Gordon Dooley

2.9k total citations · 1 hit paper
23 papers, 1.9k citations indexed

About

Gordon Dooley is a scholar working on Statistics, Probability and Uncertainty, Dermatology and Immunology. According to data from OpenAlex, Gordon Dooley has authored 23 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Statistics, Probability and Uncertainty, 4 papers in Dermatology and 4 papers in Immunology. Recurrent topics in Gordon Dooley's work include Meta-analysis and systematic reviews (7 papers), Dermatology and Skin Diseases (4 papers) and Psoriasis: Treatment and Pathogenesis (4 papers). Gordon Dooley is often cited by papers focused on Meta-analysis and systematic reviews (7 papers), Dermatology and Skin Diseases (4 papers) and Psoriasis: Treatment and Pathogenesis (4 papers). Gordon Dooley collaborates with scholars based in United Kingdom, United States and Austria. Gordon Dooley's co-authors include David Moher, Mike Clarke, Davina Ghersi, Mark Petticrew, Lesley Stewart, Alison Booth, Anna H Noel-Storr, Julie Glanville, Anne Mason and James Mason and has published in prestigious journals such as Cochrane Database of Systematic Reviews, Journal of Clinical Epidemiology and Journal of the American Academy of Dermatology.

In The Last Decade

Gordon Dooley

22 papers receiving 1.9k citations

Hit Papers

The nuts and bolts of PROSPERO: an international prospect... 2012 2026 2016 2021 2012 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gordon Dooley United Kingdom 14 293 281 261 245 244 23 1.9k
Nai Ming Lai Malaysia 24 102 0.3× 332 1.2× 202 0.8× 211 0.9× 174 0.7× 108 2.0k
Carlos A. Cuello‐García Mexico 22 142 0.5× 362 1.3× 263 1.0× 189 0.8× 69 0.3× 54 2.1k
S. Hollis United Kingdom 27 223 0.8× 405 1.4× 683 2.6× 243 1.0× 124 0.5× 57 3.4k
Tonya S. King United States 30 178 0.6× 207 0.7× 332 1.3× 238 1.0× 91 0.4× 122 2.5k
D. Riley United States 21 150 0.5× 326 1.2× 586 2.2× 155 0.6× 95 0.4× 76 3.0k
Glen Hazlewood Canada 26 191 0.7× 413 1.5× 485 1.9× 313 1.3× 456 1.9× 157 3.9k
Ian J. Saldanha United States 24 232 0.8× 598 2.1× 367 1.4× 228 0.9× 43 0.2× 105 2.5k
Rachel Riera Brazil 29 91 0.3× 220 0.8× 527 2.0× 234 1.0× 68 0.3× 202 3.1k
Ari Gnanasakthy United States 27 44 0.2× 183 0.7× 159 0.6× 223 0.9× 124 0.5× 87 2.0k
Marta Soares United Kingdom 31 101 0.3× 132 0.5× 791 3.0× 496 2.0× 133 0.5× 94 3.0k

Countries citing papers authored by Gordon Dooley

Since Specialization
Citations

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

Fields of papers citing papers by Gordon Dooley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gordon Dooley

