Koji Kugu
- Reproductive Medicine top 1%
- Public Health, Environmental and Occupational Health top 5%
- Molecular Biology
- Immunology top 10%
- Obstetrics and Gynecology top 2%
- Co-authors
- Yuji TaketaniYutaka OsugaKaori KogaTetsu YanoOsamu TsutsumiKim I. TillyToshihiro FujiwaraMikio Momoeda
- Topics
- Reproductive Biology and Fertility (14 papers)Endometriosis Research and Treatment (13 papers)Reproductive System and Pregnancy (9 papers)
- Cited by
- Reproductive MedicineObstetrics and GynecologyPublic Health, Environmental and Occupational Health
- Partner nations
- JapanUnited StatesAustralia
In The Last Decade
Koji Kugu
54 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 87
- Reproductive Medicine 664
- Public Health, Environmental and Occupational Health 424
- Molecular Biology 331
- Immunology 300
- Obstetrics and Gynecology 295
Countries citing papers authored by Koji Kugu
This map shows the geographic impact of Koji Kugu'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 Koji Kugu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Koji Kugu more than expected).
Fields of papers citing papers by Koji Kugu
This network shows the impact of papers produced by Koji Kugu. 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 Koji Kugu. The network helps show where Koji Kugu may publish in the future.
Co-authorship network of co-authors of Koji Kugu
This figure shows the co-authorship network connecting the top 25 collaborators of Koji Kugu. A scholar is included among the top collaborators of Koji Kugu 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 Koji Kugu. Koji Kugu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 7 | |
| 5 | Current status of prenatal diagnosis in Japan 1998-2016 | 7 |
| 6 | 4 | |
| 7 | Therapeutic modality for polycystic ovary syndrome | 1 |
| 8 | 6 | |
| 9 | 15 | |
| 10 | 13 | |
| 11 | 51 | |
| 12 | 47 | |
| 13 | 23 | |
| 14 | 35 | |
| 15 | 65 | |
| 16 | 52 | |
| 17 | 43 | |
| 18 | 14 | |
| 19 | 5 | |
| 20 | 82 Inhibitory effect of interleukin 1(IL-1) on the aromatase (A) activity in cultured rat granulosa cells. | 1 |
About Koji Kugu
Koji Kugu is a scholar working on Reproductive Medicine, Obstetrics and Gynecology and Public Health, Environmental and Occupational Health, having authored 58 papers that have together received 1.3k indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (14 papers), Endometriosis Research and Treatment (13 papers) and Reproductive System and Pregnancy (9 papers). The work is most often cited by research in Reproductive Medicine (664 citations), Obstetrics and Gynecology (295 citations) and Public Health, Environmental and Occupational Health (424 citations). Koji Kugu has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Yuji Taketani, Yutaka Osuga, Kaori Koga, Tetsu Yano, Osamu Tsutsumi, Kim I. Tilly, Toshihiro Fujiwara, Mikio Momoeda, Jonathan L. Tilly and Jodi A. Flaws. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Endocrinology and British Journal of 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.