Mari Terada
Impact in
- Neurology top 5%
- Long-Term Effects of COVID-19
- Infectious Diseases top 5%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
Papers in
-
- COVID-19 Clinical Research Studies 26
- SARS-CoV-2 and COVID-19 Research 10
- SARS-CoV-2 detection and testing 3
- Neurology 15
- Long-Term Effects of COVID-19 15
- Co-authors
- Norio Ohmagari (30 shared papers)Shinya Tsuzuki (15 shared papers)Kayoko Hayakawa (18 shared papers)Sho Saito (18 shared papers)Shinichiro Morioka (14 shared papers)Satoshi Kutsuna (14 shared papers)Yusuke Miyazato (9 shared papers)Keiko Tanaka (4 shared papers)
- Journals
- International Journal of Infectious Diseases (2 papers)Journal of Infection and Chemotherapy (10 papers)Infectious Disease Modelling (1 paper)Scientific Reports (1 paper)Gerontology (1 paper)
- Partner nations
- JapanBelgiumUnited States
In The Last Decade
Mari Terada
29 papers receiving 416 citations
Peers
Comparison fields: 5 of 74
- Neurology 247
- Infectious Diseases 252
- Critical Care and Intensive Care Medicine 37
- Clinical Psychology 106
- Modeling and Simulation 20
Countries citing papers authored by Mari Terada
This map shows the geographic impact of Mari Terada'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 Mari Terada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mari Terada more than expected).
Fields of papers citing papers by Mari Terada
This network shows the impact of papers produced by Mari Terada. 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 Mari Terada. The network helps show where Mari Terada may publish in the future.
Co-authors
The 25 scholars most cited alongside Mari Terada, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 101 | |
| 2 | 2021 | 67 | |
| 3 | 2022 | 38 | |
| 4 | 2022 | 36 | |
| 5 | 2022 | 24 | |
| 6 | 2023 | 23 | |
| 7 | 2022 | 22 | |
| 8 | 2022 | 16 | |
| 9 | 2021 | 14 | |
| 10 | 2021 | 11 | |
| 11 | 2007 | 8 | |
| 12 | 2021 | 7 | |
| 13 | 2021 | 7 | |
| 14 | 2022 | 7 | |
| 15 | 2023 | 6 | |
| 16 | 2022 | 4 | |
| 17 | 2021 | 4 | |
| 18 | 2021 | 4 | |
| 19 | 2021 | 4 | |
| 20 | 2022 | 4 |
About Mari Terada
Mari Terada is a scholar working on Infectious Diseases, Neurology, Oncology, Clinical Psychology and Epidemiology, having authored 33 papers that have together received 423 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (26 papers), Long-Term Effects of COVID-19 (15 papers), SARS-CoV-2 and COVID-19 Research (10 papers), COVID-19 and healthcare impacts (7 papers), COVID-19 and Mental Health (6 papers), SARS-CoV-2 detection and testing (3 papers), Sepsis Diagnosis and Treatment (3 papers) and COVID-19 diagnosis using AI (2 papers). The work is most often cited by research in Neurology (247 citations), Infectious Diseases (252 citations), Critical Care and Intensive Care Medicine (37 citations), Clinical Psychology (106 citations) and Modeling and Simulation (20 citations). Mari Terada has collaborated with scholars based in Japan, Belgium and United States. Frequent co-authors include Norio Ohmagari, Shinya Tsuzuki, Kayoko Hayakawa, Sho Saito, Shinichiro Morioka, Satoshi Kutsuna, Yusuke Miyazato, Keiko Tanaka, Michiyo Suzuki and Yusuke Asai. Their work appears in journals such as International Journal of Infectious Diseases, Journal of Infection and Chemotherapy, Infectious Disease Modelling, Scientific Reports and Gerontology.
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.