Bao Phung

1.5k citations
8 papers · 40 · h-index 4

Impact in

    • Bacterial Infections and Vaccines
    • Reproductive tract infections research
    • HIV/AIDS drug development and treatment
    • HIV/AIDS Research and Interventions
    • SARS-CoV-2 and COVID-19 Research

Papers in

    • HIV/AIDS Research and Interventions 1
    • COVID-19 Clinical Research Studies 1
    • HIV/AIDS drug development and treatment 1
    • LGBTQ Health, Identity, and Policy 1

Bao Phung

7 papers receiving 39 citations

Peers

Bao Phung
Comparison fields: 5 of 18
  • Microbiology 12
  • Infectious Diseases 20
  • Virology 5
  • Epidemiology 7
  • Modeling and Simulation 1
Replace Cristina Marcelo with:
Cristina Marcelo Spain
Nitesha Jeenarain United States
Michael Semwogerere United States
Robin Ackens Netherlands
Jesse Francis United States
A.I. van Sighem Netherlands
Marisa Russell South Africa
Emily Brunt United Kingdom
Pompeyo Viciana Fernández Spain
Doug Grove United States
Bao Phung relative to Cristina Marcelo Spain Cristina Marcelo's profile →
Citations per field
00.5×
Cristina Marcelo · 1×
Citations per year

Countries citing papers authored by Bao Phung

Since Specialization
Citations

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

Fields of papers citing papers by Bao Phung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 201812
2 201810
3 20228
4 20203
5 20243
6 20153
7 20151
8 20250

About Bao Phung

Bao Phung is a scholar working on Infectious Diseases, Social Psychology, Epidemiology, Public Health, Environmental and Occupational Health and Physiology, having authored 8 papers that have together received 40 indexed citations. Recurring topics across this work include LGBTQ Health, Identity, and Policy (1 paper), HIV/AIDS Research and Interventions (1 paper), COVID-19 Clinical Research Studies (1 paper), HIV/AIDS drug development and treatment (1 paper), Reproductive tract infections research (1 paper), Ethics in Clinical Research (1 paper), HIV-related health complications and treatments (1 paper) and Bacterial Infections and Vaccines (1 paper). The work is most often cited by research in Microbiology (12 citations), Infectious Diseases (20 citations), Virology (5 citations), Epidemiology (7 citations) and Modeling and Simulation (1 citation). Bao Phung has collaborated with scholars based in France, Canada and Morocco. Frequent co-authors include Yazdan Yazdanpanah, Sylvie Le Gac, V. Descamps, F. Bouscarat, Lise Larcher, Hedi Mammeri, Roland Landman, Minh Lê, Charlotte Charpentier and Antoine Bachelard. Their work appears in journals such as Journal of Antimicrobial Chemotherapy, PLoS ONE, Journal of Infection and Public Health, International Journal of Infectious Diseases and Sexually Transmitted Infections.

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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