Gordon Hay

1.5k total citations
59 papers, 1.1k citations indexed

About

Gordon Hay is a scholar working on Epidemiology, Statistics and Probability and General Health Professions. According to data from OpenAlex, Gordon Hay has authored 59 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Epidemiology, 24 papers in Statistics and Probability and 18 papers in General Health Professions. Recurrent topics in Gordon Hay's work include Census and Population Estimation (24 papers), HIV, Drug Use, Sexual Risk (23 papers) and Migration, Health and Trauma (10 papers). Gordon Hay is often cited by papers focused on Census and Population Estimation (24 papers), HIV, Drug Use, Sexual Risk (23 papers) and Migration, Health and Trauma (10 papers). Gordon Hay collaborates with scholars based in United Kingdom, Denmark and Spain. Gordon Hay's co-authors include Neil McKeganey, Maria Gannon, Sheila M. Bird, Sharon Hutchinson, Ruth King, Linda Bauld, Tim Millar, Lucas Wiessing, Jennifer McKell and K. Roy and has published in prestigious journals such as The Lancet, PLoS ONE and American Journal of Epidemiology.

In The Last Decade

Gordon Hay

56 papers receiving 991 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gordon Hay United Kingdom 23 699 242 239 229 184 59 1.1k
Marcel Buster Netherlands 15 340 0.5× 18 0.1× 183 0.8× 56 0.2× 263 1.4× 44 795
Liza Solomon United States 18 1.1k 1.5× 24 0.1× 342 1.4× 369 1.6× 158 0.9× 34 1.5k
Mary Comerford United States 19 774 1.1× 17 0.1× 370 1.5× 69 0.3× 232 1.3× 39 1.1k
Neilane Bertoni Brazil 18 523 0.7× 26 0.1× 285 1.2× 26 0.1× 155 0.8× 60 950
Pascale Leclerc Canada 18 756 1.1× 10 0.0× 411 1.7× 223 1.0× 191 1.0× 38 1.2k
Marie Jauffret‐Roustide France 17 537 0.8× 8 0.0× 100 0.4× 234 1.0× 140 0.8× 84 754
Abby E. Rudolph United States 19 731 1.0× 14 0.1× 282 1.2× 48 0.2× 263 1.4× 78 1.1k
Don C. Des Jarlais United States 9 869 1.2× 13 0.1× 498 2.1× 89 0.4× 266 1.4× 9 1.2k
Alia Al‐Tayyib United States 19 572 0.8× 11 0.0× 286 1.2× 112 0.5× 307 1.7× 51 1.0k
Carmen Aceijas United Kingdom 9 947 1.4× 8 0.0× 213 0.9× 318 1.4× 223 1.2× 14 1.2k

Countries citing papers authored by Gordon Hay

Since Specialization
Citations

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

Fields of papers citing papers by Gordon Hay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gordon Hay

