Keisuke Takahashi
- Catalysis top 1%
- Catalysis and Oxidation Reactions 48
- Materials Chemistry top 2%
- Machine Learning in Materials Science 54
- Catalytic Processes in Materials Science 44
- Graphene research and applications 20
- 2D Materials and Applications 16
- Condensed Matter Physics top 5%
- Immunology top 5%
- Aquaculture disease management and microbiota 18
- Invertebrate Immune Response Mechanisms 18
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- Synthetic Organic Chemistry Methods 15
- Co-authors
- Lauren TakahashiItsuki MiyazatoSusumi HatakeyamaJun IshiharaYuzuru TanakaNaoki ItohShun NishimuraJunya Ohyama
- Journals
- Journal of the American Chemical Society (1 paper)Physical Review Letters (2 papers)Angewandte Chemie International Edition (1 paper)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Keisuke Takahashi
287 papers receiving 6.1k citations
Peers
Comparison fields: 5 of 168
- Catalysis 971
- Materials Chemistry 2.6k
- Pathology and Forensic Medicine 641
- Condensed Matter Physics 392
- Immunology 582
Countries citing papers authored by Keisuke Takahashi
This map shows the geographic impact of Keisuke Takahashi'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 Keisuke Takahashi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keisuke Takahashi more than expected).
Fields of papers citing papers by Keisuke Takahashi
This network shows the impact of papers produced by Keisuke Takahashi. 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 Keisuke Takahashi. The network helps show where Keisuke Takahashi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Keisuke Takahashi, 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 | 2024 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 26 | |
| 5 | 2023 | 6 | |
| 6 | 2023 | 10 | |
| 7 | 2023 | 2 | |
| 8 | 2023 | 13 | |
| 9 | 2022 | 5 | |
| 10 | 2022 | 34 | |
| 11 | 2022 | 18 | |
| 12 | 2022 | 33 | |
| 13 | 2021 | 10 | |
| 14 | 2021 | 11 | |
| 15 | 2021 | 42 | |
| 16 | 2021 | 5 | |
| 17 | 2021 | 27 | |
| 18 | 2020 | 26 | |
| 19 | 2019 | 143 | |
| 20 | 1999 | 3 |
About Keisuke Takahashi
Keisuke Takahashi is a scholar working on Catalysis, Materials Chemistry and Metals and Alloys, having authored 303 papers that have together received 6.3k indexed citations. Recurring topics across this work include Machine Learning in Materials Science (54 papers), Catalysis and Oxidation Reactions (48 papers), Catalytic Processes in Materials Science (44 papers), Graphene research and applications (20 papers), Aquaculture disease management and microbiota (18 papers), Invertebrate Immune Response Mechanisms (18 papers), 2D Materials and Applications (16 papers) and Synthetic Organic Chemistry Methods (15 papers). The work is most often cited by research in Catalysis (971 citations), Materials Chemistry (2.6k citations) and Pathology and Forensic Medicine (641 citations). Keisuke Takahashi has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Lauren Takahashi, Itsuki Miyazato, Susumi Hatakeyama, Jun Ishihara, Yuzuru Tanaka, Naoki Itoh, Shun Nishimura, Junya Ohyama, Kazutaka Terahara and Toshiaki Taniike. Their work appears in journals such as Journal of the American Chemical Society, Physical Review Letters and Angewandte Chemie International Edition.
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.