Kevin W. Ward

32 total papers · 1.1k total citations
26 papers, 880 citations indexed

About

Kevin W. Ward is a scholar working on Infectious Diseases, Molecular Medicine and Endocrinology. According to data from OpenAlex, Kevin W. Ward has authored 26 papers receiving a total of 880 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Infectious Diseases, 12 papers in Molecular Medicine and 11 papers in Endocrinology. Recurrent topics in Kevin W. Ward's work include Antibiotic Resistance in Bacteria (12 papers), Bacterial Identification and Susceptibility Testing (9 papers) and Antimicrobial Resistance in Staphylococcus (5 papers). Kevin W. Ward is often cited by papers focused on Antibiotic Resistance in Bacteria (12 papers), Bacterial Identification and Susceptibility Testing (9 papers) and Antimicrobial Resistance in Staphylococcus (5 papers). Kevin W. Ward collaborates with scholars based in United States, Poland and Australia. Kevin W. Ward's co-authors include David A. Bruckner, Janet Hindler, Guiqing Wang, Romney M. Humphries, Shangxin Yang, Janet A. Hindler, Peera Hemarajata, Aric L. Gregson, Shelley A. Miller and Michael A. Lewinski and has published in prestigious journals such as Clinical Infectious Diseases, Journal of Clinical Microbiology and Antimicrobial Agents and Chemotherapy.

In The Last Decade

Kevin W. Ward

24 papers receiving 848 citations

Author Peers

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

Author Last Decade Papers Cites
Kevin W. Ward 422 378 315 257 195 26 880
Deborah Ashcraft 378 0.9× 363 1.0× 291 0.9× 257 1.0× 223 1.1× 30 909
Maria M. Traczewski 312 0.7× 487 1.3× 292 0.9× 232 0.9× 253 1.3× 42 918
Sandrine Roisin 438 1.0× 343 0.9× 344 1.1× 183 0.7× 234 1.2× 38 1.0k
Jui‐Fen Lai 308 0.7× 400 1.1× 189 0.6× 135 0.5× 274 1.4× 28 915
Matthew G. Stilwell 457 1.1× 400 1.1× 327 1.0× 334 1.3× 270 1.4× 20 1.0k
Tse-Hsien Koh 422 1.0× 463 1.2× 239 0.8× 110 0.4× 194 1.0× 24 951
F. W. Goldstein 398 0.9× 277 0.7× 212 0.7× 217 0.8× 381 2.0× 21 968
Mark W. Garrison 357 0.8× 232 0.6× 297 0.9× 297 1.2× 288 1.5× 33 908
Steve H. Marshall 372 0.9× 574 1.5× 241 0.8× 209 0.8× 210 1.1× 18 925
Angella Charnot‐Katsikas 240 0.6× 425 1.1× 323 1.0× 113 0.4× 224 1.1× 30 933

Countries citing papers authored by Kevin W. Ward

Since Specialization
Citations

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

Fields of papers citing papers by Kevin W. Ward

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kevin W. Ward. 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 Kevin W. Ward. The network helps show where Kevin W. Ward may publish in the future.

Co-authorship network of co-authors of Kevin W. Ward

This figure shows the co-authorship network connecting the top 25 collaborators of Kevin W. Ward. A scholar is included among the top collaborators of Kevin W. Ward 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 Kevin W. Ward. Kevin W. Ward 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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