Mitchell D. Ramuta
Impact in
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- SARS-CoV-2 detection and testing
- COVID-19 Clinical Research Studies
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
Papers in
-
- SARS-CoV-2 detection and testing 6
- SARS-CoV-2 and COVID-19 Research 3
-
- Animal Virus Infections Studies 2
- Coccidia and coccidiosis research 2
- Co-authors
- David H. O’Connor (6 shared papers)Adam K. Wheatley (1 shared paper)Miles P. Davenport (1 shared paper)Arnold Reynaldi (1 shared paper)Deborah Cromer (1 shared paper)David S. Khoury (1 shared paper)Stephen John Kent (1 shared paper)Kanta Subbarao (1 shared paper)
- Journals
- Poultry Science (3 papers)Nature Communications (2 papers)Science Translational Medicine (1 paper)Journal of Biomolecular Techniques JBT (1 paper)JAMA Network Open (1 paper)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Mitchell D. Ramuta
16 papers receiving 337 citations
Peers
Comparison fields: 5 of 60
- Infectious Diseases 187
- Modeling and Simulation 34
- Animal Science and Zoology 43
- Epidemiology 80
- Health 10
Countries citing papers authored by Mitchell D. Ramuta
This map shows the geographic impact of Mitchell D. Ramuta'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 Mitchell D. Ramuta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mitchell D. Ramuta more than expected).
Fields of papers citing papers by Mitchell D. Ramuta
This network shows the impact of papers produced by Mitchell D. Ramuta. 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 Mitchell D. Ramuta. The network helps show where Mitchell D. Ramuta may publish in the future.
Co-authors
The 25 scholars most cited alongside Mitchell D. Ramuta, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 93 | |
| 2 | 2020 | 43 | |
| 3 | 2022 | 43 | |
| 4 | 2020 | 36 | |
| 5 | 2020 | 30 | |
| 6 | 2022 | 27 | |
| 7 | 2019 | 23 | |
| 8 | 2023 | 13 | |
| 9 | 2021 | 12 | |
| 10 | 2019 | 8 | |
| 11 | 2023 | 7 | |
| 12 | 2019 | 2 | |
| 13 | 2023 | 2 | |
| 14 | 2023 | 2 | |
| 15 | 2024 | 2 | |
| 16 | 2024 | 1 |
About Mitchell D. Ramuta
Mitchell D. Ramuta is a scholar working on Infectious Diseases, Animal Science and Zoology, Epidemiology, Modeling and Simulation and Small Animals, having authored 16 papers that have together received 344 indexed citations. Recurring topics across this work include Respiratory viral infections research (6 papers), SARS-CoV-2 detection and testing (6 papers), Influenza Virus Research Studies (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers), COVID-19 epidemiological studies (2 papers), Animal Virus Infections Studies (2 papers), Coccidia and coccidiosis research (2 papers) and Bacteriophages and microbial interactions (2 papers). The work is most often cited by research in Infectious Diseases (187 citations), Modeling and Simulation (34 citations), Animal Science and Zoology (43 citations), Epidemiology (80 citations) and Health (10 citations). Mitchell D. Ramuta has collaborated with scholars based in United States, China and Germany. Frequent co-authors include David H. O’Connor, Adam K. Wheatley, Miles P. Davenport, Arnold Reynaldi, Deborah Cromer, David S. Khoury, Stephen John Kent, Kanta Subbarao, Molly A. Accola and Dawn M. Dudley. Their work appears in journals such as Poultry Science, Nature Communications, Science Translational Medicine, Journal of Biomolecular Techniques JBT and JAMA Network Open.
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.