M Cafferkey

35 papers receiving 718 citations

Peers

M Cafferkey
Comparison fields: 5 of 49
  • Clinical Biochemistry 47
  • Microbiology 57
  • Parasitology 60
  • Anesthesiology and Pain Medicine 38
  • Epidemiology 118
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Grant Johnson Canada
David Tuerlinckx Belgium
Benno Kohlmaier Austria
Simona Bossolasco Italy
Esther Benamu United States
P. Shawn Mitchell United States
Burçin Şener Türkiye
Luc J. M. Sabbe Netherlands
V. Ramesh India
Jean‐Dominique Poveda France
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Citations per year

Countries citing papers authored by M Cafferkey

Since Specialization
Citations

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

Fields of papers citing papers by M Cafferkey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201471
2 200370
3 200364
4 201460
5 199756
6 199955
7 198952
8 199751
9 201740
10 199132
11 200330
12 200323
13 198318
14 199818
15 201517
16
Tinea capitis in a paediatric population.
200716
17 200315
18 200011
19 201911
20
Susceptibility of pregnant women to toxoplasma infection--potential benefits for newborn screening.
200810

About M Cafferkey

M Cafferkey is a scholar working on Microbiology, Epidemiology, Clinical Biochemistry, Infectious Diseases and Parasitology, having authored 36 papers that have together received 792 indexed citations. Recurring topics across this work include Bacterial Infections and Vaccines (5 papers), Pneumonia and Respiratory Infections (4 papers), Neonatal and Maternal Infections (3 papers), Helicobacter pylori-related gastroenterology studies (2 papers), Urinary Tract Infections Management (2 papers), Toxoplasma gondii Research Studies (2 papers), Surgical site infection prevention (1 paper) and Metabolism and Genetic Disorders (1 paper). The work is most often cited by research in Clinical Biochemistry (47 citations), Microbiology (57 citations), Parasitology (60 citations), Anesthesiology and Pain Medicine (38 citations) and Epidemiology (118 citations). M Cafferkey has collaborated with scholars based in Ireland, United Kingdom and Canada. Frequent co-authors include Gordon Dougan, Caroline Mackie Ogilvie, Joo Wook Ahn, Frances A. Flinter, Mervyn R H Taylor, Celia V. Holland, K. M. Butler, H. Humphreys, Owen Patrick Smith and Frances Bowe. Their work appears in journals such as Epidemiology and Infection, Archives of Disease in Childhood, European Journal of Clinical Microbiology & Infectious Diseases, Molecular Cancer Therapeutics and Journal of Medical 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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