Mark Dayer

83 papers receiving 2.9k citations

Mark Dayer's Hit Papers

Incidence of infective endocarditis in England, 2000–13: a secular trend, interrupted time-series analysis 2014 · 347 citations
3470+4+8Years since publication100200300

Peers

Mark Dayer
Comparison fields: 5 of 117
  • Applied Microbiology and Biotechnology 123
  • Endocrine and Autonomic Systems 249
  • Epidemiology 1.1k
  • Cardiology and Cardiovascular Medicine 608
  • Infectious Diseases 469
Replace Nicola Brienza with:
Nicola Brienza Italy
Simon Baudouin United Kingdom
Alexandre Demoule France
Werther Brunow de Carvalho Brazil
Paolo Palange Italy
Philippe Séguin France
Pavlos Myrianthefs Greece
Jean–Pierre Marmuse France
Jean-Paul Janssens Switzerland
Nicolò Patroniti Italy
Mark Dayer relative to Nicola Brienza Italy Nicola Brienza's profile →
Citations per field
00.5×8.6×
Nicola Brienza · 1×
Citations per year

Countries citing papers authored by Mark Dayer

Since Specialization
Citations

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

Fields of papers citing papers by Mark Dayer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 91 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Incidence of infective endocarditis in England, 2000–13: a secular trend, interrupted time-series analysis
Hit paper breakdown →
2014347
2 2017203
3 2006149
4 2007141
5 2015126
6 2015117
7 2017110
8 2017104
9 200791
10 199387
11 200877
12 201871
13 202159
14 202258
15 200455
16 200455
17 201954
18 200652
19 200952
20 200448

About Mark Dayer

Mark Dayer is a scholar working on Epidemiology, Cardiology and Cardiovascular Medicine, Infectious Diseases, Surgery and Public Health, Environmental and Occupational Health, having authored 91 papers that have together received 3.1k indexed citations. Recurring topics across this work include Infective Endocarditis Diagnosis and Management (35 papers), Antimicrobial Resistance in Staphylococcus (10 papers), Streptococcal Infections and Treatments (9 papers), Heart Failure Treatment and Management (9 papers), Cardiac Arrhythmias and Treatments (8 papers), Neuroscience of respiration and sleep (8 papers), Otolaryngology and Infectious Diseases (8 papers) and Heart Rate Variability and Autonomic Control (7 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (123 citations), Endocrine and Autonomic Systems (249 citations), Epidemiology (1.1k citations), Cardiology and Cardiovascular Medicine (608 citations) and Infectious Diseases (469 citations). Mark Dayer has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Martin H. Thornhill, Peter B. Lockhart, Larry M. Baddour, Bernard Prendergast, Simon Jones, Michael I. Polkey, John Moxham, Nicholas S Hopkinson, Arturo J Martí-Carvajal and Iván Solà. Their work appears in journals such as Cochrane Database of Systematic Reviews, International Journal of Cardiology, BDJ, Heart and Respiratory Physiology & Neurobiology.

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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