David Karr
Impact in
- Molecular Biology top 5%
- TGF-β signaling in diseases
- Kruppel-like factors research
- Bone Metabolism and Diseases
- Metabolism, Diabetes, and Cancer
- RNA Research and Splicing
- Reproductive Medicine top 5%
Papers in
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- Growth Hormone and Insulin-like Growth Factors 3
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- Receptor Mechanisms and Signaling 1
- Co-authors
- Wylie Vale (3 shared papers)Joan Vaughan (4 shared papers)Richard McClintock (3 shared papers)Anne Corrigan (3 shared papers)Joachim Spiess (3 shared papers)Jean Rivier (1 shared paper)Karen Yamamoto (1 shared paper)William Biggs (1 shared paper)
- Journals
- Nature (3 papers)Obstetrical & Gynecological Survey (2 papers)Journal of Biological Chemistry (1 paper)
- Partner nations
- United States
In The Last Decade
David Karr
6 papers receiving 2.1k citations
David Karr's Hit Papers
Peers
Comparison fields: 5 of 98
- Molecular Biology 1.6k
- Reproductive Medicine 182
- Endocrinology, Diabetes and Metabolism 314
- Cellular and Molecular Neuroscience 246
- Genetics 358
Countries citing papers authored by David Karr
This map shows the geographic impact of David Karr'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 David Karr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Karr more than expected).
Fields of papers citing papers by David Karr
This network shows the impact of papers produced by David Karr. 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 David Karr. The network helps show where David Karr may publish in the future.
Co-authors
The 23 scholars most cited alongside David Karr, 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 | Purification and characterization of an FSH releasing protein from porcine ovarian follicular fluid Hit paper breakdown → | 1986 | 990 |
| 2 | A cluster of phosphorylation sites on the cyclic AMP-regulated nuclear factor CREB predicted by its sequence Hit paper breakdown → | 1989 | 803 |
| 3 | 1990 | 260 | |
| 4 | 1992 | 62 | |
| 5 | 1987 | 59 | |
| 6 | 1987 | 14 |
About David Karr
David Karr is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine and Agronomy and Crop Science, having authored 6 papers that have together received 2.2k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (3 papers), Nerve injury and regeneration (1 paper), Cardiomyopathy and Myosin Studies (1 paper), Galectins and Cancer Biology (1 paper), Neuroscience and Neuropharmacology Research (1 paper), Receptor Mechanisms and Signaling (1 paper), Hypothalamic control of reproductive hormones (1 paper) and Reproductive Physiology in Livestock (1 paper). The work is most often cited by research in Molecular Biology (1.6k citations), Reproductive Medicine (182 citations), Endocrinology, Diabetes and Metabolism (314 citations), Cellular and Molecular Neuroscience (246 citations) and Genetics (358 citations). David Karr has collaborated with scholars based in United States. Frequent co-authors include Wylie Vale, Joan Vaughan, Richard McClintock, Anne Corrigan, Joachim Spiess, Jean Rivier, Karen Yamamoto, William Biggs, Marc Montminy and Patricia Menzel. Their work appears in journals such as Nature, Obstetrical & Gynecological Survey 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.