Suzanne E. Clark
Impact in
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- Hormonal Regulation and Hypertension
- Diet, Metabolism, and Disease
- Physiology top 10%
- Adipose Tissue and Metabolism
Papers in ⓘ
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- Adipokines, Inflammation, and Metabolic Diseases 4
- Liver Disease Diagnosis and Treatment 2
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- Enzyme Production and Characterization 5
- Co-authors
- James R. Sowers (6 shared papers)Yongzhong Wei (5 shared papers)Craig S. Stump (4 shared papers)Carlos M. Ferrario (4 shared papers)Grace M.E. Uptergrove (4 shared papers)Cynthia A. Henson (5 shared papers)E. Matthew Morris (2 shared papers)Wenhan Li (2 shared papers)
- Journals
- Protein Engineering Design and Selection (2 papers)American Journal of Physiology-Endocrinology and Metabolism (1 paper)Journal of Hepatology (1 paper)American Journal Of Pathology (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- United States
In The Last Decade
Suzanne E. Clark
11 papers receiving 842 citations
Peers
Comparison fields: 5 of 77
- Endocrinology, Diabetes and Metabolism 215
- Physiology 256
- Biotechnology 84
- Cardiology and Cardiovascular Medicine 212
- Nutrition and Dietetics 105
Countries citing papers authored by Suzanne E. Clark
This map shows the geographic impact of Suzanne E. 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 Suzanne E. Clark with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suzanne E. Clark more than expected).
Fields of papers citing papers by Suzanne E. Clark
This network shows the impact of papers produced by Suzanne E. 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 Suzanne E. Clark. The network helps show where Suzanne E. Clark may publish in the future.
Co-authors
The 17 scholars most cited alongside Suzanne E. 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
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 248 | |
| 2 | 2007 | 163 | |
| 3 | 2008 | 107 | |
| 4 | 2007 | 92 | |
| 5 | 2009 | 57 | |
| 6 | 2002 | 41 | |
| 7 | 2003 | 41 | |
| 8 | 2004 | 40 | |
| 9 | 2005 | 27 | |
| 10 | 2000 | 20 | |
| 11 | 2005 | 16 |
About Suzanne E. Clark
Suzanne E. Clark is a scholar working on Epidemiology, Biotechnology, Molecular Biology, Physiology and Plant Science, having authored 11 papers that have together received 852 indexed citations. Recurring topics across this work include Enzyme Production and Characterization (5 papers), Adipokines, Inflammation, and Metabolic Diseases (4 papers), Biofuel production and bioconversion (3 papers), Phytase and its Applications (3 papers), Adipose Tissue and Metabolism (3 papers), Liver Disease Diagnosis and Treatment (2 papers), Liver Disease and Transplantation (2 papers) and Microbial Metabolites in Food Biotechnology (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (215 citations), Physiology (256 citations), Biotechnology (84 citations), Cardiology and Cardiovascular Medicine (212 citations) and Nutrition and Dietetics (105 citations). Suzanne E. Clark has collaborated with scholars based in United States. Frequent co-authors include James R. Sowers, Yongzhong Wei, Craig S. Stump, Carlos M. Ferrario, Grace M.E. Uptergrove, Cynthia A. Henson, E. Matthew Morris, Wenhan Li, Adam Whaley‐Connell and Ravi Nistala. Their work appears in journals such as Protein Engineering Design and Selection, American Journal of Physiology-Endocrinology and Metabolism, Journal of Hepatology, American Journal Of Pathology and Journal of Biological 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.