Atsushi Suenaga
- Molecular Biology top 10%
- Materials Chemistry
- Infectious Diseases top 10%
- Biomedical Engineering
- Computational Theory and Mathematics top 5%
- Co-authors
- Makoto TaijiNoriaki OkimotoNoriyuki FutatsugiTetsu NarumiIchiro YamatoYousuke OhnoChristophe DanelonSatoshi Okabe
- Topics
- Protein Structure and Dynamics (14 papers)Enzyme Structure and Function (10 papers)Monoclonal and Polyclonal Antibodies Research (8 papers)
- Journals
- Journal of the American Chemical SocietyPhysical Review LettersJournal of Biological Chemistry
- Partner nations
- JapanUnited StatesItaly
In The Last Decade
Atsushi Suenaga
48 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 115
- Molecular Biology 749
- Materials Chemistry 169
- Infectious Diseases 167
- Biomedical Engineering 156
- Computational Theory and Mathematics 123
Countries citing papers authored by Atsushi Suenaga
This map shows the geographic impact of Atsushi Suenaga'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 Atsushi Suenaga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Atsushi Suenaga more than expected).
Fields of papers citing papers by Atsushi Suenaga
This network shows the impact of papers produced by Atsushi Suenaga. 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 Atsushi Suenaga. The network helps show where Atsushi Suenaga may publish in the future.
Co-authorship network of co-authors of Atsushi Suenaga
This figure shows the co-authorship network connecting the top 25 collaborators of Atsushi Suenaga. A scholar is included among the top collaborators of Atsushi Suenaga based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Atsushi Suenaga. Atsushi Suenaga is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 7 | |
| 3 | 7 | |
| 4 | 18 | |
| 5 | 40 | |
| 6 | 3 | |
| 7 | 5 | |
| 8 | 20 | |
| 9 | 16 | |
| 10 | 137 | |
| 11 | 2 | |
| 12 | 14 | |
| 13 | 43 | |
| 14 | 79 | |
| 15 | 52 | |
| 16 | 1 | |
| 17 | 18 | |
| 18 | 26 | |
| 19 | 1 | |
| 20 | 19 |
About Atsushi Suenaga
Atsushi Suenaga is a scholar working on Molecular Biology, Immunology and Allergy and Radiology, Nuclear Medicine and Imaging, having authored 48 papers that have together received 1.3k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (14 papers), Enzyme Structure and Function (10 papers) and Monoclonal and Polyclonal Antibodies Research (8 papers). The work is most often cited by research in Molecular Biology (749 citations), Infectious Diseases (167 citations) and Molecular Medicine (43 citations). Atsushi Suenaga has collaborated with scholars based in Japan, United States and Italy. Frequent co-authors include Makoto Taiji, Noriaki Okimoto, Noriyuki Futatsugi, Tetsu Narumi, Ichiro Yamato, Yousuke Ohno, Christophe Danelon, Satoshi Okabe, Takeshi Yoshimura and Takayuki Miura. Their work appears in journals such as Journal of the American Chemical Society, Physical Review Letters and Journal of Biological 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.