Yasuhiko Ebina
- Obstetrics and Gynecology top 0.5%
- Endometrial and Cervical Cancer Treatments 37
- Uterine Myomas and Treatments 10
- Reproductive Medicine top 0.5%
- Ovarian cancer diagnosis and treatment 22
- Endometriosis Research and Treatment 10
- Molecular Biology top 5%
- Genetics top 5%
- Epidemiology top 5%
- Cytomegalovirus and herpesvirus research 13
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- Reproductive System and Pregnancy 13
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- Ectopic Pregnancy Diagnosis and Management 13
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- Parvovirus B19 Infection Studies 11
- Co-authors
- Hideto YamadaAtsushi NakazawaNoriaki SakuragiMasataka MoriF ShimadaHideki HayashiTakanobu NakazawaEiichi Araki
- Journals
- Proceedings of the National Academy of Sciences (4 papers)The Lancet (1 paper)Journal of Biological Chemistry (9 papers)
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Yasuhiko Ebina
143 papers receiving 4.3k citations
Peers
Comparison fields: 5 of 129
- Obstetrics and Gynecology 1.2k
- Reproductive Medicine 850
- Molecular Biology 1.8k
- Genetics 550
- Epidemiology 567
Countries citing papers authored by Yasuhiko Ebina
This map shows the geographic impact of Yasuhiko Ebina'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 Yasuhiko Ebina with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yasuhiko Ebina more than expected).
Fields of papers citing papers by Yasuhiko Ebina
This network shows the impact of papers produced by Yasuhiko Ebina. 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 Yasuhiko Ebina. The network helps show where Yasuhiko Ebina may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yasuhiko Ebina, 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 | 2022 | 6 | |
| 2 | 2021 | 2 | |
| 3 | 2021 | 14 | |
| 4 | 2020 | 1 | |
| 5 | 2018 | 33 | |
| 6 | 2018 | 23 | |
| 7 | 2017 | 2 | |
| 8 | 2016 | 29 | |
| 9 | 2015 | 28 | |
| 10 | 2012 | 30 | |
| 11 | 2008 | 6 | |
| 12 | 2005 | 1 | |
| 13 | 2005 | 6 | |
| 14 | 2002 | 5 | |
| 15 | 2001 | 6 | |
| 16 | 2001 | 1 | |
| 17 | 2000 | 4 | |
| 18 | 1999 | 19 | |
| 19 | Peritoneal cytology and its prognostic value in endometrial carcinoma. | 1997 | 30 |
| 20 | Transcription analysis of the lexA gene of Escherichia coli: attenuation and cotranscription with the neighboring region. | 1984 | 5 |
About Yasuhiko Ebina
Yasuhiko Ebina is a scholar working on Obstetrics and Gynecology, Reproductive Medicine and Hematology, having authored 151 papers that have together received 4.4k indexed citations. Recurring topics across this work include Endometrial and Cervical Cancer Treatments (37 papers), Ovarian cancer diagnosis and treatment (22 papers), Cytomegalovirus and herpesvirus research (13 papers), Reproductive System and Pregnancy (13 papers), Ectopic Pregnancy Diagnosis and Management (13 papers), Parvovirus B19 Infection Studies (11 papers), Endometriosis Research and Treatment (10 papers) and Uterine Myomas and Treatments (10 papers). The work is most often cited by research in Obstetrics and Gynecology (1.2k citations), Reproductive Medicine (850 citations) and Molecular Biology (1.8k citations). Yasuhiko Ebina has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Hideto Yamada, Atsushi Nakazawa, Noriaki Sakuragi, Masataka Mori, F Shimada, Hideki Hayashi, Takanobu Nakazawa, Eiichi Araki, Fumihiko Kanai and Ritsu Yamamoto. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Lancet and Journal of Biological Chemistry.
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.