David Waugh

6.7k total citations · 1 hit paper
90 papers, 5.0k citations indexed

About

David Waugh is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, David Waugh has authored 90 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Molecular Biology, 28 papers in Oncology and 28 papers in Cancer Research. Recurrent topics in David Waugh's work include Prostate Cancer Treatment and Research (16 papers), Chemokine receptors and signaling (14 papers) and Receptor Mechanisms and Signaling (14 papers). David Waugh is often cited by papers focused on Prostate Cancer Treatment and Research (16 papers), Chemokine receptors and signaling (14 papers) and Receptor Mechanisms and Signaling (14 papers). David Waugh collaborates with scholars based in United Kingdom, United States and Australia. David Waugh's co-authors include Catherine Wilson, Patrick G. Johnston, Pamela Maxwell, A Hill, Suzanne McFarlane, J. Michael Conlon, Angela Seaton, Dianne M. Perez, Joe M. O’Sullivan and Manuel Salto‐Tellez and has published in prestigious journals such as Journal of Biological Chemistry, Nature Medicine and Journal of Clinical Oncology.

In The Last Decade

David Waugh

87 papers receiving 4.9k citations

Hit Papers

The Interleukin-8 Pathway in Cancer 2008 2026 2014 2020 2008 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Waugh United Kingdom 33 2.1k 2.0k 1.3k 914 672 90 5.0k
Ramesh K. Ganju United States 50 2.7k 1.3× 2.1k 1.0× 1.9k 1.5× 813 0.9× 322 0.5× 127 6.6k
Bernd Baumann Germany 39 3.1k 1.5× 1.5k 0.8× 1.2k 0.9× 1.7k 1.9× 260 0.4× 84 5.7k
Xin Hong China 43 2.6k 1.2× 1.9k 1.0× 2.0k 1.6× 942 1.0× 459 0.7× 142 6.2k
Vincent Castronovo Belgium 49 4.2k 2.0× 1.6k 0.8× 1.6k 1.3× 995 1.1× 489 0.7× 117 6.7k
Kathleen Kelly United States 44 3.6k 1.7× 1.2k 0.6× 907 0.7× 894 1.0× 684 1.0× 88 5.9k
Stéphane Garcia France 36 1.9k 0.9× 1.3k 0.7× 422 0.3× 858 0.9× 477 0.7× 87 4.4k
Carl J. Kozlosky United States 18 3.1k 1.5× 2.0k 1.0× 2.1k 1.7× 1.2k 1.3× 258 0.4× 20 6.8k
Beverly J. Castner United States 13 2.5k 1.2× 1.8k 0.9× 1.3k 1.0× 1.2k 1.3× 211 0.3× 18 5.8k
Frédéric Hollande Australia 37 1.9k 0.9× 1.5k 0.8× 678 0.5× 732 0.8× 365 0.5× 97 4.1k
Jianjun Shen United States 45 4.4k 2.1× 1.4k 0.7× 610 0.5× 1.3k 1.4× 635 0.9× 151 6.6k

Countries citing papers authored by David Waugh

Since Specialization
Citations

This map shows the geographic impact of David Waugh'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 Waugh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Waugh more than expected).

Fields of papers citing papers by David Waugh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Waugh. 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 Waugh. The network helps show where David Waugh may publish in the future.

