Eiichiro Sando
Impact in
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies
- Parasitology top 10%
- Vector-borne infectious diseases
Papers in
-
- Viral Infections and Vectors 7
- Epidemiology 12
- Pneumonia and Respiratory Infections 9
- Respiratory viral infections research 6
- Pneumocystis jirovecii pneumonia detection and treatment 4
- Co-authors
- Motoi Suzuki (15 shared papers)Konosuke Morimoto (13 shared papers)Koya Ariyoshi (10 shared papers)Makito Yaegashi (10 shared papers)Ikkoh Yasuda (9 shared papers)Mayuko Saito (4 shared papers)Yura K Ko (4 shared papers)Hitoshi Oshitani (4 shared papers)
- Journals
- Emerging infectious diseases (4 papers)Vaccine (3 papers)BMC Pulmonary Medicine (2 papers)Journal of Antimicrobial Chemotherapy (1 paper)Frontiers in Pediatrics (1 paper)
- Partner nations
- JapanUnited StatesSwitzerland
In The Last Decade
Eiichiro Sando
26 papers receiving 375 citations
Peers
Comparison fields: 5 of 70
- Modeling and Simulation 116
- Parasitology 64
- Infectious Diseases 154
- Epidemiology 113
- Microbiology 18
Countries citing papers authored by Eiichiro Sando
This map shows the geographic impact of Eiichiro Sando'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 Eiichiro Sando with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eiichiro Sando more than expected).
Fields of papers citing papers by Eiichiro Sando
This network shows the impact of papers produced by Eiichiro Sando. 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 Eiichiro Sando. The network helps show where Eiichiro Sando may publish in the future.
Co-authors
The 25 scholars most cited alongside Eiichiro Sando, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 151 | |
| 2 | 2018 | 31 | |
| 3 | 2019 | 26 | |
| 4 | 2017 | 24 | |
| 5 | 2021 | 19 | |
| 6 | 2021 | 16 | |
| 7 | 2021 | 13 | |
| 8 | 2019 | 12 | |
| 9 | 2018 | 12 | |
| 10 | 2022 | 11 | |
| 11 | 2020 | 10 | |
| 12 | 2018 | 10 | |
| 13 | 2023 | 7 | |
| 14 | 2022 | 6 | |
| 15 | 2017 | 6 | |
| 16 | 2020 | 6 | |
| 17 | 2020 | 5 | |
| 18 | 2022 | 4 | |
| 19 | 2023 | 3 | |
| 20 | 2015 | 3 |
About Eiichiro Sando
Eiichiro Sando is a scholar working on Infectious Diseases, Epidemiology, Parasitology, Public Health, Environmental and Occupational Health and Modeling and Simulation, having authored 29 papers that have together received 383 indexed citations. Recurring topics across this work include Pneumonia and Respiratory Infections (9 papers), Vector-borne infectious diseases (9 papers), Viral Infections and Vectors (7 papers), Respiratory viral infections research (6 papers), Mosquito-borne diseases and control (6 papers), Pneumocystis jirovecii pneumonia detection and treatment (4 papers), COVID-19 epidemiological studies (4 papers) and Nosocomial Infections in ICU (3 papers). The work is most often cited by research in Modeling and Simulation (116 citations), Parasitology (64 citations), Infectious Diseases (154 citations), Epidemiology (113 citations) and Microbiology (18 citations). Eiichiro Sando has collaborated with scholars based in Japan, United States and Switzerland. Frequent co-authors include Motoi Suzuki, Konosuke Morimoto, Koya Ariyoshi, Makito Yaegashi, Ikkoh Yasuda, Mayuko Saito, Yura K Ko, Hitoshi Oshitani, Takeaki Imamura and Yuki Furuse. Their work appears in journals such as Emerging infectious diseases, Vaccine, BMC Pulmonary Medicine, Journal of Antimicrobial Chemotherapy and Frontiers in 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.