Mark Andrew Chambers

4.6k citations
139 papers · 3.7k · h-index 36

Impact in

Papers in

Mark Andrew Chambers

135 papers receiving 3.6k citations

Peers

Mark Andrew Chambers
Comparison fields: 5 of 73
  • Infectious Diseases 2.2k
  • Agronomy and Crop Science 131
  • Ecology 94
  • Biomedical Engineering 127
  • Microbiology 22
Replace Eamonn P. Gormley with:
Eamonn P. Gormley Ireland
D. Neil Wedlock New Zealand
Bryce M. Buddle New Zealand
Katleen Hermans Belgium
Andrew Stephen Waller United Kingdom
Keun Seok Seo United States
Y. Piémont France
Dong-Jun An South Korea
Kim Y. Green United States
Anne Tristan France
Mark Andrew Chambers relative to Eamonn P. Gormley Ireland Eamonn P. Gormley's profile →
Citations per field
00.5×2×2.8×
Eamonn P. Gormley · 1×
Citations per year

Countries citing papers authored by Mark Andrew Chambers

Since Specialization
Citations

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

Fields of papers citing papers by Mark Andrew Chambers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 139 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002315
2 2008115
3 2010112
4 2015109
5 201898
6 201285
7 200384
8 200580
9 201372
10 200769
11 201066
12 200164
13 200662
14 200461
15 200860
16 200258
17 200458
18 200456
19 201356
20 200055

About Mark Andrew Chambers

Mark Andrew Chambers is a scholar working on Infectious Diseases, Biomedical Engineering, Pollution, Ecology and Epidemiology, having authored 139 papers that have together received 3.7k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (80 papers), Advanced Chemical Sensor Technologies (6 papers), Wildlife Ecology and Conservation (3 papers), Cervical Cancer and HPV Research (2 papers), Pharmaceutical and Antibiotic Environmental Impacts (2 papers), Mycobacterium research and diagnosis (2 papers), Infection Control in Healthcare (2 papers) and 3D Printing in Biomedical Research (2 papers). The work is most often cited by research in Infectious Diseases (2.2k citations), Agronomy and Crop Science (131 citations), Ecology (94 citations), Biomedical Engineering (127 citations) and Microbiology (22 citations). Mark Andrew Chambers has collaborated with scholars based in United Kingdom, Ireland and New Zealand. Frequent co-authors include R. Glyn Hewinson, Sandrine Lesellier, Adam O. Whelan, Richard John Delahay, H. Martin Vordermeier, Bryce M. Buddle, Dolores Gavier‐Widén, Paul J. Cockle, Deanna J. Dalley and Konstantin P. Lyashchenko. Their work appears in journals such as Vaccine, Veterinary Immunology and Immunopathology, Infection and Immunity, Preventive Veterinary Medicine and The Veterinary Journal.

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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