Hitoshi Nomura
- Molecular Biology top 5%
- Oncology top 5%
- Immunology top 10%
- Genetics top 10%
- Hematology top 5%
- Co-authors
- Takakazu MizunoYoshihiro SowaTetsuro OritaToshiyuki SakaiShigetaka AsanoKatsunori NakanoMasayoshi OnoMasayuki Tsuchiya
- Topics
- Fish biology, ecology, and behavior (11 papers)RNA Interference and Gene Delivery (6 papers)Fish Biology and Ecology Studies (5 papers)
- Cited by
- OncologyHematologyMolecular Biology
- Partner nations
- JapanBrazilUnited States
In The Last Decade
Hitoshi Nomura
50 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 131
- Molecular Biology 1.5k
- Oncology 795
- Immunology 422
- Genetics 317
- Hematology 264
Countries citing papers authored by Hitoshi Nomura
This map shows the geographic impact of Hitoshi Nomura'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 Hitoshi Nomura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hitoshi Nomura more than expected).
Fields of papers citing papers by Hitoshi Nomura
This network shows the impact of papers produced by Hitoshi Nomura. 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 Hitoshi Nomura. The network helps show where Hitoshi Nomura may publish in the future.
Co-authorship network of co-authors of Hitoshi Nomura
This figure shows the co-authorship network connecting the top 25 collaborators of Hitoshi Nomura. A scholar is included among the top collaborators of Hitoshi Nomura 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 Hitoshi Nomura. Hitoshi Nomura is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 40 | |
| 3 | 12 | |
| 4 | 4 | |
| 5 | 41 | |
| 6 | 79 | |
| 7 | 4 | |
| 8 | 57 | |
| 9 | 24 | |
| 10 | 271 | |
| 11 | 3 | |
| 12 | 5 | |
| 13 | 0 | |
| 14 | Biologia do saguiru, curimatus elegans steindachner, 1874 do rio mogi guacu, sao paulo (osteichthyes, curimatidae) | 7 |
| 15 | Caracteres meristicos e dados biologicos sobre o canivete, Parodon tortuosus Egenmann & Norris, 1900 do rio Mogi Guacu, Sao Paulo (Osteichthyes,Parodontidae) | 2 |
| 16 | 4 | |
| 17 | SHRIMP SURVEY IN COASTAL AND OFFSHORE WATERS OF NORTHEASTERN AND NORTHERN BRAZIL | 2 |
| 18 | 1 | |
| 19 | SOBRE O COMPRIMENTO E O PESO DA CAVALA E DA SERRA DAS ÁGUAS CEARENSES | 1 |
| 20 | 4 |
About Hitoshi Nomura
Hitoshi Nomura is a scholar working on Aquatic Science, Nature and Landscape Conservation and Physiology, having authored 52 papers that have together received 2.5k indexed citations. Recurring topics across this work include Fish biology, ecology, and behavior (11 papers), RNA Interference and Gene Delivery (6 papers) and Fish Biology and Ecology Studies (5 papers). The work is most often cited by research in Oncology (795 citations), Hematology (264 citations) and Molecular Biology (1.5k citations). Hitoshi Nomura has collaborated with scholars based in Japan, Brazil and United States. Frequent co-authors include Takakazu Mizuno, Yoshihiro Sowa, Tetsuro Orita, Toshiyuki Sakai, Shigetaka Asano, Katsunori Nakano, Masayoshi Ono, Masayuki Tsuchiya, Osami Yamamoto and Tatsumi Yamazaki. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and The Lancet.
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.