Paris Vail
Impact in
- Oncology top 5%
- Pancreatic and Hepatic Oncology Research
- Cancer-related Molecular Pathways
- Cancer Immunotherapy and Biomarkers
- Cancer Cells and Metastasis
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
Papers in
- Oncology 11
- Pancreatic and Hepatic Oncology Research 6
- Cancer-related Molecular Pathways 5
- Cancer Cells and Metastasis 3
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- Cancer Genomics and Diagnostics 8
- Co-authors
- Erik S. Knudsen (12 shared papers)Agnieszka K. Witkiewicz (12 shared papers)Sejin Chung (4 shared papers)Vishnu Kumarasamy (4 shared papers)Uthra Balaji (2 shared papers)Ram Nambiar (3 shared papers)Jack Hutcheson (1 shared paper)Nadeem Riaz (1 shared paper)
- Journals
- Clinical Cancer Research (2 papers)Cell Reports (2 papers)Gut (2 papers)Modern Pathology (1 paper)Scientific Reports (1 paper)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Paris Vail
15 papers receiving 731 citations
Peers
Comparison fields: 5 of 61
- Oncology 506
- Cancer Research 203
- Pulmonary and Respiratory Medicine 239
- Immunology 100
- Genetics 50
Countries citing papers authored by Paris Vail
This map shows the geographic impact of Paris 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 Paris Vail with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paris Vail more than expected).
Fields of papers citing papers by Paris Vail
This network shows the impact of papers produced by Paris 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 Paris Vail. The network helps show where Paris Vail may publish in the future.
Co-authors
The 25 scholars most cited alongside Paris 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
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 143 | |
| 2 | 2022 | 78 | |
| 3 | 2018 | 76 | |
| 4 | 2017 | 66 | |
| 5 | 2020 | 59 | |
| 6 | 2017 | 58 | |
| 7 | 2019 | 46 | |
| 8 | 2020 | 42 | |
| 9 | 2017 | 39 | |
| 10 | 2015 | 36 | |
| 11 | 2018 | 26 | |
| 12 | 2015 | 25 | |
| 13 | 2017 | 22 | |
| 14 | 2020 | 18 | |
| 15 | 2019 | 5 |
About Paris Vail
Paris Vail is a scholar working on Oncology, Cancer Research, Pulmonary and Respiratory Medicine, Genetics and Molecular Biology, having authored 15 papers that have together received 739 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (8 papers), Pancreatic and Hepatic Oncology Research (6 papers), Advanced Breast Cancer Therapies (6 papers), Cancer-related Molecular Pathways (5 papers), Cancer Cells and Metastasis (3 papers), Genomics and Rare Diseases (3 papers), Chronic Lymphocytic Leukemia Research (2 papers) and BRCA gene mutations in cancer (2 papers). The work is most often cited by research in Oncology (506 citations), Cancer Research (203 citations), Pulmonary and Respiratory Medicine (239 citations), Immunology (100 citations) and Genetics (50 citations). Paris Vail has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Erik S. Knudsen, Agnieszka K. Witkiewicz, Sejin Chung, Vishnu Kumarasamy, Uthra Balaji, Ram Nambiar, Jack Hutcheson, Nadeem Riaz, Vladimir Makarov and Ihab W. Botros. Their work appears in journals such as Clinical Cancer Research, Cell Reports, Gut, Modern Pathology and Scientific Reports.
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.