Kenji Takakura
- Immunology top 1%
- Reproductive Medicine top 0.2%
- Oncology top 2%
- Molecular Biology top 10%
- Obstetrics and Gynecology top 0.5%
- Co-authors
- Masaki MandaiShingo FujiiToshihiro HiguchiKen YamaguchiJunzo HamanishiTakahide MoriHaruhiko YagiTaku Okazaki
- Topics
- Reproductive System and Pregnancy (29 papers)Reproductive Biology and Fertility (16 papers)Endometriosis Research and Treatment (11 papers)
- Journals
- Proceedings of the National Academy of SciencesSHILAP Revista de lepidopterologíaThe Journal of Immunology
- Partner nations
- JapanUnited StatesFrance
In The Last Decade
Kenji Takakura
92 papers receiving 4.5k citations
Hit Papers
Peers
Comparison fields: 5 of 121
- Immunology 1.9k
- Reproductive Medicine 1.6k
- Oncology 1.2k
- Molecular Biology 926
- Obstetrics and Gynecology 809
Countries citing papers authored by Kenji Takakura
This map shows the geographic impact of Kenji Takakura'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 Kenji Takakura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kenji Takakura more than expected).
Fields of papers citing papers by Kenji Takakura
This network shows the impact of papers produced by Kenji Takakura. 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 Kenji Takakura. The network helps show where Kenji Takakura may publish in the future.
Co-authorship network of co-authors of Kenji Takakura
This figure shows the co-authorship network connecting the top 25 collaborators of Kenji Takakura. A scholar is included among the top collaborators of Kenji Takakura 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 Kenji Takakura. Kenji Takakura is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | 2 | |
| 3 | 12 | |
| 4 | 13 | |
| 5 | 73 | |
| 6 | Programmed cell death 1 ligand 1 and tumor-infiltrating CD8 + T lymphocytes are prognostic factors of human ovarian cancerbreakdown → | 1155 |
| 7 | 127 | |
| 8 | 119 | |
| 9 | 5 | |
| 10 | 19 | |
| 11 | 85 | |
| 12 | 123 | |
| 13 | 21 | |
| 14 | 4 | |
| 15 | 45 | |
| 16 | 198 | |
| 17 | 3 | |
| 18 | 36 | |
| 19 | 46 | |
| 20 | 3 |
About Kenji Takakura
Kenji Takakura is a scholar working on Obstetrics and Gynecology, Reproductive Medicine and Immunology, having authored 92 papers that have together received 4.6k indexed citations. Recurring topics across this work include Reproductive System and Pregnancy (29 papers), Reproductive Biology and Fertility (16 papers) and Endometriosis Research and Treatment (11 papers). The work is most often cited by research in Reproductive Medicine (1.6k citations), Obstetrics and Gynecology (809 citations) and Immunology (1.9k citations). Kenji Takakura has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Masaki Mandai, Shingo Fujii, Toshihiro Higuchi, Ken Yamaguchi, Junzo Hamanishi, Takahide Mori, Haruhiko Yagi, Taku Okazaki, Yoshimasa Tanaka and Masashi Iwasaki. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and The Journal of Immunology.
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.