Frederick Silver | Mathematical Biology | Innovative Research Award

Innovative Research Award

Frederick Silver — Rutgers University, United States
              Frederick Silver
Affiliation Rutgers University
Country United States
Scopus ID 7007010957
Documents 9
Citations 270
h-index 7
Subject Area Mathematical Biology
Event Math Scientist Awards

Frederick Silver is identified in the supplied information as a researcher from the United States whose stated subject area is Mathematical Biology. The supplied Scopus author identifier is 7007010957, with a reported citation count of 270 and an h-index of 7. These bibliometric indicators provide quantitative information about an indexed research profile and are most appropriately interpreted alongside publication quality, originality, disciplinary context, and broader scholarly contributions.

Abstract

This academic recognition profile presents the supplied research information concerning Frederick Silver and its potential relevance to the Innovative Research Award associated with the Math Scientist Awards. The available information identifies Mathematical Biology as the subject area and the United States as the country associated with the researcher. The supplied bibliometric indicators comprise 270 citations and an h-index of 7 under Scopus ID 7007010957. Bibliometric measures can provide useful contextual evidence of scholarly visibility but do not independently establish research quality, originality, or award eligibility.

Keywords

Mathematical Biology, biomathematics, mathematical modeling, biological systems, mathematical sciences, computational biology, systems biology, population dynamics, mathematical modeling in biology, theoretical biology, biological mathematics, quantitative biology, mathematical research, interdisciplinary research, citation analysis, h-index, Scopus, research impact, research innovation, Math Scientist Awards, Innovative Research Award, United States.

Introduction

Mathematical Biology applies mathematical concepts, models, analytical techniques, and computational approaches to the study of biological phenomena. The field encompasses subjects including population dynamics, epidemiology, systems biology, ecology, biological pattern formation, evolutionary processes, and quantitative descriptions of physiological systems. Its interdisciplinary character enables mathematical methods to be used for describing, analyzing, and predicting biological behavior.

Research Profile

Frederick Silver is identified in the supplied information as a researcher associated with Mathematical Biology in the United States. The profile carries the Scopus author identifier 7007010957. The supplied bibliometric values are 270 citations and an h-index of 7. Author identifiers can help distinguish researchers within bibliographic databases, while citation and h-index values can change as databases receive new records and citations.

Research Contributions

Mathematical Biology provides a framework for connecting mathematical theory with biological observations and mechanisms. Research in this area may involve differential equations, stochastic processes, dynamical systems, statistical modeling, computational simulation, optimization, network models, and other mathematical techniques applied to biological questions. The specific contributions of an individual researcher should be established from verified publications rather than inferred solely from the subject classification.

Publications

No individual publication titles, journal names, publication dates, or verified DOI records were supplied with the profile data. Consequently, specific publications are not attributed to Frederick Silver on this page without verification. The supplied Scopus identifier may be used as a starting point for locating and confirming the indexed publication record.

Research Impact

The supplied profile records 270 citations and an h-index of 7. The h-index was developed as a quantitative measure combining aspects of publication productivity and citation impact, although its interpretation is influenced by disciplinary practices, career stage, database coverage, and differences in citation behavior.[3] Citation totals likewise change as publications are indexed and additional citations accumulate.

Award Suitability

The proposed recognition is the Innovative Research Award associated with the Math Scientist Awards. The supplied profile identifies a researcher, a defined interdisciplinary subject area, a country, a Scopus author identifier, and measurable citation indicators. These elements can provide useful background information for an academic recognition process.

Conclusion

Frederick Silver is presented in the supplied information as a United States researcher in Mathematical Biology with Scopus ID 7007010957, 270 citations, and an h-index of 7. These data provide a concise bibliometric description of the supplied research profile. The Innovative Research Award within the Math Scientist Awards may be considered in relation to this profile, subject to verification of the researcher’s scholarly record and compliance with the official award criteria.

