Lifa Lee
- Reproductive Medicine top 1%
- Endometriosis Research and Treatment 10
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- Circadian rhythm and melatonin 4
- Obstetrics and Gynecology top 5%
- Pregnancy and preeclampsia studies 3
- Endometrial and Cervical Cancer Treatments 3
- Aging top 10%
- Immunology top 10%
- Reproductive System and Pregnancy 10
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- Estrogen and related hormone effects 5
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- Reproductive Biology and Fertility 5
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- Kruppel-like factors research 3
- Co-authors
- Hiroshi TamuraIsao TamuraRyo MaekawaToshiaki TaketaniYoshiaki YamagataHiromi AsadaNorihiro SuginoFumie Kizuka
- Journals
- Journal of Ovarian Research (5 papers)Endocrinology (4 papers)The Journal of Clinical Endocrinology & Metabolism (2 papers)
- Partner nations
- JapanUnited States
In The Last Decade
Lifa Lee
22 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 84
- Reproductive Medicine 503
- Endocrine and Autonomic Systems 321
- Obstetrics and Gynecology 207
- Aging 38
- Immunology 317
Countries citing papers authored by Lifa Lee
This map shows the geographic impact of Lifa Lee'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 Lifa Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lifa Lee more than expected).
Fields of papers citing papers by Lifa Lee
This network shows the impact of papers produced by Lifa Lee. 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 Lifa Lee. The network helps show where Lifa Lee may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Lifa Lee, 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 | 2 | |
| 3 | 2022 | 3 | |
| 4 | 2016 | 15 | |
| 5 | 2016 | 18 | |
| 6 | 2016 | 39 | |
| 7 | 2015 | 22 | |
| 8 | 2015 | 31 | |
| 9 | 2014 | 16 | |
| 10 | 2014 | 56 | |
| 11 | 2013 | 81 | |
| 12 | 2013 | 46 | |
| 13 | 2012 | 11 | |
| 14 | 2012 | 212 | |
| 15 | 2012 | 50 | |
| 16 | 2011 | 77 | |
| 17 | 2011 | 37 | |
| 18 | 2011 | 3 | |
| 19 | 2010 | 58 | |
| 20 | 2010 | 20 |
About Lifa Lee
Lifa Lee is a scholar working on Reproductive Medicine, Obstetrics and Gynecology and Endocrine and Autonomic Systems, having authored 24 papers that have together received 1.1k indexed citations. Recurring topics across this work include Reproductive System and Pregnancy (10 papers), Endometriosis Research and Treatment (10 papers), Estrogen and related hormone effects (5 papers), Reproductive Biology and Fertility (5 papers), Circadian rhythm and melatonin (4 papers), Pregnancy and preeclampsia studies (3 papers), Endometrial and Cervical Cancer Treatments (3 papers) and Kruppel-like factors research (3 papers). The work is most often cited by research in Reproductive Medicine (503 citations), Endocrine and Autonomic Systems (321 citations) and Obstetrics and Gynecology (207 citations). Lifa Lee has collaborated with scholars based in Japan and United States. Frequent co-authors include Hiroshi Tamura, Isao Tamura, Ryo Maekawa, Toshiaki Taketani, Yoshiaki Yamagata, Hiromi Asada, Norihiro Sugino, Fumie Kizuka, Manabu Tanabe and Akihisa Takasaki. Their work appears in journals such as Journal of Ovarian Research, Endocrinology, The Journal of Clinical Endocrinology & Metabolism, Molecular Endocrinology and Journal of Pineal 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.