Jonathan M. Dreyfuss
Impact in
- Aging top 1%
- Cancer Research top 2%
- MicroRNA in disease regulation
Papers in
-
- Metabolism, Diabetes, and Cancer 12
- Gut microbiota and health 5
- Muscle Physiology and Disorders 5
- Physiology 26
- Adipose Tissue and Metabolism 18
- Diet and metabolism studies 9
- Co-authors
- C. Ronald Kahn (15 shared papers)Masaji Sakaguchi (3 shared papers)Jonathon N. Winnay (3 shared papers)Hui Pan (29 shared papers)Masahiro Konishi (2 shared papers)Marcelo A. Mori (2 shared papers)Steven Grinspoon (2 shared papers)Phillip Görden (2 shared papers)
- Journals
- Journal of Clinical Investigation (6 papers)Diabetes (6 papers)Cell Metabolism (3 papers)Cell Reports (3 papers)Molecular Metabolism (3 papers)
- Partner nations
- United StatesGermanyBrazil
In The Last Decade
Jonathan M. Dreyfuss
71 papers receiving 4.3k citations
Jonathan M. Dreyfuss's Hit Papers
Peers
Comparison fields: 5 of 146
- Aging 184
- Cancer Research 801
- Physiology 1.3k
- Molecular Biology 2.4k
- Endocrinology, Diabetes and Metabolism 404
Countries citing papers authored by Jonathan M. Dreyfuss
This map shows the geographic impact of Jonathan M. Dreyfuss'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. Dreyfuss 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. Dreyfuss more than expected).
Fields of papers citing papers by Jonathan M. Dreyfuss
This network shows the impact of papers produced by Jonathan M. Dreyfuss. 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. Dreyfuss. The network helps show where Jonathan M. Dreyfuss may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan M. Dreyfuss, 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 74 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Adipose-derived circulating miRNAs regulate gene expression in other tissues Hit paper breakdown → | 2017 | 1131 |
| 2 | 2015 | 204 | |
| 3 | 2019 | 183 | |
| 4 | 2018 | 172 | |
| 5 | 2017 | 155 | |
| 6 | 2015 | 151 | |
| 7 | 2018 | 129 | |
| 8 | 2016 | 124 | |
| 9 | 2017 | 121 | |
| 10 | 2016 | 118 | |
| 11 | 2019 | 98 | |
| 12 | 2016 | 90 | |
| 13 | 2007 | 85 | |
| 14 | 2010 | 84 | |
| 15 | 2018 | 77 | |
| 16 | 2020 | 76 | |
| 17 | 2005 | 73 | |
| 18 | 2006 | 69 | |
| 19 | 2021 | 68 | |
| 20 | 2010 | 66 |
About Jonathan M. Dreyfuss
Jonathan M. Dreyfuss is a scholar working on Molecular Biology, Physiology, Surgery, Epidemiology and Endocrinology, Diabetes and Metabolism, having authored 74 papers that have together received 4.4k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (18 papers), Metabolism, Diabetes, and Cancer (12 papers), Diet and metabolism studies (9 papers), Pancreatic function and diabetes (9 papers), Diabetes and associated disorders (5 papers), Gut microbiota and health (5 papers), Muscle Physiology and Disorders (5 papers) and MicroRNA in disease regulation (4 papers). The work is most often cited by research in Aging (184 citations), Cancer Research (801 citations), Physiology (1.3k citations), Molecular Biology (2.4k citations) and Endocrinology, Diabetes and Metabolism (404 citations). Jonathan M. Dreyfuss has collaborated with scholars based in United States, Germany and Brazil. Frequent co-authors include C. Ronald Kahn, Masaji Sakaguchi, Jonathon N. Winnay, Hui Pan, Masahiro Konishi, Marcelo A. Mori, Steven Grinspoon, Phillip Görden, Christian Wolfrum and Rubén García-Martín. Their work appears in journals such as Journal of Clinical Investigation, Diabetes, Cell Metabolism, Cell Reports and Molecular Metabolism.
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.