Naohiro Hashimoto
- Molecular Biology top 5%
- Public Health, Environmental and Occupational Health top 2%
- Cell Biology top 5%
- Reproductive Medicine top 2%
- Genetics top 10%
- Co-authors
- Takeo KishimotoMichiko WadaShigeru YasumotoYukio HiramotoY IgusaShunichi MiyazakiYasuaki YoshimotoMinesuke Yokoyama
- Topics
- Muscle Physiology and Disorders (23 papers)Reproductive Biology and Fertility (9 papers)Sperm and Testicular Function (7 papers)
- Journals
- NatureNucleic Acids ResearchPLoS ONE
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Naohiro Hashimoto
53 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 104
- Molecular Biology 1.5k
- Public Health, Environmental and Occupational Health 637
- Cell Biology 377
- Reproductive Medicine 316
- Genetics 278
Countries citing papers authored by Naohiro Hashimoto
This map shows the geographic impact of Naohiro Hashimoto'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 Hashimoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Naohiro Hashimoto more than expected).
Fields of papers citing papers by Naohiro Hashimoto
This network shows the impact of papers produced by Naohiro Hashimoto. 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 Hashimoto. The network helps show where Naohiro Hashimoto may publish in the future.
Co-authorship network of co-authors of Naohiro Hashimoto
This figure shows the co-authorship network connecting the top 25 collaborators of Naohiro Hashimoto. A scholar is included among the top collaborators of Naohiro Hashimoto 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 Hashimoto. Naohiro Hashimoto 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 | 21 | |
| 3 | 4 | |
| 4 | 15 | |
| 5 | 6 | |
| 6 | 12 | |
| 7 | 104 | |
| 8 | 16 | |
| 9 | 47 | |
| 10 | 10 | |
| 11 | 46 | |
| 12 | 33 | |
| 13 | 40 | |
| 14 | 14 | |
| 15 | Identification and localization of sperm SUMO-1(small ubiquitin-related modifier) in trout and tunicate(Developmental Biology)Proceedings of the Seventy-First Annual Meeting of the Zoological Society of Japan | 2 |
| 16 | 15 | |
| 17 | 13 | |
| 18 | 373 | |
| 19 | 11 | |
| 20 | 0 |
About Naohiro Hashimoto
Naohiro Hashimoto is a scholar working on Physiology, Reproductive Medicine and Aging, having authored 55 papers that have together received 2.3k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (23 papers), Reproductive Biology and Fertility (9 papers) and Sperm and Testicular Function (7 papers). The work is most often cited by research in Aging (97 citations), Reproductive Medicine (316 citations) and Cell Biology (377 citations). Naohiro Hashimoto has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Takeo Kishimoto, Michiko Wada, Shigeru Yasumoto, Yukio Hiramoto, Y Igusa, Shunichi Miyazaki, Yasuaki Yoshimoto, Minesuke Yokoyama, Yasuhide Furuta and Tohru Kiyono. Their work appears in journals such as Nature, Nucleic Acids Research and PLoS ONE.
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.