Yohko Kitagawa
- Immunology top 2%
- T-cell and B-cell Immunology 18
- Immune Cell Function and Interaction 17
- Immunotherapy and Immune Responses 10
- Oncology top 10%
- CAR-T cell therapy research 2
- Transplantation top 10%
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- Epigenetics and DNA Methylation 3
- RNA modifications and cancer 1
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- Diabetes and associated disorders 2
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- Adipose Tissue and Metabolism 2
- Co-authors
- Shimon SakaguchiNaganari OhkuraRyoji KawakamiKeiji HirotaYujiro KidaniDaisuke MotookaShota NakamuraKeiko Yasuda
- Cited by
- ImmunologyOncologyTransplantation
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Nature Communications (2 papers)Immunity (4 papers)
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Yohko Kitagawa
23 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 89
- Immunology 1.3k
- Oncology 252
- Transplantation 24
- Immunology and Allergy 37
- Biological Psychiatry 15
Countries citing papers authored by Yohko Kitagawa
This map shows the geographic impact of Yohko Kitagawa'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 Yohko Kitagawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yohko Kitagawa more than expected).
Fields of papers citing papers by Yohko Kitagawa
This network shows the impact of papers produced by Yohko Kitagawa. 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 Yohko Kitagawa. The network helps show where Yohko Kitagawa may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yohko Kitagawa, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 14 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 0 | |
| 6 | 2021 | 52 | |
| 7 | 2021 | 11 | |
| 8 | 調節性T細胞特異的エピゲノム領域変異体は共通自己免疫疾患に対する感受性の重要な決定因子である【JST・京大機械翻訳】 | 2020 | 16 |
| 9 | 2020 | 69 | |
| 10 | 2019 | 23 | |
| 11 | 2019 | 32 | |
| 12 | 2017 | 30 | |
| 13 | 2017 | 72 | |
| 14 | 2017 | 151 | |
| 15 | Guidance of regulatory T cell development by Satb1-dependent super-enhancer establishmentbreakdown → | 2016 | 262 |
| 16 | 2015 | 26 | |
| 17 | Development and Maintenance of Regulatory T cellsbreakdown → | 2013 | 562 |
| 18 | 2013 | 44 | |
| 19 | 2004 | 31 | |
| 20 | 1990 | 6 |
About Yohko Kitagawa
Yohko Kitagawa is a scholar working on Immunology, Endocrine and Autonomic Systems and Genetics, having authored 25 papers that have together received 1.7k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (18 papers), Immune Cell Function and Interaction (17 papers), Immunotherapy and Immune Responses (10 papers), Epigenetics and DNA Methylation (3 papers), Diabetes and associated disorders (2 papers), CAR-T cell therapy research (2 papers), Adipose Tissue and Metabolism (2 papers) and RNA modifications and cancer (1 paper). The work is most often cited by research in Immunology (1.3k citations), Oncology (252 citations) and Transplantation (24 citations). Yohko Kitagawa has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Shimon Sakaguchi, Naganari Ohkura, Ryoji Kawakami, Keiji Hirota, Yujiro Kidani, Daisuke Motooka, Shota Nakamura, Keiko Yasuda, Ichiro Taniuchi and Alexis Vandenbon. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Immunity.
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.