Mary Vu
Impact in
- Cancer Research top 5%
- Cancer Genomics and Diagnostics
- Oncology top 5%
- Cancer Cells and Metastasis
- Pancreatic and Hepatic Oncology Research
Papers in
- Oncology 4
- Pancreatic and Hepatic Oncology Research 2
- Peptidase Inhibition and Analysis 1
-
- TGF-β signaling in diseases 3
- Co-authors
- Lalage M. Wakefield (3 shared papers)Miriam R. Anver (3 shared papers)Binwu Tang (3 shared papers)Steven J. Santner (2 shared papers)Fred R. Miller (2 shared papers)Trever G. Bivona (1 shared paper)Katherine Van Loon (1 shared paper)Jim Leng (1 shared paper)
- Journals
- Journal of Clinical Investigation (2 papers)Catheterization and Cardiovascular Interventions (1 paper)CHEST Journal (1 paper)Cytotherapy (1 paper)Cancer Discovery (1 paper)
- Partner nations
- United States
In The Last Decade
Mary Vu
8 papers receiving 918 citations
Peers
Comparison fields: 5 of 65
- Cancer Research 282
- Oncology 434
- Molecular Biology 570
- Immunology and Allergy 36
- Pathology and Forensic Medicine 102
Countries citing papers authored by Mary Vu
This map shows the geographic impact of Mary Vu'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 Vu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mary Vu more than expected).
Fields of papers citing papers by Mary Vu
This network shows the impact of papers produced by Mary Vu. 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 Vu. The network helps show where Mary Vu may publish in the future.
Co-authors
The 25 scholars most cited alongside Mary Vu, 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 | 2003 | 316 | |
| 2 | 2003 | 292 | |
| 3 | 2015 | 214 | |
| 4 | 2007 | 81 | |
| 5 | 2016 | 19 | |
| 6 | 2000 | 8 | |
| 7 | 2013 | 2 | |
| 8 | 2016 | 1 | |
| 9 | Seeds From Fresh Conventional Tomatoes Germinate Faster than Dried or Organic Seeds | 2017 | 0 |
About Mary Vu
Mary Vu is a scholar working on Oncology, Molecular Biology, Pathology and Forensic Medicine, Surgery and Cardiology and Cardiovascular Medicine, having authored 9 papers that have together received 933 indexed citations. Recurring topics across this work include TGF-β signaling in diseases (3 papers), Pancreatic and Hepatic Oncology Research (2 papers), Genetic factors in colorectal cancer (2 papers), 2D Materials and Applications (1 paper), Agriculture Sustainability and Environmental Impact (1 paper), Acute Myocardial Infarction Research (1 paper), Peptidase Inhibition and Analysis (1 paper) and Coronary Interventions and Diagnostics (1 paper). The work is most often cited by research in Cancer Research (282 citations), Oncology (434 citations), Molecular Biology (570 citations), Immunology and Allergy (36 citations) and Pathology and Forensic Medicine (102 citations). Mary Vu has collaborated with scholars based in United States. Frequent co-authors include Lalage M. Wakefield, Miriam R. Anver, Binwu Tang, Steven J. Santner, Fred R. Miller, Trever G. Bivona, Katherine Van Loon, Jim Leng, Zhen Wang and Andrew Hendifar. Their work appears in journals such as Journal of Clinical Investigation, Catheterization and Cardiovascular Interventions, CHEST Journal, Cytotherapy and Cancer Discovery.
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.