David M. Owens

7.5k total citations · 3 hit papers
108 papers, 5.4k citations indexed

About

David M. Owens is a scholar working on Molecular Biology, Surgery and Oncology. According to data from OpenAlex, David M. Owens has authored 108 papers receiving a total of 5.4k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 19 papers in Surgery and 19 papers in Oncology. Recurrent topics in David M. Owens's work include Hair Growth and Disorders (10 papers), Obstructive Sleep Apnea Research (8 papers) and Experimental Behavioral Economics Studies (7 papers). David M. Owens is often cited by papers focused on Hair Growth and Disorders (10 papers), Obstructive Sleep Apnea Research (8 papers) and Experimental Behavioral Economics Studies (7 papers). David M. Owens collaborates with scholars based in United Kingdom, United States and Denmark. David M. Owens's co-authors include Stephen M. Keyse, Fiona M. Watt, Robert J. Moore, Frances R. Balkwill, Caroline H. Arnott, Ellen A. Lumpkin, Zachary Grossman, Catherin Niemann, Manolis Pasparakis and Frances Burke and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

David M. Owens

108 papers receiving 5.3k citations

Hit Papers

Mice deficient in tumor necrosis factor-α are resistant t... 1999 2026 2008 2017 1999 2007 2025 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David M. Owens United Kingdom 34 2.3k 1.1k 743 604 600 108 5.4k
Christopher I. Amos United States 42 2.2k 0.9× 869 0.8× 1.0k 1.3× 401 0.7× 371 0.6× 101 6.1k
Yi–Ju Chen Taiwan 49 1.9k 0.8× 974 0.9× 1.2k 1.7× 1.2k 2.0× 395 0.7× 246 7.8k
Michael A. Simpson United Kingdom 44 2.7k 1.2× 587 0.5× 859 1.2× 587 1.0× 677 1.1× 161 6.3k
Anne Ryan United States 33 5.1k 2.2× 995 0.9× 719 1.0× 265 0.4× 483 0.8× 80 9.8k
Stephen Lyle United States 38 2.2k 0.9× 1.4k 1.3× 324 0.4× 989 1.6× 920 1.5× 100 4.8k
Yasuyuki Fujita Japan 33 1.2k 0.5× 543 0.5× 666 0.9× 333 0.6× 804 1.3× 178 4.5k
Atsushi Shimizu Japan 44 1.7k 0.7× 1.5k 1.4× 329 0.4× 413 0.7× 378 0.6× 269 6.1k
Alessandro Terrinoni Italy 34 2.7k 1.2× 1.4k 1.3× 330 0.4× 275 0.5× 617 1.0× 108 5.2k
Miguel Quintanilla Spain 45 4.3k 1.9× 3.0k 2.7× 629 0.8× 368 0.6× 784 1.3× 134 7.7k
Sancy A. Leachman United States 42 2.4k 1.0× 1.8k 1.6× 664 0.9× 969 1.6× 1.4k 2.3× 185 5.3k

