David Vaught
Impact in
- Oncology top 10%
- HER2/EGFR in Cancer Research
- Cancer Cells and Metastasis
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- Axon Guidance and Neuronal Signaling
Papers in
-
- Angiogenesis and VEGF in Cancer 4
- Bone Metabolism and Diseases 2
- Oncology 7
- HER2/EGFR in Cancer Research 4
- Cancer Cells and Metastasis 3
- Co-authors
- Dana M. Brantley‐Sieders (6 shared papers)Jin Chen (6 shared papers)Rebecca S. Cook (8 shared papers)Carlos L. Arteaga (3 shared papers)Jamie C. Stanford (5 shared papers)Donna J. Hicks (5 shared papers)Guanglei Zhuang (2 shared papers)Justin M. Balko (3 shared papers)
- Journals
- Agricultural History (4 papers)Cancer Research (3 papers)Breast Cancer Research (2 papers)The American Historical Review (2 papers)Oncogene (1 paper)
- Partner nations
- United StatesUnited KingdomItaly
In The Last Decade
David Vaught
24 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 108
- Oncology 366
- Cellular and Molecular Neuroscience 197
- Cancer Research 148
- Immunology 186
- Cell Biology 122
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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 206 | |
| 2 | 2009 | 178 | |
| 3 | 2014 | 118 | |
| 4 | 2012 | 108 | |
| 5 | 2008 | 73 | |
| 6 | 2009 | 56 | |
| 7 | 2002 | 55 | |
| 8 | 2003 | 42 | |
| 9 | 2022 | 35 | |
| 10 | 2015 | 35 | |
| 11 | 2010 | 33 | |
| 12 | 2009 | 31 | |
| 13 | 2017 | 24 | |
| 14 | 2010 | 17 | |
| 15 | 2015 | 13 | |
| 16 | 2015 | 8 | |
| 17 | 2003 | 8 | |
| 18 | 2002 | 5 | |
| 19 | 2021 | 4 | |
| 20 | 1995 | 3 |
About David Vaught
David Vaught is a scholar working on Molecular Biology, Oncology, Cellular and Molecular Neuroscience, Immunology and Physiology, having authored 26 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), Phagocytosis and Immune Regulation (4 papers), Immune cells in cancer (4 papers), HER2/EGFR in Cancer Research (4 papers), Erythrocyte Function and Pathophysiology (3 papers), Cancer Cells and Metastasis (3 papers) and Bone Metabolism and Diseases (2 papers). The work is most often cited by research in Oncology (366 citations), Cellular and Molecular Neuroscience (197 citations), Cancer Research (148 citations), Immunology (186 citations) and Cell Biology (122 citations). David Vaught has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Dana M. Brantley‐Sieders, Jin Chen, Rebecca S. Cook, Carlos L. Arteaga, Jamie C. Stanford, Donna J. Hicks, Guanglei Zhuang, Justin M. Balko, Jian Yu and Sam Wells. Their work appears in journals such as Agricultural History, Cancer Research, Breast Cancer Research, The American Historical Review and Oncogene.
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.