Eric Vail
Impact in
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- SARS-CoV-2 detection and testing
- Viral gastroenteritis research and epidemiology
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- Gastrointestinal Tumor Research and Treatment
Papers in
- Oncology 11
- Lung Cancer Research Studies 3
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- Cancer Genomics and Diagnostics 6
- Co-authors
- Wenjuan Zhang (4 shared papers)Jasmine Plummer (3 shared papers)Brian D Davis (2 shared papers)Stephanie S. Chen (2 shared papers)John T. Fallon (4 shared papers)Guiqing Wang (3 shared papers)Esther Chaewon Yoon (2 shared papers)Ming Zhou (1 shared paper)
- Journals
- JCO Precision Oncology (2 papers)Cancers (2 papers)Journal of Clinical Microbiology (1 paper)Journal of the National Comprehensive Cancer Network (1 paper)Laboratory Investigation (1 paper)
- Partner nations
- United StatesPhilippinesSaudi Arabia
In The Last Decade
Eric Vail
33 papers receiving 561 citations
Peers
Comparison fields: 5 of 69
- Infectious Diseases 296
- Gastroenterology 29
- Modeling and Simulation 25
- Animal Science and Zoology 42
- Parasitology 22
Countries citing papers authored by Eric Vail
This map shows the geographic impact of Eric Vail'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 Eric Vail with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Vail more than expected).
Fields of papers citing papers by Eric Vail
This network shows the impact of papers produced by Eric Vail. 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 Eric Vail. The network helps show where Eric Vail may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric Vail, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 257 | |
| 2 | 2015 | 38 | |
| 3 | 2022 | 32 | |
| 4 | 2015 | 25 | |
| 5 | 2020 | 25 | |
| 6 | 2015 | 24 | |
| 7 | 2023 | 18 | |
| 8 | 2023 | 16 | |
| 9 | 2020 | 14 | |
| 10 | 2021 | 14 | |
| 11 | 2022 | 14 | |
| 12 | 2021 | 13 | |
| 13 | 2020 | 10 | |
| 14 | 2021 | 9 | |
| 15 | 2023 | 9 | |
| 16 | 2022 | 9 | |
| 17 | 2016 | 7 | |
| 18 | 2020 | 6 | |
| 19 | 2022 | 5 | |
| 20 | 2022 | 4 |
About Eric Vail
Eric Vail is a scholar working on Oncology, Cancer Research, Infectious Diseases, Pulmonary and Respiratory Medicine and Epidemiology, having authored 36 papers that have together received 573 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (6 papers), SARS-CoV-2 and COVID-19 Research (5 papers), Lung Cancer Treatments and Mutations (5 papers), Lung Cancer Research Studies (3 papers), COVID-19 Clinical Research Studies (2 papers), Neuroblastoma Research and Treatments (2 papers), Cancer and Skin Lesions (2 papers) and Respiratory viral infections research (2 papers). The work is most often cited by research in Infectious Diseases (296 citations), Gastroenterology (29 citations), Modeling and Simulation (25 citations), Animal Science and Zoology (42 citations) and Parasitology (22 citations). Eric Vail has collaborated with scholars based in United States, Philippines and Saudi Arabia. Frequent co-authors include Wenjuan Zhang, Jasmine Plummer, Brian D Davis, Stephanie S. Chen, John T. Fallon, Guiqing Wang, Esther Chaewon Yoon, Ming Zhou, Xiaoyong Zheng and Jonathan I. Epstein. Their work appears in journals such as JCO Precision Oncology, Cancers, Journal of Clinical Microbiology, Journal of the National Comprehensive Cancer Network and Laboratory Investigation.
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.