Brian Labus

483 citations
21 papers · 341 · h-index 9

Impact in

Papers in

    • Substance Abuse Treatment and Outcomes 2
    • HIV, Drug Use, Sexual Risk 2
    • Traumatic Brain Injury Research 2
    • Data-Driven Disease Surveillance 2
    • SARS-CoV-2 detection and testing 2

Brian Labus

19 papers receiving 324 citations

Peers

Brian Labus
Comparison fields: 5 of 103
  • Applied Microbiology and Biotechnology 17
  • Hepatology 43
  • Endocrinology 22
  • Epidemiology 127
  • Public Health, Environmental and Occupational Health 88
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Daniel Gebretsadik Ethiopia
Elizabeth Garber United States
Élisabeth Bouvet France
Juanita A. Haagsma Netherlands
Christina Yek United States
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Citations per field
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Citations per year

Countries citing papers authored by Brian Labus

Since Specialization
Citations

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

Fields of papers citing papers by Brian Labus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Brian Labus, 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 Brian Labus Line = papers co-authored together Brian Labus links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201087
2 201970
3 200238
4 201734
5 201626
6 201221
7 201912
8 202111
9 202210
10 20218
11 20235
12 20225
13 20214
14 20233
15 20193
16
Barriers for Cervical Cancer Screening in Women Living with HIV: A Systematic Review
20201
17 20231
18 20171
19 20201
20 20250

About Brian Labus

Brian Labus is a scholar working on Epidemiology, Infectious Diseases, Surgery, General Health Professions and Public Health, Environmental and Occupational Health, having authored 21 papers that have together received 341 indexed citations. Recurring topics across this work include Food Security and Health in Diverse Populations (2 papers), Opioid Use Disorder Treatment (2 papers), Substance Abuse Treatment and Outcomes (2 papers), HIV, Drug Use, Sexual Risk (2 papers), SARS-CoV-2 detection and testing (2 papers), Vaccine Coverage and Hesitancy (2 papers), Traumatic Brain Injury Research (2 papers) and Data-Driven Disease Surveillance (2 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (17 citations), Hepatology (43 citations), Endocrinology (22 citations), Epidemiology (127 citations) and Public Health, Environmental and Occupational Health (88 citations). Brian Labus has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Vincent Silenzio, Henry Kautz, Adam Sadilek, Michael C. Samuel, Karla D. Wagner, Jeanette M. Bowles, Patricia Rowley, Richard Kelley, Peter J. Davidson and María Luisa Mittal. Their work appears in journals such as Journal of Community Health, Epidemiology and Infection, PLoS ONE, Clinical Infectious Diseases and Neurology.

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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