Frank L. Engel
- Physiology top 5%
- Molecular Biology
- Endocrinology, Diabetes and Metabolism top 5%
- Ecology top 5%
- Cellular and Molecular Neuroscience top 10%
- Co-authors
- Jennifer WhiteBruce L. RhoadsJohn V. VernerHarry T. McPhersonLawrence KahanaNoble J. DavidHarold E. LebovitzH. G. Khorana
- Topics
- Diet and metabolism studies (35 papers)Adipose Tissue and Metabolism (29 papers)Growth Hormone and Insulin-like Growth Factors (11 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Clinical Investigation
- Partner nations
- United StatesFranceUnited Kingdom
In The Last Decade
Frank L. Engel
98 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 141
- Physiology 578
- Molecular Biology 477
- Endocrinology, Diabetes and Metabolism 404
- Ecology 378
- Cellular and Molecular Neuroscience 254
Countries citing papers authored by Frank L. Engel
This map shows the geographic impact of Frank L. Engel'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 Frank L. Engel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frank L. Engel more than expected).
Fields of papers citing papers by Frank L. Engel
This network shows the impact of papers produced by Frank L. Engel. 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 Frank L. Engel. The network helps show where Frank L. Engel may publish in the future.
Co-authorship network of co-authors of Frank L. Engel
This figure shows the co-authorship network connecting the top 25 collaborators of Frank L. Engel. A scholar is included among the top collaborators of Frank L. Engel based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Frank L. Engel. Frank L. Engel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 7 | |
| 3 | 1 | |
| 4 | 8 | |
| 5 | 1 | |
| 6 | 83 | |
| 7 | 78 | |
| 8 | 19 | |
| 9 | 217 | |
| 10 | 18 | |
| 11 | 42 | |
| 12 | 1 | |
| 13 | Some unexplained metabolic actions of pituitary hormones with a unifying hypothesis concerning their significance. | 15 |
| 14 | 5 | |
| 15 | 17 | |
| 16 | 11 | |
| 17 | 5 | |
| 18 | 16 | |
| 19 | The endocrine control of metabolism. | 9 |
| 20 | 9 |
About Frank L. Engel
Frank L. Engel is a scholar working on Behavioral Neuroscience, Physiology and Endocrinology, Diabetes and Metabolism, having authored 107 papers that have together received 2.3k indexed citations. Recurring topics across this work include Diet and metabolism studies (35 papers), Adipose Tissue and Metabolism (29 papers) and Growth Hormone and Insulin-like Growth Factors (11 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (404 citations), Nephrology (170 citations) and Physiology (578 citations). Frank L. Engel has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Jennifer White, Bruce L. Rhoads, John V. Verner, Harry T. McPherson, Lawrence Kahana, Noble J. David, Harold E. Lebovitz, H. G. Khorana, Maarten P. Heyn and Toshio Mogi. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.