David Puett
Impact in
- Reproductive Medicine top 0.2%
- Hypothalamic control of reproductive hormones
-
- Growth Hormone and Insulin-like Growth Factors
Papers in
-
- Receptor Mechanisms and Signaling 51
- Protein Structure and Dynamics 22
- Glycosylation and Glycoproteins Research 14
-
- Hypothalamic control of reproductive hormones 52
- Co-authors
- Mario Ascoli (16 shared papers)Leslie A. Holladay (19 shared papers)Prema Narayan (24 shared papers)Adviye Ergul (12 shared papers)A. Ciferri (12 shared papers)Krassimira Angelova (18 shared papers)Francesca Fanelli (9 shared papers)Neil A. Bhowmick (5 shared papers)
- Journals
- Journal of Biological Chemistry (31 papers)Endocrinology (22 papers)Biochemistry (17 papers)Molecular and Cellular Endocrinology (15 papers)Molecular Endocrinology (14 papers)
- Partner nations
- United StatesItalyChina
In The Last Decade
David Puett
253 papers receiving 6.1k citations
Peers
Comparison fields: 5 of 150
- Reproductive Medicine 1.5k
- Endocrinology, Diabetes and Metabolism 1.1k
- Molecular Biology 3.4k
- Cellular and Molecular Neuroscience 679
- Cell Biology 544
Countries citing papers authored by David Puett
This map shows the geographic impact of David Puett'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 Puett with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Puett more than expected).
Fields of papers citing papers by David Puett
This network shows the impact of papers produced by David Puett. 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 Puett. The network helps show where David Puett may publish in the future.
Co-authors
The 25 scholars most cited alongside David Puett, 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 253 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1973 | 184 | |
| 2 | 1996 | 174 | |
| 3 | 2010 | 169 | |
| 4 | 1994 | 152 | |
| 5 | 1978 | 141 | |
| 6 | 1978 | 127 | |
| 7 | 2000 | 125 | |
| 8 | 1996 | 122 | |
| 9 | 1984 | 90 | |
| 10 | 1998 | 84 | |
| 11 | 1974 | 83 | |
| 12 | 1976 | 82 | |
| 13 | 2012 | 80 | |
| 14 | 1994 | 80 | |
| 15 | 1981 | 77 | |
| 16 | 1978 | 76 | |
| 17 | 1968 | 70 | |
| 18 | 1992 | 69 | |
| 19 | 2014 | 64 | |
| 20 | 1976 | 62 |
About David Puett
David Puett is a scholar working on Molecular Biology, Reproductive Medicine, Genetics, Endocrinology, Diabetes and Metabolism and Cellular and Molecular Neuroscience, having authored 253 papers that have together received 6.6k indexed citations. Recurring topics across this work include Hypothalamic control of reproductive hormones (52 papers), Receptor Mechanisms and Signaling (51 papers), Estrogen and related hormone effects (31 papers), Growth Hormone and Insulin-like Growth Factors (25 papers), Protein Structure and Dynamics (22 papers), Neuropeptides and Animal Physiology (19 papers), Nitric Oxide and Endothelin Effects (19 papers) and Glycosylation and Glycoproteins Research (14 papers). The work is most often cited by research in Reproductive Medicine (1.5k citations), Endocrinology, Diabetes and Metabolism (1.1k citations), Molecular Biology (3.4k citations), Cellular and Molecular Neuroscience (679 citations) and Cell Biology (544 citations). David Puett has collaborated with scholars based in United States, Italy and China. Frequent co-authors include Mario Ascoli, Leslie A. Holladay, Prema Narayan, Adviye Ergul, A. Ciferri, Krassimira Angelova, Francesca Fanelli, Neil A. Bhowmick, Robley C. Williams and David Giedroc. Their work appears in journals such as Journal of Biological Chemistry, Endocrinology, Biochemistry, Molecular and Cellular Endocrinology and Molecular Endocrinology.
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.