Leslie V. Farland
- Reproductive Medicine top 0.1%
- Endometriosis Research and Treatment 47
- Ovarian function and disorders 40
- Reproductive Health and Technologies 36
- Obstetrics and Gynecology top 0.2%
- Uterine Myomas and Treatments 18
- Endometrial and Cervical Cancer Treatments 15
- Immunology top 5%
- Reproductive System and Pregnancy 19
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- Assisted Reproductive Technology and Twin Pregnancy 39
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- Reproductive Biology and Fertility 28
- Co-authors
- Stacey A. MissmerMarina KvaskoffKrina T. ZondervanAmy L. ShafrirJorge E. ChavarroHolly R. HarrisKathryn L. TerryElizabeth S. Ginsburg
- Journals
- JAMA (1 paper)Circulation (1 paper)SHILAP Revista de lepidopterología (4 papers)
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
Leslie V. Farland
148 papers receiving 3.9k citations
Hit Papers
Peers
Comparison fields: 5 of 138
- Reproductive Medicine 2.6k
- Obstetrics and Gynecology 1.6k
- Immunology 821
- Pediatrics, Perinatology and Child Health 743
- Public Health, Environmental and Occupational Health 1.0k
Countries citing papers authored by Leslie V. Farland
This map shows the geographic impact of Leslie V. Farland'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 Leslie V. Farland with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leslie V. Farland more than expected).
Fields of papers citing papers by Leslie V. Farland
This network shows the impact of papers produced by Leslie V. Farland. 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 Leslie V. Farland. The network helps show where Leslie V. Farland may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Leslie V. Farland, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | Endometriosis Typology and Ovarian Cancer Riskbreakdown → | 2024 | 57 |
| 4 | 2024 | 0 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 0 | |
| 8 | 2023 | 26 | |
| 9 | 2023 | 5 | |
| 10 | 2023 | 12 | |
| 11 | 2022 | 3 | |
| 12 | 2022 | 1 | |
| 13 | 2021 | 11 | |
| 14 | 2021 | 14 | |
| 15 | 2020 | 4 | |
| 16 | 2020 | 96 | |
| 17 | 2020 | 9 | |
| 18 | 2018 | 3 | |
| 19 | 2017 | 22 | |
| 20 | 2015 | 68 |
About Leslie V. Farland
Leslie V. Farland is a scholar working on Reproductive Medicine, Obstetrics and Gynecology and Pediatrics, Perinatology and Child Health, having authored 167 papers that have together received 3.9k indexed citations. Recurring topics across this work include Endometriosis Research and Treatment (47 papers), Ovarian function and disorders (40 papers), Assisted Reproductive Technology and Twin Pregnancy (39 papers), Reproductive Health and Technologies (36 papers), Reproductive Biology and Fertility (28 papers), Reproductive System and Pregnancy (19 papers), Uterine Myomas and Treatments (18 papers) and Endometrial and Cervical Cancer Treatments (15 papers). The work is most often cited by research in Reproductive Medicine (2.6k citations), Obstetrics and Gynecology (1.6k citations) and Immunology (821 citations). Leslie V. Farland has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Stacey A. Missmer, Marina Kvaskoff, Krina T. Zondervan, Amy L. Shafrir, Jorge E. Chavarro, Holly R. Harris, Kathryn L. Terry, Elizabeth S. Ginsburg, Janet W. Rich‐Edwards and S.A. Missmer. Their work appears in journals such as JAMA, Circulation and SHILAP Revista de lepidopterología.
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.