Motoi Suzuki
- Epidemiology top 2%
- Infectious Diseases top 2%
- Modeling and Simulation top 0.5%
- Public Health, Environmental and Occupational Health top 5%
- Pulmonary and Respiratory Medicine top 10%
- Co-authors
- Koya AriyoshiKonosuke MorimotoLay‐Myint YoshidaVũ Đình ThiểmHideki YanaiWolf‐Peter SchmidtĐặng Đức AnhLe Huu Tho
- Topics
- Respiratory viral infections research (36 papers)COVID-19 epidemiological studies (33 papers)Pneumonia and Respiratory Infections (33 papers)
- Journals
- Proceedings of the National Academy of SciencesSHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- JapanVietnamUnited Kingdom
In The Last Decade
Motoi Suzuki
139 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 147
- Epidemiology 1.3k
- Infectious Diseases 913
- Modeling and Simulation 481
- Public Health, Environmental and Occupational Health 479
- Pulmonary and Respiratory Medicine 297
Countries citing papers authored by Motoi Suzuki
This map shows the geographic impact of Motoi Suzuki'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 Motoi Suzuki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Motoi Suzuki more than expected).
Fields of papers citing papers by Motoi Suzuki
This network shows the impact of papers produced by Motoi Suzuki. 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 Motoi Suzuki. The network helps show where Motoi Suzuki may publish in the future.
Co-authorship network of co-authors of Motoi Suzuki
This figure shows the co-authorship network connecting the top 25 collaborators of Motoi Suzuki. A scholar is included among the top collaborators of Motoi Suzuki 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 Motoi Suzuki. Motoi Suzuki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 3 | |
| 8 | 0 | |
| 9 | 2 | |
| 10 | 9 | |
| 11 | 14 | |
| 12 | 4 | |
| 13 | 0 | |
| 14 | 12 | |
| 15 | 10 | |
| 16 | 2 | |
| 17 | 46 | |
| 18 | QUBO solver for combinatorial optimization problems with constraints | 6 |
| 19 | Supporting Fair Trade : Cultural Anthropological Study and Critique | 0 |
| 20 | Labor Saving Technology for Planting Chinese Yams Using a Seed Tuber Planter (Part 2) | 1 |
About Motoi Suzuki
Motoi Suzuki is a scholar working on Modeling and Simulation, Infectious Diseases and Health, having authored 157 papers that have together received 3.0k indexed citations. Recurring topics across this work include Respiratory viral infections research (36 papers), COVID-19 epidemiological studies (33 papers) and Pneumonia and Respiratory Infections (33 papers). The work is most often cited by research in Modeling and Simulation (481 citations), Infectious Diseases (913 citations) and Parasitology (255 citations). Motoi Suzuki has collaborated with scholars based in Japan, Vietnam and United Kingdom. Frequent co-authors include Koya Ariyoshi, Konosuke Morimoto, Lay‐Myint Yoshida, Vũ Đình Thiểm, Hideki Yanai, Wolf‐Peter Schmidt, Đặng Đức Anh, Le Huu Tho, Makito Yaegashi and Masahiro Aoshima. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.
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.