Taisuke Kondo
- Immunology top 2%
- Immune Cell Function and Interaction 15
- T-cell and B-cell Immunology 11
- Immunotherapy and Immune Responses 4
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms 3
- Oncology top 5%
- CAR-T cell therapy research 14
- Biological Psychiatry top 10%
- Cell Biology top 10%
- melanin and skin pigmentation 3
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- Viral Infectious Diseases and Gene Expression in Insects 4
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- Virus-based gene therapy research 2
- Co-authors
- Akihiko YoshimuraMinako ItoShunsuke ChikumaVincent J. HearingHiroko NakatsukasaMakoto AndoTakashi ShichitaSetsuko Mise‐Omata
- Cited by
- ImmunologyNeurologyOncology
- Journals
- The Journal of Dermatology (3 papers)International Immunology (2 papers)Nature Immunology (2 papers)
- Partner nations
- JapanUnited StatesFrance
In The Last Decade
Taisuke Kondo
34 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 99
- Immunology 1.0k
- Neurology 298
- Oncology 622
- Biological Psychiatry 55
- Cell Biology 176
Countries citing papers authored by Taisuke Kondo
This map shows the geographic impact of Taisuke Kondo'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 Taisuke Kondo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Taisuke Kondo more than expected).
Fields of papers citing papers by Taisuke Kondo
This network shows the impact of papers produced by Taisuke Kondo. 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 Taisuke Kondo. The network helps show where Taisuke Kondo may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Taisuke Kondo, 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 | 1 | |
| 2 | 2023 | 12 | |
| 3 | 2023 | 17 | |
| 4 | 2023 | 1 | |
| 5 | 2022 | 37 | |
| 6 | 2021 | 13 | |
| 7 | 2020 | 1 | |
| 8 | 2020 | 3 | |
| 9 | 2019 | 67 | |
| 10 | 2019 | 5 | |
| 11 | 2018 | 64 | |
| 12 | Brain regulatory T cells suppress astrogliosis and potentiate neurological recoverybreakdown → | 2018 | 529 |
| 13 | 2017 | 66 | |
| 14 | 2017 | 80 | |
| 15 | 2017 | 173 | |
| 16 | 2017 | 47 | |
| 17 | 2013 | 55 | |
| 18 | 2013 | 17 | |
| 19 | 2008 | 30 | |
| 20 | 2008 | 24 |
About Taisuke Kondo
Taisuke Kondo is a scholar working on Immunology, Oncology and Neurology, having authored 34 papers that have together received 1.9k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (15 papers), CAR-T cell therapy research (14 papers), T-cell and B-cell Immunology (11 papers), Viral Infectious Diseases and Gene Expression in Insects (4 papers), Immunotherapy and Immune Responses (4 papers), melanin and skin pigmentation (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers) and Virus-based gene therapy research (2 papers). The work is most often cited by research in Immunology (1.0k citations), Neurology (298 citations) and Oncology (622 citations). Taisuke Kondo has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Akihiko Yoshimura, Minako Ito, Shunsuke Chikuma, Vincent J. Hearing, Hiroko Nakatsukasa, Makoto Ando, Takashi Shichita, Setsuko Mise‐Omata, Kyoko Inagaki‐Ohara and Ryota Sakai. Their work appears in journals such as The Journal of Dermatology, International Immunology, Nature Immunology, Cancer Research and PLoS ONE.
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.