Michael Day

454 papers receiving 10.8k citations

Michael Day's Hit Papers

Covid-19: four fifths of cases are asymptomatic, China figures indicate 2020 · 386 citations
3860+2+4Years since publication100200300

Peers

Michael Day
Comparison fields: 5 of 212
  • Parasitology 1.4k
  • Small Animals 1.1k
  • Equine 203
  • Infectious Diseases 2.1k
  • Virology 493
Replace Dirk U. Pfeiffer with:
Dirk U. Pfeiffer United Kingdom
David A. Relman United States
Luc Duchateau Belgium
Ian Robertson Australia
Frances S. Shofer United States
Peter G. Smith United Kingdom
Brian E. Henderson United States
Dominic Kwiatkowski United Kingdom
Thomas A.E. Platts‐Mills United States
Margaret Johnson United Kingdom
Michael Day relative to Dirk U. Pfeiffer United Kingdom Dirk U. Pfeiffer's profile →
Citations per field
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Dirk U. Pfeiffer · 1×
Citations per year

Countries citing papers authored by Michael Day

Since Specialization
Citations

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

Fields of papers citing papers by Michael Day

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 487 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Covid-19: four fifths of cases are asymptomatic, China figures indicate
Hit paper breakdown →
2020386
2 2020284
3 2005275
4
Covid-19: ibuprofen should not be used for managing symptoms, say doctors and scientists
Hit paper breakdown →
2020266
5 2001260
6 2016213
7 2016178
8 2007177
9 2011168
10 2017156
11 2011145
12 2003116
13 2001115
14 2003114
15 2009112
16 2003111
17 200193
18 200289
19 201489
20 201485

About Michael Day

Michael Day is a scholar working on Pulmonary and Respiratory Medicine, Epidemiology, Immunology, Infectious Diseases and General Health Professions, having authored 487 papers that have together received 11.5k indexed citations. Recurring topics across this work include Veterinary Oncology Research (68 papers), Healthcare Systems and Challenges (34 papers), Microbial infections and disease research (28 papers), Digital and Traditional Archives Management (23 papers), Infectious Diseases and Mycology (21 papers), Rabies epidemiology and control (20 papers), Health Services Management and Policy (20 papers) and Vector-borne infectious diseases (20 papers). The work is most often cited by research in Parasitology (1.4k citations), Small Animals (1.1k citations), Equine (203 citations), Infectious Diseases (2.1k citations) and Virology (493 citations). Michael Day has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Edward J. Hall, Ronald D. Schultz, Alexander J. German, Chris R. Helps, M. C. Horzinek, Iain R. Peters, Susan E. Shaw, Séverine Tasker, Dominique Peeters and Richard A. Squires. Their work appears in journals such as Journal of Small Animal Practice, BMJ, Journal of Veterinary Internal Medicine, Journal of Comparative Pathology and Veterinary Immunology and Immunopathology.

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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