Yan Jiao | Cancer Cell Biology | Best Researcher Award

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Dr. Yan Jiao | Cancer Cell Biology | Best Researcher Award

Dr. Yan Jiao, First Hospital of Jilin University, China

Dr. Yan Jiao is an accomplished Attending Physician and clinical researcher at the First Hospital of Jilin University, specializing in hepatobiliary and pancreatic diseases. With dual degrees—a Bachelor of Medicine and a Ph.D. from Jilin University—Dr. Jiao has combined clinical acumen with deep expertise in bioinformatics and statistical analysis. A prolific researcher, Dr. Jiao has published extensively on topics ranging from liver cancer and immunotherapy to the adverse effects of diagnostic dyes and post-surgical complications. Notably, Dr. Jiao has contributed to scientific integrity through independent verification of published data and has reported anomalies that led to editorial actions. Skilled in R programming and mining public health datasets, Dr. Jiao blends analytical precision with a commitment to improving patient outcomes. Recognized for a meticulous approach to research, Dr. Jiao’s work exemplifies scientific rigor and ethical responsibility, making a compelling case for the Best Researcher Award.

Publication Profile:

Orcid

✅ Strengths for the Award:

  1. Outstanding Publication Record:
    Dr. Jiao has co-authored over 20 peer-reviewed journal articles in high-impact journals like Scientific Reports, International Journal of Nanomedicine, and World Journal of Gastrointestinal Surgery. The research spans critical fields like liver cancer, gastric cancer, bioinformatics, and surgical safety, demonstrating multidisciplinary excellence.

  2. High Ethical Standards:
    A rare and commendable contribution is Dr. Jiao’s work in scientific integrity—verifying published studies, detecting image manipulation, and triggering investigations into misconduct. This highlights not only academic rigor but also moral responsibility in research.

  3. Bioinformatics Expertise:
    Proficient in R programming and analysis of large public datasets (FAERS, NHANES, TCGA), Dr. Jiao merges clinical insight with data science to generate real-world impact. The capacity to handle complex data with statistical precision is vital in modern medical research.

  4. Clinical & Research Integration:
    As a practicing Attending Physician in hepatobiliary and pancreatic diseases, Dr. Jiao directly applies research outcomes to clinical settings. This dual competency strengthens translational research and improves patient-centered outcomes.

  5. Collaborative Network:
    Dr. Jiao has worked with a wide range of co-authors, showing adaptability and a collaborative spirit. This not only strengthens individual studies but also reflects influence within a broader research community.

🛠️ Areas for Improvement:

  1. Global Research Visibility:
    While Dr. Jiao has a strong publication portfolio, more engagement with global conferences, keynote presentations, and international collaborations would enhance international recognition.

  2. Grant Leadership:
    There is limited information on independent research funding or grant leadership. Applying for and leading funded projects could further establish Dr. Jiao’s credentials as a principal investigator.

  3. First-Author Publications:
    Though a frequent contributor, a higher proportion of first-author or corresponding-author roles would solidify recognition as a lead researcher, particularly in high-impact original studies.

🎓 Education:

Dr. Yan Jiao pursued both undergraduate and doctoral studies at Jilin University, one of China’s top research institutions. From 2011 to 2016, Dr. Jiao earned a Bachelor of Medicine, laying the groundwork in clinical sciences and human biology. Continuing seamlessly into advanced research, Dr. Jiao completed a Ph.D. at the same university from 2016 to 2019, with a focus on hepatobiliary diseases and translational bioinformatics. The doctoral training combined clinical exposure with robust coursework in molecular biology, epidemiology, and data science. This dual qualification reflects a rare integration of frontline medical experience and deep academic inquiry, preparing Dr. Jiao for a career at the intersection of medicine, research, and technological innovation. Throughout academic training, Dr. Jiao demonstrated a strong aptitude for evidence-based medicine and statistical modeling, gaining recognition for a disciplined and inquisitive approach. The education path reflects a trajectory of consistent excellence and interdisciplinary competence.

