Philipp E. Scherer
- Physiology top 0.01%
- Adipose Tissue and Metabolism 196
- Endocrine and Autonomic Systems top 0.01%
- Regulation of Appetite and Obesity 65
- Epidemiology top 0.01%
- Adipokines, Inflammation, and Metabolic Diseases 212
- Cell Biology top 0.01%
- Caveolin-1 and cellular processes 55
- Cardiology and Cardiovascular Medicine top 0.05%
- Cardiovascular Disease and Adiposity 44
- Lipid metabolism and disorders 34
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- Metabolism, Diabetes, and Cancer 55
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- Pancreatic function and diabetes 33
- Co-authors
- Anders H. BergMichael P. LisantiTerry P. CombsChristine M. KusminskiHarvey F. LodishMichael W. RajalaMaría Elena Trujillo OrtegaKai Sun
- Journals
- Journal of Biological Chemistry (37 papers)Diabetes (34 papers)Molecular Metabolism (19 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Philipp E. Scherer
493 papers receiving 73.0k citations
Hit Papers
Peers
Comparison fields: 5 of 185
- Physiology 31.5k
- Endocrine and Autonomic Systems 8.2k
- Epidemiology 32.5k
- Cell Biology 12.8k
- Cardiology and Cardiovascular Medicine 11.8k
Countries citing papers authored by Philipp E. Scherer
This map shows the geographic impact of Philipp E. Scherer'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 Philipp E. Scherer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philipp E. Scherer more than expected).
Fields of papers citing papers by Philipp E. Scherer
This network shows the impact of papers produced by Philipp E. Scherer. 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 Philipp E. Scherer. The network helps show where Philipp E. Scherer may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Philipp E. Scherer, 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 | 0 | |
| 2 | Transforming obesity: The advancement of multi-receptor drugsbreakdown → | 2024 | 54 |
| 3 | 2024 | 21 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 20 | |
| 7 | 2023 | 2 | |
| 8 | 2021 | 19 | |
| 9 | 2021 | 9 | |
| 10 | 2020 | 9 | |
| 11 | 2019 | 14 | |
| 12 | 2019 | 142 | |
| 13 | 2017 | 51 | |
| 14 | 2012 | 118 | |
| 15 | Lipid-induced insulin resistance mediated by the proinflammatory receptor TLR4 requires saturated fatty acid–induced ceramide biosynthesis in micebreakdown → | 2011 | 558 |
| 16 | 2011 | 24 | |
| 17 | 2009 | 122 | |
| 18 | 2004 | 280 | |
| 19 | 2004 | 273 | |
| 20 | 2003 | 30 |
About Philipp E. Scherer
Philipp E. Scherer is a scholar working on Endocrine and Autonomic Systems, Physiology and Epidemiology, having authored 503 papers that have together received 74.4k indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (212 papers), Adipose Tissue and Metabolism (196 papers), Regulation of Appetite and Obesity (65 papers), Caveolin-1 and cellular processes (55 papers), Metabolism, Diabetes, and Cancer (55 papers), Cardiovascular Disease and Adiposity (44 papers), Lipid metabolism and disorders (34 papers) and Pancreatic function and diabetes (33 papers). The work is most often cited by research in Physiology (31.5k citations), Endocrine and Autonomic Systems (8.2k citations) and Epidemiology (32.5k citations). Philipp E. Scherer has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Anders H. Berg, Michael P. Lisanti, Terry P. Combs, Christine M. Kusminski, Harvey F. Lodish, Michael W. Rajala, María Elena Trujillo Ortega, Kai Sun, Zhao V. Wang and Takashi Okamoto. Their work appears in journals such as Journal of Biological Chemistry, Diabetes, Molecular Metabolism, Journal of Clinical Investigation and Cell 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.