Leo T. Samuels
- Endocrinology, Diabetes and Metabolism top 0.5%
- Molecular Biology top 10%
- Genetics top 5%
- Behavioral Neuroscience top 1%
- Physiology top 5%
- Co-authors
- Don H. NelsonFrank H. TylerKristen B. Eik‐NesAvery A. SandbergClaude J. MigeonRobert A. HusebyEugene L. BlissO. Dominguez
- Topics
- Hormonal and reproductive studies (36 papers)Hormonal Regulation and Hypertension (23 papers)Adrenal Hormones and Disorders (19 papers)
- Partner nations
- United StatesJapanUnited Kingdom
In The Last Decade
Leo T. Samuels
89 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 128
- Endocrinology, Diabetes and Metabolism 1.9k
- Molecular Biology 872
- Genetics 469
- Behavioral Neuroscience 451
- Physiology 424
Countries citing papers authored by Leo T. Samuels
This map shows the geographic impact of Leo T. Samuels'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 Leo T. Samuels with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leo T. Samuels more than expected).
Fields of papers citing papers by Leo T. Samuels
This network shows the impact of papers produced by Leo T. Samuels. 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 Leo T. Samuels. The network helps show where Leo T. Samuels may publish in the future.
Co-authorship network of co-authors of Leo T. Samuels
This figure shows the co-authorship network connecting the top 25 collaborators of Leo T. Samuels. A scholar is included among the top collaborators of Leo T. Samuels 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 Leo T. Samuels. Leo T. Samuels is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | DNA synthesis and DNA polymerase activity in Leydig cells of diethylstilbestrol-stimulated mouse testes. | 10 |
| 2 | Characterization of estrogen receptors in various mouse Leydig cell tumor lines. | 22 |
| 3 | 23 | |
| 4 | 24 | |
| 5 | 9 | |
| 6 | 27 | |
| 7 | 20 | |
| 8 | 54 | |
| 9 | 32 | |
| 10 | 31 | |
| 11 | 150 | |
| 12 | 15 | |
| 13 | 21 | |
| 14 | 97 | |
| 15 | 2 | |
| 16 | 51 | |
| 17 | 1 | |
| 18 | 6 | |
| 19 | Metabolic effects of specific amino acid deficiencies. | 3 |
| 20 | 38 |
About Leo T. Samuels
Leo T. Samuels is a scholar working on Endocrinology, Diabetes and Metabolism, Behavioral Neuroscience and Reproductive Medicine, having authored 93 papers that have together received 3.7k indexed citations. Recurring topics across this work include Hormonal and reproductive studies (36 papers), Hormonal Regulation and Hypertension (23 papers) and Adrenal Hormones and Disorders (19 papers). The work is most often cited by research in Behavioral Neuroscience (451 citations), Endocrinology, Diabetes and Metabolism (1.9k citations) and Reproductive Medicine (419 citations). Leo T. Samuels has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include Don H. Nelson, Frank H. Tyler, Kristen B. Eik‐Nes, Avery A. Sandberg, Claude J. Migeon, Robert A. Huseby, Eugene L. Bliss, O. Dominguez, Rufus Lumry and John A. Schellman. Their work appears in journals such as Science, Journal of the American Chemical Society 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.