Kiyosu Taniguchi
- Epidemiology top 5%
- Infectious Diseases top 5%
- Modeling and Simulation top 1%
- Public Health, Environmental and Occupational Health top 5%
- Molecular Biology
- Co-authors
- Nobuhiko OkabeShuji HashimotoMasaki NagaiYoshitaka MurakamiYasushi OhkusaMika ShigematsuTamie SugawaraYuki Tada
- Topics
- Influenza Virus Research Studies (42 papers)Respiratory viral infections research (29 papers)Data-Driven Disease Surveillance (28 papers)
- Journals
- BioinformaticsPLoS ONEPEDIATRICS
- Partner nations
- JapanUnited StatesGhana
In The Last Decade
Kiyosu Taniguchi
122 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 128
- Epidemiology 959
- Infectious Diseases 552
- Modeling and Simulation 301
- Public Health, Environmental and Occupational Health 273
- Molecular Biology 208
Countries citing papers authored by Kiyosu Taniguchi
This map shows the geographic impact of Kiyosu Taniguchi'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 Kiyosu Taniguchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kiyosu Taniguchi more than expected).
Fields of papers citing papers by Kiyosu Taniguchi
This network shows the impact of papers produced by Kiyosu Taniguchi. 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 Kiyosu Taniguchi. The network helps show where Kiyosu Taniguchi may publish in the future.
Co-authorship network of co-authors of Kiyosu Taniguchi
This figure shows the co-authorship network connecting the top 25 collaborators of Kiyosu Taniguchi. A scholar is included among the top collaborators of Kiyosu Taniguchi 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 Kiyosu Taniguchi. Kiyosu Taniguchi 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 | 1 | |
| 3 | 0 | |
| 4 | 7 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 10 | |
| 8 | 23 | |
| 9 | 2 | |
| 10 | 13 | |
| 11 | 29 | |
| 12 | 22 | |
| 13 | 4 | |
| 14 | 22 | |
| 15 | 4 | |
| 16 | The Development of a Schema for the Annotation of Terms in the Biocaster Disease Detecting/Tracking System. | 12 |
| 17 | Experimental surveillance using data on sales of over-the-counter medications--Japan, November 2003-April 2004. | 31 |
| 18 | 1 | |
| 19 | 0 | |
| 20 | 12 |
About Kiyosu Taniguchi
Kiyosu Taniguchi is a scholar working on Modeling and Simulation, Infectious Diseases and Epidemiology, having authored 133 papers that have together received 1.8k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (42 papers), Respiratory viral infections research (29 papers) and Data-Driven Disease Surveillance (28 papers). The work is most often cited by research in Modeling and Simulation (301 citations), Infectious Diseases (552 citations) and Epidemiology (959 citations). Kiyosu Taniguchi has collaborated with scholars based in Japan, United States and Ghana. Frequent co-authors include Nobuhiko Okabe, Shuji Hashimoto, Masaki Nagai, Yoshitaka Murakami, Yasushi Ohkusa, Mika Shigematsu, Tamie Sugawara, Yuki Tada, Yoshinori Yasui and Tsuguto Fujimoto. Their work appears in journals such as Bioinformatics, PLoS ONE and PEDIATRICS.
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.