Mark Joy

89 papers receiving 2.9k citations

Mark Joy's Hit Papers

First-dose ChAdOx1 and BNT162b2 COVID-19 vaccines and thrombocytopenic, thromboembolic and hemorrhagic events in Scotland 2021 · 198 citations
1980+2+4Years since publication100200300400

Peers

Mark Joy
Comparison fields: 5 of 138
  • Infectious Diseases 791
  • Modeling and Simulation 169
  • Health 230
  • Emergency Medicine 124
  • Neurology 205
Replace David J. McLernon with:
David J. McLernon United Kingdom
Puja R Myles United Kingdom
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Citations per year

Countries citing papers authored by Mark Joy

Since Specialization
Citations

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

Fields of papers citing papers by Mark Joy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 102 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Risk factors for SARS-CoV-2 among patients in the Oxford Royal College of General Practitioners Research and Surveillance Centre primary care network: a cross-sectional study
Hit paper breakdown →
2020439
2
Interim findings from first-dose mass COVID-19 vaccination roll-out and COVID-19 hospital admissions in Scotland: a national prospective cohort study
Hit paper breakdown →
2021408
3 2011213
4
First-dose ChAdOx1 and BNT162b2 COVID-19 vaccines and thrombocytopenic, thromboembolic and hemorrhagic events in Scotland
Hit paper breakdown →
2021198
5 2022153
6 2000136
7 2020113
8 2002102
9 199999
10 201977
11 202057
12 201955
13 202047
14 202245
15 202045
16 202042
17 201742
18 201831
19 201831
20 202431

About Mark Joy

Mark Joy is a scholar working on Infectious Diseases, Endocrinology, Diabetes and Metabolism, Epidemiology, Computer Networks and Communications and Statistical and Nonlinear Physics, having authored 102 papers that have together received 3.0k indexed citations. Recurring topics across this work include Neural Networks Stability and Synchronization (10 papers), SARS-CoV-2 and COVID-19 Research (10 papers), Influenza Virus Research Studies (9 papers), Diabetes Treatment and Management (6 papers), Nonlinear Dynamics and Pattern Formation (5 papers), stochastic dynamics and bifurcation (5 papers), COVID-19 Clinical Research Studies (4 papers) and Long-Term Effects of COVID-19 (4 papers). The work is most often cited by research in Infectious Diseases (791 citations), Modeling and Simulation (169 citations), Health (230 citations), Emergency Medicine (124 citations) and Neurology (205 citations). Mark Joy has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Simon de Lusignan, Simon Jones, Richard F. Hobbs, V. Tavşanoglu, Julian Sherlock, Oluwafunmi Akinyemi, Michael D Feher, Dylan McGagh, Harshana Liyanage and William Hinton. Their work appears in journals such as JMIR Public Health and Surveillance, Journal of Infection, The Lancet Regional Health - Europe, EClinicalMedicine and British Journal of General Practice.

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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