Kimberly W. Keefe
- Reproductive Medicine top 5%
- Genetics
- Molecular Biology
- Endocrinology, Diabetes and Metabolism
- Genetics
- Co-authors
- Nelly PitteloudRichard QuintonLacey PlummerWilliam F. CrowleyJanet E. HallRavikumar BalasubramanianXuan Lan Thi HoangNada Al Tassan
- Topics
- Reproductive Biology and Fertility (5 papers)Assisted Reproductive Technology and Twin Pregnancy (4 papers)Hypothalamic control of reproductive hormones (3 papers)
- Cited by
- Reproductive MedicineGenetics
- Journals
- Proceedings of the National Academy of SciencesJournal of Clinical OncologyThe Journal of Clinical Endocrinology & Metabolism
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
Kimberly W. Keefe
10 papers receiving 250 citations
Peers
Comparison fields: 5 of 47
- Reproductive Medicine 160
- Genetics 131
- Molecular Biology 114
- Endocrinology, Diabetes and Metabolism 32
- Genetics 27
Countries citing papers authored by Kimberly W. Keefe
This map shows the geographic impact of Kimberly W. Keefe'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 Kimberly W. Keefe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kimberly W. Keefe more than expected).
Fields of papers citing papers by Kimberly W. Keefe
This network shows the impact of papers produced by Kimberly W. Keefe. 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 Kimberly W. Keefe. The network helps show where Kimberly W. Keefe may publish in the future.
Co-authorship network of co-authors of Kimberly W. Keefe
This figure shows the co-authorship network connecting the top 25 collaborators of Kimberly W. Keefe. A scholar is included among the top collaborators of Kimberly W. Keefe 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 Kimberly W. Keefe. Kimberly W. Keefe is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 8 | |
| 5 | 1 | |
| 6 | 8 | |
| 7 | 4 | |
| 8 | 3 | |
| 9 | 0 | |
| 10 | 2 | |
| 11 | 110 | |
| 12 | 119 |
About Kimberly W. Keefe
Kimberly W. Keefe is a scholar working on Reproductive Medicine, Obstetrics and Gynecology and Public Health, Environmental and Occupational Health, having authored 12 papers that have together received 260 indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (5 papers), Assisted Reproductive Technology and Twin Pregnancy (4 papers) and Hypothalamic control of reproductive hormones (3 papers). The work is most often cited by research in Reproductive Medicine (160 citations), Genetics (131 citations) and Genetics (27 citations). Kimberly W. Keefe has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Nelly Pitteloud, Richard Quinton, Lacey Plummer, William F. Crowley, Janet E. Hall, Ravikumar Balasubramanian, Xuan Lan Thi Hoang, Nada Al Tassan, Jin‐Ho Choi and Guy Van Vliet. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and The Journal of Clinical Endocrinology & Metabolism.
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.