Sherry M. Lewis
- Molecular Biology
- Physiology top 5%
- Health, Toxicology and Mutagenesis top 2%
- Aging top 1%
- Cardiology and Cardiovascular Medicine top 10%
- Co-authors
- Ronald W. HartAngelo TurturroBruce S. HassRuth D. LipmanWilliam W. WittLuísa CamachoMichelle M. VanlandinghamJames C. Fuscoe
- Topics
- Effects and risks of endocrine disrupting chemicals (8 papers)Adipose Tissue and Metabolism (8 papers)Genetics, Aging, and Longevity in Model Organisms (6 papers)
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchMolecular and Cellular Biology
- Partner nations
- United StatesSouth KoreaUnited Kingdom
In The Last Decade
Sherry M. Lewis
47 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 134
- Molecular Biology 562
- Physiology 485
- Health, Toxicology and Mutagenesis 416
- Aging 221
- Cardiology and Cardiovascular Medicine 189
Countries citing papers authored by Sherry M. Lewis
This map shows the geographic impact of Sherry M. Lewis'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 Sherry M. Lewis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sherry M. Lewis more than expected).
Fields of papers citing papers by Sherry M. Lewis
This network shows the impact of papers produced by Sherry M. Lewis. 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 Sherry M. Lewis. The network helps show where Sherry M. Lewis may publish in the future.
Co-authorship network of co-authors of Sherry M. Lewis
This figure shows the co-authorship network connecting the top 25 collaborators of Sherry M. Lewis. A scholar is included among the top collaborators of Sherry M. Lewis based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sherry M. Lewis. Sherry M. Lewis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 43 | |
| 3 | 28 | |
| 4 | 12 | |
| 5 | 34 | |
| 6 | 132 | |
| 7 | Necessary Approaches to USDA Program Access and Outreach toward American Indians and other Minority Audiences | 1 |
| 8 | 94 | |
| 9 | 3 | |
| 10 | 4 | |
| 11 | 12 | |
| 12 | 13 | |
| 13 | 16 | |
| 14 | 25 | |
| 15 | 46 | |
| 16 | 18 | |
| 17 | 4 | |
| 18 | Growth Curves and Survival Characteristics of the Animals Used in the Biomarkers of Aging Programbreakdown → | 556 |
| 19 | 15 | |
| 20 | 57 |
About Sherry M. Lewis
Sherry M. Lewis is a scholar working on Aging, Health, Toxicology and Mutagenesis and Physiology, having authored 47 papers that have together received 2.0k indexed citations. Recurring topics across this work include Effects and risks of endocrine disrupting chemicals (8 papers), Adipose Tissue and Metabolism (8 papers) and Genetics, Aging, and Longevity in Model Organisms (6 papers). The work is most often cited by research in Aging (221 citations), Health, Toxicology and Mutagenesis (416 citations) and Physiology (485 citations). Sherry M. Lewis has collaborated with scholars based in United States, South Korea and United Kingdom. Frequent co-authors include Ronald W. Hart, Angelo Turturro, Bruce S. Hass, Ruth D. Lipman, William W. Witt, Luísa Camacho, Michelle M. Vanlandingham, James C. Fuscoe, Varsha G. Desai and Taewon Lee. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Molecular and Cellular Biology.
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.