Jonathan M. Graff
Impact in
- Aging top 0.5%
- Molecular Biology top 1%
- TGF-β signaling in diseases
- Developmental Biology and Gene Regulation
- Protein Kinase Regulation and GTPase Signaling
- Wnt/β-catenin signaling in development and cancer
- Cancer-related gene regulation
Papers in
-
- TGF-β signaling in diseases 13
- Protein Kinase Regulation and GTPase Signaling 9
- Developmental Biology and Gene Regulation 7
- Aging 7
- Genetics, Aging, and Longevity in Model Organisms 7
- Co-authors
- Renée M. McKay (9 shared papers)Daniel Zeve (10 shared papers)Daniel C. Berry (8 shared papers)Perry J. Blackshear (9 shared papers)Douglas A. Melton (3 shared papers)Jae Myoung Suh (10 shared papers)Wei Tang (5 shared papers)Yuwei Jiang (6 shared papers)
- Journals
- Journal of Biological Chemistry (8 papers)Cell Metabolism (7 papers)Cell (5 papers)Development (5 papers)Nature Communications (4 papers)
- Partner nations
- United StatesCanadaAustralia
In The Last Decade
Jonathan M. Graff
65 papers receiving 8.5k citations
Jonathan M. Graff's Hit Papers
Peers
Comparison fields: 5 of 126
- Aging 354
- Molecular Biology 5.2k
- Physiology 1.8k
- Cell Biology 1.0k
- Genetics 453
Countries citing papers authored by Jonathan M. Graff
This map shows the geographic impact of Jonathan M. Graff'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 Jonathan M. Graff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan M. Graff more than expected).
Fields of papers citing papers by Jonathan M. Graff
This network shows the impact of papers produced by Jonathan M. Graff. 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 Jonathan M. Graff. The network helps show where Jonathan M. Graff may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan M. Graff, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | White Fat Progenitor Cells Reside in the Adipose Vasculature Hit paper breakdown → | 2008 | 928 |
| 2 | 1998 | 578 | |
| 3 | 1994 | 421 | |
| 4 | 1996 | 389 | |
| 5 | 1999 | 378 | |
| 6 | 1989 | 307 | |
| 7 | 2007 | 302 | |
| 8 | 2013 | 269 | |
| 9 | 2003 | 254 | |
| 10 | 2006 | 230 | |
| 11 | 1989 | 229 | |
| 12 | 2009 | 209 | |
| 13 | 1996 | 194 | |
| 14 | 1997 | 193 | |
| 15 | 2009 | 187 | |
| 16 | 2016 | 169 | |
| 17 | 2011 | 166 | |
| 18 | 2008 | 162 | |
| 19 | 2013 | 160 | |
| 20 | 2019 | 156 |
About Jonathan M. Graff
Jonathan M. Graff is a scholar working on Molecular Biology, Aging, Physiology, Epidemiology and Rehabilitation, having authored 66 papers that have together received 8.6k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (16 papers), TGF-β signaling in diseases (13 papers), Adipokines, Inflammation, and Metabolic Diseases (11 papers), Protein Kinase Regulation and GTPase Signaling (9 papers), Developmental Biology and Gene Regulation (7 papers), Genetics, Aging, and Longevity in Model Organisms (7 papers), Enzyme Structure and Function (6 papers) and Neurobiology and Insect Physiology Research (5 papers). The work is most often cited by research in Aging (354 citations), Molecular Biology (5.2k citations), Physiology (1.8k citations), Cell Biology (1.0k citations) and Genetics (453 citations). Jonathan M. Graff has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Renée M. McKay, Daniel Zeve, Daniel C. Berry, Perry J. Blackshear, Douglas A. Melton, Jae Myoung Suh, Wei Tang, Yuwei Jiang, James A. Richardson and Michael Kyba. Their work appears in journals such as Journal of Biological Chemistry, Cell Metabolism, Cell, Development and Nature Communications.
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.