Biyi Su
Impact in
- Infectious Diseases top 10%
- Tuberculosis Research and Epidemiology
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- Mycobacterium research and diagnosis
Papers in
-
- Tuberculosis Research and Epidemiology 18
- Epidemiology 19
- Mycobacterium research and diagnosis 17
- Pneumonia and Respiratory Infections 2
- Co-authors
- Yaoju Tan (16 shared papers)Yu Pang (7 shared papers)Xingshan Cai (4 shared papers)Huiwen Zheng (4 shared papers)Wei Shu (2 shared papers)Yanlin Zhao (3 shared papers)Jianxiong Liu (2 shared papers)Yu Pang (1 shared paper)
In The Last Decade
Biyi Su
22 papers receiving 333 citations
Peers
Comparison fields: 5 of 39
- Infectious Diseases 212
- Epidemiology 192
- Microbiology 3
- Small Animals 25
- Molecular Medicine 15
Countries citing papers authored by Biyi Su
This map shows the geographic impact of Biyi Su'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 Biyi Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Biyi Su more than expected).
Fields of papers citing papers by Biyi Su
This network shows the impact of papers produced by Biyi Su. 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 Biyi Su. The network helps show where Biyi Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Biyi Su, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 55 | |
| 2 | 2018 | 54 | |
| 3 | 2021 | 53 | |
| 4 | 2017 | 23 | |
| 5 | 2019 | 22 | |
| 6 | 2017 | 18 | |
| 7 | 2023 | 16 | |
| 8 | 2019 | 15 | |
| 9 | Effect of Mixed Infections with Mycobacterium tuberculosis and Nontuberculous Mycobacteria on Diagnosis of Multidrug-Resistant Tuberculosis: A Retrospective Multicentre Study in China | 2022 | 15 |
| 10 | 2020 | 14 | |
| 11 | 2016 | 10 | |
| 12 | 2022 | 8 | |
| 13 | 2023 | 7 | |
| 14 | 2019 | 6 | |
| 15 | 2025 | 4 | |
| 16 | 2022 | 4 | |
| 17 | 2023 | 4 | |
| 18 | 2016 | 3 | |
| 19 | 2025 | 3 | |
| 20 | 2023 | 2 |
About Biyi Su
Biyi Su is a scholar working on Infectious Diseases, Epidemiology, Molecular Medicine, Surgery and Small Animals, having authored 24 papers that have together received 338 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (18 papers), Mycobacterium research and diagnosis (17 papers), Infectious Diseases and Tuberculosis (3 papers), Diagnosis and treatment of tuberculosis (2 papers), Bacteriophages and microbial interactions (2 papers), Pneumonia and Respiratory Infections (2 papers), Antibiotic Resistance in Bacteria (2 papers) and Quinazolinone synthesis and applications (1 paper). The work is most often cited by research in Infectious Diseases (212 citations), Epidemiology (192 citations), Microbiology (3 citations), Small Animals (25 citations) and Molecular Medicine (15 citations). Biyi Su has collaborated with scholars based in China, Canada and Pakistan. Frequent co-authors include Yaoju Tan, Yu Pang, Xingshan Cai, Huiwen Zheng, Wei Shu, Yanlin Zhao, Jianxiong Liu, Yu Pang, Jie Li Lu and Xuezheng Li. Their work appears in journals such as Journal of Clinical Microbiology, Microbiology Spectrum, Emerging Microbes & Infections, Journal of Medical Microbiology 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.