Linsay Gray

2.5k citations
60 papers · 2k · h-index 23

Impact in

Papers in

Linsay Gray

59 papers receiving 2k citations

Peers

Linsay Gray
Comparison fields: 5 of 109
  • Health 191
  • Infectious Diseases 372
  • Virology 78
  • Physiology 278
  • Epidemiology 285
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Roman Shrestha United States
André Moser Switzerland
Michael Liu United States
Luís de la Fuente Spain
Heather E. Angier United States
Andrea K. Biddle United States
Mostafa Shokoohi Iran
Catherine R. Lesko United States
Chanelle J. Howe United States
Khai Hoan Tram United States
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Citations per field
00.5×2×2.9×
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Citations per year

Countries citing papers authored by Linsay Gray

Since Specialization
Citations

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

Fields of papers citing papers by Linsay Gray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Linsay Gray, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Linsay Gray Line = papers co-authored together Linsay Gray links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001281
2 2017260
3 2011146
4 2015100
5 200686
6 200986
7 200880
8 201772
9 201369
10 201458
11 201149
12 201948
13 200043
14 200742
15
Scottish Health Survey 2016: Volume 1: Main Report
201740
16
HIV-infected pregnant women and vertical transmission in Europe since 1986. European collaborative study.
200139
17 201333
18 200831
19 201031
20 200828

About Linsay Gray

Linsay Gray is a scholar working on Health, Sociology and Political Science, Physiology, Infectious Diseases and Virology, having authored 60 papers that have together received 2k indexed citations. Recurring topics across this work include Survey Methodology and Nonresponse (16 papers), Smoking Behavior and Cessation (11 papers), Health disparities and outcomes (9 papers), HIV/AIDS Research and Interventions (6 papers), Public Health and Social Inequalities (5 papers), Cardiovascular Health and Risk Factors (4 papers), Urban and Rural Development Challenges (3 papers) and HIV Research and Treatment (3 papers). The work is most often cited by research in Health (191 citations), Infectious Diseases (372 citations), Virology (78 citations), Physiology (278 citations) and Epidemiology (285 citations). Linsay Gray has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Alastair H. Leyland, George David Batty, Srinivasa Vittal Katikireddi, Marie‐Louise Newell, Elise Whitley, Jim Lewsey, Howard D. Sesso, I‐Min Lee, Claire Thorne and Daniel Mackay. Their work appears in journals such as BMJ Open, BMC Public Health, European Journal of Public Health, Addiction and Annals of Oncology.

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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