Hiroya Kobayashi
- Immunology top 1%
- Oncology top 2%
- Molecular Biology top 10%
- Pathology and Forensic Medicine top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Co-authors
- Esteban CelisYasuaki HarabuchiTakumi KumaiNaoko AokiShoji KimuraToshihiro NagatoKensuke OikawaKeisuke Sato
- Topics
- Immunotherapy and Immune Responses (41 papers)Immune Cell Function and Interaction (24 papers)Cancer Immunotherapy and Biomarkers (15 papers)
- Journals
- Journal of Biological ChemistryThe Journal of Experimental MedicineThe Journal of Immunology
- Partner nations
- JapanUnited StatesSpain
In The Last Decade
Hiroya Kobayashi
87 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 99
- Immunology 1.7k
- Oncology 1.0k
- Molecular Biology 844
- Pathology and Forensic Medicine 219
- Radiology, Nuclear Medicine and Imaging 164
Countries citing papers authored by Hiroya Kobayashi
This map shows the geographic impact of Hiroya Kobayashi'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 Hiroya Kobayashi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hiroya Kobayashi more than expected).
Fields of papers citing papers by Hiroya Kobayashi
This network shows the impact of papers produced by Hiroya Kobayashi. 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 Hiroya Kobayashi. The network helps show where Hiroya Kobayashi may publish in the future.
Co-authorship network of co-authors of Hiroya Kobayashi
This figure shows the co-authorship network connecting the top 25 collaborators of Hiroya Kobayashi. A scholar is included among the top collaborators of Hiroya Kobayashi 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 Hiroya Kobayashi. Hiroya Kobayashi 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 | 1 | |
| 3 | 3 | |
| 4 | 4 | |
| 5 | 12 | |
| 6 | 8 | |
| 7 | 23 | |
| 8 | 44 | |
| 9 | 11 | |
| 10 | 19 | |
| 11 | 19 | |
| 12 | 10 | |
| 13 | 57 | |
| 14 | 27 | |
| 15 | 35 | |
| 16 | 28 | |
| 17 | 17 | |
| 18 | 35 | |
| 19 | Defining promiscuous MHC class II helper T-cell epitopes for the HER2/neu tumor antigen. | 121 |
| 20 | 10 |
About Hiroya Kobayashi
Hiroya Kobayashi is a scholar working on Immunology, Oncology and Immunology and Allergy, having authored 88 papers that have together received 2.3k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (41 papers), Immune Cell Function and Interaction (24 papers) and Cancer Immunotherapy and Biomarkers (15 papers). The work is most often cited by research in Immunology (1.7k citations), Oncology (1.0k citations) and Immunology and Allergy (77 citations). Hiroya Kobayashi has collaborated with scholars based in Japan, United States and Spain. Frequent co-authors include Esteban Celis, Yasuaki Harabuchi, Takumi Kumai, Naoko Aoki, Shoji Kimura, Toshihiro Nagato, Kensuke Oikawa, Keisuke Sato, Takayuki Ohkuri and Masatoshi Tateno. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Experimental Medicine and The Journal of Immunology.
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.