Anthony Scimè
Impact in
- Physiology top 1%
- Adipose Tissue and Metabolism
- Rehabilitation top 1%
- Exercise and Physiological Responses
Papers in
-
- Muscle Physiology and Disorders 13
- Mitochondrial Function and Pathology 3
-
- Adipose Tissue and Metabolism 8
- Co-authors
- Michael A. Rudnicki (11 shared papers)Patrick Seale (3 shared papers)Shihuan Kuang (2 shared papers)Bryan C. Bjork (1 shared paper)Paul Tempst (1 shared paper)Sherry Chin (1 shared paper)Srikripa Devarakonda (1 shared paper)Shingo Kajimura (1 shared paper)
- Journals
- The Journal of Cell Biology (4 papers)Stem Cells (3 papers)Frontiers in Cell and Developmental Biology (2 papers)Journal of Cellular Physiology (2 papers)Frontiers in Endocrinology (2 papers)
- Partner nations
- CanadaUnited StatesNetherlands
In The Last Decade
Anthony Scimè
28 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Physiology 1.9k
- Rehabilitation 350
- Aging 87
- Biochemistry 266
- Epidemiology 973
Countries citing papers authored by Anthony Scimè
This map shows the geographic impact of Anthony Scimè'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 Anthony Scimè with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anthony Scimè more than expected).
Fields of papers citing papers by Anthony Scimè
This network shows the impact of papers produced by Anthony Scimè. 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 Anthony Scimè. The network helps show where Anthony Scimè may publish in the future.
Co-authors
The 25 scholars most cited alongside Anthony Scimè, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | PRDM16 controls a brown fat/skeletal muscle switch Hit paper breakdown → | 2008 | 1835 |
| 2 | 2009 | 391 | |
| 3 | 2005 | 177 | |
| 4 | 2004 | 140 | |
| 5 | 2004 | 121 | |
| 6 | 2005 | 99 | |
| 7 | 2009 | 85 | |
| 8 | 2007 | 63 | |
| 9 | 2020 | 59 | |
| 10 | 2005 | 36 | |
| 11 | 2014 | 36 | |
| 12 | 2019 | 34 | |
| 13 | 2009 | 31 | |
| 14 | 2014 | 27 | |
| 15 | 2009 | 21 | |
| 16 | 2004 | 20 | |
| 17 | 2007 | 18 | |
| 18 | 2006 | 17 | |
| 19 | 2010 | 16 | |
| 20 | 2021 | 12 |
About Anthony Scimè
Anthony Scimè is a scholar working on Molecular Biology, Physiology, Oncology, Epidemiology and Surgery, having authored 28 papers that have together received 3.3k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (13 papers), Adipose Tissue and Metabolism (8 papers), Cancer, Hypoxia, and Metabolism (4 papers), Adipokines, Inflammation, and Metabolic Diseases (4 papers), Tissue Engineering and Regenerative Medicine (3 papers), Virus-based gene therapy research (3 papers), Cancer-related Molecular Pathways (3 papers) and Mitochondrial Function and Pathology (3 papers). The work is most often cited by research in Physiology (1.9k citations), Rehabilitation (350 citations), Aging (87 citations), Biochemistry (266 citations) and Epidemiology (973 citations). Anthony Scimè has collaborated with scholars based in Canada, United States and Netherlands. Frequent co-authors include Michael A. Rudnicki, Patrick Seale, Shihuan Kuang, Bryan C. Bjork, Paul Tempst, Sherry Chin, Srikripa Devarakonda, Shingo Kajimura, Wenli Yang and David R. Beier. Their work appears in journals such as The Journal of Cell Biology, Stem Cells, Frontiers in Cell and Developmental Biology, Journal of Cellular Physiology and Frontiers in Endocrinology.
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.