David Vaught

1.4k total citations
23 papers, 987 citations indexed

About

David Vaught is a scholar working on Molecular Biology, Oncology and Cellular and Molecular Neuroscience. According to data from OpenAlex, David Vaught has authored 23 papers receiving a total of 987 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 8 papers in Oncology and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in David Vaught's work include Axon Guidance and Neuronal Signaling (5 papers), HER2/EGFR in Cancer Research (5 papers) and Angiogenesis and VEGF in Cancer (4 papers). David Vaught is often cited by papers focused on Axon Guidance and Neuronal Signaling (5 papers), HER2/EGFR in Cancer Research (5 papers) and Angiogenesis and VEGF in Cancer (4 papers). David Vaught collaborates with scholars based in United States, United Kingdom and Italy. David Vaught's co-authors include Dana M. Brantley‐Sieders, Jin Chen, Rebecca S. Cook, Carlos L. Arteaga, Jamie C. Stanford, Donna J. Hicks, Justin M. Balko, Guanglei Zhuang, Christian D. Young and Rebecca S. Muraoka-Cook and has published in prestigious journals such as Journal of Clinical Investigation, Nature Medicine and Cancer Research.

In The Last Decade

David Vaught

22 papers receiving 969 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
David Vaught United States 14 474 409 195 182 161 23 987
Jaine K. Blayney United Kingdom 14 502 1.1× 292 0.7× 69 0.4× 90 0.5× 137 0.9× 31 800
Sarah Meadows United States 10 860 1.8× 307 0.8× 95 0.5× 409 2.2× 66 0.4× 23 1.7k
Rebecca S. Muraoka-Cook United States 14 888 1.9× 680 1.7× 248 1.3× 87 0.5× 152 0.9× 16 1.3k
A.‐C. Andres Switzerland 16 681 1.4× 477 1.2× 106 0.5× 263 1.4× 107 0.7× 19 1.2k
Susan C. Evans United States 19 739 1.6× 265 0.6× 49 0.3× 67 0.4× 117 0.7× 28 1.1k
Yehenew M. Agazie United States 19 1.0k 2.2× 281 0.7× 41 0.2× 419 2.3× 102 0.6× 31 1.2k
Laufey T. Ámundadóttir United States 21 1.0k 2.2× 641 1.6× 94 0.5× 96 0.5× 287 1.8× 47 1.7k
Gaia Cantelli United Kingdom 11 419 0.9× 235 0.6× 36 0.2× 132 0.7× 136 0.8× 12 845
S. Sean Tu United States 9 714 1.5× 188 0.5× 35 0.2× 137 0.8× 76 0.5× 63 1.1k
Katti Jessen United States 12 1.3k 2.7× 389 1.0× 27 0.1× 184 1.0× 184 1.1× 27 1.6k

