Jason S. Yeh
- Reproductive Medicine top 1%
- Pediatrics, Perinatology and Child Health top 2%
- Public Health, Environmental and Occupational Health top 5%
- Obstetrics and Gynecology top 5%
- Immunology
- Co-authors
- Suheil J. MuasherR.G. StewardJ. GoldfarbAnish ShahM.P. ProvostJennifer L. EatonKelly S. AcharyaChaitanya R. Acharya
- Topics
- Assisted Reproductive Technology and Twin Pregnancy (15 papers)Ovarian function and disorders (11 papers)Reproductive Health and Technologies (7 papers)
- Cited by
- Reproductive MedicinePediatrics, Perinatology and Child HealthPublic Health, Environmental and Occupational Health
- Partner nations
- United StatesTaiwanHong Kong
In The Last Decade
Jason S. Yeh
24 papers receiving 693 citations
Peers
Comparison fields: 5 of 59
- Reproductive Medicine 506
- Pediatrics, Perinatology and Child Health 427
- Public Health, Environmental and Occupational Health 389
- Obstetrics and Gynecology 96
- Immunology 76
Countries citing papers authored by Jason S. Yeh
This map shows the geographic impact of Jason S. Yeh'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 Jason S. Yeh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jason S. Yeh more than expected).
Fields of papers citing papers by Jason S. Yeh
This network shows the impact of papers produced by Jason S. Yeh. 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 Jason S. Yeh. The network helps show where Jason S. Yeh may publish in the future.
Co-authorship network of co-authors of Jason S. Yeh
This figure shows the co-authorship network connecting the top 25 collaborators of Jason S. Yeh. A scholar is included among the top collaborators of Jason S. Yeh 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 Jason S. Yeh. Jason S. Yeh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 16 | |
| 2 | 1 | |
| 3 | 9 | |
| 4 | 5 | |
| 5 | 20 | |
| 6 | High Peak Estradiol Predicts Higher Miscarriage and Lower Live Birth Rates in High Responders Triggered with a GnRH Agonist in IVF/ICSI Cycles. | 13 |
| 7 | 169 | |
| 8 | 21 | |
| 9 | 83 | |
| 10 | 2 | |
| 11 | 54 | |
| 12 | 219 | |
| 13 | 34 | |
| 14 | 2 | |
| 15 | 2 | |
| 16 | 1 | |
| 17 | 4 | |
| 18 | 2 | |
| 19 | 35 | |
| 20 | 1 |
About Jason S. Yeh
Jason S. Yeh is a scholar working on Reproductive Medicine, Pediatrics, Perinatology and Child Health and Obstetrics and Gynecology, having authored 24 papers that have together received 710 indexed citations. Recurring topics across this work include Assisted Reproductive Technology and Twin Pregnancy (15 papers), Ovarian function and disorders (11 papers) and Reproductive Health and Technologies (7 papers). The work is most often cited by research in Reproductive Medicine (506 citations), Pediatrics, Perinatology and Child Health (427 citations) and Public Health, Environmental and Occupational Health (389 citations). Jason S. Yeh has collaborated with scholars based in United States, Taiwan and Hong Kong. Frequent co-authors include Suheil J. Muasher, R.G. Steward, J. Goldfarb, Anish Shah, M.P. Provost, Jennifer L. Eaton, Kelly S. Acharya, Chaitanya R. Acharya, Thomas M Price and Lan Lan. Their work appears in journals such as Fertility and Sterility, Obstetrics and Gynecology and Journal of Neuroscience Research.
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.