Hajime Ando
Impact in
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
- Health top 10%
- Vaccine Coverage and Hesitancy
Papers in
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- COVID-19 and Mental Health 16
-
- Workplace Health and Well-being 11
- Co-authors
- Yoshihisa Fujino (28 shared papers)Seiichiro Tateishi (25 shared papers)Tomohisa Nagata (18 shared papers)Kazunori Ikegami (27 shared papers)Ayako Hino (14 shared papers)Shinya Matsuda (12 shared papers)Akira Ogami (25 shared papers)Mayumi Tsuji (9 shared papers)
- Journals
- Industrial Health (5 papers)Journal of Occupational and Environmental Medicine (5 papers)Frontiers in Public Health (2 papers)Environmental Health and Preventive Medicine (2 papers)Scientific Reports (1 paper)
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Hajime Ando
44 papers receiving 223 citations
Peers
Comparison fields: 5 of 75
- Modeling and Simulation 35
- Health 61
- Clinical Psychology 48
- Medical Laboratory Technology 3
- Infectious Diseases 36
Countries citing papers authored by Hajime Ando
This map shows the geographic impact of Hajime Ando'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 Hajime Ando with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hajime Ando more than expected).
Fields of papers citing papers by Hajime Ando
This network shows the impact of papers produced by Hajime Ando. 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 Hajime Ando. The network helps show where Hajime Ando may publish in the future.
Co-authors
The 25 scholars most cited alongside Hajime Ando, 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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 57 | |
| 2 | 2021 | 17 | |
| 3 | 2022 | 11 | |
| 4 | 2021 | 10 | |
| 5 | 2021 | 9 | |
| 6 | 2022 | 8 | |
| 7 | 2020 | 7 | |
| 8 | 2016 | 6 | |
| 9 | 2020 | 6 | |
| 10 | 2022 | 5 | |
| 11 | 2014 | 5 | |
| 12 | 2019 | 5 | |
| 13 | 2022 | 5 | |
| 14 | 2022 | 5 | |
| 15 | 2019 | 5 | |
| 16 | 2022 | 4 | |
| 17 | 2022 | 4 | |
| 18 | 2022 | 4 | |
| 19 | 2021 | 4 | |
| 20 | 2023 | 4 |
About Hajime Ando
Hajime Ando is a scholar working on Clinical Psychology, General Health Professions, Pulmonary and Respiratory Medicine, Economics and Econometrics and Sociology and Political Science, having authored 50 papers that have together received 233 indexed citations. Recurring topics across this work include COVID-19 and Mental Health (16 papers), Workplace Health and Well-being (11 papers), COVID-19 Pandemic Impacts (11 papers), Infection Control and Ventilation (9 papers), Occupational exposure and asthma (5 papers), COVID-19 epidemiological studies (5 papers), Work-Family Balance Challenges (4 papers) and Vaccine Coverage and Hesitancy (4 papers). The work is most often cited by research in Modeling and Simulation (35 citations), Health (61 citations), Clinical Psychology (48 citations), Medical Laboratory Technology (3 citations) and Infectious Diseases (36 citations). Hajime Ando has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Yoshihisa Fujino, Seiichiro Tateishi, Tomohisa Nagata, Kazunori Ikegami, Ayako Hino, Shinya Matsuda, Akira Ogami, Mayumi Tsuji, Tomohiro Ishimaru and Mayumi Tsuji. Their work appears in journals such as Industrial Health, Journal of Occupational and Environmental Medicine, Frontiers in Public Health, Environmental Health and Preventive Medicine and Scientific Reports.
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.