James M. Kramer
Impact in
- Aging top 0.01%
- Genetics, Aging, and Longevity in Model Organisms
- Endocrine and Autonomic Systems top 0.5%
- Circadian rhythm and melatonin
Papers in
- Aging 47
- Genetics, Aging, and Longevity in Model Organisms 47
-
- Muscle Physiology and Disorders 10
- Prion Diseases and Protein Misfolding 6
- Co-authors
- Dan T. StinchcombVictor AmbrosJ J JohnsonGeorge N. CoxDavid HirshRandall P. FrenchJeffrey J. JohnsonSanjeev Satyal
- Journals
- Molecular and Cellular Biology (8 papers)Journal of Biological Chemistry (4 papers)Genetics (4 papers)Proceedings of the National Academy of Sciences (4 papers)The Journal of Cell Biology (4 papers)
- Partner nations
- United StatesCanadaNetherlands
In The Last Decade
James M. Kramer
67 papers receiving 6.6k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Aging 4.2k
- Endocrine and Autonomic Systems 1.1k
- Cell Biology 928
- Immunology and Allergy 342
- Molecular Biology 3.6k
Countries citing papers authored by James M. Kramer
This map shows the geographic impact of James M. Kramer'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 James M. Kramer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James M. Kramer more than expected).
Fields of papers citing papers by James M. Kramer
This network shows the impact of papers produced by James M. Kramer. 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 James M. Kramer. The network helps show where James M. Kramer may publish in the future.
Co-authorship network
The 25 scholars most cited alongside James M. Kramer, 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 | 2025 | 1 | |
| 2 | 2023 | 15 | |
| 3 | 2012 | 15 | |
| 4 | 2005 | 162 | |
| 5 | 2005 | 45 | |
| 6 | 2005 | 25 | |
| 7 | 2002 | 75 | |
| 8 | 2000 | 75 | |
| 9 | 1999 | 2 | |
| 10 | 1999 | 22 | |
| 11 | 1998 | 23 | |
| 12 | 1998 | 197 | |
| 13 | 1994 | 7 | |
| 14 | 1994 | 23 | |
| 15 | 1993 | 14 | |
| 16 | 1993 | 77 | |
| 17 | 1991 | 86 | |
| 18 | 1989 | 58 | |
| 19 | 1988 | 103 | |
| 20 | 1982 | 38 |
About James M. Kramer
James M. Kramer is a scholar working on Aging, Molecular Biology, Cell Biology, General Agricultural and Biological Sciences and Reproductive Medicine, having authored 68 papers that have together received 6.7k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (47 papers), Muscle Physiology and Disorders (10 papers), Cellular Mechanics and Interactions (8 papers), Spaceflight effects on biology (6 papers), Prion Diseases and Protein Misfolding (6 papers), Animal Genetics and Reproduction (6 papers), Bioeconomy and Sustainability Development (4 papers) and Reproductive Biology and Fertility (4 papers). The work is most often cited by research in Aging (4.2k citations), Endocrine and Autonomic Systems (1.1k citations), Cell Biology (928 citations), Immunology and Allergy (342 citations) and Molecular Biology (3.6k citations). James M. Kramer has collaborated with scholars based in United States, Canada and Netherlands. Frequent co-authors include Dan T. Stinchcomb, Victor Ambros, J J Johnson, George N. Cox, David Hirsh, Randall P. French, Jeffrey J. Johnson, Sanjeev Satyal, Robert P. Erickson and Patricia Graham. Their work appears in journals such as Molecular and Cellular Biology, Journal of Biological Chemistry, Genetics, Proceedings of the National Academy of Sciences and The Journal of Cell 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.