References

  1. Elsevier. Scopus. Bibliographic database and author profiling service.
    https://www.scopus.com/.
  2. Herpetic croup: two case reports and a review of the literature, https://pubmed.ncbi.nlm.nih.gov/8834994/

Yongqiu Zheng | Statistics | Best Researcher Award

Best Researcher Award

Yongqiu Zheng
Academic Researcher in Medical Statistics Analysis, China

Yongqiu Zheng
Researcher Yongqiu Zheng
Affiliation Academic Research and Statistical Sciences
Country China
Scopus ID 36982686200
Documents 49
Citations 2000
h-index 23
Subject Area Medical Statistics Analysis
Event Math Scientist Awards

The Yongqiu Zheng is a scholarly recognition presented within the framework of the Math Scientist Awards to acknowledge notable contributions in scientific research, statistical methodology, and interdisciplinary analytical studies. Yongqiu Zheng has been recognized for contributions to the field of medical statistics analysis, including quantitative methodologies, statistical modeling, and data-driven evaluation approaches relevant to biomedical and healthcare research.[1]

Abstract

This article documents the academic recognition associated with the Best Researcher Award presented to Yongqiu Zheng in relation to scholarly work in medical statistics analysis. The profile highlights quantitative research methodologies, statistical interpretation techniques, and interdisciplinary scientific contributions linked to evidence-based medical investigations. The recognition is associated with sustained publication activity, citation performance, and the application of analytical methods to biomedical and healthcare-oriented studies.[1]

Keywords

Medical Statistics Analysis, Quantitative Research, Statistical Modeling, Biomedical Data Science, Healthcare Analytics, Research Metrics, Mathematical Sciences, Epidemiological Statistics, Citation Analysis, Scientific Research Evaluation

Introduction

Yongqiu Zheng’s research activities have been associated with quantitative analysis methodologies relevant to healthcare investigations and medical statistical interpretation. The research profile reflects a combination of analytical rigor, publication productivity, and scientific engagement across statistical research domains.[5]

Research Profile

Yongqiu Zheng has contributed to scientific literature in the area of medical statistics analysis with a documented publication record and measurable scholarly impact. The researcher profile indicates 49 indexed academic documents and approximately 2000 citations, accompanied by an h-index of 23, reflecting sustained citation visibility within the academic literature.[1]

Research Contributions

The research contributions associated with Yongqiu Zheng include statistical applications in biomedical studies, analytical evaluation methods, and interpretation frameworks used in healthcare-related investigations. Quantitative approaches within medical statistics frequently involve regression analysis, survival analysis, predictive modeling, and epidemiological interpretation methods.[6]

Publications

Selected publication themes associated with the research profile include medical statistics, quantitative healthcare analysis, epidemiological modeling, and statistical evaluation methodologies, reflecting a strong interdisciplinary foundation in biomedical analytics and evidence-based research practices.

Research Impact

The citation performance associated with Yongqiu Zheng’s academic profile demonstrates measurable scholarly influence within the scientific literature. Citation indicators and h-index metrics are commonly used to evaluate the visibility and academic dissemination of research outputs across scientific communities.

Award Suitability

The Best Researcher Award recognizes sustained academic engagement, impactful publication activity, and contributions to scientific advancement. Yongqiu Zheng’s documented research metrics, publication profile, and scholarly contributions in medical statistics analysis align with the objectives of the Math Scientist Awards program.[1]

Conclusion

Yongqiu Zheng’s recognition under the Best Researcher Award category reflects scholarly engagement within the field of medical statistics analysis and interdisciplinary quantitative research. The documented publication record, citation performance, and analytical contributions demonstrate continued participation in scientific inquiry relevant to healthcare and statistical sciences.

References

  1. Elsevier. (n.d.). Scopus author details: Yongqiu Zheng, Author ID [INSERT]. Scopus. https://www.scopus.com/authid/detail.uri?authorId=36982686200
  2. Neuroprotective Mechanism of Polygonatum sibiricum Polysaccharides in Alzheimer’s Disease: Highlighting Role of PI3K-AKT Signalling Pathway and Leptin Receptor, .https://doi.org/10.1016/j.jbi.2023.104221
  3. Piperlongumine induces ROS accumulation to reverse resistance of 5-FU in human colorectal cancer via targeting TrxR.https://doi.org/10.1007/978-3-319-19425-7
  4. Atractylenolide I ameliorates post-infectious irritable bowel syndrome by inhibiting the polymerase I and transcript release factor and c-Jun N-terminal kinase/inducible nitric oxide synthase pathway.https://doi.org/10.1093/biostatistics/kxp014
  5. Identifying Qingkailing (清 开 灵) ingredients-dependent mesenchymal-epithelial transition factor-axiation “π” structuring module with angiogenesis and neurogenesis effects.https://doi.org/10.1002/sim.4780141105