Teruki Honma
Impact in
- Computational Theory and Mathematics top 0.5%
- Computational Drug Discovery Methods
- Toxicology top 2%
Papers in
-
- Protein Structure and Dynamics 13
- Cancer therapeutics and mechanisms 8
-
- Computational Drug Discovery Methods 38
- Co-authors
- Shigeyuki Yokoyama (17 shared papers)Tomohiro Sato (23 shared papers)Akiko Tanaka (29 shared papers)Hitomi Yuki (19 shared papers)Mikako Shirouzu (16 shared papers)Kaori Fukuzawa (17 shared papers)Chiduru Watanabe (24 shared papers)Hajime Morishima (7 shared papers)
- Journals
- Journal of Chemical Information and Modeling (12 papers)Bioorganic & Medicinal Chemistry (8 papers)Bioorganic & Medicinal Chemistry Letters (6 papers)PLoS ONE (4 papers)Journal of Medicinal Chemistry (4 papers)
- Partner nations
- JapanUnited KingdomNigeria
In The Last Decade
Teruki Honma
118 papers receiving 3.5k citations
Teruki Honma's Hit Papers
Peers
Comparison fields: 5 of 145
- Computational Theory and Mathematics 689
- Toxicology 111
- Molecular Biology 1.7k
- Organic Chemistry 688
- Epidemiology 564
Countries citing papers authored by Teruki Honma
This map shows the geographic impact of Teruki Honma'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 Teruki Honma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Teruki Honma more than expected).
Fields of papers citing papers by Teruki Honma
This network shows the impact of papers produced by Teruki Honma. 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 Teruki Honma. The network helps show where Teruki Honma may publish in the future.
Co-authors
The 25 scholars most cited alongside Teruki Honma, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 123 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A small-molecule AdipoR agonist for type 2 diabetes and short life in obesity Hit paper breakdown → | 2013 | 610 |
| 2 | 2001 | 148 | |
| 3 | 2013 | 140 | |
| 4 | 2018 | 131 | |
| 5 | 2000 | 131 | |
| 6 | 1998 | 109 | |
| 7 | 1996 | 90 | |
| 8 | 2009 | 88 | |
| 9 | 2001 | 86 | |
| 10 | 2001 | 82 | |
| 11 | 2020 | 78 | |
| 12 | 2007 | 74 | |
| 13 | 2015 | 71 | |
| 14 | 2019 | 68 | |
| 15 | 2019 | 54 | |
| 16 | 1970 | 49 | |
| 17 | 2018 | 44 | |
| 18 | 2003 | 42 | |
| 19 | 2021 | 42 | |
| 20 | 2021 | 39 |
About Teruki Honma
Teruki Honma is a scholar working on Molecular Biology, Computational Theory and Mathematics, Organic Chemistry, Epidemiology and Materials Chemistry, having authored 123 papers that have together received 3.5k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (38 papers), Protein Structure and Dynamics (13 papers), Trypanosoma species research and implications (12 papers), Cancer therapeutics and mechanisms (8 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), Carbohydrate Chemistry and Synthesis (7 papers), Pharmacogenetics and Drug Metabolism (7 papers) and Enzyme Structure and Function (7 papers). The work is most often cited by research in Computational Theory and Mathematics (689 citations), Toxicology (111 citations), Molecular Biology (1.7k citations), Organic Chemistry (688 citations) and Epidemiology (564 citations). Teruki Honma has collaborated with scholars based in Japan, United Kingdom and Nigeria. Frequent co-authors include Shigeyuki Yokoyama, Tomohiro Sato, Akiko Tanaka, Hitomi Yuki, Mikako Shirouzu, Kaori Fukuzawa, Chiduru Watanabe, Hajime Morishima, Tetsuo Nagano and Kiyohiko Igarashi. Their work appears in journals such as Journal of Chemical Information and Modeling, Bioorganic & Medicinal Chemistry, Bioorganic & Medicinal Chemistry Letters, PLoS ONE and Journal of Medicinal 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.