Yanlin Zhao
- Infectious Diseases top 0.2%
- Tuberculosis Research and Epidemiology 146
- Epidemiology top 0.5%
- Mycobacterium research and diagnosis 107
- Pneumocystis jirovecii pneumonia detection and treatment 33
- Pneumonia and Respiratory Infections 19
- Molecular Medicine top 2%
- Antibiotic Resistance in Bacteria 9
- Microbiology top 2%
- Surgery top 2%
- Infectious Diseases and Tuberculosis 27
- Diagnosis and treatment of tuberculosis 22
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- Infectious Diseases and Mycology 10
- Journals
- New England Journal of Medicine (1 paper)The Lancet (2 papers)Nature Communications (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Yanlin Zhao
159 papers receiving 4.0k citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Infectious Diseases 3.4k
- Epidemiology 3.0k
- Molecular Medicine 296
- Microbiology 34
- Surgery 1.3k
Countries citing papers authored by Yanlin Zhao
This map shows the geographic impact of Yanlin Zhao'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 Yanlin Zhao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yanlin Zhao more than expected).
Fields of papers citing papers by Yanlin Zhao
This network shows the impact of papers produced by Yanlin Zhao. 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 Yanlin Zhao. The network helps show where Yanlin Zhao may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yanlin Zhao, 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 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 4 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 1 | |
| 7 | 2023 | 0 | |
| 8 | 2023 | 28 | |
| 9 | 2023 | 7 | |
| 10 | Detection of Mycobacterium tuberculosis Rifampicin Resistance Conferred by Borderline rpoB Mutations: Xpert MTB/RIF is Superior to Phenotypic Drug Susceptibility Testing | 2022 | 12 |
| 11 | 2022 | 7 | |
| 12 | 2022 | 16 | |
| 13 | 2022 | 40 | |
| 14 | 2022 | 7 | |
| 15 | 2020 | 69 | |
| 16 | Analysis on drug resistance-associated mutation among multi-drug resistant tuberculosis strains in China | 2016 | 1 |
| 17 | 2015 | 40 | |
| 18 | 2015 | 11 | |
| 19 | 2015 | 19 | |
| 20 | 2014 | 23 |
About Yanlin Zhao
Yanlin Zhao is a scholar working on Infectious Diseases, Epidemiology and Molecular Medicine, having authored 169 papers that have together received 4.1k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (146 papers), Mycobacterium research and diagnosis (107 papers), Pneumocystis jirovecii pneumonia detection and treatment (33 papers), Infectious Diseases and Tuberculosis (27 papers), Diagnosis and treatment of tuberculosis (22 papers), Pneumonia and Respiratory Infections (19 papers), Infectious Diseases and Mycology (10 papers) and Antibiotic Resistance in Bacteria (9 papers). The work is most often cited by research in Infectious Diseases (3.4k citations), Epidemiology (3.0k citations) and Molecular Medicine (296 citations). Yanlin Zhao has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Shengfen Wang, Yu Pang, Yu Pang, Bing Zhao, Yuanyuan Song, Hui Xia, Xichao Ou, Daniel P. Chin, Guangxue He and Jie Lu. Their work appears in journals such as New England Journal of Medicine, The Lancet and Nature Communications.
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.