Cam Patterson
- Aging top 0.1%
- Cell Biology top 0.05%
- Endoplasmic Reticulum Stress and Disease 32
- Molecular Biology top 0.1%
- Ubiquitin and proteasome pathways 49
- Angiogenesis and VEGF in Cancer 47
- Heat shock proteins research 43
- Mitochondrial Function and Pathology 29
- Congenital heart defects research 24
- Signaling Pathways in Disease 20
- Physiology top 0.2%
- Cancer Research top 0.5%
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- Cell Adhesion Molecules Research 19
- Co-authors
- Douglas CyrMonte S. WillisHolly McDonoughYaxu WuMarschall S. RungeJörg HöhfeldCarol A. BallingerLarry J. Thompson
- Cited by
- AgingCell BiologyMolecular Biology
- Journals
- Journal of Biological Chemistry (36 papers)Circulation Research (16 papers)Arteriosclerosis Thrombosis and Vascular Biology (15 papers)
- Partner nations
- United StatesGermanyChina
In The Last Decade
Cam Patterson
310 papers receiving 25.5k citations
Hit Papers
Peers
Comparison fields: 5 of 196
- Aging 908
- Cell Biology 4.7k
- Molecular Biology 17.5k
- Physiology 4.8k
- Cancer Research 2.4k
Countries citing papers authored by Cam Patterson
This map shows the geographic impact of Cam Patterson'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 Cam Patterson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cam Patterson more than expected).
Fields of papers citing papers by Cam Patterson
This network shows the impact of papers produced by Cam Patterson. 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 Cam Patterson. The network helps show where Cam Patterson may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Cam Patterson, 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 | 2024 | 4 | |
| 2 | 2018 | 13 | |
| 3 | 2018 | 13 | |
| 4 | 2017 | 39 | |
| 5 | 2016 | 3 | |
| 6 | 2016 | 14 | |
| 7 | 2013 | 43 | |
| 8 | 2012 | 36 | |
| 9 | 2009 | 94 | |
| 10 | 2009 | 105 | |
| 11 | 2009 | 25 | |
| 12 | 2008 | 174 | |
| 13 | 2008 | 123 | |
| 14 | 2007 | 25 | |
| 15 | 2005 | 12 | |
| 16 | 2005 | 113 | |
| 17 | 2004 | 309 | |
| 18 | 2001 | 108 | |
| 19 | 1996 | 143 | |
| 20 | 1972 | 6 |
About Cam Patterson
Cam Patterson is a scholar working on Aging, Molecular Biology and Cell Biology, having authored 330 papers that have together received 26.0k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (49 papers), Angiogenesis and VEGF in Cancer (47 papers), Heat shock proteins research (43 papers), Endoplasmic Reticulum Stress and Disease (32 papers), Mitochondrial Function and Pathology (29 papers), Congenital heart defects research (24 papers), Signaling Pathways in Disease (20 papers) and Cell Adhesion Molecules Research (19 papers). The work is most often cited by research in Aging (908 citations), Cell Biology (4.7k citations) and Molecular Biology (17.5k citations). Cam Patterson has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Douglas Cyr, Monte S. Willis, Holly McDonough, Yaxu Wu, Marschall S. Runge, Jörg Höhfeld, Carol A. Ballinger, Larry J. Thompson, Calvin B. Harley and A. B. Futcher. Their work appears in journals such as Journal of Biological Chemistry, Circulation Research, Arteriosclerosis Thrombosis and Vascular Biology, Journal of Clinical Investigation and The FASEB Journal.
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.