Clair Crewe
Impact in
- Physiology top 5%
- Adipose Tissue and Metabolism
- Cancer Research top 5%
- MicroRNA in disease regulation
Papers in
-
- Extracellular vesicles in disease 10
- Mitochondrial Function and Pathology 5
- Physiology 12
- Adipose Tissue and Metabolism 11
- Co-authors
- Philipp E. Scherer (16 shared papers)Yu An (4 shared papers)Ruth Gordillo (10 shared papers)Nolwenn Joffin (7 shared papers)Fang Zhang (2 shared papers)Joseph M. Rutkowski (2 shared papers)Min Kim (1 shared paper)Dwight A. Towler (1 shared paper)
- Journals
- Nature Metabolism (3 papers)Cell Metabolism (3 papers)JCI Insight (2 papers)Diabetes (2 papers)Molecular Metabolism (2 papers)
- Partner nations
- United StatesSwedenChina
In The Last Decade
Clair Crewe
28 papers receiving 1.8k citations
Clair Crewe's Hit Papers
Peers
Comparison fields: 5 of 84
- Physiology 620
- Cancer Research 316
- Cardiology and Cardiovascular Medicine 348
- Epidemiology 528
- Molecular Biology 823
Countries citing papers authored by Clair Crewe
This map shows the geographic impact of Clair Crewe'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 Clair Crewe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Clair Crewe more than expected).
Fields of papers citing papers by Clair Crewe
This network shows the impact of papers produced by Clair Crewe. 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 Clair Crewe. The network helps show where Clair Crewe may publish in the future.
Co-authors
The 25 scholars most cited alongside Clair Crewe, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The ominous triad of adipose tissue dysfunction: inflammation, fibrosis, and impaired angiogenesis Hit paper breakdown → | 2017 | 528 |
| 2 | 2018 | 321 | |
| 3 | Extracellular vesicle-based interorgan transport of mitochondria from energetically stressed adipocytes Hit paper breakdown → | 2021 | 305 |
| 4 | 2022 | 60 | |
| 5 | 2019 | 57 | |
| 6 | 2019 | 55 | |
| 7 | 2016 | 52 | |
| 8 | 2021 | 48 | |
| 9 | 2021 | 44 | |
| 10 | 2019 | 43 | |
| 11 | 2013 | 43 | |
| 12 | 2013 | 42 | |
| 13 | 2019 | 40 | |
| 14 | 2016 | 30 | |
| 15 | 2021 | 29 | |
| 16 | 2024 | 23 | |
| 17 | 2023 | 20 | |
| 18 | 2022 | 14 | |
| 19 | 2025 | 14 | |
| 20 | 2023 | 13 |
About Clair Crewe
Clair Crewe is a scholar working on Molecular Biology, Physiology, Epidemiology, Cancer Research and Cardiology and Cardiovascular Medicine, having authored 30 papers that have together received 1.8k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (11 papers), Extracellular vesicles in disease (10 papers), Adipokines, Inflammation, and Metabolic Diseases (6 papers), MicroRNA in disease regulation (6 papers), Mitochondrial Function and Pathology (5 papers), Cardiovascular Disease and Adiposity (4 papers), Autophagy in Disease and Therapy (3 papers) and Biochemical Acid Research Studies (2 papers). The work is most often cited by research in Physiology (620 citations), Cancer Research (316 citations), Cardiology and Cardiovascular Medicine (348 citations), Epidemiology (528 citations) and Molecular Biology (823 citations). Clair Crewe has collaborated with scholars based in United States, Sweden and China. Frequent co-authors include Philipp E. Scherer, Yu An, Ruth Gordillo, Nolwenn Joffin, Fang Zhang, Joseph M. Rutkowski, Min Kim, Dwight A. Towler, Christine M. Kusminski and Luke I. Szweda. Their work appears in journals such as Nature Metabolism, Cell Metabolism, JCI Insight, Diabetes 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.