Lei Gao
Impact in
- Infectious Diseases top 2%
- Tuberculosis Research and Epidemiology
- HIV/AIDS Research and Interventions
- Epidemiology top 2%
- Cervical Cancer and HPV Research
- Mycobacterium research and diagnosis
- HIV, Drug Use, Sexual Risk
- Pneumocystis jirovecii pneumonia detection and treatment
Papers in
-
- Tuberculosis Research and Epidemiology 41
- Epidemiology 53
- Pneumocystis jirovecii pneumonia detection and treatment 18
- Cervical Cancer and HPV Research 13
- Mycobacterium research and diagnosis 11
- Hepatitis B Virus Studies 7
- Co-authors
- Qi JinYu YangFeng ZhouMufei LiXiangwei LiCong GaoLi ZhangQinglong Jin
- Journals
- PLoS ONE (14 papers)Scientific Reports (5 papers)BMC Infectious Diseases (4 papers)Microbiology Spectrum (3 papers)Journal of Infection (3 papers)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Lei Gao
81 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 125
- Infectious Diseases 860
- Epidemiology 1.0k
- Otorhinolaryngology 80
- Orthopedics and Sports Medicine 155
- Surgery 590
Countries citing papers authored by Lei Gao
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
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-authorship network
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 2 | |
| 5 | 2023 | 2 | |
| 6 | 2021 | 12 | |
| 7 | 2020 | 8 | |
| 8 | 2020 | 12 | |
| 9 | 2020 | 12 | |
| 10 | 2019 | 37 | |
| 11 | 2019 | 20 | |
| 12 | 2018 | 21 | |
| 13 | 2017 | 32 | |
| 14 | 2017 | 10 | |
| 15 | 2013 | 18 | |
| 16 | 2013 | 22 | |
| 17 | 2012 | 25 | |
| 18 | 2011 | 93 | |
| 19 | KLOTHO Gene C-1818T Polymorphism in Elderly Patients With Acute Coronary Syndrome | 2008 | 1 |
| 20 | Histopathological analysis of senile degenerative calcific aortic valvular disease | 2005 | 1 |
About Lei Gao
Lei Gao is a scholar working on Infectious Diseases, Epidemiology, Surgery, Microbiology and Immunology, having authored 88 papers that have together received 2.1k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (41 papers), Infectious Diseases and Tuberculosis (19 papers), Pneumocystis jirovecii pneumonia detection and treatment (18 papers), Cervical Cancer and HPV Research (13 papers), Mycobacterium research and diagnosis (11 papers), Genital Health and Disease (11 papers), Diagnosis and treatment of tuberculosis (10 papers) and Hepatitis B Virus Studies (7 papers). The work is most often cited by research in Infectious Diseases (860 citations), Epidemiology (1.0k citations), Otorhinolaryngology (80 citations), Orthopedics and Sports Medicine (155 citations) and Surgery (590 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, Xiangwei Li and Henan Xin. Their work appears in journals such as PLoS ONE, Scientific Reports, BMC Infectious Diseases, Microbiology Spectrum and Journal of Infection.
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.