Peter M. Clark
Impact in
- Cell Biology top 2%
- Proteoglycans and glycosaminoglycans research
- Organic Chemistry top 2%
- Carbohydrate Chemistry and Synthesis
Papers in
-
- Cancer, Hypoxia, and Metabolism 8
- Oncology 10
- Cancer-related Molecular Pathways 3
- Co-authors
- Linda C. Hsieh‐Wilson (9 shared papers)Eric C. Peters (5 shared papers)Daniel E. Mason (4 shared papers)William Goddard (3 shared papers)Jessica E. Rexach (4 shared papers)Sarah E. Tully (2 shared papers)Wen Yi (1 shared paper)Marie C. Keenan (1 shared paper)
- Journals
- Journal of Nuclear Medicine (5 papers)Proceedings of the National Academy of Sciences (4 papers)Nature Chemical Biology (4 papers)Scientific Reports (2 papers)Immunology (2 papers)
- Partner nations
- United StatesJapanAustralia
In The Last Decade
Peter M. Clark
34 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 111
- Cell Biology 521
- Organic Chemistry 855
- Molecular Biology 2.0k
- Cancer Research 374
- Immunology 511
Countries citing papers authored by Peter M. Clark
This map shows the geographic impact of Peter M. Clark'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. Clark 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. Clark more than expected).
Fields of papers citing papers by Peter M. Clark
This network shows the impact of papers produced by Peter M. Clark. 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. Clark. The network helps show where Peter M. Clark may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter M. Clark, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 552 | |
| 2 | 2006 | 494 | |
| 3 | 2007 | 298 | |
| 4 | 2008 | 218 | |
| 5 | 2012 | 174 | |
| 6 | 2013 | 163 | |
| 7 | 2017 | 156 | |
| 8 | 2008 | 115 | |
| 9 | 2011 | 101 | |
| 10 | 2017 | 88 | |
| 11 | 2021 | 45 | |
| 12 | 2015 | 44 | |
| 13 | 2019 | 31 | |
| 14 | 2022 | 30 | |
| 15 | 2019 | 30 | |
| 16 | 2020 | 30 | |
| 17 | 2018 | 28 | |
| 18 | 2014 | 24 | |
| 19 | 2017 | 22 | |
| 20 | 2005 | 20 |
About Peter M. Clark
Peter M. Clark is a scholar working on Cancer Research, Oncology, Molecular Biology, Pathology and Forensic Medicine and Clinical Biochemistry, having authored 35 papers that have together received 2.8k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (9 papers), Cancer, Hypoxia, and Metabolism (8 papers), Carbohydrate Chemistry and Synthesis (5 papers), Metabolism, Diabetes, and Cancer (4 papers), Ubiquitin and proteasome pathways (4 papers), Cancer-related Molecular Pathways (3 papers), Metabolism and Genetic Disorders (3 papers) and Multiple Sclerosis Research Studies (3 papers). The work is most often cited by research in Cell Biology (521 citations), Organic Chemistry (855 citations), Molecular Biology (2.0k citations), Cancer Research (374 citations) and Immunology (511 citations). Peter M. Clark has collaborated with scholars based in United States, Japan and Australia. Frequent co-authors include Linda C. Hsieh‐Wilson, Eric C. Peters, Daniel E. Mason, William Goddard, Jessica E. Rexach, Sarah E. Tully, Wen Yi, Marie C. Keenan, Collin Hill and Edward M. Driggers. Their work appears in journals such as Journal of Nuclear Medicine, Proceedings of the National Academy of Sciences, Nature Chemical Biology, Scientific Reports and Immunology.
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.