Tomoka Ishibashi
- Molecular Biology
- Reproductive Medicine top 2%
- Obstetrics and Gynecology top 2%
- Oncology top 10%
- Pathology and Forensic Medicine top 5%
- Co-authors
- Kentaro NakayamaMasako IshikawaKouji IidaSatoru KyoHiroshi KatagiriKohei NakamuraHitomi YamashitaMunmun Rahman
- Topics
- Ovarian cancer diagnosis and treatment (26 papers)Endometrial and Cervical Cancer Treatments (18 papers)Uterine Myomas and Treatments (17 papers)
- Journals
- Journal of Biological ChemistrySHILAP Revista de lepidopterologíaACS Nano
- Partner nations
- JapanSwitzerlandFrance
In The Last Decade
Tomoka Ishibashi
78 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 85
- Molecular Biology 447
- Reproductive Medicine 410
- Obstetrics and Gynecology 303
- Oncology 282
- Pathology and Forensic Medicine 263
Countries citing papers authored by Tomoka Ishibashi
This map shows the geographic impact of Tomoka Ishibashi'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 Tomoka Ishibashi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomoka Ishibashi more than expected).
Fields of papers citing papers by Tomoka Ishibashi
This network shows the impact of papers produced by Tomoka Ishibashi. 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 Tomoka Ishibashi. The network helps show where Tomoka Ishibashi may publish in the future.
Co-authorship network of co-authors of Tomoka Ishibashi
This figure shows the co-authorship network connecting the top 25 collaborators of Tomoka Ishibashi. A scholar is included among the top collaborators of Tomoka Ishibashi 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 Tomoka Ishibashi. Tomoka Ishibashi 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 | 2 | |
| 3 | 10 | |
| 4 | 0 | |
| 5 | 19 | |
| 6 | 14 | |
| 7 | 7 | |
| 8 | 5 | |
| 9 | 6 | |
| 10 | 12 | |
| 11 | 9 | |
| 12 | 8 | |
| 13 | 3 | |
| 14 | 19 | |
| 15 | 4 | |
| 16 | 21 | |
| 17 | ESR1 Gene Amplification in Endometrial Carcinomas: A Clinicopathological Analysis | 11 |
| 18 | 8 | |
| 19 | 5 | |
| 20 | 4 |
About Tomoka Ishibashi
Tomoka Ishibashi is a scholar working on Reproductive Medicine, Obstetrics and Gynecology and Internal Medicine, having authored 80 papers that have together received 1.1k indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (26 papers), Endometrial and Cervical Cancer Treatments (18 papers) and Uterine Myomas and Treatments (17 papers). The work is most often cited by research in Reproductive Medicine (410 citations), Obstetrics and Gynecology (303 citations) and Pathology and Forensic Medicine (263 citations). Tomoka Ishibashi has collaborated with scholars based in Japan, Switzerland and France. Frequent co-authors include Kentaro Nakayama, Masako Ishikawa, Kouji Iida, Satoru Kyo, Hiroshi Katagiri, Kohei Nakamura, Hitomi Yamashita, Munmun Rahman, Mohammed Tanjimur Rahman and Atsuko Katagiri. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and ACS Nano.
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.