Takahiro Adachi
- Immunology top 2%
- Immune Cell Function and Interaction 17
- T-cell and B-cell Immunology 16
- Immunotherapy and Immune Responses 7
- Immunology and Allergy top 2%
- Food Allergy and Anaphylaxis Research 8
- Biotechnology top 2%
- Transgenic Plants and Applications 10
- Biomaterials top 5%
- Silk-based biomaterials and applications 6
- Molecular Biology top 5%
- Glycosylation and Glycoproteins Research 11
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- Monoclonal and Polyclonal Antibodies Research 10
- Co-authors
- Takeshi TsubataMichael RethTsukasa MatsudaRyô NakamuraNaohito AokiHidetaka YakuraMasahiro TomitaChisato Wakabayashi
- Journals
- Science (1 paper)Proceedings of the National Academy of Sciences (1 paper)Journal of Biological Chemistry (3 papers)
- Partner nations
- JapanGermanyUnited States
In The Last Decade
Takahiro Adachi
110 papers receiving 3.8k citations
Peers
Comparison fields: 5 of 138
- Immunology 1.3k
- Immunology and Allergy 297
- Biotechnology 309
- Biomaterials 373
- Molecular Biology 1.7k
Countries citing papers authored by Takahiro Adachi
This map shows the geographic impact of Takahiro Adachi'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 Takahiro Adachi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takahiro Adachi more than expected).
Fields of papers citing papers by Takahiro Adachi
This network shows the impact of papers produced by Takahiro Adachi. 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 Takahiro Adachi. The network helps show where Takahiro Adachi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Takahiro Adachi, 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 | 2026 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2023 | 40 | |
| 4 | 2018 | 24 | |
| 5 | 2018 | 23 | |
| 6 | 2009 | 100 | |
| 7 | La 2-x Sr x Cu 1-y (Zn,Ni) y O 4 (x=0.15-0.20)におけるCuスピン動力学と超伝導へのZnおよびNi置換の効果:ミュー粒子スピン緩和と磁化率の研究 | 2008 | 5 |
| 8 | 2008 | 0 | |
| 9 | 2007 | 15 | |
| 10 | 2007 | 25 | |
| 11 | 2005 | 30 | |
| 12 | 2003 | 41 | |
| 13 | 2003 | 243 | |
| 14 | 2003 | 15 | |
| 15 | 2002 | 145 | |
| 16 | La 2-x Sr x Cu 1-y Zn y O 4 (x~0.115)のCuスピンゆらぎに対する非磁性不純物効果のミュー粒子スピン緩和研究 | 2002 | 1 |
| 17 | 2000 | 77 | |
| 18 | 1996 | 95 | |
| 19 | 1995 | 72 | |
| 20 | 1995 | 20 |
About Takahiro Adachi
Takahiro Adachi is a scholar working on Immunology, Immunology and Allergy and Biotechnology, having authored 114 papers that have together received 3.9k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (17 papers), T-cell and B-cell Immunology (16 papers), Glycosylation and Glycoproteins Research (11 papers), Transgenic Plants and Applications (10 papers), Monoclonal and Polyclonal Antibodies Research (10 papers), Food Allergy and Anaphylaxis Research (8 papers), Immunotherapy and Immune Responses (7 papers) and Silk-based biomaterials and applications (6 papers). The work is most often cited by research in Immunology (1.3k citations), Immunology and Allergy (297 citations) and Biotechnology (309 citations). Takahiro Adachi has collaborated with scholars based in Japan, Germany and United States. Frequent co-authors include Takeshi Tsubata, Michael Reth, Tsukasa Matsuda, Ryô Nakamura, Naohito Aoki, Hidetaka Yakura, Masahiro Tomita, Chisato Wakabayashi, Katsutoshi Yoshizato and Peter Nielsen. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.