William J. Ritz

50 total papers · 897 total citations
43 papers, 753 citations indexed

About

William J. Ritz is a scholar working on Infectious Diseases, Epidemiology and Pharmacology. According to data from OpenAlex, William J. Ritz has authored 43 papers receiving a total of 753 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Infectious Diseases, 19 papers in Epidemiology and 12 papers in Pharmacology. Recurrent topics in William J. Ritz's work include Antifungal resistance and susceptibility (13 papers), Antimicrobial Resistance in Staphylococcus (12 papers) and Antibiotic Resistance in Bacteria (12 papers). William J. Ritz is often cited by papers focused on Antifungal resistance and susceptibility (13 papers), Antimicrobial Resistance in Staphylococcus (12 papers) and Antibiotic Resistance in Bacteria (12 papers). William J. Ritz collaborates with scholars based in United States and Germany. William J. Ritz's co-authors include Aldona L. Baltch, Raymond P. Smith, Lawrence H. Bopp, Poul Michelsen, Arnold Louie, M. Franke, Jaswant Singh, Morris Gordon, Ruth A. Schwalbe and Prashant Verma and has published in prestigious journals such as Journal of Clinical Microbiology, The Journal of Infectious Diseases and Antimicrobial Agents and Chemotherapy.

In The Last Decade

William J. Ritz

43 papers receiving 700 citations

Author Peers

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

Author Last Decade Papers Cites
William J. Ritz 446 291 153 144 144 43 753
H. Mittermayer 325 0.7× 250 0.9× 204 1.3× 188 1.3× 111 0.8× 46 843
Kazue Ueno 377 0.8× 181 0.6× 135 0.9× 156 1.1× 73 0.5× 61 746
R F D'Amato 322 0.7× 368 1.3× 117 0.8× 103 0.7× 93 0.6× 38 784
Françoise Chau 326 0.7× 314 1.1× 345 2.3× 214 1.5× 187 1.3× 46 907
Barbara G. Painter 230 0.5× 253 0.9× 199 1.3× 109 0.8× 292 2.0× 24 802
Fátima Galán‐Sánchez 229 0.5× 357 1.2× 248 1.6× 230 1.6× 123 0.9× 84 906
John Tomayko 327 0.7× 209 0.7× 233 1.5× 153 1.1× 142 1.0× 18 762
Keiji Kanemitsu 229 0.5× 189 0.6× 161 1.1× 160 1.1× 108 0.8× 52 722
James A. Poupard 214 0.5× 272 0.9× 159 1.0× 177 1.2× 141 1.0× 40 712
H. Pruul 196 0.4× 195 0.7× 207 1.4× 138 1.0× 236 1.6× 27 713

Countries citing papers authored by William J. Ritz

Since Specialization
Citations

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

Fields of papers citing papers by William J. Ritz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of William J. Ritz

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