💼 Professional Experience:

Dr. Yan Jiao currently serves as an Attending Physician at the First Hospital of Jilin University, where the clinical focus lies in hepatobiliary and pancreatic diseases. In this role, Dr. Jiao combines patient care with research initiatives, particularly in liver cancer. Beyond clinical duties, Dr. Jiao is actively engaged in bioinformatics research, utilizing datasets like FAERS, TCGA, and NHANES to uncover patterns in disease and treatment outcomes. With expert-level proficiency in R programming, Dr. Jiao conducts complex statistical analyses and visualizations. A distinct part of Dr. Jiao’s experience involves auditing the scientific literature for data anomalies and image manipulation, contributing anonymously to investigations into research misconduct. This dual role as a clinician and data scientist uniquely positions Dr. Jiao to address both practical and theoretical challenges in healthcare. Dr. Jiao’s professional journey underscores a rare blend of technical skills, ethical vigilance, and medical expertise, reinforcing eligibility for prestigious research awards.

🔬 Research Focus:

Dr. Yan Jiao’s research is deeply rooted in hepatobiliary oncology, with a specific focus on liver cancer diagnosis, treatment strategies, and prognosis modeling. Integrating clinical insights with computational analysis, Dr. Jiao utilizes large public datasets like TCGA, FAERS, and NHANES to examine treatment efficacy, drug safety, and genetic risk factors. A significant thrust of the research lies in immunotherapy, chemoembolization techniques, and the safety of diagnostic agents like Indocyanine Green. Dr. Jiao also explores post-operative complications and gastrointestinal disorders, broadening the scope of clinical relevance. Equally important is the investigation into scientific integrity, where Dr. Jiao’s efforts in identifying manipulated data and statistical inconsistencies have led to editorial scrutiny in major journals. By bridging bioinformatics with hands-on medical practice, the research offers both theoretical advancements and actionable clinical solutions. Dr. Jiao’s focus is future-facing, centered on personalized treatment and real-world data analysis to optimize patient outcomes.

📚 Publications Top Notes:

  1. 📉 Obesity-Surgery is not the end.

  2. 💉 Landscape of transarterial chemoembolization for hepatocellular carcinoma.

  3. 🧬 Immunotherapy for metastatic gastric cancer.

  4. ⚠️ Exploring the dark side of diagnostic dyes – Indocyanine green.

  5. 🧬 Long non-coding RNA HOTAIR in liver cancer cell behavior.

  6. 🧪 Abraxane-related adverse events – FAERS decade-long analysis.

  7. 🧬 Personalized treatment of perihilar cholangiocarcinoma.

  8. 💊 Impact of immunotherapy on liver metastasis.

  9. 🏥 Incisional hernia after laparoscopic colorectal surgery.

  10. 🔍 Intestinal Behçet’s disease: Diagnosis and treatment.

🧾 Conclusion:

Dr. Yan Jiao is a highly qualified and deserving candidate for the Best Researcher Award. With an exceptional combination of clinical experience, research productivity, ethical vigilance, and bioinformatics expertise, Dr. Jiao stands out as a well-rounded and impactful medical scientist. While there is room to further elevate global visibility and leadership in grant-funded research, the current portfolio already reflects excellence in translational science and data-driven healthcare. In conclusion, Dr. Jiao’s contributions are not only prolific but principled—making this nomination both timely and justified.

Weikuan Gu | Cancer Cell Biology | Best Researcher Award

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Prof. Weikuan Gu | Cancer Cell Biology | Best Researcher Award

Prof. Weikuan Gu , UTHSC , United States

Weikuan Gu is a Professor at the University of Tennessee Health Science Center, specializing in biomedical research with a focus on disease modeling, genetic factors influencing health, and drug efficacy. After earning his MS and Ph.D. from Cornell University, he worked on eye diseases, osteoporosis, and genetics before joining UTHSC in 2002. His contributions in AI applications for biomedical research are noteworthy. He has developed the Principal Law of Lifespan (PLOSP) theory and has been recognized for his leadership in various international collaborative projects. With a significant role in numerous NIH-funded studies, his research continues to push boundaries in understanding disease mechanisms and therapeutics.

Publication Profile: 

Google Scholar

Strengths for the Award:

  1. Extensive Research Experience: Professor Weikuan Gu has over two decades of experience in biomedical research, demonstrating expertise across a wide array of disease models, drug efficacy, and genetic factors influencing health. His work spans a variety of high-impact fields such as ophthalmology, osteoporosis, arthritis, and genomics, showcasing a strong commitment to advancing understanding in multiple medical domains.

