Mark Mayo

5.9k citations
115 papers · 3.7k indexed · h-index 35

Impact in

  • Epidemiology top 0.5%
    • Burkholderia infections and melioidosis
    • Pneumonia and Respiratory Infections
    • Brucella: diagnosis, epidemiology, treatment

Papers in

Mark Mayo

112 papers receiving 3.6k citations

Peers

Mark Mayo
Comparison fields: 5 of 125
  • Epidemiology 3.0k
  • Small Animals 325
  • Molecular Medicine 138
  • Endocrinology 132
  • Microbiology 127
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Narisara Chantratita Thailand
Surasakdi Wongratanacheewin Thailand
Rob Baird Australia
Martine Denis France
Seanne P. Buckwalter United States
Hossein Mirhendi Iran
Amin Kabani Canada
S D Puthucheary Malaysia
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Citations per field
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Citations per year

Countries citing papers authored by Mark Mayo

Since Specialization
Citations

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

Fields of papers citing papers by Mark Mayo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 115 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000194
2 1997192
3 2006162
4 2015113
5 2014107
6 2013106
7 2001105
8 2009105
9 2000102
10 201398
11 201492
12 201289
13 201176
14 200575
15 200172
16 201671
17 200760
18 200759
19 199957
20 201356

About Mark Mayo

Mark Mayo is a scholar working on Epidemiology, Small Animals, Biomedical Engineering, Family Practice and Insect Science, having authored 115 papers that have together received 3.7k indexed citations. Recurring topics across this work include Burkholderia infections and melioidosis (107 papers), Chemical Looping and Thermochemical Processes (30 papers), Brucella: diagnosis, epidemiology, treatment (12 papers), Plant Pathogenic Bacteria Studies (6 papers), Insect symbiosis and bacterial influences (4 papers), Porphyrin Metabolism and Disorders (3 papers), Legume Nitrogen Fixing Symbiosis (2 papers) and Malaria Research and Control (2 papers). The work is most often cited by research in Epidemiology (3.0k citations), Small Animals (325 citations), Molecular Medicine (138 citations), Endocrinology (132 citations) and Microbiology (127 citations). Mark Mayo has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Bart J. Currie, Mirjam Kaestli, Daniel Gal, Derek S. Sarovich, Erin P. Price, Linda Ward, Paul Keim, Apichai Tuanyok, Allen Cheng and Glenda Harrington. Their work appears in journals such as Journal of Clinical Microbiology, American Journal of Tropical Medicine and Hygiene, PLoS neglected tropical diseases, Emerging infectious diseases and Applied and Environmental Microbiology.

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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