Lei Gao

3.8k citations
89 papers · 2.2k · h-index 26

Impact in

    • Tuberculosis Research and Epidemiology
    • HIV/AIDS Research and Interventions
    • Cervical Cancer and HPV Research
    • Mycobacterium research and diagnosis
    • HIV, Drug Use, Sexual Risk

Papers in

    • Tuberculosis Research and Epidemiology 42
    • HIV/AIDS Research and Interventions 5
    • Cervical Cancer and HPV Research 12
    • Hepatitis B Virus Studies 5
    • Pneumocystis jirovecii pneumonia detection and treatment 5
    • Mycobacterium research and diagnosis 4

Lei Gao

85 papers receiving 2.1k citations

Peers

Lei Gao
Comparison fields: 5 of 121
  • Infectious Diseases 766
  • Epidemiology 679
  • Otorhinolaryngology 80
  • Orthopedics and Sports Medicine 120
  • Genetics 251
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Gloria Y. F. Ho United States
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Lei Gao relative to Andrew Carr Australia Andrew Carr's profile →
Citations per field
00.5×5×11.4×
Andrew Carr · 1×
Citations per year

Countries citing papers authored by Lei Gao

Since Specialization
Citations

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

Fields of papers citing papers by Lei Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013216
2
Vitamin D receptor genetic polymorphisms and tuberculosis: updated systematic review and meta-analysis.
2010145
3 2009123
4 2012122
5 201194
6 201588
7 201284
8 201061
9 201057
10 201056
11 201354
12 201645
13 201938
14 201138
15 202038
16 201136
17 199133
18 201732
19 201732
20 202131

About Lei Gao

Lei Gao is a scholar working on Infectious Diseases, Epidemiology, Surgery, Molecular Biology and Immunology, having authored 89 papers that have together received 2.2k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (42 papers), Cervical Cancer and HPV Research (12 papers), Genital Health and Disease (6 papers), Diagnosis and treatment of tuberculosis (6 papers), Hepatitis B Virus Studies (5 papers), HIV/AIDS Research and Interventions (5 papers), Pneumocystis jirovecii pneumonia detection and treatment (5 papers) and Mycobacterium research and diagnosis (4 papers). The work is most often cited by research in Infectious Diseases (766 citations), Epidemiology (679 citations), Otorhinolaryngology (80 citations), Orthopedics and Sports Medicine (120 citations) and Genetics (251 citations). Lei Gao has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Qi Jin, Yu Yang, Feng Zhou, Mufei Li, Xiangwei Li, Cong Gao, Li Zhang, Qinglong Jin, Henan Xin and Xiangwei Li. Their work appears in journals such as PLoS ONE, Scientific Reports, BMC Infectious Diseases, Clinical Microbiology and Infection and Emerging Microbes & 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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