Mitchell D. Ramuta
Impact in
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- SARS-CoV-2 and COVID-19 Research
- SARS-CoV-2 detection and testing
- COVID-19 Clinical Research Studies
- Viral gastroenteritis research and epidemiology
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- Animal Nutrition and Physiology
- Coccidia and coccidiosis research
Papers in
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- SARS-CoV-2 detection and testing 3
- SARS-CoV-2 and COVID-19 Research 2
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- Coccidia and coccidiosis research 2
- Animal Nutrition and Physiology 2
- Animal Virus Infections Studies 2
- Co-authors
- David H. O’Connor (6 shared papers)Arnold Reynaldi (1 shared paper)David S. Khoury (1 shared paper)Stephen J. Kent (1 shared paper)Deborah Cromer (1 shared paper)Adam K. Wheatley (1 shared paper)Kanta Subbarao (1 shared paper)Miles P. Davenport (1 shared paper)
- Journals
- Poultry Science (3 papers)Nature reviews. Immunology (1 paper)JAMA Network Open (1 paper)Scientific Reports (1 paper)Virology (1 paper)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Mitchell D. Ramuta
10 papers receiving 149 citations
Peers
Comparison fields: 5 of 40
- Infectious Diseases 109
- Animal Science and Zoology 35
- Modeling and Simulation 10
- Health 9
- Small Animals 7
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 | 81 | |
| 2 | 2020 | 28 | |
| 3 | 2019 | 22 | |
| 4 | 2023 | 7 | |
| 5 | 2019 | 5 | |
| 6 | 2023 | 3 | |
| 7 | 2023 | 2 | |
| 8 | 2023 | 2 | |
| 9 | 2019 | 2 | |
| 10 | 2024 | 1 |
About Mitchell D. Ramuta
Mitchell D. Ramuta is a scholar working on Infectious Diseases, Animal Science and Zoology, Epidemiology, Genetics and Small Animals, having authored 10 papers that have together received 153 indexed citations. Recurring topics across this work include SARS-CoV-2 detection and testing (3 papers), Respiratory viral infections research (3 papers), Coccidia and coccidiosis research (2 papers), Animal Nutrition and Physiology (2 papers), Animal Virus Infections Studies (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Bacteriophages and microbial interactions (2 papers) and Virus-based gene therapy research (2 papers). The work is most often cited by research in Infectious Diseases (109 citations), Animal Science and Zoology (35 citations), Modeling and Simulation (10 citations), Health (9 citations) and Small Animals (7 citations). Mitchell D. Ramuta has collaborated with scholars based in United States, China and Germany. Frequent co-authors include David H. O’Connor, Arnold Reynaldi, David S. Khoury, Stephen J. Kent, Deborah Cromer, Adam K. Wheatley, Kanta Subbarao, Miles P. Davenport, Daniel E. Bütz and Andrea M. Weiler. Their work appears in journals such as Poultry Science, Nature reviews. Immunology, JAMA Network Open, Scientific Reports and Virology.
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.