Conor T. Keane

40 total papers · 1.0k total citations
21 papers, 808 citations indexed

About

Conor T. Keane is a scholar working on Infectious Diseases, Surgery and Epidemiology. According to data from OpenAlex, Conor T. Keane has authored 21 papers receiving a total of 808 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Infectious Diseases, 9 papers in Surgery and 7 papers in Epidemiology. Recurrent topics in Conor T. Keane's work include Antimicrobial Resistance in Staphylococcus (7 papers), Clostridium difficile and Clostridium perfringens research (5 papers) and Helicobacter pylori-related gastroenterology studies (5 papers). Conor T. Keane is often cited by papers focused on Antimicrobial Resistance in Staphylococcus (7 papers), Clostridium difficile and Clostridium perfringens research (5 papers) and Helicobacter pylori-related gastroenterology studies (5 papers). Conor T. Keane collaborates with scholars based in Ireland, United Kingdom and United States. Conor T. Keane's co-authors include Colm O’Morain, Martin Buckley, David C. Coleman, Angela S. Rossney, Mark C. Enright, Anna C. Shore, S. Beattie, Stephen Patchett, Colm O’Moráin and Conor McCarthy and has published in prestigious journals such as Clinical Infectious Diseases, Antimicrobial Agents and Chemotherapy and Journal of Antimicrobial Chemotherapy.

In The Last Decade

Conor T. Keane

21 papers receiving 758 citations

Author Peers

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

Author Last Decade Papers Cites
Conor T. Keane 391 306 193 156 146 21 808
Jin-Yong Jeong 406 1.0× 237 0.8× 40 0.2× 233 1.5× 210 1.4× 21 906
D. Parratt 97 0.2× 205 0.7× 112 0.6× 377 2.4× 127 0.9× 39 977
Mariassunta Del Pezzo 187 0.5× 300 1.0× 103 0.5× 502 3.2× 184 1.3× 29 1.1k
C Van den Borre 235 0.6× 157 0.5× 71 0.4× 73 0.5× 157 1.1× 18 914
M Fuksa 454 1.2× 193 0.6× 92 0.5× 173 1.1× 50 0.3× 19 726
Steve L. Hill 198 0.5× 186 0.6× 72 0.4× 76 0.5× 318 2.2× 25 744
Anna Schwan 241 0.6× 295 1.0× 54 0.3× 217 1.4× 83 0.6× 44 727
A Kureishi 173 0.4× 262 0.9× 28 0.1× 304 1.9× 166 1.1× 20 878
Melanie Craven 161 0.4× 153 0.5× 54 0.3× 126 0.8× 204 1.4× 16 999
L Lebrun 180 0.5× 369 1.2× 27 0.1× 368 2.4× 148 1.0× 30 750

Countries citing papers authored by Conor T. Keane

Since Specialization
Citations

This map shows the geographic impact of Conor T. Keane'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 Conor T. Keane with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Conor T. Keane more than expected).

Fields of papers citing papers by Conor T. Keane

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Conor T. Keane. 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 Conor T. Keane. The network helps show where Conor T. Keane may publish in the future.

Co-authorship network of co-authors of Conor T. Keane

This figure shows the co-authorship network connecting the top 25 collaborators of Conor T. Keane. A scholar is included among the top collaborators of Conor T. Keane 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 Conor T. Keane. Conor T. Keane 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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