Matthew D. Whitaker

3.4k citations
34 papers · 1.7k · 1 hit paper · h-index 20

Impact in

Papers in

    • COVID-19 Clinical Research Studies 10
    • SARS-CoV-2 and COVID-19 Research 9
    • SARS-CoV-2 detection and testing 5
    • Long-Term Effects of COVID-19 6

Matthew D. Whitaker

34 papers receiving 1.7k citations

Matthew D. Whitaker's Hit Papers

Persistent COVID-19 symptoms in a community study of 606,434 people in England 2022 · 289 citations
2890+1+2Years since publication50100150200250

Peers

Matthew D. Whitaker
Comparison fields: 5 of 127
  • Modeling and Simulation 176
  • Infectious Diseases 582
  • Neurology 382
  • Critical Care and Intensive Care Medicine 48
  • Health 62
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Matthew D. Whitaker relative to Joshua Elliott United Kingdom Joshua Elliott's profile →
Citations per field
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Citations per year

Countries citing papers authored by Matthew D. Whitaker

Since Specialization
Citations

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

Fields of papers citing papers by Matthew D. Whitaker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew D. Whitaker. 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 Matthew D. Whitaker. The network helps show where Matthew D. Whitaker may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Persistent COVID-19 symptoms in a community study of 606,434 people in England
Hit paper breakdown →
2022289
2 2021134
3 2022115
4 2020100
5 202298
6 202298
7 202185
8 202283
9 202181
10 202179
11 202173
12 201468
13 202358
14 202045
15 201738
16 202135
17 202233
18 202228
19 202323
20 202320

About Matthew D. Whitaker

Matthew D. Whitaker is a scholar working on Infectious Diseases, Neurology, Modeling and Simulation, Clinical Psychology and General Health Professions, having authored 34 papers that have together received 1.7k indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (10 papers), SARS-CoV-2 and COVID-19 Research (9 papers), Long-Term Effects of COVID-19 (6 papers), SARS-CoV-2 detection and testing (5 papers), COVID-19 and Mental Health (3 papers), RNA modifications and cancer (2 papers), COVID-19 epidemiological studies (2 papers) and Healthcare professionals’ stress and burnout (1 paper). The work is most often cited by research in Modeling and Simulation (176 citations), Infectious Diseases (582 citations), Neurology (382 citations), Critical Care and Intensive Care Medicine (48 citations) and Health (62 citations). Matthew D. Whitaker has collaborated with scholars based in United Kingdom, France and Netherlands. Frequent co-authors include Paul Elliott, Joshua Elliott, Marc Chadeau‐Hyam, Helen Ward, Graham Cooke, Lord Ara Darzi, Steven Riley, Barbara Bodinier, Christl Ann Donnelly and William Barclay. Their work appears in journals such as Nature Communications, EClinicalMedicine, The Lancet Regional Health - Europe, American Journal of Public Health and Science.

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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