This figure shows the co-authorship network connecting the top 25 collaborators of Gordon Dooley. A scholar is included among the top collaborators of Gordon Dooley 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 Gordon Dooley. Gordon Dooley 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.
Dooley, Gordon, Suneeta Godbole, Julia Wrobel, et al.. (2025). Comparison of Δ9-tetrahydrocannabinol in venous and capillary blood following ad libitum cannabis smoking by occasional and daily users. Journal of Analytical Toxicology. 49(7). 476–484. 1 indexed citations
2.
Noel-Storr, Anna H, Gerald Gartlehner, Gordon Dooley, Emma Persad, & Barbara Nußbaumer-Streit. (2022). Crowdsourcing the identification of studies for COVID‐19‐related Cochrane Rapid Reviews. Research Synthesis Methods. 13(5). 585–594. 3 indexed citations
3.
Noel-Storr, Anna H, Patrick Redmond, Guillaume Lamé, et al.. (2021). Crowdsourcing citation-screening in a mixed-studies systematic review: a feasibility study. BMC Medical Research Methodology. 21(1). 88–88. 7 indexed citations
4.
Noel-Storr, Anna H, Gordon Dooley, Julian Elliott, et al.. (2021). An evaluation of Cochrane Crowd found that crowdsourcing produced accurate results in identifying randomized trials. Journal of Clinical Epidemiology. 133. 130–139. 92 indexed citations
5.
Noel-Storr, Anna H, Gordon Dooley, Lisa Affengruber, & Gerald Gartlehner. (2020). Citation screening using crowdsourcing and machine learning produced accurate results: Evaluation of Cochrane's modified Screen4Me service. Journal of Clinical Epidemiology. 130. 23–31. 33 indexed citations
6.
Noel-Storr, Anna H, Gordon Dooley, Susanna Wisniewski, et al.. (2020). Cochrane Centralised Search Service showed high sensitivity identifying randomized controlled trials: A retrospective analysis. Journal of Clinical Epidemiology. 127. 142–150. 90 indexed citations
7.
Glanville, Julie, Eleanor Kotas, Robin Featherstone, & Gordon Dooley. (2020). Which are the most sensitive search filters to identify randomized controlled trials in MEDLINE?. Journal of the Medical Library Association JMLA. 108(4). 556–563. 34 indexed citations
8.
Gartlehner, Gerald, Lisa Affengruber, Viktoria Titscher, et al.. (2020). Single-reviewer abstract screening missed 13 percent of relevant studies: a crowd-based, randomized controlled trial. Journal of Clinical Epidemiology. 121. 20–28. 103 indexed citations
9.
Glanville, Julie, et al.. (2019). Translating the Cochrane EMBASE RCT filter from the Ovid interface to Embase.com: a case study. Health Information & Libraries Journal. 36(3). 264–277. 62 indexed citations
12.
Booth, Alison, Mike Clarke, Gordon Dooley, et al.. (2013). PROSPERO at one year: an evaluation of its utility. Systematic Reviews. 2(1). 4–4. 110 indexed citations
13.
Mason, Anne, James Mason, Michael J. Cork, Helen Hancock, & Gordon Dooley. (2013). Topical treatments for chronic plaque psoriasis: An abridged Cochrane Systematic Review. Journal of the American Academy of Dermatology. 69(5). 799–807. 49 indexed citations
14.
Mason, Anne, James Mason, Michael J. Cork, Gordon Dooley, & Helen Hancock. (2013). Topical treatments for chronic plaque psoriasis. Cochrane Database of Systematic Reviews. 2015(12). CD005028–CD005028. 134 indexed citations
15.
Mason, Anne, James Mason, Michael J. Cork, Helen Hancock, & Gordon Dooley. (2013). Topical treatments for chronic plaque psoriasis of the scalp: a systematic review. British Journal of Dermatology. 169(3). 519–527. 37 indexed citations
16.
Booth, Alison, Mike Clarke, Gordon Dooley, et al.. (2012). The nuts and bolts of PROSPERO: an international prospective register of systematic reviews. Systematic Reviews. 1(1). 2–2. 952 indexed citations breakdown →
17.
Mason, Anne, et al.. (2009). Topical treatments for chronic plaque psoriasis. Cochrane Database of Systematic Reviews. CD005028–CD005028. 50 indexed citations
18.
Rosenberg, William, et al.. (1998). Improving Searching Skills and Evidence Retrieval. Journal of the Royal College of Physicians of London. 32(6). 557–563. 71 indexed citations
19.
Dooley, Gordon & A.Y. Finlay. (1990). Personal construct systems of psoriatic patients. Clinical and Experimental Dermatology. 15(6). 401–405. 13 indexed citations
20.
Dooley, Gordon & Neil Vasan. (1989). Dilantin hyperplasia: a review of the literature.. PubMed. 68. 19–22. 4 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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