Mark Dayer

82 papers receiving 2.8k citations

Mark Dayer's Hit Papers

Incidence of infective endocarditis in England, 2000–13: a secular trend, interrupted time-series analysis 2014 · 332 citations
3320+4+8Years since publication100200300

Peers

Mark Dayer
Comparison fields: 5 of 120
  • Applied Microbiology and Biotechnology 148
  • Endocrine and Autonomic Systems 318
  • Infectious Diseases 831
  • Epidemiology 1.2k
  • Cardiology and Cardiovascular Medicine 759
Replace D. Chassard with:
D. Chassard France
Simon Baudouin United Kingdom
Ronald N. Goldberg United States
Philippe Séguin France
Nicolò Patroniti Italy
Lu-Ann Papile United States
Pavlos Myrianthefs Greece
Billie Lou Short United States
Nancy Greer United States
Nicola Brienza Italy
Mark Dayer relative to D. Chassard France D. Chassard's profile →
Citations per field
00.5×3.6×
D. Chassard · 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 88 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 →
2014332
2 2017190
3 2007135
4 2006134
5 2015120
6 2015110
7 2017104
8 201798
9 199387
10 200787
11 200876
12 201870
13 202255
14 202155
15 200454
16 200454
17 201951
18 200648
19 200946
20 201646

About Mark Dayer

Mark Dayer is a scholar working on Epidemiology, Cardiology and Cardiovascular Medicine, Infectious Diseases, Public Health, Environmental and Occupational Health and Surgery, having authored 88 papers that have together received 2.9k indexed citations. Recurring topics across this work include Infective Endocarditis Diagnosis and Management (33 papers), Antimicrobial Resistance in Staphylococcus (20 papers), Streptococcal Infections and Treatments (18 papers), Otolaryngology and Infectious Diseases (15 papers), Neuroscience of respiration and sleep (10 papers), Heart Failure Treatment and Management (9 papers), Heart Rate Variability and Autonomic Control (8 papers) and Cardiac pacing and defibrillation studies (8 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (148 citations), Endocrine and Autonomic Systems (318 citations), Infectious Diseases (831 citations), Epidemiology (1.2k citations) and Cardiology and Cardiovascular Medicine (759 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 Dimitrios Lathyris. Their work appears in journals such as BDJ, International Journal of Cardiology, Cochrane Database of Systematic Reviews, Circulation 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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