Paul Cohen
- Physiology top 0.1%
- Adipose Tissue and Metabolism 54
- Endocrine and Autonomic Systems top 0.2%
- Regulation of Appetite and Obesity 16
- Biochemistry top 0.1%
- Rehabilitation top 0.2%
- Exercise and Physiological Responses 7
- Epidemiology top 0.2%
- Adipokines, Inflammation, and Metabolic Diseases 27
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- Cardiovascular Disease and Adiposity 11
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- Biochemical Analysis and Sensing Techniques 8
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- Peroxisome Proliferator-Activated Receptors 6
- Metabolism, Diabetes, and Cancer 6
- Co-authors
- Bruce M. SpiegelmanJeffrey M. FriedmanShingo KajimuraMelin J. KhandekarJames M. NtambiMakoto MiyazakiJun WuLawrence Kazak
- Partner nations
- United StatesPolandGermany
In The Last Decade
Paul Cohen
79 papers receiving 12.5k citations
Hit Papers
Peers
Comparison fields: 5 of 142
- Physiology 7.2k
- Endocrine and Autonomic Systems 1.9k
- Biochemistry 1.3k
- Rehabilitation 963
- Epidemiology 4.4k
Countries citing papers authored by Paul Cohen
This map shows the geographic impact of Paul Cohen'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 Paul Cohen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul Cohen more than expected).
Fields of papers citing papers by Paul Cohen
This network shows the impact of papers produced by Paul Cohen. 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 Paul Cohen. The network helps show where Paul Cohen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Paul Cohen, 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 | 2024 | 9 | |
| 3 | 2023 | 19 | |
| 4 | 2023 | 21 | |
| 5 | 2022 | 0 | |
| 6 | 2021 | 66 | |
| 7 | Brown adipose tissue is associated with cardiometabolic healthbreakdown → | 2021 | 432 |
| 8 | 2021 | 12 | |
| 9 | The cellular and functional complexity of thermogenic fatbreakdown → | 2021 | 321 |
| 10 | 2020 | 29 | |
| 11 | 2019 | 109 | |
| 12 | 2019 | 57 | |
| 13 | 2018 | 189 | |
| 14 | 2017 | 51 | |
| 15 | Short term complications from transurethral resection of bladder tumor. | 2016 | 43 |
| 16 | 2016 | 154 | |
| 17 | Prdm16 determines the thermogenic program of subcutaneous white adipose tissue in micebreakdown → | 2010 | 1018 |
| 18 | 2004 | 150 | |
| 19 | 2003 | 82 | |
| 20 | Influence of vitamin D3on the sexual functions of cattle. Preliminary report. | 1960 | 0 |
About Paul Cohen
Paul Cohen is a scholar working on Endocrine and Autonomic Systems, Physiology and Rehabilitation, having authored 83 papers that have together received 12.7k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (54 papers), Adipokines, Inflammation, and Metabolic Diseases (27 papers), Regulation of Appetite and Obesity (16 papers), Cardiovascular Disease and Adiposity (11 papers), Biochemical Analysis and Sensing Techniques (8 papers), Exercise and Physiological Responses (7 papers), Peroxisome Proliferator-Activated Receptors (6 papers) and Metabolism, Diabetes, and Cancer (6 papers). The work is most often cited by research in Physiology (7.2k citations), Endocrine and Autonomic Systems (1.9k citations) and Biochemistry (1.3k citations). Paul Cohen has collaborated with scholars based in United States, Poland and Germany. Frequent co-authors include Bruce M. Spiegelman, Jeffrey M. Friedman, Shingo Kajimura, Melin J. Khandekar, James M. Ntambi, Makoto Miyazaki, Jun Wu, Lawrence Kazak, Alexander A. Soukas and Nicholas D. Socci. Their work appears in journals such as Nature, Science and Cell.
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.