Peter M. Burch
Impact in
-
- Muscle Physiology and Disorders
- Protein Tyrosine Phosphatases
- Redox biology and oxidative stress
-
- Muscle metabolism and nutrition
Papers in
-
- Muscle Physiology and Disorders 6
- Redox biology and oxidative stress 3
- Protein Tyrosine Phosphatases 2
-
- Adipose Tissue and Metabolism 2
- Co-authors
- Nicholas H. Heintz (4 shared papers)Ziqiang Yuan (2 shared papers)Carl Morris (3 shared papers)A. H. Loonen (1 shared paper)Anton M. Bennett (2 shared papers)Richard A. Goldstein (3 shared papers)J. David Lambeth (1 shared paper)Priya Ranjan (1 shared paper)
- Journals
- Toxicological Sciences (2 papers)Antioxidants and Redox Signaling (2 papers)Blood (1 paper)Skeletal Muscle (1 paper)Bioorganic & Medicinal Chemistry (1 paper)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Peter M. Burch
15 papers receiving 686 citations
Peers
Comparison fields: 5 of 94
- Molecular Biology 493
- Cell Biology 109
- Immunology 137
- Physiology 128
- Genetics 37
Countries citing papers authored by Peter M. Burch
This map shows the geographic impact of Peter M. Burch'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 Peter M. Burch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter M. Burch more than expected).
Fields of papers citing papers by Peter M. Burch
This network shows the impact of papers produced by Peter M. Burch. 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 Peter M. Burch. The network helps show where Peter M. Burch may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter M. Burch, 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 | 2006 | 86 | |
| 2 | 2005 | 85 | |
| 3 | 2017 | 78 | |
| 4 | 2015 | 74 | |
| 5 | 2004 | 73 | |
| 6 | 2006 | 68 | |
| 7 | 2017 | 48 | |
| 8 | 2006 | 44 | |
| 9 | 2019 | 40 | |
| 10 | 2015 | 35 | |
| 11 | 2016 | 23 | |
| 12 | 2001 | 22 | |
| 13 | 2003 | 14 | |
| 14 | 1997 | 13 | |
| 15 | 2019 | 1 |
About Peter M. Burch
Peter M. Burch is a scholar working on Molecular Biology, Physiology, Immunology, Cardiology and Cardiovascular Medicine and Cell Biology, having authored 15 papers that have together received 704 indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (6 papers), Redox biology and oxidative stress (3 papers), Protein Tyrosine Phosphatases (2 papers), Galectins and Cancer Biology (2 papers), Cardiomyopathy and Myosin Studies (2 papers), Adipose Tissue and Metabolism (2 papers), Biotin and Related Studies (2 papers) and Cancer-related Molecular Pathways (2 papers). The work is most often cited by research in Molecular Biology (493 citations), Cell Biology (109 citations), Immunology (137 citations), Physiology (128 citations) and Genetics (37 citations). Peter M. Burch has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Nicholas H. Heintz, Ziqiang Yuan, Carl Morris, A. H. Loonen, Anton M. Bennett, Richard A. Goldstein, J. David Lambeth, Priya Ranjan, Vikas Anathy and Donald Bennett. Their work appears in journals such as Toxicological Sciences, Antioxidants and Redox Signaling, Blood, Skeletal Muscle and Bioorganic & Medicinal Chemistry.
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.