This figure shows the co-authorship network connecting the top 25 collaborators of Gordon Hay. A scholar is included among the top collaborators of Gordon Hay 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 Hay. Gordon Hay 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.
Hope, Vivian, Lorna Porcellato, Caroline Brett, et al.. (2023). Did the UK’s COVID-19 restrictions during 2020 have a differential impact on the well-being of the LGBQ+ population: a mixed methods study. BMJ Open. 13(10). e068818–e068818. 1 indexed citations
2.
Hansen, Janne Fuglsang, Stine Nielsen, Gordon Hay, et al.. (2022). Increasing prevalence of chronic hepatitis B virus infection and low linkage to care in Denmark on 31 December 2016 – an update based on nationwide registers. Infectious Diseases. 55(1). 17–26. 3 indexed citations
3.
Nielsen, Stine, Janne Fuglsang Hansen, Gordon Hay, et al.. (2020). Hepatitis C prevalence in Denmark in 2016—An updated estimate using multiple national registers. PLoS ONE. 15(9). e0238203–e0238203. 22 indexed citations
4.
Enright, Kevin, Matthew Green, Gordon Hay, & James J. Malone. (2019). Workload and Injury in Professional Soccer Players: Role of Injury Tissue Type and Injury Severity. International Journal of Sports Medicine. 41(2). 89–97. 33 indexed citations
5.
Hay, Gordon, Susan Cowan, Peter Jepsen, et al.. (2013). Hepatitis B prevalence in Denmark – an estimate based on nationwide registers and a national screening programme, as on 31 December 2007. Eurosurveillance. 18(47). 34 indexed citations
6.
Bauld, Linda, et al.. (2012). Benefits and Employment: How Problem Drug Users Experience Welfare and Routes into Work. Journal of Social Policy. 41(4). 751–768. 9 indexed citations
7.
Christensen, Peer Brehm, Gordon Hay, Peter Jepsen, et al.. (2012). Hepatitis C prevalence in Denmark -an estimate based on multiple national registers. BMC Infectious Diseases. 12(1). 178–178. 54 indexed citations
8.
King, Ruth, Sheila M. Bird, Antony M. Overstall, Gordon Hay, & Sharon Hutchinson. (2012). Injecting drug users in Scotland, 2006: Listing, number, demography, and opiate-related death-rates. Addiction Research & Theory. 21(3). 235–246. 21 indexed citations
9.
Bird, Sheila M., Sharon Hutchinson, Gordon Hay, & Ruth King. (2009). Missing targets on drugs-related deaths, and a Scottish paradox. International Journal of Drug Policy. 21(3). 155–159. 7 indexed citations
10.
Bloor, Michael, Maria Gannon, Gordon Hay, et al.. (2008). Contribution of problem drug users' deaths to excess mortality in Scotland: secondary analysis of cohort study. BMJ. 337(jul22 2). a478–a478. 30 indexed citations
11.
Millar, Tim, Antònia Domingo‐Salvany, Cathy A. Eastwood, & Gordon Hay. (2008). Glossary of terms relating to capture–recapture methods. Journal of Epidemiology & Community Health. 62(8). 677–681. 12 indexed citations
12.
Hay, Gordon, et al.. (2008). Population estimates of problematic drug users who access DWP benefits: a feasibility study. 6 indexed citations
13.
King, Ruth, Sheila M. Bird, Steve Brooks, Sharon Hutchinson, & Gordon Hay. (2005). Prior Information in Behavioral Capture-Recapture Methods: Demographic Influences on Drug Injectors' Propensity to Be Listed in Data Sources and Their Drug-related Mortality. American Journal of Epidemiology. 162(7). 694–703. 25 indexed citations
14.
Hickman, Matthew, Christopher G. Taylor, Avik Chatterjee, et al.. (2002). Estimating the prevalence of problematic drug use: a review of methods and their application. Bristol Research (University of Bristol). 54(1). 15–32. 36 indexed citations
15.
Roy, K., et al.. (2002). Monitoring hepatitis C virus infection among injecting drug users in the European Union: a review of the literature. Epidemiology and Infection. 129(3). 577–585. 87 indexed citations
16.
Hay, Gordon, et al.. (2001). The attendance pattern of clients at a Scottish needle exchange. Addiction. 96(2). 259–266. 6 indexed citations
17.
Hay, Gordon. (2000). Capture–recapture estimates of drug misuse in urban and non‐urban settings in the north east of Scotland. Addiction. 95(12). 1795–1803. 28 indexed citations
18.
McKeganey, Neil, et al.. (1996). Contrasting methods of collecting data on injectors' risk behaviour. AIDS Care. 8(5). 557–564. 12 indexed citations
19.
Forsyth, Alasdair, et al.. (1996). Designer drinks and drunkenness amongst a sample of Scottish schoolchildren: Table 1. BMJ. 313(7054). 401–401. 37 indexed citations
20.
Burns, D., Gordon Hay, & W. Sibbett. (1993). Dual-wavelength external-cavity semiconductor lasers. Quantum Electronics and Laser Science Conference. 7 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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