Daisuke Kohda
- Immunology top 2%
- Molecular Biology top 1%
- Glycosylation and Glycoproteins Research 39
- Protein Structure and Dynamics 27
- RNA and protein synthesis mechanisms 26
- DNA Repair Mechanisms 14
- Mitochondrial Function and Pathology 13
- DNA and Nucleic Acid Chemistry 12
- Cell Biology top 2%
- Immunology and Allergy top 2%
- Microbiology top 2%
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- Enzyme Structure and Function 27
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- Carbohydrate Chemistry and Synthesis 16
- Co-authors
- Katsumi MaenakaToshiya EndoFuyuhiko InagakiHidekazu HiroakiMayumi IguraYoshito AbeHideki HatanakaTakanori Muto
- Journals
- Journal of Biological Chemistry (18 papers)Biochemistry (10 papers)Proceedings of the National Academy of Sciences (9 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Daisuke Kohda
146 papers receiving 6.6k citations
Peers
Comparison fields: 5 of 128
- Immunology 1.4k
- Molecular Biology 4.6k
- Cell Biology 629
- Immunology and Allergy 228
- Microbiology 193
Countries citing papers authored by Daisuke Kohda
This map shows the geographic impact of Daisuke Kohda'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 Daisuke Kohda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daisuke Kohda more than expected).
Fields of papers citing papers by Daisuke Kohda
This network shows the impact of papers produced by Daisuke Kohda. 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 Daisuke Kohda. The network helps show where Daisuke Kohda may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daisuke Kohda, 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 | 2 | |
| 2 | 2023 | 12 | |
| 3 | 2022 | 1 | |
| 4 | 2019 | 25 | |
| 5 | 2018 | 8 | |
| 6 | 2014 | 14 | |
| 7 | 2013 | 37 | |
| 8 | 2011 | 16 | |
| 9 | 2008 | 12 | |
| 10 | 2006 | 35 | |
| 11 | 2004 | 30 | |
| 12 | 2003 | 47 | |
| 13 | 2001 | 57 | |
| 14 | 2000 | 57 | |
| 15 | 2000 | 450 | |
| 16 | 1995 | 35 | |
| 17 | 1993 | 18 | |
| 18 | 1993 | 88 | |
| 19 | A Comparative ^1H NMR Study of Mouse α(1-53) and β(2-53) Epidermal Growth Factors. | 1989 | 1 |
| 20 | 1989 | 45 |
About Daisuke Kohda
Daisuke Kohda is a scholar working on Molecular Biology, Immunology and Allergy and Immunology, having authored 150 papers that have together received 6.7k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (39 papers), Protein Structure and Dynamics (27 papers), Enzyme Structure and Function (27 papers), RNA and protein synthesis mechanisms (26 papers), Carbohydrate Chemistry and Synthesis (16 papers), DNA Repair Mechanisms (14 papers), Mitochondrial Function and Pathology (13 papers) and DNA and Nucleic Acid Chemistry (12 papers). The work is most often cited by research in Immunology (1.4k citations), Molecular Biology (4.6k citations) and Cell Biology (629 citations). Daisuke Kohda has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Katsumi Maenaka, Toshiya Endo, Fuyuhiko Inagaki, Hidekazu Hiroaki, Mayumi Igura, Yoshito Abe, Hideki Hatanaka, Takanori Muto, Kimiko Kuroki and Hideki Sumimoto. Their work appears in journals such as Journal of Biological Chemistry, Biochemistry, Proceedings of the National Academy of Sciences, Journal of Molecular Biology and The EMBO Journal.
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.