Richard J. Everts

30 total papers · 791 total citations
25 papers, 522 citations indexed

About

Richard J. Everts is a scholar working on Infectious Diseases, Epidemiology and Clinical Biochemistry. According to data from OpenAlex, Richard J. Everts has authored 25 papers receiving a total of 522 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Infectious Diseases, 9 papers in Epidemiology and 8 papers in Clinical Biochemistry. Recurrent topics in Richard J. Everts's work include Antimicrobial Resistance in Staphylococcus (8 papers), Bacterial Identification and Susceptibility Testing (8 papers) and Antibiotics Pharmacokinetics and Efficacy (6 papers). Richard J. Everts is often cited by papers focused on Antimicrobial Resistance in Staphylococcus (8 papers), Bacterial Identification and Susceptibility Testing (8 papers) and Antibiotics Pharmacokinetics and Efficacy (6 papers). Richard J. Everts collaborates with scholars based in New Zealand, United States and Australia. Richard J. Everts's co-authors include L. Barth Reller, Stephen T. Chambers, David R. Murdoch, Emily N. Vinson, Arthur J. Morris, Daniel H. Chang, R. B. Ellis‐Pegler, Sally Roberts, Susan Taylor and Mark Thomas and has published in prestigious journals such as PLoS ONE, Radiology and Journal of Clinical Microbiology.

In The Last Decade

Richard J. Everts

25 papers receiving 501 citations

Author Peers

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

Author						Papers	Cites
Richard J. Everts	212	211	199	138	83	25	522
Anna Chiu	154 0.7×	259 1.2×	156 0.8×	104 0.8×	26 0.3×	15	534
Joseph J. Klimek	190 0.9×	257 1.2×	155 0.8×	75 0.5×	71 0.9×	20	561
M.W.M. Wassenberg	81 0.4×	326 1.5×	180 0.9×	59 0.4×	67 0.8×	18	596
Cynthia T. Nguyen	155 0.7×	238 1.1×	94 0.5×	74 0.5×	66 0.8×	43	524
Conrad J. Wilkowske	308 1.5×	190 0.9×	92 0.5×	122 0.9×	83 1.0×	33	567
Joseli Maria da Rocha Nogueira	216 1.0×	126 0.6×	108 0.5×	72 0.5×	90 1.1×	51	523
Alicia Galar	293 1.4×	243 1.2×	107 0.5×	38 0.3×	40 0.5×	31	615
María Pía Roiz Mesones	307 1.4×	173 0.8×	198 1.0×	109 0.8×	37 0.4×	25	590
Chun‐Fu Yeh	318 1.5×	169 0.8×	81 0.4×	114 0.8×	62 0.7×	24	603
Bengül Durmaz	142 0.7×	163 0.8×	62 0.3×	76 0.6×	51 0.6×	41	477

Countries citing papers authored by Richard J. Everts

Since Specialization

Citations

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

Fields of papers citing papers by Richard J. Everts

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Richard J. Everts. 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 Richard J. Everts. The network helps show where Richard J. Everts may publish in the future.

Co-authorship network of co-authors of Richard J. Everts

This figure shows the co-authorship network connecting the top 25 collaborators of Richard J. Everts. A scholar is included among the top collaborators of Richard J. Everts 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 Richard J. Everts. Richard J. Everts 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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