Masahiko Hatano
- Molecular Biology top 2%
- Epidemiology top 0.5%
- Immunology top 0.5%
- Cell Biology top 1%
- Physiology top 2%
- Co-authors
- Takeshi TokuhisaAkitsugu YamamotoTamotsu YoshimoriYoshinori OhsumiNoboru MizushimaAkiko KumaMakoto MatsuiHaruaki Nakaya
- Topics
- Immune Cell Function and Interaction (24 papers)T-cell and B-cell Immunology (24 papers)Immunotherapy and Immune Responses (19 papers)
- Cited by
- ImmunologyEpidemiologyPhysiology
- Partner nations
- JapanUnited StatesFrance
In The Last Decade
Masahiko Hatano
140 papers receiving 8.9k citations
Hit Papers
Peers
Comparison fields: 5 of 133
- Molecular Biology 3.7k
- Epidemiology 3.4k
- Immunology 2.6k
- Cell Biology 1.0k
- Physiology 1.0k
Countries citing papers authored by Masahiko Hatano
This map shows the geographic impact of Masahiko Hatano'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 Masahiko Hatano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masahiko Hatano more than expected).
Fields of papers citing papers by Masahiko Hatano
This network shows the impact of papers produced by Masahiko Hatano. 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 Masahiko Hatano. The network helps show where Masahiko Hatano may publish in the future.
Co-authorship network of co-authors of Masahiko Hatano
This figure shows the co-authorship network connecting the top 25 collaborators of Masahiko Hatano. A scholar is included among the top collaborators of Masahiko Hatano 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 Masahiko Hatano. Masahiko Hatano 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 | 8 | |
| 3 | 0 | |
| 4 | 15 | |
| 5 | 9 | |
| 6 | 10 | |
| 7 | 47 | |
| 8 | The Chiba Medical Society Award (2015) : Programmed cell death in sepsis : Determining whether it is a friend or foe | 1 |
| 9 | Possible role of Krab-zinc finger protein, Nczf, in regulation of apoptosis | 1 |
| 10 | 349 | |
| 11 | 64 | |
| 12 | 19 | |
| 13 | 67 | |
| 14 | 44 | |
| 15 | 12 | |
| 16 | 41 | |
| 17 | 153 | |
| 18 | 36 | |
| 19 | 24 | |
| 20 | [Study on maintenance of differentiated functions in cultured chick embryonal liver cells (author's transl)]. | 1 |
About Masahiko Hatano
Masahiko Hatano is a scholar working on Immunology, Biological Psychiatry and Molecular Biology, having authored 144 papers that have together received 9.1k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (24 papers), T-cell and B-cell Immunology (24 papers) and Immunotherapy and Immune Responses (19 papers). The work is most often cited by research in Immunology (2.6k citations), Epidemiology (3.4k citations) and Physiology (418 citations). Masahiko Hatano has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Takeshi Tokuhisa, Akitsugu Yamamoto, Tamotsu Yoshimori, Yoshinori Ohsumi, Noboru Mizushima, Akiko Kuma, Makoto Matsui, Haruaki Nakaya, Seiji Okada and Kuninori Suzuki. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.