Shengjin Tu
Impact in
- Infectious Diseases top 0.02%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- Neurology top 0.05%
- Long-Term Effects of COVID-19
Papers in
-
- Tuberculosis Research and Epidemiology 2
- COVID-19 Clinical Research Studies 2
Shengjin Tu
7 papers receiving 17.7k citations
Hit Papers
Peers
Comparison fields: 5 of 191
- Infectious Diseases 12.6k
- Neurology 6.3k
- Modeling and Simulation 1.2k
- Critical Care and Intensive Care Medicine 1.1k
- Applied Microbiology and Biotechnology 340
Countries citing papers authored by Shengjin Tu
This map shows the geographic impact of Shengjin Tu'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 Shengjin Tu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shengjin Tu more than expected).
Fields of papers citing papers by Shengjin Tu
This network shows the impact of papers produced by Shengjin Tu. 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 Shengjin Tu. The network helps show where Shengjin Tu may publish in the future.
Co-authors
The 25 scholars most cited alongside Shengjin Tu, 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 | 2023 | 1 | |
| 3 | 2023 | 5 | |
| 4 | 2020 | 10 | |
| 5 | 2020 | 9 | |
| 6 | Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: a retrospective cohort study Hit paper breakdown → | 2020 | 18116 |
| 7 | 2020 | 31 | |
| 8 | 2018 | 1 |
About Shengjin Tu
Shengjin Tu is a scholar working on Infectious Diseases, Critical Care and Intensive Care Medicine, Radiology, Nuclear Medicine and Imaging, Epidemiology and Neurology, having authored 8 papers that have together received 18.2k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (2 papers), COVID-19 Clinical Research Studies (2 papers), COVID-19 diagnosis using AI (2 papers), Infectious Diseases and Tuberculosis (1 paper), Diagnosis and treatment of tuberculosis (1 paper), Lung Cancer Diagnosis and Treatment (1 paper), Inhalation and Respiratory Drug Delivery (1 paper) and Pleural and Pulmonary Diseases (1 paper). The work is most often cited by research in Infectious Diseases (12.6k citations), Neurology (6.3k citations), Modeling and Simulation (1.2k citations), Critical Care and Intensive Care Medicine (1.1k citations) and Applied Microbiology and Biotechnology (340 citations). Shengjin Tu has collaborated with scholars based in China and United Kingdom. Frequent co-authors include Yuan Wei, Fei Zhou, Ting Yu, Xiaoying Gu, Zhibo Liu, Jiuyang Xu, Yi Zhang, Jie Xiang, Ying Liu and Ronghui Du. Their work appears in journals such as Annals of Biomedical Engineering, BMC Infectious Diseases, The Lancet, Frontiers in Pharmacology 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.