Naohiro Fujimoto
- Pulmonary and Respiratory Medicine top 2%
- Molecular Biology top 10%
- Oncology top 5%
- Surgery top 10%
- Endocrinology, Diabetes and Metabolism top 2%
- Co-authors
- Masaki ShiotaShuyuan YehChawnshang ChangHong‐Yo KangTetsuro MatsumotoSeiji NaitoAkira YokomizoTakeshi Uchiumi
- Topics
- Prostate Cancer Treatment and Research (65 papers)Bladder and Urothelial Cancer Treatments (50 papers)Urinary and Genital Oncology Studies (35 papers)
- Journals
- Journal of Biological ChemistryJournal of Clinical OncologySHILAP Revista de lepidopterología
- Partner nations
- JapanUnited StatesDenmark
In The Last Decade
Naohiro Fujimoto
171 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 117
- Pulmonary and Respiratory Medicine 1.2k
- Molecular Biology 1.1k
- Oncology 471
- Surgery 454
- Endocrinology, Diabetes and Metabolism 452
Countries citing papers authored by Naohiro Fujimoto
This map shows the geographic impact of Naohiro Fujimoto'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 Naohiro Fujimoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Naohiro Fujimoto more than expected).
Fields of papers citing papers by Naohiro Fujimoto
This network shows the impact of papers produced by Naohiro Fujimoto. 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 Naohiro Fujimoto. The network helps show where Naohiro Fujimoto may publish in the future.
Co-authorship network of co-authors of Naohiro Fujimoto
This figure shows the co-authorship network connecting the top 25 collaborators of Naohiro Fujimoto. A scholar is included among the top collaborators of Naohiro Fujimoto 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 Naohiro Fujimoto. Naohiro Fujimoto 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 | 1 | |
| 3 | 6 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 9 | |
| 10 | 1 | |
| 11 | 6 | |
| 12 | 1 | |
| 13 | 6 | |
| 14 | 1 | |
| 15 | 17 | |
| 16 | 13 | |
| 17 | 19 | |
| 18 | 0 | |
| 19 | IMPROVEMENT OF DERMATOMYOSITIS FOLLOWING NEPHRECTOMY FOR RENAL CELL CARCINOMA : A CASE REPORT | 0 |
| 20 | [A case of renal cell carcinoma arising in bilateral original kidneys after failure of transplant graft function]. | 1 |
About Naohiro Fujimoto
Naohiro Fujimoto is a scholar working on Urology, Pulmonary and Respiratory Medicine and Endocrinology, Diabetes and Metabolism, having authored 181 papers that have together received 2.8k indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (65 papers), Bladder and Urothelial Cancer Treatments (50 papers) and Urinary and Genital Oncology Studies (35 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (1.2k citations), Cancer Research (417 citations) and Endocrinology, Diabetes and Metabolism (452 citations). Naohiro Fujimoto has collaborated with scholars based in Japan, United States and Denmark. Frequent co-authors include Masaki Shiota, Shuyuan Yeh, Chawnshang Chang, Hong‐Yo Kang, Tetsuro Matsumoto, Seiji Naito, Akira Yokomizo, Takeshi Uchiumi, Akinori Minato and Masatoshi Eto. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.
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.