Bing Lu

580 citations
13 papers · 367 · h-index 10

Impact in

  • Virology top 10%
    • HIV Research and Treatment
  • Health top 5%
    • Vaccine Coverage and Hesitancy

Papers in

    • HIV/AIDS drug development and treatment 4
    • HIV/AIDS Research and Interventions 2
    • SARS-CoV-2 and COVID-19 Research 2
    • SARS-CoV-2 detection and testing 1
    • HIV Research and Treatment 4

Bing Lu

12 papers receiving 365 citations

Peers

Bing Lu
Comparison fields: 5 of 81
  • Virology 69
  • Health 89
  • Infectious Diseases 187
  • Modeling and Simulation 25
  • Pharmaceutical Science 14
Replace C. Majerholc with:
C. Majerholc France
Hanan Hasan Jordan
Renzo Flores-Ortiz Brazil
Lauren Pischel United States
Pollyanna R. Chávez United States
Pasquale Spataro Italy
Asmara Malik Pakistan
Bernard Ngara Zimbabwe
Sharon Zhang United States
Ammar Ali Saleh Jaber United Arab Emirates
Bing Lu relative to C. Majerholc France C. Majerholc's profile →
Citations per field
00.5×5.7×
C. Majerholc · 1×
Citations per year

Countries citing papers authored by Bing Lu

Since Specialization
Citations

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

Fields of papers citing papers by Bing Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2018100
2 202187
3 202144
4 202328
5 201924
6 201923
7 202115
8 202114
9 201813
10 202010
11 20148
12 20241
13 20240

About Bing Lu

Bing Lu is a scholar working on Infectious Diseases, Virology, Health, Epidemiology and Paleontology, having authored 13 papers that have together received 367 indexed citations. Recurring topics across this work include HIV/AIDS drug development and treatment (4 papers), HIV Research and Treatment (4 papers), Vaccine Coverage and Hesitancy (2 papers), Respiratory viral infections research (2 papers), HIV/AIDS Research and Interventions (2 papers), Influenza Virus Research Studies (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and SARS-CoV-2 detection and testing (1 paper). The work is most often cited by research in Virology (69 citations), Health (89 citations), Infectious Diseases (187 citations), Modeling and Simulation (25 citations) and Pharmaceutical Science (14 citations). Bing Lu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yuan Shen, Kerry L. Fillgrove, Rosa I. Sánchez, Daniel Skomski, Xuwen Wang, Qiang Wang, José Antonio Lebrón, Li Sun, Marian E. Gindy and Tingting Cui. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, Vaccines, Molecular Pharmaceutics, Microbiology Spectrum and Sustainable Cities and Society.

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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