Hidetaka Yakura
- Immunology top 2%
- Molecular Biology top 10%
- Cellular and Molecular Neuroscience top 5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Cell Biology top 10%
- Co-authors
- Takeshi TsubataTakahiro AdachiKazuya MizunoMichael RethMami OgimotoHeinrich FlaswinkelTatsuo KatagiriKiminori Hasegawa
- Topics
- T-cell and B-cell Immunology (24 papers)Protein Tyrosine Phosphatases (19 papers)Immune Cell Function and Interaction (16 papers)
- Journals
- New England Journal of MedicineJournal of Biological ChemistryThe Journal of Experimental Medicine
- Partner nations
- JapanUnited StatesFrance
In The Last Decade
Hidetaka Yakura
58 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 86
- Immunology 1.1k
- Molecular Biology 887
- Cellular and Molecular Neuroscience 431
- Radiology, Nuclear Medicine and Imaging 235
- Cell Biology 139
Countries citing papers authored by Hidetaka Yakura
This map shows the geographic impact of Hidetaka Yakura'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 Hidetaka Yakura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hidetaka Yakura more than expected).
Fields of papers citing papers by Hidetaka Yakura
This network shows the impact of papers produced by Hidetaka Yakura. 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 Hidetaka Yakura. The network helps show where Hidetaka Yakura may publish in the future.
Co-authorship network of co-authors of Hidetaka Yakura
This figure shows the co-authorship network connecting the top 25 collaborators of Hidetaka Yakura. A scholar is included among the top collaborators of Hidetaka Yakura 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 Hidetaka Yakura. Hidetaka Yakura is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 35 | |
| 3 | 19 | |
| 4 | 41 | |
| 5 | 10 | |
| 6 | 60 | |
| 7 | 77 | |
| 8 | 285 | |
| 9 | 16 | |
| 10 | 15 | |
| 11 | 16 | |
| 12 | 40 | |
| 13 | 52 | |
| 14 | 24 | |
| 15 | 46 | |
| 16 | 13 | |
| 17 | 5 | |
| 18 | 56 | |
| 19 | 11 | |
| 20 | [The association between major histocompatibility antigens (HLA) and Vogt-Koyanagi-Harada syndrome (author's transl)]. | 7 |
About Hidetaka Yakura
Hidetaka Yakura is a scholar working on Immunology, Immunology and Allergy and Radiology, Nuclear Medicine and Imaging, having authored 59 papers that have together received 1.9k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (24 papers), Protein Tyrosine Phosphatases (19 papers) and Immune Cell Function and Interaction (16 papers). The work is most often cited by research in Immunology (1.1k citations), Cellular and Molecular Neuroscience (431 citations) and Immunology and Allergy (119 citations). Hidetaka Yakura has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Takeshi Tsubata, Takahiro Adachi, Kazuya Mizuno, Michael Reth, Mami Ogimoto, Heinrich Flaswinkel, Tatsuo Katagiri, Kiminori Hasegawa, Akemi Wakisaka and Katsuaki Itakura. Their work appears in journals such as New England Journal of Medicine, Journal of Biological Chemistry and The Journal of Experimental Medicine.
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.