Yoriko Ota
- Molecular Biology
- Pediatrics, Perinatology and Child Health top 10%
- Obstetrics and Gynecology top 10%
- Endocrinology, Diabetes and Metabolism
- Public Health, Environmental and Occupational Health
- Co-authors
- Noriyuki InabaIchio FukasawaYoshihiro TakeuchiYu MimuraKatsuyuki MatsuiYoshihiro MaruoHiroko TakahashiHiroshi Satō
- Topics
- Ovarian cancer diagnosis and treatment (4 papers)Monoclonal and Polyclonal Antibodies Research (4 papers)Pregnancy and preeclampsia studies (3 papers)
- Cited by
- Obstetrics and GynecologyPediatrics, Perinatology and Child HealthEndocrinology, Diabetes and Metabolism
In The Last Decade
Yoriko Ota
25 papers receiving 357 citations
Peers
Comparison fields: 5 of 68
- Molecular Biology 115
- Pediatrics, Perinatology and Child Health 115
- Obstetrics and Gynecology 84
- Endocrinology, Diabetes and Metabolism 80
- Public Health, Environmental and Occupational Health 58
Countries citing papers authored by Yoriko Ota
This map shows the geographic impact of Yoriko Ota'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 Yoriko Ota with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yoriko Ota more than expected).
Fields of papers citing papers by Yoriko Ota
This network shows the impact of papers produced by Yoriko Ota. 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 Yoriko Ota. The network helps show where Yoriko Ota may publish in the future.
Co-authorship network of co-authors of Yoriko Ota
This figure shows the co-authorship network connecting the top 25 collaborators of Yoriko Ota. A scholar is included among the top collaborators of Yoriko Ota 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 Yoriko Ota. Yoriko Ota is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 17 | |
| 2 | 10 | |
| 3 | 4 | |
| 4 | 5 | |
| 5 | 36 | |
| 6 | 5 | |
| 7 | 52 | |
| 8 | 17 | |
| 9 | 12 | |
| 10 | 25 | |
| 11 | 13 | |
| 12 | 8 | |
| 13 | 5 | |
| 14 | 1 | |
| 15 | 0 | |
| 16 | A NEW CYTOKERATIN-RELATED TUMOR MARKER, CYTOKERATIN FRAGMENT 21-1 (CYFRA 21-1), SHOWS MORE PROMISE AS A MARKER FOR GYNECOLOGIC MALIGNANCIES THAN TISSUE POLYPEPTIDE ANTIGEN (TPA) AND CANCER ANTIGEN 125 (CA 125) | 1 |
| 17 | 1 | |
| 18 | 7 | |
| 19 | 10 | |
| 20 | 14 |
About Yoriko Ota
Yoriko Ota is a scholar working on Reproductive Medicine, Obstetrics and Gynecology and Pediatrics, Perinatology and Child Health, having authored 26 papers that have together received 369 indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Pregnancy and preeclampsia studies (3 papers). The work is most often cited by research in Obstetrics and Gynecology (84 citations), Pediatrics, Perinatology and Child Health (115 citations) and Endocrinology, Diabetes and Metabolism (80 citations). Yoriko Ota has collaborated with scholars based in Japan, Germany and Türkiye. Frequent co-authors include Noriyuki Inaba, Ichio Fukasawa, Yoshihiro Takeuchi, Yu Mimura, Katsuyuki Matsui, Yoshihiro Maruo, Hiroko Takahashi, Hiroshi Satō, Asami Mori and Masatoshi Hayashi. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Geoderma and American Journal of Kidney Diseases.
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.