Takashi Katayama
- Molecular Biology top 10%
- Oncology top 10%
- Immunology top 10%
- Immunology and Allergy top 2%
- Surgery
- Co-authors
- Fumio FukaiHideki FuseTeruhiro NakadaHiroshi KoikeHirofumi YajimaTadahiro IshiiShin YoneharaHajime Takayama
- Topics
- Sperm and Testicular Function (31 papers)Reproductive Biology and Fertility (15 papers)Cell Adhesion Molecules Research (15 papers)
- Partner nations
- JapanUnited StatesDenmark
In The Last Decade
Takashi Katayama
144 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 113
- Molecular Biology 734
- Oncology 297
- Immunology 287
- Immunology and Allergy 254
- Surgery 252
Countries citing papers authored by Takashi Katayama
This map shows the geographic impact of Takashi Katayama'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 Takashi Katayama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takashi Katayama more than expected).
Fields of papers citing papers by Takashi Katayama
This network shows the impact of papers produced by Takashi Katayama. 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 Takashi Katayama. The network helps show where Takashi Katayama may publish in the future.
Co-authorship network of co-authors of Takashi Katayama
This figure shows the co-authorship network connecting the top 25 collaborators of Takashi Katayama. A scholar is included among the top collaborators of Takashi Katayama 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 Takashi Katayama. Takashi Katayama is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 0 | |
| 3 | 50 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 6 | |
| 7 | 7 | |
| 8 | 64 | |
| 9 | [The relation between Behçet's disease and interleukin-1 beta production]. | 6 |
| 10 | 0 | |
| 11 | 1 | |
| 12 | 1 | |
| 13 | 1 | |
| 14 | 6 | |
| 15 | 1 | |
| 16 | 6 | |
| 17 | 18 | |
| 18 | 1 | |
| 19 | 13 | |
| 20 | [Urinary tract infection in children. Asymptomatic bacteriuria of schoolchildren in Chiba City and urinary tract infection in outpatient children of Department of Urology, Chiba University (author's transl)]. | 1 |
About Takashi Katayama
Takashi Katayama is a scholar working on Reproductive Medicine, Immunology and Allergy and Endocrinology, Diabetes and Metabolism, having authored 157 papers that have together received 1.9k indexed citations. Recurring topics across this work include Sperm and Testicular Function (31 papers), Reproductive Biology and Fertility (15 papers) and Cell Adhesion Molecules Research (15 papers). The work is most often cited by research in Immunology and Allergy (254 citations), Reproductive Medicine (206 citations) and Cancer Research (237 citations). Takashi Katayama has collaborated with scholars based in Japan, United States and Denmark. Frequent co-authors include Fumio Fukai, Hideki Fuse, Teruhiro Nakada, Hiroshi Koike, Hirofumi Yajima, Tadahiro Ishii, Shin Yonehara, Hajime Takayama, Yoichi Shinkai and Hidefumi Kojima. Their work appears in journals such as Journal of Biological Chemistry, Immunity and The Journal of Clinical Endocrinology & Metabolism.
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.