Brian Honermann

2.2k citations
24 papers · 1.3k · 3 hit papers · h-index 9

Impact in

Papers in

Brian Honermann

22 papers receiving 1.3k citations

Brian Honermann's Hit Papers

PEPFAR under review: what's at stake for PEPFAR's future 2025 · 19 citations
190+2+4Years since publication250500750

Peers

Brian Honermann
Comparison fields: 5 of 108
  • Modeling and Simulation 174
  • Health 196
  • Infectious Diseases 194
  • General Health Professions 249
  • Clinical Psychology 205
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Citations per field
00.5×1.5×2.3×
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Citations per year

Countries citing papers authored by Brian Honermann

Since Specialization
Citations

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

Fields of papers citing papers by Brian Honermann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Assessing differential impacts of COVID-19 on black communities
Hit paper breakdown →
2020828
2
Risk for COVID-19 infection and death among Latinos in the United States: examining heterogeneity in transmission dynamics
Hit paper breakdown →
2020249
3 201880
4 202048
5 201835
6
PEPFAR under review: what's at stake for PEPFAR's future
Hit paper breakdown →
202519
7 202515
8 202110
9 20259
10 20247
11 20176
12 20186
13 20215
14 20125
15 20243
16 20183
17 20232
18 20202
19 20251
20 20201

About Brian Honermann

Brian Honermann is a scholar working on Infectious Diseases, Pediatrics, Perinatology and Child Health, General Health Professions, Epidemiology and Public Health, Environmental and Occupational Health, having authored 24 papers that have together received 1.3k indexed citations. Recurring topics across this work include HIV/AIDS Research and Interventions (8 papers), Global Maternal and Child Health (5 papers), HIV, Drug Use, Sexual Risk (3 papers), Geological and Geophysical Studies (1 paper), Health Policy Implementation Science (1 paper), Amoebic Infections and Treatments (1 paper), Cardiac, Anesthesia and Surgical Outcomes (1 paper) and Injury Epidemiology and Prevention (1 paper). The work is most often cited by research in Modeling and Simulation (174 citations), Health (196 citations), Infectious Diseases (194 citations), General Health Professions (249 citations) and Clinical Psychology (205 citations). Brian Honermann has collaborated with scholars based in United States, South Africa and United Kingdom. Frequent co-authors include Gregorio A. Millett, Jennifer Sherwood, Stefan Baral, Austin Jones, Patrick S. Sullivan, Chris Beyrer, Jeffrey S. Crowley, Leandro Mena, Elise Lankiewicz and David Benkeser. Their work appears in journals such as Journal of the International AIDS Society, AIDS Patient Care and STDs, Annals of Epidemiology, BMC Public Health and The Lancet.

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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