Mark Mayo

6.0k citations
116 papers · 4.0k · h-index 36

Impact in

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

Papers in

Mark Mayo

113 papers receiving 3.8k citations

Peers

Mark Mayo
Comparison fields: 5 of 122
  • Epidemiology 3.1k
  • Small Animals 277
  • Molecular Medicine 141
  • Endocrinology 139
  • Microbiology 111
Replace Surasakdi Wongratanacheewin with:
Surasakdi Wongratanacheewin Thailand
Derek S. Sarovich Australia
Rob Baird Australia
Mohammad Javad Najafzadeh Iran
Hossein Mirhendi Iran
Jiufeng Sun China
Seanne P. Buckwalter United States
Rasana W. Sermswan Thailand
Amin Kabani Canada
S D Puthucheary Malaysia
Mark Mayo relative to Surasakdi Wongratanacheewin Thailand Surasakdi Wongratanacheewin's profile →
Citations per field
00.5×6.3×
Surasakdi Wongratanacheewin · 1×
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 116 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000205
2 1997198
3 2006171
4 2015117
5 2013116
6 2000115
7 2014115
8 2001113
9 2009112
10 2013102
11 201496
12 201290
13 201183
14 200577
15 201676
16 200175
17 200767
18 200765
19 199962
20 200661

About Mark Mayo

Mark Mayo is a scholar working on Epidemiology, Biomedical Engineering, Small Animals, Plant Science and Molecular Biology, having authored 116 papers that have together received 4.0k indexed citations. Recurring topics across this work include Burkholderia infections and melioidosis (108 papers), Chemical Looping and Thermochemical Processes (23 papers), Brucella: diagnosis, epidemiology, treatment (11 papers), Plant Pathogenic Bacteria Studies (5 papers), Porphyrin Metabolism and Disorders (3 papers), Insect symbiosis and bacterial influences (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 (3.1k citations), Small Animals (277 citations), Molecular Medicine (141 citations), Endocrinology (139 citations) and Microbiology (111 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, PLoS neglected tropical diseases, American Journal of Tropical Medicine and Hygiene, Emerging infectious diseases and Epidemiology and Infection.

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.

Explore authors with similar magnitude of impact