Keiji Hirota
- Immunology top 0.1%
- Molecular Biology top 5%
- Oncology top 2%
- Rheumatology top 1%
- Genetics top 5%
- Co-authors
- Brigitta StockingerMarc VeldhoenShimon SakaguchiTakashi NomuraJoão H. DuarteTomoyuki YamaguchiJ. DanielNoriko Sakaguchi
- Topics
- T-cell and B-cell Immunology (33 papers)Immune Cell Function and Interaction (23 papers)Immunotherapy and Immune Responses (16 papers)
- Journals
- NatureScienceNature Communications
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Keiji Hirota
52 papers receiving 9.6k citations
Hit Papers
Peers
Comparison fields: 5 of 128
- Immunology 6.8k
- Molecular Biology 1.9k
- Oncology 1.4k
- Rheumatology 862
- Genetics 660
Countries citing papers authored by Keiji Hirota
This map shows the geographic impact of Keiji Hirota'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 Keiji Hirota with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keiji Hirota more than expected).
Fields of papers citing papers by Keiji Hirota
This network shows the impact of papers produced by Keiji Hirota. 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 Keiji Hirota. The network helps show where Keiji Hirota may publish in the future.
Co-authorship network of co-authors of Keiji Hirota
This figure shows the co-authorship network connecting the top 25 collaborators of Keiji Hirota. A scholar is included among the top collaborators of Keiji Hirota 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 Keiji Hirota. Keiji Hirota 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 | 0 | |
| 3 | 7 | |
| 4 | 11 | |
| 5 | 0 | |
| 6 | 3 | |
| 7 | 30 | |
| 8 | 33 | |
| 9 | 12 | |
| 10 | 25 | |
| 11 | Guidance of regulatory T cell development by Satb1-dependent super-enhancer establishmentbreakdown → | 262 |
| 12 | 273 | |
| 13 | 103 | |
| 14 | 201 | |
| 15 | 165 | |
| 16 | Interleukin-17-Producing γδ T Cells Selectively Expand in Response to Pathogen Products and Environmental Signalsbreakdown → | 679 |
| 17 | The aryl hydrocarbon receptor links TH17-cell-mediated autoimmunity to environmental toxinsbreakdown → | 1298 |
| 18 | 424 | |
| 19 | Preferential recruitment of CCR6-expressing Th17 cells to inflamed joints via CCL20 in rheumatoid arthritis and its animal modelbreakdown → | 749 |
| 20 | Treatment of advanced tumors with agonistic anti-GITR mAb and its effects on tumor-infiltrating Foxp3 + CD25 + CD4 + regulatory T cellsbreakdown → | 409 |
About Keiji Hirota
Keiji Hirota is a scholar working on Immunology, Pharmaceutical Science and Pharmacy, having authored 55 papers that have together received 9.8k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (33 papers), Immune Cell Function and Interaction (23 papers) and Immunotherapy and Immune Responses (16 papers). The work is most often cited by research in Immunology (6.8k citations), Biological Psychiatry (312 citations) and Dermatology (576 citations). Keiji Hirota has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Brigitta Stockinger, Marc Veldhoen, Shimon Sakaguchi, Takashi Nomura, João H. Duarte, Tomoyuki Yamaguchi, J. Daniel, Noriko Sakaguchi, Jan Buer and Astrid M. Westendorf. Their work appears in journals such as Nature, Science and Nature Communications.
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.