Countries citing papers authored by David Vaught

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of David Vaught

This figure shows the co-authorship network connecting the top 25 collaborators of David Vaught. A scholar is included among the top collaborators of David Vaught based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David Vaught. David Vaught is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Jagsi, Reshma, Ginny Mason, Beth Overmoyer, et al.. (2022). Inflammatory breast cancer defined: proposed common diagnostic criteria to guide treatment and research. Breast Cancer Research and Treatment. 192(2). 235–243. 31 indexed citations
2.
Vaught, David, Alyssa R. Merkel, Conor C. Lynch, et al.. (2021). EphA2 Is a Clinically Relevant Target for Breast Cancer Bone Metastatic Disease. JBMR Plus. 5(4). e10465–e10465. 4 indexed citations
3.
Williams, Michelle M., David Vaught, Meghan M. Joly, et al.. (2017). ErbB3 drives mammary epithelial survival and differentiation during pregnancy and lactation. Breast Cancer Research. 19(1). 105–105. 23 indexed citations
4.
Morrison, Meghan M., Michelle M. Williams, David Vaught, et al.. (2015). Decreased LRIG1 in fulvestrant-treated luminal breast cancer cells permits ErbB3 upregulation and increased growth. Oncogene. 35(9). 1143–1152. 13 indexed citations
5.
Stanford, Jamie C., Christian D. Young, Donna J. Hicks, et al.. (2014). Efferocytosis produces a prometastatic landscape during postpartum mammary gland involution. Journal of Clinical Investigation. 124(11). 4737–4752. 113 indexed citations
6.
Vaught, David, Jamie C. Stanford, Christian D. Young, et al.. (2012). HER3 Is Required for HER2-Induced Preneoplastic Changes to the Breast Epithelium and Tumor Formation. Cancer Research. 72(10). 2672–2682. 104 indexed citations
7.
Balko, Justin M., Rebecca S. Cook, David Vaught, et al.. (2012). Profiling of residual breast cancers after neoadjuvant chemotherapy identifies DUSP4 deficiency as a mechanism of drug resistance. Nature Medicine. 18(7). 1052–1059. 197 indexed citations
8.
Townsend, Todd A., David Vaught, Daniel M. DeLaughter, et al.. (2010). Regulation of heart valve morphogenesis by Eph receptor ligand, ephrin‐A1. Developmental Dynamics. 239(12). 3226–3234. 33 indexed citations
9.
Min, Yongfen, Xiubao Ren, David Vaught, et al.. (2010). Tie2 Signaling Regulates Osteoclastogenesis and Osteolytic Bone Invasion of Breast Cancer. Cancer Research. 70(7). 2819–2828. 17 indexed citations
10.
Zhuang, Guanglei, Dana M. Brantley‐Sieders, David Vaught, et al.. (2009). Elevation of Receptor Tyrosine Kinase EphA2 Mediates Resistance to Trastuzumab Therapy. Cancer Research. 70(1). 299–308. 170 indexed citations
11.
Vaught, David, Jin Chen, & Dana M. Brantley‐Sieders. (2009). Regulation of Mammary Gland Branching Morphogenesis by EphA2 Receptor Tyrosine Kinase. Molecular Biology of the Cell. 20(10). 2572–2581. 54 indexed citations
12.
Brantley‐Sieders, Dana M., Guanglei Zhuang, David Vaught, et al.. (2009). Host Deficiency in Vav2/3 Guanine Nucleotide Exchange Factors Impairs Tumor Growth, Survival, and Angiogenesis In vivo. Molecular Cancer Research. 7(5). 615–623. 31 indexed citations
13.
Vaught, David, Dana M. Brantley‐Sieders, & Jin Chen. (2008). Eph receptors in breast cancer: roles in tumor promotion and tumor suppression. Breast Cancer Research. 10(6). 217–217. 73 indexed citations
14.
Vaught, David. (2003). Every Farm A Factory: The Industrial Ideal in American Agriculture. Agricultural History. 77(4). 640–641.
15.
Vaught, David & Greg Hall. (2003). Harvest Wobblies: The Industrial Workers of the World and Agricultural Laborers in the American West, 1905-1930. Western Historical Quarterly. 34(1). 94–94. 8 indexed citations
16.
Vaught, David. (2002). American Agriculture in the Twentieth Century: How It Flourished and What It Cost. Agricultural History. 76(4). 742–744. 45 indexed citations
17.
Vaught, David. (2002). The Agrarian Roots of Pragmatism. Agricultural History. 76(1). 107–108. 2 indexed citations
18.
19.
Stoll, Steven & David Vaught. (2001). Cultivating California: Growers, Specialty Crops, and Labor, 1875-1920. The American Historical Review. 106(4). 1374–1374. 1 indexed citations
20.
Vaught, David, et al.. (1995). USCG RESPONSE EQUIPMENT INTEGRATED LOGISTICS SYSTEM. International Oil Spill Conference Proceedings. 1995(1). 903–903. 3 indexed citations

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.

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