Countries citing papers authored by David M. Owens

Since Specialization
Citations

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

Fields of papers citing papers by David M. Owens

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David M. Owens

This figure shows the co-authorship network connecting the top 25 collaborators of David M. Owens. A scholar is included among the top collaborators of David M. Owens 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 M. Owens. David M. Owens 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.
Owens, David M., et al.. (2023). The immunoregulatory protein CD200 as a potentially lucrative yet elusive target for cancer therapy. Oncotarget. 14(1). 96–103. 15 indexed citations
2.
Owens, David M., Vinidh Paleri, & Adam Jones. (2022). Head and neck cancer explained: an overview of management pathways. BDJ. 233(9). 721–725. 22 indexed citations
3.
Du, Rong, et al.. (2021). The CD200–CD200R Axis Promotes Squamous Cell Carcinoma Metastasis via Regulation of Cathepsin K. Cancer Research. 81(19). 5021–5032. 20 indexed citations
4.
Buonanno, Manuela, Stanislauskas Milda, Brian Ponnaiya, et al.. (2016). 207-nm UV Light—A Promising Tool for Safe Low-Cost Reduction of Surgical Site Infections. II: In-Vivo Safety Studies. PLoS ONE. 11(6). e0138418–e0138418. 130 indexed citations
5.
Weisberg, Stuart P., Lei Liang, Gist F. Croft, et al.. (2014). Zfx Facilitates Tumorigenesis Caused by Activation of the Hedgehog Pathway. Cancer Research. 74(20). 5914–5924. 20 indexed citations
6.
Doucet, Y. & David M. Owens. (2014). Isolation and Functional Assessment of Cutaneous Stem Cells. Methods in molecular biology. 1235. 147–164. 5 indexed citations
7.
Doucet, Y., et al.. (2013). The Touch Dome Defines an Epidermal Niche Specialized for Mechanosensory Signaling. Cell Reports. 3(6). 1759–1765. 57 indexed citations
8.
Owens, David M., et al.. (2013). Health costs and consequences: have UK national guidelines had any effect on tonsillectomy rates and hospital admissions for tonsillitis?. European Archives of Oto-Rhino-Laryngology. 270(6). 1959–1965. 22 indexed citations
9.
Tomkinson, A., et al.. (2012). Postoperative hemorrhage following adenoidectomy. The Laryngoscope. 122(6). 1246–1253. 30 indexed citations
10.
Stroman, Luke, et al.. (2012). Rates of rhinoplasty performed within the NHS IN England and Wales: A 10-year retrospective analysis. International Journal of Surgery. 10(8). S36–S36. 1 indexed citations
11.
Owens, David M., et al.. (2012). Cells of origin and tumor-initiating cells for nonmelanoma skin cancers. Cancer Letters. 338(1). 82–88. 22 indexed citations
12.
Grossman, Zachary & David M. Owens. (2011). An Unlucky Feeling: Persistent Overestimation of Absolute Performance with Noisy Feedback. eScholarship (California Digital Library). 84(2). 510. 3 indexed citations
13.
Thompson, Elizabeth A., Songyun Zhu, John S. House, et al.. (2011). C/EBPα Expression Is Downregulated in Human Nonmelanoma Skin Cancers and Inactivation of C/EBPα Confers Susceptibility to UVB-Induced Skin Squamous Cell Carcinomas. Journal of Investigative Dermatology. 131(6). 1339–1346. 15 indexed citations
14.
Owens, David M., et al.. (2011). The accuracy and reproducibility of rhinospirometry in detecting flow asymmetry in a nasal cavity model. European Archives of Oto-Rhino-Laryngology. 268(10). 1469–1474. 3 indexed citations
15.
Stumpfova, Magda, et al.. (2010). The Immunosuppressive Surface Ligand CD200 Augments the Metastatic Capacity of Squamous Cell Carcinoma. Cancer Research. 70(7). 2962–2972. 65 indexed citations
16.
Tomkinson, A., et al.. (2010). Risk factors for postoperative hemorrhage following tonsillectomy. The Laryngoscope. 121(2). 279–288. 119 indexed citations
17.
Horst, Basil A., Sofia K. Gruvberger-Saal, Benjamin D. Hopkins, et al.. (2009). Gab2-Mediated Signaling Promotes Melanoma Metastasis. American Journal Of Pathology. 174(4). 1524–1533. 61 indexed citations
18.
Temple, Mark, et al.. (2008). Does tonsillectomy lead to improved outcomes over and above the effect of time? A longitudinal study. The Journal of Laryngology & Otology. 122(11). 1197–1200. 16 indexed citations
19.
Niemann, Catherin, et al.. (2007). Dual Role of Inactivating Lef1 Mutations in Epidermis: Tumor Promotion and Specification of Tumor Type. Cancer Research. 67(7). 2916–2921. 53 indexed citations
20.
Owens, David M., et al.. (2000). Expression of involucrin in normal, hyperproliferative and neoplastic mouse keratinocytes. Experimental Dermatology. 9(6). 431–438. 54 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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