Co-authorship network of co-authors of David Waugh

This figure shows the co-authorship network connecting the top 25 collaborators of David Waugh. A scholar is included among the top collaborators of David Waugh 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 Waugh. David Waugh 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.
Savi, Flávia Medeiros, Jennifer H. Gunter, Shahrouz Amini, et al.. (2024). Humanized In Vivo Bone Tissue Engineering: In Vitro Preculture Conditions Control the Structural, Cellular, and Matrix Composition of Humanized Bone Organs. Advanced Healthcare Materials. 14(2). e2401939–e2401939. 6 indexed citations
2.
Ravichandran, Akhilandeshwari, Christoph Meinert, David Waugh, et al.. (2024). ECM-mimicking hydrogel models of human adipose tissue identify deregulated lipid metabolism in the prostate cancer-adipocyte crosstalk under antiandrogen therapy. Materials Today Bio. 30. 101424–101424. 2 indexed citations
3.
Savage, Kienan I., Paul G. O’Reilly, Philip D. Dunne, et al.. (2019). ACE: A Workbench Using Evolutionary Genetic Algorithms for Analyzing Association in TCGA. Cancer Research. 79(8). 2072–2075. 6 indexed citations
4.
McCann, Christopher, Nyree Crawford, Joanna Majkut, et al.. (2018). Cytoplasmic FLIP(S) and nuclear FLIP(L) mediate resistance of castrate-resistant prostate cancer to apoptosis induced by IAP antagonists. Cell Death and Disease. 9(11). 1081–1081. 12 indexed citations
5.
Dunne, Philip D., Darragh G. McArt, Conor A. Bradley, et al.. (2016). Challenging the Cancer Molecular Stratification Dogma: Intratumoral Heterogeneity Undermines Consensus Molecular Subtypes and Potential Diagnostic Value in Colorectal Cancer. Clinical Cancer Research. 22(16). 4095–4104. 103 indexed citations
6.
Maxwell, Pamela, Chee Wee Ong, Kelly M. Redmond, et al.. (2016). PTEN deficiency promotes macrophage infiltration and hypersensitivity of prostate cancer to IAP antagonist/radiation combination therapy. Oncotarget. 7(7). 7885–7898. 32 indexed citations
7.
McArt, Darragh G., Ken Mills, Mark Catherwood, et al.. (2013). Validation of Next Generation Sequencing Technologies in Comparison to Current Diagnostic Gold Standards for BRAF, EGFR and KRAS Mutational Analysis. PLoS ONE. 8(7). e69604–e69604. 85 indexed citations
8.
Crawford, Nyree, Caitriona Holohan, Joanna Majkut, et al.. (2013). SAHA overcomes FLIP-mediated inhibition of SMAC mimetic-induced apoptosis in mesothelioma. Cell Death and Disease. 4(7). e733–e733. 31 indexed citations
9.
Maxwell, Pamela, Roberta Mazzucchelli, Rodolfo Montironi, et al.. (2012). Elevation of c-FLIP in Castrate-Resistant Prostate Cancer Antagonizes Therapeutic Response to Androgen Receptor–Targeted Therapy. Clinical Cancer Research. 18(14). 3822–3833. 51 indexed citations
10.
Byrne, Niall M., et al.. (2012). Androgen deprivation results in time‐dependent hypoxia in LNCaP prostate tumours: Informed scheduling of the bioreductive drug AQ4N improves treatment response. International Journal of Cancer. 132(6). 1323–1332. 37 indexed citations
11.
Valentine, Andrea, Martin O’Rourke, Anita Yakkundi, et al.. (2011). FKBPL and Peptide Derivatives: Novel Biological Agents That Inhibit Angiogenesis by a CD44-Dependent Mechanism. Clinical Cancer Research. 17(5). 1044–1056. 44 indexed citations
12.
Seaton, Angela, P Maxwell, A Hill, et al.. (2009). Inhibition of constitutive and cxc-chemokine-induced NF-κB activity potentiates ansamycin-based HSP90-inhibitor cytotoxicity in castrate-resistant prostate cancer cells. British Journal of Cancer. 101(9). 1620–1629. 10 indexed citations
13.
Waugh, David & Catherine Wilson. (2008). The Interleukin-8 Pathway in Cancer. Clinical Cancer Research. 14(21). 6735–6741. 1701 indexed citations breakdown →
14.
Wilson, Catherine, Timothy R. Wilson, Patrick Johnston, Daniel B. Longley, & David Waugh. (2007). Interleukin-8/CXCR2 signaling plays an important role in conferring resistance of prostate cancer cells to chemotherapy. Molecular Cancer Therapeutics. 6. 2 indexed citations
15.
Maxwell, P, Ryan S. Gallagher, Angela Seaton, et al.. (2007). HIF-1 and NF-κB-mediated upregulation of CXCR1 and CXCR2 expression promotes cell survival in hypoxic prostate cancer cells. Oncogene. 26(52). 7333–7345. 169 indexed citations
16.
Seaton, Angela, et al.. (2006). CXCR2/NF-kappaB/Bcl-2-survivin signalling pathway promotes resistance to oxaliplatin in metastatic prostate cancer cells. Cancer Research. 66. 880–880. 2 indexed citations
17.
Hill, A, et al.. (2003). CD44 Expression on prostate cancer cells correlates with adhesion to bone marrow endothelial cells.. Clinical Cancer Research. 9(16). 1 indexed citations
18.
Zuscik, Michael J., Scott A. Sands, Sean Ross, et al.. (2000). Overexpression of the α1B-adrenergic receptor causes apoptotic neurodegeneration: Multiple system atrophy. Nature Medicine. 6(12). 1388–1394. 104 indexed citations
19.
McCune, Dan F., Stephanie E. Edelmann, Ginell R. Post, et al.. (2000). Regulation of the Cellular Localization and Signaling Properties of the α1B- and α1D-Adrenoceptors by Agonists and Inverse Agonists. Molecular Pharmacology. 57(4). 659–666. 90 indexed citations
20.
Saha, Shubhayu, David Waugh, Peipei Zhao, Peter W. Abel, & David Smith. (1998). Role of conformational constraints of position 7 of the disulphide bridge of h‐α‐CGRP derivatives in their agonist versus antagonist properties. Journal of Peptide Research. 52(2). 112–120. 13 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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