C. Fred Kemp
Impact in
- Behavioral Neuroscience top 5%
- Stress Responses and Cortisol
Papers in
-
- Adrenal Hormones and Disorders 4
- Growth Hormone and Insulin-like Growth Factors 2
- Hormonal Regulation and Hypertension 1
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- Muscle Physiology and Disorders 3
- TGF-β signaling in diseases 2
- Developmental Biology and Gene Regulation 1
- Glycosylation and Glycoproteins Research 1
- Co-authors
- P. G. Knight (1 shared paper)Claire Glister (1 shared paper)Ketan Patel (3 shared papers)Helge Amthor (2 shared papers)Mridula Sharma (2 shared papers)Ravi Kambadur (2 shared papers)G. Nicholas (2 shared papers)Iain W. McKinnell (1 shared paper)
- Journals
- The Journal of Clinical Endocrinology & Metabolism (2 papers)Developmental Biology (2 papers)Journal of Virology (1 paper)Peptides (1 paper)Reproduction (1 paper)
- Partner nations
- United KingdomNew ZealandGermany
In The Last Decade
C. Fred Kemp
11 papers receiving 976 citations
Peers
Comparison fields: 5 of 79
- Behavioral Neuroscience 73
- Biological Psychiatry 22
- Molecular Biology 651
- Animal Science and Zoology 73
- Public Health, Environmental and Occupational Health 180
Countries citing papers authored by C. Fred Kemp
This map shows the geographic impact of C. Fred Kemp'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 C. Fred Kemp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C. Fred Kemp more than expected).
Fields of papers citing papers by C. Fred Kemp
This network shows the impact of papers produced by C. Fred Kemp. 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 C. Fred Kemp. The network helps show where C. Fred Kemp may publish in the future.
Co-authors
The 25 scholars most cited alongside C. Fred Kemp, 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 | 2004 | 338 | |
| 2 | 2004 | 242 | |
| 3 | 2002 | 111 | |
| 4 | 2004 | 103 | |
| 5 | 2002 | 87 | |
| 6 | 1998 | 60 | |
| 7 | 2006 | 24 | |
| 8 | 1999 | 16 | |
| 9 | 1997 | 6 | |
| 10 | 2017 | 4 | |
| 11 | 2000 | 3 |
About C. Fred Kemp
C. Fred Kemp is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Behavioral Neuroscience, Surgery and Genetics, having authored 11 papers that have together received 994 indexed citations. Recurring topics across this work include Adrenal Hormones and Disorders (4 papers), Stress Responses and Cortisol (4 papers), Muscle Physiology and Disorders (3 papers), TGF-β signaling in diseases (2 papers), Growth Hormone and Insulin-like Growth Factors (2 papers), Hormonal Regulation and Hypertension (1 paper), Developmental Biology and Gene Regulation (1 paper) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Behavioral Neuroscience (73 citations), Biological Psychiatry (22 citations), Molecular Biology (651 citations), Animal Science and Zoology (73 citations) and Public Health, Environmental and Occupational Health (180 citations). C. Fred Kemp has collaborated with scholars based in United Kingdom, New Zealand and Germany. Frequent co-authors include P. G. Knight, Claire Glister, Ketan Patel, Helge Amthor, Mridula Sharma, Ravi Kambadur, G. Nicholas, Iain W. McKinnell, R. J. Woods and P. J. Lowry. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Developmental Biology, Journal of Virology, Peptides and Reproduction.
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.