Hiroshi Hiai
- Immunology top 0.2%
- Molecular Biology top 1%
- Oncology top 0.5%
- Genetics top 2%
- Cancer Research top 2%
- Co-authors
- Tasuku HonjoNagahiro MinatoShinya ToyokuniHiroyuki NishimuraMasato NoseKeisei OkamotoTaku OkazakiJunji Yodoi
- Topics
- Immune Cell Function and Interaction (18 papers)Glutathione Transferases and Polymorphisms (12 papers)DNA Repair Mechanisms (11 papers)
- Cited by
- ImmunologyOncologyBiochemistry
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Hiroshi Hiai
148 papers receiving 11.7k citations
Hit Papers
Peers
Comparison fields: 5 of 142
- Immunology 4.4k
- Molecular Biology 4.3k
- Oncology 4.2k
- Genetics 1.1k
- Cancer Research 1.0k
Countries citing papers authored by Hiroshi Hiai
This map shows the geographic impact of Hiroshi Hiai'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 Hiroshi Hiai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hiroshi Hiai more than expected).
Fields of papers citing papers by Hiroshi Hiai
This network shows the impact of papers produced by Hiroshi Hiai. 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 Hiroshi Hiai. The network helps show where Hiroshi Hiai may publish in the future.
Co-authorship network of co-authors of Hiroshi Hiai
This figure shows the co-authorship network connecting the top 25 collaborators of Hiroshi Hiai. A scholar is included among the top collaborators of Hiroshi Hiai 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 Hiroshi Hiai. Hiroshi Hiai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 10 | |
| 3 | 220 | |
| 4 | 22 | |
| 5 | 6 | |
| 6 | 41 | |
| 7 | 109 | |
| 8 | 19 | |
| 9 | 19 | |
| 10 | Development of Lupus-like Autoimmune Diseases by Disruption of the PD-1 Gene Encoding an ITIM Motif-Carrying Immunoreceptorbreakdown → | 2093 |
| 11 | 97 | |
| 12 | 21 | |
| 13 | 19 | |
| 14 | 26 | |
| 15 | 5 | |
| 16 | 69 | |
| 17 | 61 | |
| 18 | Expression of metastasis-related nm23-H1 and nm23-H2 genes in ovarian carcinomas: correlation with clinicopathology, EGFR, c-erbB-2, and c-erbB-3 genes, and sex steroid receptor expression. | 100 |
| 19 | 21 | |
| 20 | 2 |
About Hiroshi Hiai
Hiroshi Hiai is a scholar working on Immunology, Molecular Biology and Cancer Research, having authored 148 papers that have together received 12.0k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (18 papers), Glutathione Transferases and Polymorphisms (12 papers) and DNA Repair Mechanisms (11 papers). The work is most often cited by research in Immunology (4.4k citations), Oncology (4.2k citations) and Biochemistry (481 citations). Hiroshi Hiai has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Tasuku Honjo, Nagahiro Minato, Shinya Toyokuni, Hiroyuki Nishimura, Masato Nose, Keisei Okamoto, Taku Okazaki, Junji Yodoi, Yoshimasa Tanaka and Akira Mizoguchi. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.
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.