Eric Vail
Impact in
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- SARS-CoV-2 detection and testing
- Gastroenterology top 10%
- Gastrointestinal Tumor Research and Treatment
Papers in
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- Cancer Genomics and Diagnostics 3
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- SARS-CoV-2 and COVID-19 Research 4
- Co-authors
- Wenjuan Zhang (4 shared papers)Jasmine Plummer (3 shared papers)Stephanie S. Chen (2 shared papers)Brian D Davis (2 shared papers)John T. Fallon (4 shared papers)Guiqing Wang (3 shared papers)Xiaoyong Zheng (1 shared paper)Jonathan I. Epstein (1 shared paper)
- Journals
- JCO Precision Oncology (2 papers)Cancers (2 papers)Diagnostic Microbiology and Infectious Disease (1 paper)BMC Pulmonary Medicine (1 paper)Cardiovascular Pathology (1 paper)
- Partner nations
- United StatesFranceCanada
In The Last Decade
Eric Vail
33 papers receiving 583 citations
Peers
Comparison fields: 5 of 38
- Infectious Diseases 256
- Gastroenterology 29
- Parasitology 20
- Dermatology 14
- Modeling and Simulation 7
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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 275 | |
| 2 | 2015 | 38 | |
| 3 | 2022 | 34 | |
| 4 | 2015 | 25 | |
| 5 | 2020 | 25 | |
| 6 | 2015 | 24 | |
| 7 | 2023 | 18 | |
| 8 | 2021 | 16 | |
| 9 | 2023 | 16 | |
| 10 | 2020 | 14 | |
| 11 | 2022 | 14 | |
| 12 | 2021 | 12 | |
| 13 | 2020 | 10 | |
| 14 | 2023 | 10 | |
| 15 | 2021 | 9 | |
| 16 | 2022 | 9 | |
| 17 | 2016 | 7 | |
| 18 | 2020 | 6 | |
| 19 | 2022 | 5 | |
| 20 | 2021 | 4 |
About Eric Vail
Eric Vail is a scholar working on Cancer Research, Infectious Diseases, Oncology, Pulmonary and Respiratory Medicine and Epidemiology, having authored 37 papers that have together received 596 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (4 papers), Cancer Genomics and Diagnostics (3 papers), Lung Cancer Treatments and Mutations (2 papers), Respiratory viral infections research (2 papers), Cervical Cancer and HPV Research (1 paper), Cancer and Skin Lesions (1 paper), Vascular Tumors and Angiosarcomas (1 paper) and Cancer Immunotherapy and Biomarkers (1 paper). The work is most often cited by research in Infectious Diseases (256 citations), Gastroenterology (29 citations), Parasitology (20 citations), Dermatology (14 citations) and Modeling and Simulation (7 citations). Eric Vail has collaborated with scholars based in United States, France and Canada. Frequent co-authors include Wenjuan Zhang, Jasmine Plummer, Stephanie S. Chen, Brian D Davis, John T. Fallon, Guiqing Wang, Xiaoyong Zheng, Jonathan I. Epstein, Minghao Zhong and Saleh G. Heneidi. Their work appears in journals such as JCO Precision Oncology, Cancers, Diagnostic Microbiology and Infectious Disease, BMC Pulmonary Medicine and Cardiovascular Pathology.
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.