Kevin M. Conlon

18 total papers · 1.3k total citations
17 papers, 997 citations indexed

About

Kevin M. Conlon is a scholar working on Infectious Diseases, Molecular Biology and Epidemiology. According to data from OpenAlex, Kevin M. Conlon has authored 17 papers receiving a total of 997 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Infectious Diseases, 11 papers in Molecular Biology and 8 papers in Epidemiology. Recurrent topics in Kevin M. Conlon's work include Tuberculosis Research and Epidemiology (9 papers), Mycobacterium research and diagnosis (8 papers) and Antimicrobial Resistance in Staphylococcus (6 papers). Kevin M. Conlon is often cited by papers focused on Tuberculosis Research and Epidemiology (9 papers), Mycobacterium research and diagnosis (8 papers) and Antimicrobial Resistance in Staphylococcus (6 papers). Kevin M. Conlon collaborates with scholars based in Ireland, United Kingdom and United States. Kevin M. Conlon's co-authors include James P. O’Gara, H. Humphreys, Stephen V. Gordon, David E. MacHugh, Nicolas Nalpas, John A. Browne, David A. Magee, Eamonn Gormley, Paul D. Fey and Brendan Loftus and has published in prestigious journals such as PLoS ONE, Scientific Reports and Journal of Bacteriology.

In The Last Decade

Kevin M. Conlon

17 papers receiving 971 citations

Author Peers

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

Author						Papers	Cites
Kevin M. Conlon	650	642	323	109	80	17	997
Pin Tong	620 1.0×	287 0.4×	199 0.6×	56 0.5×	91 1.1×	17	870
Ruth R. Miller	415 0.6×	487 0.8×	179 0.6×	58 0.5×	98 1.2×	29	988
Julia Sung	337 0.5×	348 0.5×	187 0.6×	90 0.8×	61 0.8×	17	932
Kay S. Greisen	525 0.8×	244 0.4×	219 0.7×	93 0.9×	190 2.4×	8	1.1k
Barbara E. Menzies	447 0.7×	597 0.9×	140 0.4×	212 1.9×	78 1.0×	14	971
Cheryl Okumura	335 0.5×	342 0.5×	192 0.6×	178 1.6×	64 0.8×	23	993
Florence Couzon	488 0.8×	643 1.0×	141 0.4×	84 0.8×	46 0.6×	11	919
Monika A. Chlebowicz	580 0.9×	597 0.9×	257 0.8×	123 1.1×	79 1.0×	28	1.2k
Caroline Obert	274 0.4×	247 0.4×	558 1.7×	132 1.2×	85 1.1×	17	976
Bryan J. Berube	542 0.8×	604 0.9×	152 0.5×	138 1.3×	126 1.6×	27	1.0k

Countries citing papers authored by Kevin M. Conlon

Since Specialization

Citations

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

Fields of papers citing papers by Kevin M. Conlon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kevin M. Conlon

This figure shows the co-authorship network connecting the top 25 collaborators of Kevin M. Conlon. A scholar is included among the top collaborators of Kevin M. Conlon 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 Kevin M. Conlon. Kevin M. Conlon 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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