Kiichiro Noda
- Reproductive Medicine top 1%
- Obstetrics and Gynecology top 1%
- Surgery top 10%
- Oncology top 10%
- Molecular Biology
- Co-authors
- Kazunori OchiaiToru SugiyamaFumiaki TakahashiDaisuke AokiNoriyuki KatsumataHiroshi TsudaToshiko JoboMakoto Yasuda
- Topics
- Endometrial and Cervical Cancer Treatments (20 papers)Cervical Cancer and HPV Research (19 papers)Ovarian cancer diagnosis and treatment (16 papers)
In The Last Decade
Kiichiro Noda
72 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 92
- Reproductive Medicine 721
- Obstetrics and Gynecology 556
- Surgery 409
- Oncology 409
- Molecular Biology 371
Countries citing papers authored by Kiichiro Noda
This map shows the geographic impact of Kiichiro Noda'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 Kiichiro Noda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kiichiro Noda more than expected).
Fields of papers citing papers by Kiichiro Noda
This network shows the impact of papers produced by Kiichiro Noda. 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 Kiichiro Noda. The network helps show where Kiichiro Noda may publish in the future.
Co-authorship network of co-authors of Kiichiro Noda
This figure shows the co-authorship network connecting the top 25 collaborators of Kiichiro Noda. A scholar is included among the top collaborators of Kiichiro Noda 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 Kiichiro Noda. Kiichiro Noda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 37 | |
| 2 | 9 | |
| 3 | Favourable prognosis with modified dosing of docetaxel and cisplatin in Japanese patients with ovarian cancer. | 5 |
| 4 | Dose-dense paclitaxel once a week in combination with carboplatin every 3 weeks for advanced ovarian cancer: a phase 3, open-label, randomised controlled trialbreakdown → | 502 |
| 5 | 7 | |
| 6 | Japanese ovarian trials: focus on irinotecan. | 3 |
| 7 | 7 | |
| 8 | 25 | |
| 9 | 11 | |
| 10 | 5 | |
| 11 | 32 | |
| 12 | 4 | |
| 13 | 56 | |
| 14 | 58 | |
| 15 | 15 | |
| 16 | 22 | |
| 17 | 61 | |
| 18 | TE-031 (A-56268) IN CHLAMYDIAL INFECTIONS DURING THE PERINATAL PERIOD | 1 |
| 19 | 1 | |
| 20 | 0 |
About Kiichiro Noda
Kiichiro Noda is a scholar working on Obstetrics and Gynecology, Reproductive Medicine and Epidemiology, having authored 75 papers that have together received 1.5k indexed citations. Recurring topics across this work include Endometrial and Cervical Cancer Treatments (20 papers), Cervical Cancer and HPV Research (19 papers) and Ovarian cancer diagnosis and treatment (16 papers). The work is most often cited by research in Reproductive Medicine (721 citations), Obstetrics and Gynecology (556 citations) and Oncology (409 citations). Kiichiro Noda has collaborated with scholars based in Japan, Indonesia and Iran. Frequent co-authors include Kazunori Ochiai, Toru Sugiyama, Fumiaki Takahashi, Daisuke Aoki, Noriyuki Katsumata, Hiroshi Tsuda, Toshiko Jobo, Makoto Yasuda, Seiji Isonishi and Eizo Kimura. Their work appears in journals such as The Lancet, Journal of Clinical Oncology 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.