Yaoju Tan
Impact in
- Infectious Diseases top 2%
- Tuberculosis Research and Epidemiology
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
Papers in
- Epidemiology 54
- Mycobacterium research and diagnosis 50
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- Tuberculosis Research and Epidemiology 52
- Co-authors
- Tianyu Zhang (27 shared papers)Shouyong Tan (20 shared papers)Xingshan Cai (16 shared papers)Yanlin Zhao (6 shared papers)Changwei Wang (8 shared papers)Jianxiong Liu (14 shared papers)H. M. Adnan Hameed (16 shared papers)Md. Mahmudul Islam (10 shared papers)
- Journals
- Journal of Clinical Microbiology (8 papers)Antimicrobial Agents and Chemotherapy (4 papers)Frontiers in Cellular and Infection Microbiology (3 papers)Scientific Reports (2 papers)Infection and Drug Resistance (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Yaoju Tan
58 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 94
- Infectious Diseases 934
- Molecular Medicine 110
- Epidemiology 761
- Microbiology 8
- Small Animals 73
Countries citing papers authored by Yaoju Tan
This map shows the geographic impact of Yaoju Tan'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 Yaoju Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yaoju Tan more than expected).
Fields of papers citing papers by Yaoju Tan
This network shows the impact of papers produced by Yaoju Tan. 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 Yaoju Tan. The network helps show where Yaoju Tan may publish in the future.
Co-authors
The 25 scholars most cited alongside Yaoju Tan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 124 | |
| 2 | 2013 | 81 | |
| 3 | 2015 | 80 | |
| 4 | 2017 | 72 | |
| 5 | 2016 | 66 | |
| 6 | 2018 | 47 | |
| 7 | 2019 | 46 | |
| 8 | 2016 | 45 | |
| 9 | 2011 | 42 | |
| 10 | 2019 | 37 | |
| 11 | 2018 | 35 | |
| 12 | 2017 | 32 | |
| 13 | 2012 | 31 | |
| 14 | 2016 | 31 | |
| 15 | 2015 | 30 | |
| 16 | 2022 | 27 | |
| 17 | 2019 | 23 | |
| 18 | 2019 | 21 | |
| 19 | 2016 | 21 | |
| 20 | 2020 | 20 |
About Yaoju Tan
Yaoju Tan is a scholar working on Epidemiology, Infectious Diseases, Molecular Biology, Surgery and Molecular Medicine, having authored 61 papers that have together received 1.2k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (52 papers), Mycobacterium research and diagnosis (50 papers), Infectious Diseases and Tuberculosis (10 papers), Cancer therapeutics and mechanisms (6 papers), Antibiotic Resistance in Bacteria (6 papers), Diagnosis and treatment of tuberculosis (6 papers), Bacteriophages and microbial interactions (5 papers) and Quinazolinone synthesis and applications (4 papers). The work is most often cited by research in Infectious Diseases (934 citations), Molecular Medicine (110 citations), Epidemiology (761 citations), Microbiology (8 citations) and Small Animals (73 citations). Yaoju Tan has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Tianyu Zhang, Shouyong Tan, Xingshan Cai, Yanlin Zhao, Changwei Wang, Jianxiong Liu, H. M. Adnan Hameed, Md. Mahmudul Islam, Chiranjibi Chhotaray and Wing Wai Yew. Their work appears in journals such as Journal of Clinical Microbiology, Antimicrobial Agents and Chemotherapy, Frontiers in Cellular and Infection Microbiology, Scientific Reports and Infection and Drug Resistance.
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.