C. Renee Webb
Impact in
- Aging top 5%
- Genetics, Aging, and Longevity in Model Organisms
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- Adipose Tissue and Metabolism
- Diet and metabolism studies
Papers in
-
- Epigenetics and DNA Methylation 2
- Oncology 3
- Pancreatic and Hepatic Oncology Research 1
- Co-authors
- Yuji Ikeno (2 shared papers)Gene B. Hubbard (2 shared papers)Darlene E. Berryman (1 shared paper)John J. Kopchick (1 shared paper)Seunghyung Lee (1 shared paper)Edward O. List (1 shared paper)Andrzej Bartke (1 shared paper)Ruth Ann Luna (2 shared papers)
- Journals
- Journal of Clinical Microbiology (2 papers)The Journals of Gerontology Series A (2 papers)Clinical Cancer Research (1 paper)Cancer Epidemiology Biomarkers & Prevention (1 paper)American Journal of Hematology (1 paper)
- Partner nations
- United StatesJapanHong Kong
In The Last Decade
C. Renee Webb
11 papers receiving 520 citations
Peers
Comparison fields: 5 of 69
- Aging 82
- Physiology 131
- Endocrinology, Diabetes and Metabolism 76
- Infectious Diseases 69
- Endocrine and Autonomic Systems 21
Countries citing papers authored by C. Renee Webb
This map shows the geographic impact of C. Renee Webb's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by C. Renee Webb with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C. Renee Webb more than expected).
Fields of papers citing papers by C. Renee Webb
This network shows the impact of papers produced by C. Renee Webb. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by C. Renee Webb. The network helps show where C. Renee Webb may publish in the future.
Co-authors
The 25 scholars most cited alongside C. Renee Webb, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 190 | |
| 2 | 2008 | 83 | |
| 3 | 2011 | 67 | |
| 4 | 2011 | 64 | |
| 5 | 2017 | 29 | |
| 6 | 2006 | 29 | |
| 7 | 2012 | 25 | |
| 8 | 2013 | 21 | |
| 9 | 2006 | 18 | |
| 10 | 2021 | 1 | |
| 11 | 2010 | 1 |
About C. Renee Webb
C. Renee Webb is a scholar working on Molecular Biology, Oncology, Infectious Diseases, Genetics and Hematology, having authored 11 papers that have together received 528 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (2 papers), Epigenetics and DNA Methylation (2 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers), Bone and Joint Diseases (1 paper), Pancreatic and Hepatic Oncology Research (1 paper), SARS-CoV-2 detection and testing (1 paper), Cancer Genomics and Diagnostics (1 paper) and Diet and metabolism studies (1 paper). The work is most often cited by research in Aging (82 citations), Physiology (131 citations), Endocrinology, Diabetes and Metabolism (76 citations), Infectious Diseases (69 citations) and Endocrine and Autonomic Systems (21 citations). C. Renee Webb has collaborated with scholars based in United States, Japan and Hong Kong. Frequent co-authors include Yuji Ikeno, Gene B. Hubbard, Darlene E. Berryman, John J. Kopchick, Seunghyung Lee, Edward O. List, Andrzej Bartke, Ruth Ann Luna, James Versalovic and Paula A. Revell. Their work appears in journals such as Journal of Clinical Microbiology, The Journals of Gerontology Series A, Clinical Cancer Research, Cancer Epidemiology Biomarkers & Prevention and American Journal of Hematology.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.