Greg Vilk
Impact in
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- Protein Kinase Regulation and GTPase Signaling
- Cell death mechanisms and regulation
- PI3K/AKT/mTOR signaling in cancer
- Wnt/β-catenin signaling in development and cancer
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- Cancer-related Molecular Pathways
Papers in
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- Protein Kinase Regulation and GTPase Signaling 12
- Cell death mechanisms and regulation 5
- PI3K/AKT/mTOR signaling in cancer 3
- Signaling Pathways in Disease 2
- Surgery 6
- Pancreatic function and diabetes 5
- Co-authors
- David W. Litchfield (14 shared papers)Jacob P. Turowec (5 shared papers)Ronald B. Saulnier (3 shared papers)James S. Duncan (4 shared papers)Cunjie Zhang (3 shared papers)David Alvin Canton (3 shared papers)Shawn S.‐C. Li (3 shared papers)Rebecca St. Pierre (1 shared paper)
In The Last Decade
Greg Vilk
20 papers receiving 778 citations
Peers
Comparison fields: 5 of 68
- Molecular Biology 548
- Oncology 138
- Physiology 25
- Cell Biology 87
- Genetics 46
Countries citing papers authored by Greg Vilk
This map shows the geographic impact of Greg Vilk'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 Greg Vilk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Greg Vilk more than expected).
Fields of papers citing papers by Greg Vilk
This network shows the impact of papers produced by Greg Vilk. 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 Greg Vilk. The network helps show where Greg Vilk may publish in the future.
Co-authors
The 25 scholars most cited alongside Greg Vilk, 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 | 1999 | 91 | |
| 2 | 2011 | 78 | |
| 3 | 2009 | 76 | |
| 4 | 2002 | 69 | |
| 5 | 2003 | 59 | |
| 6 | 2011 | 58 | |
| 7 | 2010 | 57 | |
| 8 | 2008 | 51 | |
| 9 | 2001 | 43 | |
| 10 | 2013 | 38 | |
| 11 | 2001 | 34 | |
| 12 | 2005 | 27 | |
| 13 | 2010 | 22 | |
| 14 | 2011 | 22 | |
| 15 | 2012 | 20 | |
| 16 | 2001 | 13 | |
| 17 | 2010 | 12 | |
| 18 | 2009 | 10 | |
| 19 | 2011 | 9 | |
| 20 | 2008 | 1 |
About Greg Vilk
Greg Vilk is a scholar working on Molecular Biology, Surgery, Oncology, Endocrinology, Diabetes and Metabolism and Pharmacology, having authored 20 papers that have together received 790 indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (12 papers), Cell death mechanisms and regulation (5 papers), Pancreatic function and diabetes (5 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Cancer-related Molecular Pathways (3 papers), Cannabis and Cannabinoid Research (2 papers), Signaling Pathways in Disease (2 papers) and Enzyme Structure and Function (2 papers). The work is most often cited by research in Molecular Biology (548 citations), Oncology (138 citations), Physiology (25 citations), Cell Biology (87 citations) and Genetics (46 citations). Greg Vilk has collaborated with scholars based in Canada, Germany and Italy. Frequent co-authors include David W. Litchfield, Jacob P. Turowec, Ronald B. Saulnier, James S. Duncan, Cunjie Zhang, David Alvin Canton, Shawn S.‐C. Li, Rebecca St. Pierre, Gregory Brian Gloor and David J. White. Their work appears in journals such as Biochemical Journal, Biochemistry, The American Journal of Surgery, Journal of Cellular Biochemistry and Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics.
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.