David Vaught
Impact in
- Oncology top 10%
- HER2/EGFR in Cancer Research
- Cancer Cells and Metastasis
Papers in
- Oncology 8
- HER2/EGFR in Cancer Research 4
- Cancer Cells and Metastasis 3
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- Axon Guidance and Neuronal Signaling 5
- Co-authors
- Dana M. Brantley‐Sieders (6 shared papers)Jin Chen (6 shared papers)Rebecca S. Cook (6 shared papers)Carlos L. Arteaga (3 shared papers)Jamie C. Stanford (3 shared papers)Donna J. Hicks (5 shared papers)Justin Micah Balko (3 shared papers)Guanglei Zhuang (2 shared papers)
- Journals
- Agricultural History (3 papers)Cancer Research (3 papers)Breast Cancer Research (2 papers)Oncogene (1 paper)Developmental Dynamics (1 paper)
- Partner nations
- United StatesUnited KingdomPeru
In The Last Decade
David Vaught
21 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 104
- Oncology 373
- Cancer Research 156
- Cellular and Molecular Neuroscience 204
- Immunology 186
- Cell Biology 125
Countries citing papers authored by David Vaught
This map shows the geographic impact of David Vaught'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 David Vaught with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Vaught more than expected).
Fields of papers citing papers by David Vaught
This network shows the impact of papers produced by David Vaught. 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 David Vaught. The network helps show where David Vaught may publish in the future.
Co-authors
The 25 scholars most cited alongside David Vaught, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 222 | |
| 2 | 2009 | 180 | |
| 3 | 2014 | 123 | |
| 4 | 2012 | 108 | |
| 5 | 2008 | 73 | |
| 6 | 2009 | 58 | |
| 7 | 2002 | 54 | |
| 8 | 2003 | 42 | |
| 9 | 2022 | 41 | |
| 10 | 2015 | 36 | |
| 11 | 2010 | 36 | |
| 12 | 2009 | 35 | |
| 13 | 2017 | 24 | |
| 14 | 2010 | 18 | |
| 15 | 2015 | 14 | |
| 16 | 2003 | 8 | |
| 17 | 2015 | 5 | |
| 18 | 2002 | 5 | |
| 19 | 2021 | 4 | |
| 20 | 2002 | 2 |
About David Vaught
David Vaught is a scholar working on Oncology, Cellular and Molecular Neuroscience, Molecular Biology, Cell Biology and Immunology, having authored 22 papers that have together received 1.1k indexed citations. Recurring topics across this work include Axon Guidance and Neuronal Signaling (5 papers), Angiogenesis and VEGF in Cancer (4 papers), HER2/EGFR in Cancer Research (4 papers), Cancer Cells and Metastasis (3 papers), Phagocytosis and Immune Regulation (2 papers), Immune cells in cancer (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Bone Metabolism and Diseases (2 papers). The work is most often cited by research in Oncology (373 citations), Cancer Research (156 citations), Cellular and Molecular Neuroscience (204 citations), Immunology (186 citations) and Cell Biology (125 citations). David Vaught has collaborated with scholars based in United States, United Kingdom and Peru. Frequent co-authors include Dana M. Brantley‐Sieders, Jin Chen, Rebecca S. Cook, Carlos L. Arteaga, Jamie C. Stanford, Donna J. Hicks, Justin Micah Balko, Guanglei Zhuang, Christian D. Young and Rebecca S. Muraoka-Cook. Their work appears in journals such as Agricultural History, Cancer Research, Breast Cancer Research, Oncogene and Developmental Dynamics.
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.