Nigel Gay

6.0k citations
62 papers · 4.1k indexed · h-index 36
    • COVID-19 epidemiological studies 13
  • Microbiology top 0.5%
  • Epidemiology top 0.5%
    • Virology and Viral Diseases 22
    • Pneumonia and Respiratory Infections 12
    • Influenza Virus Research Studies 11
    • Respiratory viral infections research 11
    • Hepatitis B Virus Studies 7
  • Health top 1%
    • Vaccine Coverage and Hesitancy 19
  • Hepatology top 2%
    • Hepatitis Viruses Studies and Epidemiology 7

Nigel Gay

62 papers receiving 3.9k citations

Peers

Nigel Gay
Comparison fields: 5 of 132
  • Modeling and Simulation 841
  • Microbiology 675
  • Epidemiology 3.1k
  • Health 664
  • Hepatology 415
Replace Ismael R. Ortega‐Sanchez with:
Ismael R. Ortega‐Sanchez United States
Fiona van der Klis Netherlands
Albert Jan van Hoek United Kingdom
Felicity T. Cutts United Kingdom
Paul Gargiullo United States
Ole Wichmann Germany
Marc Brisson Canada
D. James Nokes United Kingdom
W. John Edmunds United Kingdom
Antonino Bella Italy
Nigel Gay relative to Ismael R. Ortega‐Sanchez United States Ismael R. Ortega‐Sanchez's profile →
Citations per field
00.5×1.6×
Ismael R. Ortega‐Sanchez · 1×
Citations per year

Countries citing papers authored by Nigel Gay

Since Specialization
Citations

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

Fields of papers citing papers by Nigel Gay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Nigel Gay, 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 Nigel Gay Line = papers co-authored together Nigel Gay links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20167
2 201219
3 201193
4 201149
5 201160
6 200757
7 2006130
8 2005139
9 200593
10 2004107
11 200321
12 200319
13 200268
14 200242
15 200272
16 200099
17 199835
18 199825
19 1996164
20 199587

About Nigel Gay

Nigel Gay is a scholar working on Modeling and Simulation, Health and Epidemiology, having authored 62 papers that have together received 4.1k indexed citations. Recurring topics across this work include Virology and Viral Diseases (22 papers), Vaccine Coverage and Hesitancy (19 papers), COVID-19 epidemiological studies (13 papers), Pneumonia and Respiratory Infections (12 papers), Influenza Virus Research Studies (11 papers), Respiratory viral infections research (11 papers), Hepatitis Viruses Studies and Epidemiology (7 papers) and Hepatitis B Virus Studies (7 papers). The work is most often cited by research in Modeling and Simulation (841 citations), Microbiology (675 citations) and Epidemiology (3.1k citations). Nigel Gay has collaborated with scholars based in United Kingdom, Italy and Canada. Frequent co-authors include Alessia Melegaro, W. John Edmunds, W. John Edmunds, Gaston De Serres, Elizabeth Miller, Marc Brisson, Richard Pitman, Caroline Trotter, P Morgan-Capner and B Law. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Scientific Reports.

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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