Daisuke Motooka
- Molecular Medicine top 1%
- Antibiotic Resistance in Bacteria 27
- Periodontics top 0.5%
- Endocrinology top 1%
- Infectious Diseases top 1%
- Clostridium difficile and Clostridium perfringens research 16
- Immunology top 5%
- Immune Cell Function and Interaction 17
- T-cell and B-cell Immunology 12
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- Gut microbiota and health 36
- CRISPR and Genetic Engineering 15
- Genomics and Phylogenetic Studies 15
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- Mycobacterium research and diagnosis 22
- Co-authors
- Shota NakamuraKazuyoshi GotohTetsuya IidaKiyoshi TakedaShimon SakaguchiDaisuke OkuzakiAtsushi KumanogohKeiji Hirota
- Partner nations
- JapanUnited StatesThailand
In The Last Decade
Daisuke Motooka
242 papers receiving 5.7k citations
Hit Papers
Peers
Comparison fields: 5 of 149
- Molecular Medicine 499
- Periodontics 397
- Endocrinology 369
- Infectious Diseases 1.0k
- Immunology 904
Countries citing papers authored by Daisuke Motooka
This map shows the geographic impact of Daisuke Motooka'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 Motooka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daisuke Motooka more than expected).
Fields of papers citing papers by Daisuke Motooka
This network shows the impact of papers produced by Daisuke Motooka. 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 Motooka. The network helps show where Daisuke Motooka may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daisuke Motooka, 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 | 2025 | 1 | |
| 3 | 2024 | 5 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 3 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 2 | |
| 8 | 2023 | 0 | |
| 9 | 2023 | 6 | |
| 10 | 2023 | 21 | |
| 11 | 2023 | 0 | |
| 12 | 2022 | 34 | |
| 13 | 2022 | 6 | |
| 14 | 2022 | 10 | |
| 15 | 2021 | 31 | |
| 16 | 2021 | 0 | |
| 17 | 2020 | 7 | |
| 18 | 2020 | 25 | |
| 19 | 2020 | 21 | |
| 20 | 2017 | 56 |
About Daisuke Motooka
Daisuke Motooka is a scholar working on Molecular Medicine, Endocrinology, Infectious Diseases, Microbiology and Immunology, having authored 270 papers that have together received 5.7k indexed citations. Recurring topics across this work include Gut microbiota and health (36 papers), Antibiotic Resistance in Bacteria (27 papers), Mycobacterium research and diagnosis (22 papers), Immune Cell Function and Interaction (17 papers), Clostridium difficile and Clostridium perfringens research (16 papers), CRISPR and Genetic Engineering (15 papers), Genomics and Phylogenetic Studies (15 papers) and T-cell and B-cell Immunology (12 papers). The work is most often cited by research in Molecular Medicine (499 citations), Periodontics (397 citations), Endocrinology (369 citations), Infectious Diseases (1.0k citations) and Immunology (904 citations). Daisuke Motooka has collaborated with scholars based in Japan, United States and Thailand. Frequent co-authors include Shota Nakamura, Kazuyoshi Gotoh, Tetsuya Iida, Kiyoshi Takeda, Shimon Sakaguchi, Daisuke Okuzaki, Atsushi Kumanogoh, Tetsuya Iida, Keiji Hirota and Yuichi Maeda. Their work appears in journals such as Scientific Reports, PLoS ONE, Nature Communications, International Immunology and Proceedings of the National Academy of Sciences.
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.