Susan Rotenberg | Computational Analysis | Innovative Research Award

Innovative Research Award

Susan Rotenberg
Queens College, United States

Susan Rotenberg
Affiliation Queens College
Country United States
Scopus ID 56679897600
Documents 53
Citations 2,635
h-index 29
Subject Area Computational Analysis
Event World Cell Biologist Awards
ORCID 0000-0002-6618-686X

Susan Rotenberg is a researcher affiliated with Queens College in the United States whose documented scholarly profile includes 53 indexed documents, 2,635 citations, and an h-index of 29. Her listed subject area is Computational Analysis. These bibliometric indicators provide a quantitative view of her indexed research activity and scholarly visibility. [1]

Abstract

This article presents a scholarly recognition profile for Susan Rotenberg in connection with the Innovative Research Award associated with the World Cell Biologist Awards. Her research profile is identified with Computational Analysis and is supported by bibliometric indicators including 53 documents, 2,635 citations, and an h-index of 29. The profile is intended to summarize documented research activity, publication presence, and scholarly impact using available researcher-identification and indexing information. [1]

Keywords

Susan Rotenberg; Innovative Research Award; Computational Analysis; Research Metrics; Scholarly Impact; Bibliometrics; Computational Research

Introduction

Computational analysis has become an important component of contemporary scientific research, enabling researchers to process complex datasets, identify patterns, evaluate relationships, and support reproducible analytical workflows. Within interdisciplinary research environments, computational methods can complement experimental and observational approaches by providing quantitative frameworks for interpretation. [2]

Research Profile

The available profile identifies Susan Rotenberg with Queens College, United States, and lists Computational Analysis as the principal subject area. The indexed record contains 53 documents and reports 2,635 citations with an h-index of 29. [1] These values are bibliometric descriptors rather than direct measures of research quality and should be interpreted in relation to publication fields, career stage, document types, and citation practices.

Research Contributions

The supplied bibliometric profile indicates a sustained body of indexed scholarly output. In the context of Computational Analysis, research contributions may encompass the development or application of computational methods, quantitative interpretation of scientific information, data-driven investigation, and integration of computational approaches into broader research questions. The specific contribution of each publication should be assessed from the original article, methodology, results, and citation context rather than from bibliometric indicators alone. [5]

Publications

The Scopus record supplied for this profile reports 53 documents associated with the researcher identifier 56679897600. [1] A complete publication bibliography should be obtained directly from the current author record or individual publisher records because publication metadata, author associations, citation counts, and indexing status may change over time. [3]

Research Impact

The reported 2,635 citations and h-index of 29 indicate measurable visibility of the indexed publication record within the citation database. [1] Citation-based indicators can provide useful evidence of scholarly dissemination, although they should not be interpreted as standalone measures of scientific quality, societal benefit, originality, or practical significance. [4]

Award Suitability

The Innovative Research Award recognizes research activity in which methodological development, analytical innovation, interdisciplinary application, or advancement of knowledge can be demonstrated through documented scholarly work. Based on the supplied profile, Susan Rotenberg has an established indexed publication record in Computational Analysis, together with reported citation activity and an h-index of 29. [1][4]

Conclusion

Susan Rotenberg’s supplied researcher record documents an academic affiliation with Queens College and a research focus identified as Computational Analysis. The profile reports 53 documents, 2,635 citations, and an h-index of 29. [1] These indicators establish a quantitative overview of the indexed research record and provide supporting context for consideration under the Innovative Research Award. A complete scholarly evaluation should additionally consider the substance, originality, rigor, and broader significance of the research contributions.

References

  1. Elsevier. (n.d.). Scopus author details: Susan Rotenberg, Author ID 56679897600. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=56679897600
  2. V Maddula, NS Holtzman, MC Nagan, SA Rotenberg. (2022). Phosphomimetic mutation at ser165 of α-tubulin promotes the persistence of GTP caps in microtubules.
    https://pubs.acs.org/doi/abs/10.1021/acs.biochem.2c00154
  3. R Jia, SA Rotenberg, MV Mirkin. (2022). Electrochemical Resistive-Pulse Sensing of Extracellular Vesicles.
    https://pubs.acs.org/doi/abs/10.1021/acs.analchem.2c01216
  4. R Pan, K Hu, R Jia, SA Rotenberg, D Jiang, MV Mirkin. (2020). Resistive-Pulse Sensing Inside Single Living Cells.
    https://pubs.acs.org/doi/abs/10.1021/jacs.9b13796
  5. K Hu, Y Li, SA Rotenberg, C Amatore, MV Mirkin. (2019). Electrochemical Measurements of Reactive Oxygen and Nitrogen Species inside Single Phagolysosomes of Living Macrophages.
    https://pubs.acs.org/doi/abs/10.1021/jacs.9b01217

Allegra Wundersitz | Signal Transduction Mechanisms | Young Scientist Award

Mrs. Allegra Wundersitz | Signal Transduction Mechanisms | Young Scientist Award

Mrs. Allegra Wundersitz , RWTH Aachen University, Molekulare Ökologie der Rhizosphäre , Germany

Allegra Wundersitz is a passionate molecular biologist currently pursuing her PhD at RWTH Aachen University, Germany, in the group of Molecular Ecology of the Rhizosphere. Her research delves into the molecular mechanisms of plant oxygen sensing and the regulatory role of acyl-CoA-binding proteins (ACBPs) in stress signaling. Allegra has been recognized for her academic excellence, receiving the ISPA Poster Award and the Best Botanic Master’s Thesis Award from the German Society for Plant Sciences (DBG). With expertise in cloning, yeast-two-hybrid, luciferase complementation, and computational modeling, she seamlessly integrates biochemical and molecular approaches. Allegra actively collaborates with interdisciplinary teams, bridging plant physiology, structural biology, and molecular dynamics. Her commitment to research and mentoring makes her a promising young scientist aiming to contribute not only to fundamental plant science but also to translational applications in health and agriculture.

