Jean E. Bemis
Impact in
- Geriatrics and Gerontology top 0.5%
- Sirtuins and Resveratrol in Medicine
- Physiology top 2%
- Adipose Tissue and Metabolism
- Calcium signaling and nucleotide metabolism
- Biochemical effects in animals
Papers in
-
- Protein Kinase Regulation and GTPase Signaling 3
- Peroxisome Proliferator-Activated Receptors 1
- Mitochondrial Function and Pathology 1
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- Sirtuins and Resveratrol in Medicine 5
- Co-authors
- Jill C. Milne (6 shared papers)Michael R. Jirousek (5 shared papers)Robert B. Perni (4 shared papers)Lei Jin (3 shared papers)Christoph Westphal (2 shared papers)J. Joshua Smith (3 shared papers)David P. Carney (3 shared papers)Joseph J. Nunes (4 shared papers)
- Journals
- Bioorganic & Medicinal Chemistry Letters (4 papers)Journal of Medicinal Chemistry (2 papers)Protein Science (1 paper)The FASEB Journal (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Jean E. Bemis
9 papers receiving 759 citations
Peers
Comparison fields: 5 of 81
- Geriatrics and Gerontology 409
- Physiology 109
- Physiology 194
- Aging 14
- Epidemiology 199
Countries citing papers authored by Jean E. Bemis
This map shows the geographic impact of Jean E. Bemis'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 Jean E. Bemis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jean E. Bemis more than expected).
Fields of papers citing papers by Jean E. Bemis
This network shows the impact of papers produced by Jean E. Bemis. 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 Jean E. Bemis. The network helps show where Jean E. Bemis may publish in the future.
Co-authors
The 25 scholars most cited alongside Jean E. Bemis, 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 | 181 | |
| 2 | 2009 | 179 | |
| 3 | 2009 | 134 | |
| 4 | 2009 | 102 | |
| 5 | 2008 | 75 | |
| 6 | 2007 | 37 | |
| 7 | 2007 | 28 | |
| 8 | 2016 | 22 | |
| 9 | 2003 | 19 |
About Jean E. Bemis
Jean E. Bemis is a scholar working on Molecular Biology, Geriatrics and Gerontology, Physiology, Epidemiology and Organic Chemistry, having authored 9 papers that have together received 777 indexed citations. Recurring topics across this work include Sirtuins and Resveratrol in Medicine (5 papers), Biochemical effects in animals (4 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Autophagy in Disease and Therapy (2 papers), Peroxisome Proliferator-Activated Receptors (1 paper), Bioactive Compounds and Antitumor Agents (1 paper), Enzyme Structure and Function (1 paper) and Mitochondrial Function and Pathology (1 paper). The work is most often cited by research in Geriatrics and Gerontology (409 citations), Physiology (109 citations), Physiology (194 citations), Aging (14 citations) and Epidemiology (199 citations). Jean E. Bemis has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Jill C. Milne, Michael R. Jirousek, Robert B. Perni, Lei Jin, Christoph Westphal, J. Joshua Smith, David P. Carney, Joseph J. Nunes, Wentao Wei and Mao Chen. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Journal of Medicinal Chemistry, Protein Science, The FASEB Journal and Journal of Biological Chemistry.
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.