  2. Innovative Research Leadership: Professor Gu has been instrumental in leading and contributing to groundbreaking research, including his development of the Principal Law of Lifespan (PLOSP). His ability to innovate, especially in applying AI to biomedical research, positions him at the forefront of cutting-edge science and technology.

  3. Funded Projects & International Collaborations: He has secured substantial funding for his projects, totaling millions of dollars, and has led many high-profile international collaborations. This speaks to the global relevance and potential impact of his work, as well as his ability to manage large-scale research initiatives.

  4. Research Output and Citations: With 175 published scientific papers and multiple accepted articles in prestigious journals such as Cancer Letters and Ecotoxicology and Environmental Safety, his research continues to have a significant impact on the scientific community. His most recent work on AI applications and its implications for public health and disease diagnosis are particularly notable.

  5. Contribution to Education and Training: Professor Gu has played a key role in training future researchers, as evident from his leadership in the Gene Discovery Microarray Core at UTHSC and his involvement in several research education collaborations internationally. His contributions to scientific training are essential for developing the next generation of researchers.

Areas for Improvement:

  1. Broader Public Outreach: While Professor Gu’s research has made significant contributions to the scientific community, there is room to enhance the visibility of his work among broader audiences, including policy makers, healthcare professionals, and the general public. Public engagement with his AI-focused research could improve the real-world application of his findings, especially in public health.

  2. Interdisciplinary Collaboration: Although his collaborations are already diverse, fostering even more interdisciplinary collaborations with experts from areas like data science, engineering, and social sciences could expand the scope of his research, especially in areas like AI and healthcare.

Education:

Dr. Gu completed his MS and Ph.D. from Cornell University, where he specialized in molecular genetics. His academic journey focused on genetic disorders, particularly in disease modeling and understanding complex genetic mechanisms. His research provided foundational insights into eye diseases and osteoporosis, leading to his early work at Loma Linda University and later at the University of Tennessee Health Science Center. His vast academic knowledge enables him to merge genetic research with cutting-edge technologies, including AI applications in biomedical research, paving the way for transformative healthcare solutions.

Experience:

Dr. Weikuan Gu has a rich career that spans over two decades in biomedical research. His early work at Loma Linda University involved osteoporosis and genetic studies in human and mouse models. Since joining the University of Tennessee Health Science Center in 2002, his research expanded to disease modeling, drug efficacy, and the role of genetics in health. He has been a principal investigator and co-investigator in numerous NIH-funded projects, specializing in genetic factors influencing diseases like osteoarthritis, fibrotic diseases, and stroke. Additionally, he is involved in AI-based research, advancing the integration of AI in biomedical research methodologies.

Research Focus:

Dr. Weikuan Gu’s research is centered on understanding disease mechanisms and therapeutic strategies, with a focus on genetic and molecular factors. His work spans glaucoma therapy, fibrotic diseases, and AI in biomedical research. He is the lead on various NIH-funded projects, investigating genetic regulation in conditions like osteoarthritis and stroke. One of his innovative contributions is the Principal Law of Lifespan (PLOSP), a theory aimed at understanding the aging process. His multidisciplinary approach, combining traditional genetic research with modern technologies such as AI, positions him at the forefront of cutting-edge biomedical research.

Publications Top Notes:

  1. “Generating Research Hypotheses to Overcome Key Challenges in the Early Diagnosis of Colorectal Cancer – Future Application of AI” 🧬
  2. “Alarm: Retracted Articles on Cancer Imaging Are Not Only Continuously Cited by Publications but Also Used by ChatGPT to Answer Questions” 💻
  3. “Evaluation of the Potential Value of Artificial Intelligence (AI) in Public Health Using Fluoride Intake as the Example” 🤖

Conclusion:

Professor Weikuan Gu is an exceptionally qualified candidate for the Best Researcher Award. His extensive experience, leadership in innovative research, impressive body of published work, and commitment to advancing both scientific discovery and education make him a standout candidate. While there are opportunities for further enhancing public outreach and expanding interdisciplinary collaborations, his ongoing contributions to AI in biomedicine and genetic research firmly establish him as a leader in his field.