Niamh Caffrey

31 total papers · 1.4k total citations
24 papers, 959 citations indexed

About

Niamh Caffrey is a scholar working on Infectious Diseases, Pollution and Epidemiology. According to data from OpenAlex, Niamh Caffrey has authored 24 papers receiving a total of 959 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Infectious Diseases, 9 papers in Pollution and 7 papers in Epidemiology. Recurrent topics in Niamh Caffrey's work include Pharmaceutical and Antibiotic Environmental Impacts (9 papers), Blood donation and transfusion practices (6 papers) and Salmonella and Campylobacter epidemiology (5 papers). Niamh Caffrey is often cited by papers focused on Pharmaceutical and Antibiotic Environmental Impacts (9 papers), Blood donation and transfusion practices (6 papers) and Salmonella and Campylobacter epidemiology (5 papers). Niamh Caffrey collaborates with scholars based in Canada and Australia. Niamh Caffrey's co-authors include Herman W. Barkema, Susan C. Cork, Paul E. Ronksley, James D. Kellner, William A. Ghali, Alicia J. Polachek, Nishan Sharma, Heather Ganshorn, Diego B. Nóbrega and Karen Tang and has published in prestigious journals such as Water Research, Journal of Antimicrobial Chemotherapy and Transfusion.

In The Last Decade

Niamh Caffrey

23 papers receiving 932 citations

Hit Papers

Restricting the use of an... 2017 2026 2020 2023 2017 200 400 600

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Niamh Caffrey 363 270 218 153 151 24 959
Nishan Sharma 328 0.9× 237 0.9× 169 0.8× 73 0.5× 146 1.0× 24 881
Lucie Dutil 353 1.0× 520 1.9× 443 2.0× 184 1.2× 92 0.6× 17 1.2k
Alejandro Dorado-García 399 1.1× 389 1.4× 140 0.6× 170 1.1× 214 1.4× 18 903
Alicia J. Polachek 328 0.9× 237 0.9× 169 0.8× 73 0.5× 146 1.0× 14 815
Lucie Collineau 528 1.5× 261 1.0× 200 0.9× 237 1.5× 189 1.3× 37 1.2k
Ilias Chantziaras 350 1.0× 298 1.1× 184 0.8× 135 0.9× 115 0.8× 58 1.1k
Carolee A. Carson 371 1.0× 343 1.3× 331 1.5× 127 0.8× 186 1.2× 65 946
Anne Deckert 334 0.9× 345 1.3× 466 2.1× 364 2.4× 66 0.4× 52 1.1k
Lucie Pokludová 277 0.8× 216 0.8× 115 0.5× 118 0.8× 113 0.7× 11 799
Émilie Gay 184 0.5× 328 1.2× 217 1.0× 157 1.0× 42 0.3× 38 980

Countries citing papers authored by Niamh Caffrey

Since Specialization
Citations

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

Fields of papers citing papers by Niamh Caffrey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Niamh Caffrey

This figure shows the co-authorship network connecting the top 25 collaborators of Niamh Caffrey. A scholar is included among the top collaborators of Niamh Caffrey based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Niamh Caffrey. Niamh Caffrey is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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