David S. Quinn

709 total citations
8 papers, 268 citations indexed

About

David S. Quinn is a scholar working on Oncology, Immunology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, David S. Quinn has authored 8 papers receiving a total of 268 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Oncology, 4 papers in Immunology and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in David S. Quinn's work include Cancer Immunotherapy and Biomarkers (3 papers), Immune cells in cancer (3 papers) and Cancer-related Molecular Pathways (2 papers). David S. Quinn is often cited by papers focused on Cancer Immunotherapy and Biomarkers (3 papers), Immune cells in cancer (3 papers) and Cancer-related Molecular Pathways (2 papers). David S. Quinn collaborates with scholars based in United States, Switzerland and Spain. David S. Quinn's co-authors include Chun-Yen Tsao, Sampa Santra, Hua‐Xin Liao, James Theiler, Barbara K. Felber, James Szinger, Robert Parks, Ruijin Zhang, Angela Carville and Will Fischer and has published in prestigious journals such as Nature Medicine, Journal of Clinical Oncology and Cancer Research.

In The Last Decade

David S. Quinn

8 papers receiving 261 citations

Peers

David S. Quinn

VIROL

IMMUN

ONCOL

EPIDE

Sultan Abdul-Jawad United Kingdom

Rachel Kelly Beach United States

Daniel T. Claiborne United States

Fiorella Rossi United States

P. Chikoti United Kingdom

Jiae Kim United States

Esther D. Quakkelaar Netherlands

Justin Taft United States

On Ho United States

Marie‐Ève Blais United Kingdom

Sultan Abdul-Jawad United Kingdom

David S. Quinn

123 ×0.9

VIROL

119 ×0.9

165 ×1.3

IMMUN

72 ×1.1

ONCOL

35 ×0.6

EPIDE

Citations per year, relative to David S. Quinn David S. Quinn (= 1×) peers Sultan Abdul-Jawad

Countries citing papers authored by David S. Quinn

Since Specialization

Citations

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

Fields of papers citing papers by David S. Quinn

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David S. Quinn

This figure shows the co-authorship network connecting the top 25 collaborators of David S. Quinn. A scholar is included among the top collaborators of David S. Quinn 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 S. Quinn. David S. Quinn is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

Alcazar, Carlos R. Gil Del, Chia‐Chi Lin, Marta Gil-Martín, et al.. (2024). Abstract CT094: Targeting CSF1R with BLZ945 results in effective peripheral and tumor immune microenvironment modulation in advanced solid tumors and may be associated with limited efficacy in recurrent non-mesenchymal glioblastoma. Cancer Research. 84(7_Supplement). CT094–CT094. 4 indexed citations

Sperling, Adam S., Benjamin A. Derman, Sarah Nikiforow, et al.. (2023). Updated phase I study results of PHE885, a T-Charge manufactured BCMA-directed CAR-T cell therapy, for patients (pts) with r/r multiple myeloma (RRMM).. Journal of Clinical Oncology. 41(16_suppl). 8004–8004. 27 indexed citations

Wang, Hui Qin, Iain J. Mulford, Fiona A. Sharp, et al.. (2021). Inhibition of MDM2 Promotes Antitumor Responses in p53 Wild-Type Cancer Cells through Their Interaction with the Immune and Stromal Microenvironment. Cancer Research. 81(11). 3079–3091. 43 indexed citations

Wu, Jincheng, Shuqi Chen, David S. Quinn, et al.. (2021). Abstract LB061: On-target peripheral and tumor immune microenvironment modulation in patients treated with lacnotuzumab (anti-CSF1, MCS110) + spartalizumab. Cancer Research. 81(13_Supplement). LB061–LB061. 2 indexed citations

Wu, Jincheng, Marta Gil-Martín, Aung Naing, et al.. (2020). Abstract CT172: Pharmacodynamic and gene expression profiling of patients treated with BLZ945 + spartalizumab demonstrates on-target peripheral and tumor immune microenvironment modulation. Cancer Research. 80(16_Supplement). CT172–CT172. 2 indexed citations

Wang, Hui Qin, Jinsheng Liang, Iain J. Mulford, et al.. (2018). Abstract 5560: PD-1/PD-L1 blockade enhances MDM2 inhibitor activity in p53 wild-type cancers. Cancer Research. 78(13_Supplement). 5560–5560. 3 indexed citations

Santra, Sampa, Hua‐Xin Liao, Ruijin Zhang, et al.. (2010). Mosaic vaccines elicit CD8+ T lymphocyte responses that confer enhanced immune coverage of diverse HIV strains in monkeys. Nature Medicine. 16(3). 324–328. 185 indexed citations

Clements, Jody, Denise Howe, & David S. Quinn. (1990). The genetic effects of the anti-cancer drug methotrexate in somatic and germline cells of Drosophila. Mutation Research/Environmental Mutagenesis and Related Subjects. 234(6). 375–375. 2 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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