Geoffrey Toner

9 total papers · 455 total citations
8 papers, 345 citations indexed

About

Geoffrey Toner is a scholar working on Infectious Diseases, Molecular Biology and Epidemiology. According to data from OpenAlex, Geoffrey Toner has authored 8 papers receiving a total of 345 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Infectious Diseases, 4 papers in Molecular Biology and 4 papers in Epidemiology. Recurrent topics in Geoffrey Toner's work include Antifungal resistance and susceptibility (4 papers), Urinary Tract Infections Management (2 papers) and Fungal Infections and Studies (2 papers). Geoffrey Toner is often cited by papers focused on Antifungal resistance and susceptibility (4 papers), Urinary Tract Infections Management (2 papers) and Fungal Infections and Studies (2 papers). Geoffrey Toner collaborates with scholars based in United States and Germany. Geoffrey Toner's co-authors include Scott E. Gygax, Sean G. Chadwick, P. David Rogers, Katherine S. Barker, Stephanie A. Flowers, Elizabeth L. Berkow, Joachim Morschhäuser, Jack D. Sobel, Martin E. Adelson and William L. Smith and has published in prestigious journals such as Journal of Clinical Microbiology, Antimicrobial Agents and Chemotherapy and Eukaryotic Cell.

In The Last Decade

Geoffrey Toner

7 papers receiving 339 citations

Author Peers

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

Author						Papers	Cites
Geoffrey Toner	224	213	94	84	45	8	345
Pizga Kumwenda	119 0.5×	208 1.0×	48 0.5×	67 0.8×	14 0.3×	10	323
Emily McKloud	190 0.8×	282 1.3×	96 1.0×	103 1.2×	11 0.2×	9	381
Flávia E. Matsumoto	161 0.7×	159 0.7×	34 0.4×	78 0.9×	12 0.3×	12	327
Beatrice Achan	156 0.7×	170 0.8×	23 0.2×	70 0.8×	13 0.3×	19	329
Demetrios G. Halkias	155 0.7×	177 0.8×	52 0.6×	43 0.5×	19 0.4×	9	370
Raluca Datcu	238 1.1×	105 0.5×	233 2.5×	80 1.0×	7 0.2×	12	377
Heleen Nailis	156 0.7×	270 1.3×	52 0.6×	129 1.5×	17 0.4×	8	367
Mario Kapitan	73 0.3×	162 0.8×	27 0.3×	156 1.9×	13 0.3×	9	306
Annika König	155 0.7×	227 1.1×	46 0.5×	135 1.6×	18 0.4×	6	378
W. H. Patterson	147 0.7×	68 0.3×	40 0.4×	73 0.9×	43 1.0×	12	343

Countries citing papers authored by Geoffrey Toner

Since Specialization

Citations

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

Fields of papers citing papers by Geoffrey Toner

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Geoffrey Toner

This figure shows the co-authorship network connecting the top 25 collaborators of Geoffrey Toner. A scholar is included among the top collaborators of Geoffrey Toner 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 Geoffrey Toner. Geoffrey Toner 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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