Hidetoshi Kono
Impact in
- Molecular Biology top 2%
- RNA and protein synthesis mechanisms
- Protein Structure and Dynamics
- Genomics and Chromatin Dynamics
- DNA and Nucleic Acid Chemistry
- Machine Learning in Bioinformatics
- RNA Research and Splicing
- Structural Biology top 10%
Papers in
-
- RNA and protein synthesis mechanisms 53
- Protein Structure and Dynamics 43
- DNA and Nucleic Acid Chemistry 38
- Genomics and Chromatin Dynamics 32
- RNA Research and Splicing 9
- Chemical Synthesis and Analysis 6
- Co-authors
- Akinori SaraiJeffery G. SavenM. Michael GromihaHatsuho UedairaMotohisa OobatakeSamuel SelvarajWilliam F. DeGradoShun Sakuraba
- Journals
- Nucleic Acids Research (7 papers)Journal of Molecular Biology (7 papers)Proteins Structure Function and Bioinformatics (7 papers)Biophysical Journal (6 papers)Scientific Reports (4 papers)
- Partner nations
- JapanUnited StatesIndia
In The Last Decade
Hidetoshi Kono
104 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 121
- Molecular Biology 2.5k
- Structural Biology 25
- Materials Chemistry 582
- Computational Theory and Mathematics 140
- Microbiology 45
Countries citing papers authored by Hidetoshi Kono
This map shows the geographic impact of Hidetoshi Kono'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 Hidetoshi Kono with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hidetoshi Kono more than expected).
Fields of papers citing papers by Hidetoshi Kono
This network shows the impact of papers produced by Hidetoshi Kono. 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 Hidetoshi Kono. The network helps show where Hidetoshi Kono may publish in the future.
Co-authors
The 25 scholars most cited alongside Hidetoshi Kono, 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 | 0 | |
| 3 | 2024 | 2 | |
| 4 | 2023 | 3 | |
| 5 | 2023 | 4 | |
| 6 | 2023 | 4 | |
| 7 | 2022 | 6 | |
| 8 | 2021 | 6 | |
| 9 | 2020 | 103 | |
| 10 | 2016 | 49 | |
| 11 | 2015 | 1 | |
| 12 | 2015 | 2 | |
| 13 | 2009 | 14 | |
| 14 | 2009 | 29 | |
| 15 | 2007 | 20 | |
| 16 | 2006 | 29 | |
| 17 | 2004 | 88 | |
| 18 | 2004 | 102 | |
| 19 | Statistical Theory for Protein Combinatorial Libraries | 2001 | 20 |
| 20 | 1999 | 63 |
About Hidetoshi Kono
Hidetoshi Kono is a scholar working on Structural Biology, Molecular Biology, Radiation, Materials Chemistry and Microbiology, having authored 107 papers that have together received 2.9k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (53 papers), Protein Structure and Dynamics (43 papers), DNA and Nucleic Acid Chemistry (38 papers), Genomics and Chromatin Dynamics (32 papers), Enzyme Structure and Function (21 papers), RNA Research and Splicing (9 papers), Chemical Synthesis and Analysis (6 papers) and Bacteriophages and microbial interactions (5 papers). The work is most often cited by research in Molecular Biology (2.5k citations), Structural Biology (25 citations), Materials Chemistry (582 citations), Computational Theory and Mathematics (140 citations) and Microbiology (45 citations). Hidetoshi Kono has collaborated with scholars based in Japan, United States and India. Frequent co-authors include Akinori Sarai, Jeffery G. Saven, M. Michael Gromiha, Hatsuho Uedaira, Motohisa Oobatake, Samuel Selvaraj, William F. DeGrado, Shun Sakuraba, Zhenhai Li and Junta Doi. Their work appears in journals such as Nucleic Acids Research, Journal of Molecular Biology, Proteins Structure Function and Bioinformatics, Biophysical Journal and Scientific Reports.
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.