E.C. Deasy

12 total papers · 600 total citations
9 papers, 453 citations indexed

About

E.C. Deasy is a scholar working on Infectious Diseases, Molecular Biology and General Dentistry. According to data from OpenAlex, E.C. Deasy has authored 9 papers receiving a total of 453 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Infectious Diseases, 5 papers in Molecular Biology and 4 papers in General Dentistry. Recurrent topics in E.C. Deasy's work include Bacterial biofilms and quorum sensing (5 papers), Antimicrobial Resistance in Staphylococcus (5 papers) and Dental Research and COVID-19 (4 papers). E.C. Deasy is often cited by papers focused on Bacterial biofilms and quorum sensing (5 papers), Antimicrobial Resistance in Staphylococcus (5 papers) and Dental Research and COVID-19 (4 papers). E.C. Deasy collaborates with scholars based in Ireland and Germany. E.C. Deasy's co-authors include David C. Coleman, Anna C. Shore, Gráinne I. Brennan, Ralf Ehricht, Stefan Monecke, Peter Slickers, Brian O’Connell, M.J. O’Donnell, Brenda A. McManus and Nola Leonard and has published in prestigious journals such as PLoS ONE, Antimicrobial Agents and Chemotherapy and Journal of Hospital Infection.

In The Last Decade

E.C. Deasy

9 papers receiving 442 citations

Author Peers

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

Author						Papers	Cites
E.C. Deasy	354	255	176	48	41	9	453
Katsuhiro Sato	339 1.0×	243 1.0×	139 0.8×	57 1.2×	39 1.0×	6	466
Taschia Bertuccio	402 1.1×	343 1.3×	136 0.8×	67 1.4×	67 1.6×	10	520
Hülya Kaya	337 1.0×	222 0.9×	177 1.0×	86 1.8×	50 1.2×	13	450
Mary Rahman	377 1.1×	154 0.6×	186 1.1×	34 0.7×	35 0.9×	11	448
Sarah van Alen	339 1.0×	233 0.9×	131 0.7×	70 1.5×	52 1.3×	9	447
Aminata Maïga	425 1.2×	302 1.2×	220 1.3×	63 1.3×	28 0.7×	14	517
Chad C. Black	239 0.7×	263 1.0×	125 0.7×	67 1.4×	76 1.9×	9	432
Michael J. Male	400 1.1×	258 1.0×	154 0.9×	46 1.0×	65 1.6×	6	527
Namiko Takahashi	321 0.9×	206 0.8×	194 1.1×	51 1.1×	76 1.9×	7	459
Adilson de Oliveira	218 0.6×	267 1.0×	109 0.6×	27 0.6×	53 1.3×	15	405

Countries citing papers authored by E.C. Deasy

Since Specialization

Citations

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

Fields of papers citing papers by E.C. Deasy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by E.C. Deasy. 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 E.C. Deasy. The network helps show where E.C. Deasy may publish in the future.

Co-authorship network of co-authors of E.C. Deasy

This figure shows the co-authorship network connecting the top 25 collaborators of E.C. Deasy. A scholar is included among the top collaborators of E.C. Deasy 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 E.C. Deasy. E.C. Deasy 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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