Jeffrey C. Sellers
- Molecular Biology
- Reproductive Medicine top 1%
- Genetics top 10%
- Endocrinology, Diabetes and Metabolism top 5%
- Cardiology and Cardiovascular Medicine top 10%
- Co-authors
- Jimmy D. NeillLois C. MusgroveDaniel C. DevorSham S. KakarLennard W. DuckDonald J. BuchsbaumJohn H. KehrlSelwyn M. Vickers
- Topics
- Hypothalamic control of reproductive hormones (8 papers)Pancreatic and Hepatic Oncology Research (5 papers)Cancer Research and Treatments (4 papers)
- Cited by
- Reproductive MedicineEndocrinology, Diabetes and MetabolismCardiology and Cardiovascular Medicine
- Partner nations
- United StatesCanadaCzechia
In The Last Decade
Jeffrey C. Sellers
29 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 89
- Molecular Biology 587
- Reproductive Medicine 511
- Genetics 287
- Endocrinology, Diabetes and Metabolism 285
- Cardiology and Cardiovascular Medicine 250
Countries citing papers authored by Jeffrey C. Sellers
This map shows the geographic impact of Jeffrey C. Sellers'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 Jeffrey C. Sellers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeffrey C. Sellers more than expected).
Fields of papers citing papers by Jeffrey C. Sellers
This network shows the impact of papers produced by Jeffrey C. Sellers. 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 Jeffrey C. Sellers. The network helps show where Jeffrey C. Sellers may publish in the future.
Co-authorship network of co-authors of Jeffrey C. Sellers
This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey C. Sellers. A scholar is included among the top collaborators of Jeffrey C. Sellers 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 Jeffrey C. Sellers. Jeffrey C. Sellers is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 8 | |
| 3 | 27 | |
| 4 | 1 | |
| 5 | 38 | |
| 6 | 39 | |
| 7 | 26 | |
| 8 | 35 | |
| 9 | 1 | |
| 10 | 16 | |
| 11 | 11 | |
| 12 | 175 | |
| 13 | 6 | |
| 14 | 26 | |
| 15 | 87 | |
| 16 | 9 | |
| 17 | 70 | |
| 18 | 300 | |
| 19 | 273 | |
| 20 | 19 |
About Jeffrey C. Sellers
Jeffrey C. Sellers is a scholar working on Reproductive Medicine, Ecological Modeling and Biotechnology, having authored 30 papers that have together received 1.4k indexed citations. Recurring topics across this work include Hypothalamic control of reproductive hormones (8 papers), Pancreatic and Hepatic Oncology Research (5 papers) and Cancer Research and Treatments (4 papers). The work is most often cited by research in Reproductive Medicine (511 citations), Endocrinology, Diabetes and Metabolism (285 citations) and Cardiology and Cardiovascular Medicine (250 citations). Jeffrey C. Sellers has collaborated with scholars based in United States, Canada and Czechia. Frequent co-authors include Jimmy D. Neill, Lois C. Musgrove, Daniel C. Devor, Sham S. Kakar, Lennard W. Duck, Donald J. Buchsbaum, John H. Kehrl, Selwyn M. Vickers, Astrid Scheschonka and Kirk M. Druey. Their work appears in journals such as Cancer Research, Clinical Cancer Research and Biochemical and Biophysical Research Communications.
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.