Seiichiro Fujimoto
- Obstetrics and Gynecology top 0.2%
- Reproductive Medicine top 0.5%
- Molecular Biology top 10%
- Public Health, Environmental and Occupational Health top 2%
- Pediatrics, Perinatology and Child Health top 1%
- Co-authors
- Noriaki SakuragiHideto YamadaRitsu YamamotoGén KobashiHitoshi HareyamaEmi H. KatoToshinobu TanakaRajvir Dahiya
- Topics
- Endometrial and Cervical Cancer Treatments (27 papers)Ovarian cancer diagnosis and treatment (20 papers)Pregnancy and preeclampsia studies (18 papers)
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Seiichiro Fujimoto
172 papers receiving 4.3k citations
Peers
Comparison fields: 5 of 129
- Obstetrics and Gynecology 1.6k
- Reproductive Medicine 1.1k
- Molecular Biology 772
- Public Health, Environmental and Occupational Health 712
- Pediatrics, Perinatology and Child Health 711
Countries citing papers authored by Seiichiro Fujimoto
This map shows the geographic impact of Seiichiro Fujimoto'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 Seiichiro Fujimoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seiichiro Fujimoto more than expected).
Fields of papers citing papers by Seiichiro Fujimoto
This network shows the impact of papers produced by Seiichiro Fujimoto. 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 Seiichiro Fujimoto. The network helps show where Seiichiro Fujimoto may publish in the future.
Co-authorship network of co-authors of Seiichiro Fujimoto
This figure shows the co-authorship network connecting the top 25 collaborators of Seiichiro Fujimoto. A scholar is included among the top collaborators of Seiichiro Fujimoto 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 Seiichiro Fujimoto. Seiichiro Fujimoto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 5 | |
| 3 | 34 | |
| 4 | 1 | |
| 5 | 160 | |
| 6 | 5 | |
| 7 | 7 | |
| 8 | 68 | |
| 9 | 19 | |
| 10 | 6 | |
| 11 | 1 | |
| 12 | 94 | |
| 13 | 25 | |
| 14 | Urodynamics Study for Bladder Dysfunction Following Radical Hysterectomy | 1 |
| 15 | 33 | |
| 16 | 27 | |
| 17 | 0 | |
| 18 | 1 | |
| 19 | 15 | |
| 20 | Profile Analysis of Bile Acids in Human Fetal and Neonatal Periods by Gas Chromatography-Mass Spectrometry | 5 |
About Seiichiro Fujimoto
Seiichiro Fujimoto is a scholar working on Obstetrics and Gynecology, Reproductive Medicine and Pediatrics, Perinatology and Child Health, having authored 177 papers that have together received 4.5k indexed citations. Recurring topics across this work include Endometrial and Cervical Cancer Treatments (27 papers), Ovarian cancer diagnosis and treatment (20 papers) and Pregnancy and preeclampsia studies (18 papers). The work is most often cited by research in Obstetrics and Gynecology (1.6k citations), Reproductive Medicine (1.1k citations) and Pediatrics, Perinatology and Child Health (711 citations). Seiichiro Fujimoto has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Noriaki Sakuragi, Hideto Yamada, Ritsu Yamamoto, Gén Kobashi, Hitoshi Hareyama, Emi H. Kato, Toshinobu Tanaka, Rajvir Dahiya, Masahiro Sasaki and Teruo Sugawara. Their work appears in journals such as The Lancet, Journal of Biological Chemistry and Cancer.
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.