Kevin Markey

426 citations
24 papers · 302 · h-index 11

Impact in

    • Bacterial Infections and Vaccines
    • Pneumonia and Respiratory Infections
    • Infective Endocarditis Diagnosis and Management
    • Influenza Virus Research Studies

Papers in

Kevin Markey

24 papers receiving 278 citations

Peers

Kevin Markey
Comparison fields: 5 of 49
  • Microbiology 194
  • Epidemiology 150
  • Infectious Diseases 70
  • Endocrinology 16
  • Immunology 46
Replace Maja Jahnmatz with:
Maja Jahnmatz Sweden
Larissa van der Maas Netherlands
Lotte H. Hendrikx Netherlands
Margaretha Ljungman Sweden
Kumaran Vadivelu United States
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Citations per field
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Citations per year

Countries citing papers authored by Kevin Markey

Since Specialization
Citations

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

Fields of papers citing papers by Kevin Markey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201971
2 201833
3 200728
4 201018
5 201118
6 200815
7 201015
8 201415
9 201914
10 201911
11 201410
12
Calibration of pertussis toxin BRP batch 1 in a standardised CHO cell-based clustering assay.
20189
13 20208
14 20177
15
In search of acceptable alternatives to the murine histamine sensitisation test (HIST): what is possible and practical?
20166
16 20116
17 20145
18 20174
19 20112
20 20192

About Kevin Markey

Kevin Markey is a scholar working on Microbiology, Infectious Diseases, Epidemiology, Radiology, Nuclear Medicine and Imaging and Immunology, having authored 24 papers that have together received 302 indexed citations. Recurring topics across this work include Bacterial Infections and Vaccines (14 papers), Pneumonia and Respiratory Infections (6 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), Tuberculosis Research and Epidemiology (3 papers), Immunodeficiency and Autoimmune Disorders (3 papers), Virology and Viral Diseases (2 papers), Immune responses and vaccinations (2 papers) and Influenza Virus Research Studies (2 papers). The work is most often cited by research in Microbiology (194 citations), Epidemiology (150 citations), Infectious Diseases (70 citations), Endocrinology (16 citations) and Immunology (46 citations). Kevin Markey has collaborated with scholars based in United Kingdom, Finland and China. Frequent co-authors include Qiushui He, Dorothy Xing, Alex‐Mikael Barkoff, Jussi Mertsola, Guy A. M. Berbers, Mei Mei Ho, Jason Hockley, Norman K. Fry, Sophie Guillot and Ian M. Feavers. Their work appears in journals such as Vaccine, Journal of Immunological Methods, Journal of Medical Microbiology, Human Vaccines and Analytical Biochemistry.

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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