David A. Quigley

6.0k total citations
63 papers, 2.1k citations indexed

About

David A. Quigley is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, David A. Quigley has authored 63 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 26 papers in Cancer Research and 23 papers in Pulmonary and Respiratory Medicine. Recurrent topics in David A. Quigley's work include Prostate Cancer Treatment and Research (20 papers), Cancer Genomics and Diagnostics (16 papers) and RNA Research and Splicing (7 papers). David A. Quigley is often cited by papers focused on Prostate Cancer Treatment and Research (20 papers), Cancer Genomics and Diagnostics (16 papers) and RNA Research and Splicing (7 papers). David A. Quigley collaborates with scholars based in United States, Canada and Norway. David A. Quigley's co-authors include Allan Balmain, Vessela N. Kristensen, Felix Y. Feng, Alan Ashworth, Minh D. To, Jonathan Chou, Troy M. Robinson, Kuang‐Yu Jen, Reyno Delrosario and Anne‐Lise Børresen‐Dale and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

David A. Quigley

58 papers receiving 2.1k citations

Peers

David A. Quigley
Lars Hanker Germany
Yanis Boumber United States
Kari B. Wisinski United States
Sebastian Oltean United Kingdom
Pradip De United States
Raffael Kurek Germany
Jeffrey Kiefer United States
Yan Mao China
Bisrat G. Debeb United States
Bin Shi China
Lars Hanker Germany
David A. Quigley
Citations per year, relative to David A. Quigley David A. Quigley (= 1×) peers Lars Hanker

Countries citing papers authored by David A. Quigley

Since Specialization
Citations

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

Fields of papers citing papers by David A. Quigley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David A. Quigley

This figure shows the co-authorship network connecting the top 25 collaborators of David A. Quigley. A scholar is included among the top collaborators of David A. Quigley 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 A. Quigley. David A. Quigley 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.
Aggarwal, Rahul, Jacqueline Vuky, David James VanderWeele, et al.. (2025). Phase I, First-in-Human Study of FOR46 (FG-3246), an Immune-Modulating Antibody-Drug Conjugate Targeting CD46, in Patients With Metastatic Castration-Resistant Prostate Cancer. Journal of Clinical Oncology. 43(15). 1824–1834. 5 indexed citations
2.
Zhang, Meng, Martin Sjöström, Xiekui Cui, et al.. (2024). Integrative analysis of ultra-deep RNA-seq reveals alternative promoter usage as a mechanism of activating oncogenic programmes during prostate cancer progression. Nature Cell Biology. 26(7). 1176–1186. 2 indexed citations
3.
Shrestha, Raunak, Lisa N. Chesner, Meng Zhang, et al.. (2024). An Atlas of Accessible Chromatin in Advanced Prostate Cancer Reveals the Epigenetic Evolution during Tumor Progression. Cancer Research. 84(18). 3086–3100. 7 indexed citations
4.
Dang, Ha X., et al.. (2024). Single cell-transcriptomic analysis informs the lncRNA landscape in metastatic castration resistant prostate cancer. npj Genomic Medicine. 9(1). 14–14. 2 indexed citations
5.
Chesner, Lisa N., Julie N. Graff, Fanny Polesso, et al.. (2023). Abstract B041: AR suppresses MHC Class I expression and T-cell response in prostate cancer. Cancer Research. 83(11_Supplement). B041–B041. 2 indexed citations
6.
O’Leary, Patrick C., Huadong Chen, Benjamin J. Polacco, et al.. (2022). Resistance to ATR Inhibitors Is Mediated by Loss of the Nonsense-Mediated Decay Factor UPF2. Cancer Research. 82(21). 3950–3961. 17 indexed citations
7.
Rydzewski, Nicholas R., Meng Zhang, Arian Lundberg, et al.. (2022). Intrinsic Molecular Subtypes of Metastatic Castration-Resistant Prostate Cancer. Clinical Cancer Research. 28(24). 5396–5404. 9 indexed citations
8.
Forés-Martos, Jaume, Vita Fedele, Sten Cornelissen, et al.. (2021). Circadian PERformance in breast cancer: a germline and somatic genetic study of PER3VNTR polymorphisms and gene co-expression. npj Breast Cancer. 7(1). 118–118. 6 indexed citations
9.
Li, Yingming, Rendong Yang, Christine Henzler, et al.. (2020). Diverse AR Gene Rearrangements Mediate Resistance to Androgen Receptor Inhibitors in Metastatic Prostate Cancer. Clinical Cancer Research. 26(8). 1965–1976. 62 indexed citations
10.
Chou, Jonathan, David A. Quigley, Troy M. Robinson, Felix Y. Feng, & Alan Ashworth. (2020). Transcription-Associated Cyclin-Dependent Kinases as Targets and Biomarkers for Cancer Therapy. Cancer Discovery. 10(3). 351–370. 214 indexed citations
11.
Eteleeb, Abdallah M., David A. Quigley, Shuang G. Zhao, et al.. (2020). SV-HotSpot: detection and visualization of hotspots targeted by structural variants associated with gene expression. Scientific Reports. 10(1). 15890–15890. 2 indexed citations
12.
Aggarwal, Rahul, David A. Quigley, Jiaoti Huang, et al.. (2019). Whole-Genome and Transcriptional Analysis of Treatment-Emergent Small-Cell Neuroendocrine Prostate Cancer Demonstrates Intraclass Heterogeneity. Molecular Cancer Research. 17(6). 1235–1240. 40 indexed citations
13.
Chen, William S., Mohammed Alshalalfa, Shuang G. Zhao, et al.. (2019). Novel RB1-Loss Transcriptomic Signature Is Associated with Poor Clinical Outcomes across Cancer Types. Clinical Cancer Research. 25(14). 4290–4299. 34 indexed citations
14.
Miyahira, Andrea K., Adam Sharp, Leigh Ellis, et al.. (2019). Prostate cancer research: The next generation; report from the 2019 Coffey‐Holden Prostate Cancer Academy Meeting. The Prostate. 80(2). 113–132. 30 indexed citations
15.
Lu, Eric, George Thomas, Yiyi Chen, et al.. (2018). DNA Repair Gene Alterations and PARP Inhibitor Response in Patients With Metastatic Castration-Resistant Prostate Cancer. Journal of the National Comprehensive Cancer Network. 16(8). 933–937. 8 indexed citations
16.
Chen, Justin, Christopher S. Hackett, Shile Zhang, et al.. (2015). The Genetics of Splicing in Neuroblastoma. Cancer Discovery. 5(4). 380–395. 13 indexed citations
17.
18.
Silwal‐Pandit, Laxmi, Hans Kristian Moen Vollan, Suet‐Feung Chin, et al.. (2014). TP53 Mutation Spectrum in Breast Cancer Is Subtype Specific and Has Distinct Prognostic Relevance. Clinical Cancer Research. 20(13). 3569–3580. 215 indexed citations
19.
Quigley, David A., Laxmi Silwal‐Pandit, Ruth Dannenfelser, et al.. (2014). Lymphocyte Invasion in IC10/Basal-Like Breast Tumors Is Associated with Wild-Type TP53. Molecular Cancer Research. 13(3). 493–501. 47 indexed citations
20.
Connolly, Erin C., Elise F. Saunier, David A. Quigley, et al.. (2011). Outgrowth of Drug-Resistant Carcinomas Expressing Markers of Tumor Aggression after Long-term TβRI/II Kinase Inhibition with LY2109761. Cancer Research. 71(6). 2339–2349. 67 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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