Mary E. Vail
Impact in
- Hepatology top 10%
- Liver physiology and pathology
- Pharmacology top 5%
- Drug-Induced Hepatotoxicity and Protection
Papers in
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- Angiogenesis and VEGF in Cancer 7
-
- Axon Guidance and Neuronal Signaling 8
- Co-authors
- Peter W. Janes (9 shared papers)Andrew M. Scott (9 shared papers)Robert H. Pierce (4 shared papers)Nelson Fausto (4 shared papers)Martin Lackmann (7 shared papers)Lakmali Atapattu (2 shared papers)Cynthia C.T. Sprenger (1 shared paper)Stephen R. Plymate (1 shared paper)
- Journals
- Cancers (2 papers)Molecular Pharmacology (2 papers)Oncogene (2 papers)Cancer Research (2 papers)Growth Factors (1 paper)
- Partner nations
- AustraliaUnited StatesBelgium
In The Last Decade
Mary E. Vail
19 papers receiving 589 citations
Peers
Comparison fields: 5 of 81
- Hepatology 82
- Pharmacology 80
- Cellular and Molecular Neuroscience 163
- Cell Biology 114
- Oncology 163
Countries citing papers authored by Mary E. Vail
This map shows the geographic impact of Mary E. 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 Mary E. Vail with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mary E. Vail more than expected).
Fields of papers citing papers by Mary E. Vail
This network shows the impact of papers produced by Mary E. 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 Mary E. Vail. The network helps show where Mary E. Vail may publish in the future.
Co-authors
The 25 scholars most cited alongside Mary E. 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 | 2001 | 85 | |
| 2 | 2014 | 67 | |
| 3 | 2002 | 66 | |
| 4 | 2002 | 55 | |
| 5 | 2010 | 55 | |
| 6 | 2014 | 53 | |
| 7 | 2020 | 41 | |
| 8 | Bcl-2 delays and alters hepatic carcinogenesis induced by transforming growth factor alpha. | 2001 | 35 |
| 9 | 2002 | 34 | |
| 10 | 2012 | 34 | |
| 11 | 2020 | 29 | |
| 12 | 2014 | 18 | |
| 13 | 2023 | 8 | |
| 14 | 2022 | 7 | |
| 15 | 2010 | 5 | |
| 16 | 2009 | 5 | |
| 17 | 2024 | 2 | |
| 18 | 2011 | 2 | |
| 19 | 2001 | 1 |
About Mary E. Vail
Mary E. Vail is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Oncology, Hepatology and Information Systems and Management, having authored 19 papers that have together received 602 indexed citations. Recurring topics across this work include Axon Guidance and Neuronal Signaling (8 papers), Angiogenesis and VEGF in Cancer (7 papers), Liver physiology and pathology (5 papers), Cancer-related Molecular Pathways (4 papers), Hippo pathway signaling and YAP/TAZ (3 papers), HER2/EGFR in Cancer Research (3 papers), Scientific Computing and Data Management (3 papers) and Cancer, Hypoxia, and Metabolism (2 papers). The work is most often cited by research in Hepatology (82 citations), Pharmacology (80 citations), Cellular and Molecular Neuroscience (163 citations), Cell Biology (114 citations) and Oncology (163 citations). Mary E. Vail has collaborated with scholars based in Australia, United States and Belgium. Frequent co-authors include Peter W. Janes, Andrew M. Scott, Robert H. Pierce, Nelson Fausto, Martin Lackmann, Lakmali Atapattu, Cynthia C.T. Sprenger, Stephen R. Plymate, K S Evans and N Fausto. Their work appears in journals such as Cancers, Molecular Pharmacology, Oncogene, Cancer Research and Growth Factors.
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.