William LeBar

853 citations
37 papers · 557 · h-index 12

Impact in

    • Reproductive tract infections research
    • Clostridium difficile and Clostridium perfringens research
    • Viral gastroenteritis research and epidemiology

Papers in

    • Cervical Cancer and HPV Research 5
    • Urinary Tract Infections Management 3
    • Mycobacterium research and diagnosis 3
    • Respiratory viral infections research 3
    • Reproductive tract infections research 13

William LeBar

32 papers receiving 537 citations

Peers

William LeBar
Comparison fields: 5 of 74
  • Microbiology 131
  • Infectious Diseases 212
  • Epidemiology 197
  • Pulmonary and Respiratory Medicine 118
  • Clinical Biochemistry 24
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Citations per field
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Citations per year

Countries citing papers authored by William LeBar

Since Specialization
Citations

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

Fields of papers citing papers by William LeBar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside William LeBar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with William LeBar Line = papers co-authored together William LeBar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015110
2 2015110
3 198948
4 201138
5 202037
6 202029
7 201029
8 201117
9 201117
10 201114
11 201113
12 199611
13 199210
14 202310
15 19857
16 20177
17 20157
18 19867
19 19906
20 20145

About William LeBar

William LeBar is a scholar working on Epidemiology, Microbiology, Infectious Diseases, Public Health, Environmental and Occupational Health and Clinical Biochemistry, having authored 37 papers that have together received 557 indexed citations. Recurring topics across this work include Reproductive tract infections research (13 papers), Streptococcal Infections and Treatments (6 papers), Cervical Cancer and HPV Research (5 papers), Bacterial Identification and Susceptibility Testing (5 papers), Clostridium difficile and Clostridium perfringens research (3 papers), Urinary Tract Infections Management (3 papers), Mycobacterium research and diagnosis (3 papers) and Respiratory viral infections research (3 papers). The work is most often cited by research in Microbiology (131 citations), Infectious Diseases (212 citations), Epidemiology (197 citations), Pulmonary and Respiratory Medicine (118 citations) and Clinical Biochemistry (24 citations). William LeBar has collaborated with scholars based in United States, Kenya and Italy. Frequent co-authors include Duane W. Newton, Barry R. Herschman, Lisa A. Carmody, Linda M. Kalikin, John J. LiPuma, Thomas M. Schmidt, Arvind Venkataraman, Zaid Abdo, Jiangchao Zhao and Richard H. Simon. Their work appears in journals such as Diagnostic Microbiology and Infectious Disease, Journal of Clinical Microbiology, Sexually Transmitted Diseases, The Journal of Infectious Diseases and Infectious Diseases in Obstetrics and Gynecology.

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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