Publication Profile:

Orcid

✅ Strengths for the Award:

  • Innovative Research Focus: Allegra’s work on acyl-CoA-binding proteins (ACBPs) in plant oxygen sensing and stress signaling demonstrates high originality. Her approach of integrating protein biochemistry, gene regulation, and computational modeling is both novel and impactful.

  • Early Recognition: Despite being in the early stages of her career, she has received notable honors, including the ISPA Poster Award and the Best Master’s Thesis Award (DBG)—highlighting the quality and relevance of her work.

  • Interdisciplinary Collaboration: She engages with experts in molecular dynamics and structural biology, enriching her research with advanced modeling of protein mutations—showing strong collaborative and technical competencies.

  • Mentorship & Leadership: Supervising undergraduate students showcases her commitment to academic development and science communication.

  • Publication Record: Her first peer-reviewed article in New Phytologist indicates strong potential for growing her scientific influence.

🧩 Areas for Improvement:

  • Professional Engagement: Joining relevant scientific societies or organizations could enhance her visibility, offer networking opportunities, and provide access to grants or awards.

  • Industry Exposure: While her current focus is on basic science, even limited engagement with applied research or biotechnology partnerships could broaden the translational scope of her work.

  • Publication Volume: As her research matures, expanding her publication record beyond reviews into primary experimental studies will strengthen her academic profile.

🎓 Education:

Allegra Wundersitz holds a Master’s degree in Plant Molecular Biology, where her thesis on acyl-CoA-binding proteins (ACBPs) earned national recognition by the German Society for Plant Sciences in 2024. She is currently a PhD student at RWTH Aachen University, Germany, specializing in the molecular ecology of the rhizosphere. Her academic training spans core fields such as structural biochemistry, plant physiology, and gene regulation. Through hands-on learning and international workshops, she has developed technical proficiency in protein interaction assays, biosensor design, and in silico modeling. Her education emphasizes a multidisciplinary approach, blending experimental and computational biology. She has also supervised undergraduate research projects, further strengthening her academic leadership. Allegra’s educational journey reflects her deep curiosity for understanding molecular mechanisms in plant biology and their broader implications.

🧪 Experience:

Allegra’s experience is rooted in academic molecular biology research. During her Master’s and now as a PhD candidate, she has completed two significant research projects: developing plant-based oxygen biosensors and exploring the role of ACBPs in gene regulation. Her current PhD project investigates how ACBPs act as acyl-CoA receptors, mediating responses to oxygen and stress in plants. She employs techniques such as yeast two-hybrid assays, luciferase complementation, cloning, and molecular modeling. Allegra has also collaborated with experts in molecular dynamics, including Prof. Maria Fyta and Dr. Chandan Das, to simulate structural effects of ACBP mutations. She has presented her work at international conferences and received a prestigious poster award at ISPA. Allegra is gaining valuable teaching experience through undergraduate supervision, making her a well-rounded early-career scientist. Though she has not yet worked in industry, her work holds potential translational value in agriculture and health.

🔍 Research Focus:

Allegra’s research centers on the role of acyl-CoA-binding proteins (ACBPs) as key molecular players in plant oxygen sensing and stress signaling. She investigates how ACBPs function as acyl-CoA receptors and modulate gene expression through dynamic protein-protein interactions. Her goal is to uncover how lipid signals like acyl-CoAs are translated into physiological responses under stress conditions. Using a combination of experimental techniques—such as cloning, luciferase complementation assays, yeast-two-hybrid screens—and computational molecular dynamics, she deciphers the structural and functional aspects of ACBP interactions. Her research not only expands fundamental plant molecular biology but also contributes insights with potential applications in crop resilience, metabolic regulation, and even human health, given ACBPs’ links to cancer and metabolic disorders. Through interdisciplinary collaboration, Allegra aims to bridge structural biochemistry and plant physiology to understand how cells adapt to fluctuating oxygen and energy levels.

📚 Publications Top Notes:

  • 🧬 Acyl-CoA-binding proteins: bridging long-chain acyl-CoA metabolism to gene regulation – Tansley Insight, New Phytologist (April 22, 2025)

🧾 Conclusion:

Allegra Wundersitz is a highly promising young researcher who combines technical excellence, creativity, and interdisciplinary integration in her approach to plant molecular biology. Her foundational work on ACBPs not only deepens our understanding of plant stress responses but also hints at broader implications in health and metabolic research. With her trajectory and dedication, she is an ideal candidate for the Young Scientist Award, and this recognition would further support her impactful scientific journey.