Mary E. Vail
Impact in
- Hepatology top 10%
- Liver physiology and pathology
- Pharmacology top 5%
- Drug-Induced Hepatotoxicity and Protection
Papers in
-
- Axon Guidance and Neuronal Signaling 8
-
- Liver physiology and pathology 5
- Co-authors
- Peter W. Janes (9 shared papers)Andrew Scott (9 shared papers)Robert Hamilton Pierce (4 shared papers)Nelson Fausto (4 shared papers)Martin Lackmann (7 shared papers)Stephen R. Plymate (1 shared paper)Cynthia C.T. Sprenger (1 shared paper)Lakmali Atapattu (2 shared papers)
- Journals
- Molecular Pharmacology (2 papers)Cancer Research (2 papers)Cancers (2 papers)Oncogene (2 papers)Pharmaceuticals (1 paper)
- Partner nations
- AustraliaUnited StatesBelgium
In The Last Decade
Mary E. Vail
20 papers receiving 687 citations
Peers
Comparison fields: 5 of 83
- Hepatology 79
- Pharmacology 81
- Cellular and Molecular Neuroscience 167
- Oncology 185
- Cell Biology 103
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 | 89 | |
| 2 | 2014 | 73 | |
| 3 | 2002 | 69 | |
| 4 | 2016 | 63 | |
| 5 | 2014 | 57 | |
| 6 | 2002 | 56 | |
| 7 | 2010 | 56 | |
| 8 | 2020 | 44 | |
| 9 | Bcl-2 delays and alters hepatic carcinogenesis induced by transforming growth factor alpha. | 2001 | 39 |
| 10 | 2002 | 39 | |
| 11 | 2012 | 37 | |
| 12 | 2020 | 32 | |
| 13 | 2014 | 19 | |
| 14 | 2022 | 10 | |
| 15 | 2023 | 8 | |
| 16 | 2010 | 6 | |
| 17 | 2009 | 5 | |
| 18 | 2024 | 4 | |
| 19 | 2011 | 2 | |
| 20 | 2001 | 1 |
About Mary E. Vail
Mary E. Vail is a scholar working on Cellular and Molecular Neuroscience, Hepatology, Oncology, Information Systems and Management and Molecular Biology, having authored 20 papers that have together received 709 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), HER2/EGFR in Cancer Research (4 papers), Cancer-related Molecular Pathways (4 papers), Hippo pathway signaling and YAP/TAZ (3 papers), Scientific Computing and Data Management (3 papers) and Distributed and Parallel Computing Systems (2 papers). The work is most often cited by research in Hepatology (79 citations), Pharmacology (81 citations), Cellular and Molecular Neuroscience (167 citations), Oncology (185 citations) and Cell Biology (103 citations). Mary E. Vail has collaborated with scholars based in Australia, United States and Belgium. Frequent co-authors include Peter W. Janes, Andrew Scott, Robert Hamilton Pierce, Nelson Fausto, Martin Lackmann, Stephen R. Plymate, Cynthia C.T. Sprenger, Lakmali Atapattu, Nelson Fausto and Rae H. Farnsworth. Their work appears in journals such as Molecular Pharmacology, Cancer Research, Cancers, Oncogene and Pharmaceuticals.
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.