Yasutoshi Kido
- Molecular Biology
- Epidemiology top 10%
- Infectious Diseases top 10%
- Surgery
- Plant Science top 10%
- Co-authors
- Kiyoshi KitaYoshinobu MotokiNaoki YamamotoKimitoshi SakamotoHiroshi NakashimaM. NeushulAnthony L. MooreYoshio Yamaoka
- Topics
- Trypanosoma species research and implications (20 papers)SARS-CoV-2 and COVID-19 Research (18 papers)COVID-19 Clinical Research Studies (13 papers)
- Cited by
- ParasitologyVirologyAquatic Science
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryNature Communications
- Partner nations
- JapanUnited KingdomIndonesia
In The Last Decade
Yasutoshi Kido
100 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 116
- Molecular Biology 646
- Epidemiology 322
- Infectious Diseases 232
- Surgery 214
- Plant Science 196
Countries citing papers authored by Yasutoshi Kido
This map shows the geographic impact of Yasutoshi Kido'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 Yasutoshi Kido with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yasutoshi Kido more than expected).
Fields of papers citing papers by Yasutoshi Kido
This network shows the impact of papers produced by Yasutoshi Kido. 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 Yasutoshi Kido. The network helps show where Yasutoshi Kido may publish in the future.
Co-authorship network of co-authors of Yasutoshi Kido
This figure shows the co-authorship network connecting the top 25 collaborators of Yasutoshi Kido. A scholar is included among the top collaborators of Yasutoshi Kido 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 Yasutoshi Kido. Yasutoshi Kido is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 6 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 0 | |
| 7 | 5 | |
| 8 | 2 | |
| 9 | 2 | |
| 10 | 19 | |
| 11 | 1 | |
| 12 | 5 | |
| 13 | 8 | |
| 14 | 4 | |
| 15 | 1 | |
| 16 | 39 | |
| 17 | 12 | |
| 18 | 80 | |
| 19 | 22 | |
| 20 | [Radioimmunoassay of estradiol using 125I-estradiol (author's transl)]. | 1 |
About Yasutoshi Kido
Yasutoshi Kido is a scholar working on Parasitology, Infectious Diseases and Epidemiology, having authored 111 papers that have together received 1.7k indexed citations. Recurring topics across this work include Trypanosoma species research and implications (20 papers), SARS-CoV-2 and COVID-19 Research (18 papers) and COVID-19 Clinical Research Studies (13 papers). The work is most often cited by research in Parasitology (151 citations), Virology (74 citations) and Aquatic Science (94 citations). Yasutoshi Kido has collaborated with scholars based in Japan, United Kingdom and Indonesia. Frequent co-authors include Kiyoshi Kita, Yoshinobu Motoki, Naoki Yamamoto, Kimitoshi Sakamoto, Hiroshi Nakashima, M. Neushul, Anthony L. Moore, Yoshio Yamaoka, D.K. Inaoka and Nobuyuki Kobayashi. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.
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.