Nanshan Chen
Impact in
- Infectious Diseases top 0.05%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- Neurology top 0.1%
- Long-Term Effects of COVID-19
Papers in
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- Occupational Health and Safety Research 2
-
- Tuberculosis Research and Epidemiology 3
- Infection Control in Healthcare 3
- SARS-CoV-2 and COVID-19 Research 1
Nanshan Chen
12 papers receiving 14.4k citations
Hit Papers
Peers
Comparison fields: 5 of 191
- Infectious Diseases 9.6k
- Neurology 4.3k
- Modeling and Simulation 1.2k
- General Dentistry 228
- Applied Microbiology and Biotechnology 245
Countries citing papers authored by Nanshan Chen
This map shows the geographic impact of Nanshan Chen'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 Nanshan Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nanshan Chen more than expected).
Fields of papers citing papers by Nanshan Chen
This network shows the impact of papers produced by Nanshan Chen. 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 Nanshan Chen. The network helps show where Nanshan Chen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Nanshan Chen, 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 | 1 | |
| 2 | 2025 | 3 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 10 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 2 | |
| 8 | 2023 | 5 | |
| 9 | 2021 | 8 | |
| 10 | 2020 | 10 | |
| 11 | Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study Hit paper breakdown → | 2020 | 14267 |
| 12 | 2020 | 31 | |
| 13 | Isolation of Cu Atoms in Pd Lattice: Forming Highly Selective Sites for Photocatalytic Conversion of CO2 to CH4 Hit paper breakdown → | 2017 | 504 |
About Nanshan Chen
Nanshan Chen is a scholar working on Radiological and Ultrasound Technology, Infectious Diseases, Critical Care and Intensive Care Medicine, Pulmonary and Respiratory Medicine and Epidemiology, having authored 13 papers that have together received 14.8k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (3 papers), Advanced Battery Materials and Technologies (3 papers), Infection Control in Healthcare (3 papers), Occupational Health and Safety Research (2 papers), Advancements in Battery Materials (2 papers), Infection Control and Ventilation (2 papers), SARS-CoV-2 and COVID-19 Research (1 paper) and Infectious Diseases and Tuberculosis (1 paper). The work is most often cited by research in Infectious Diseases (9.6k citations), Neurology (4.3k citations), Modeling and Simulation (1.2k citations), General Dentistry (228 citations) and Applied Microbiology and Biotechnology (245 citations). Nanshan Chen has collaborated with scholars based in China, United States and Hungary. Frequent co-authors include Yang Qiu, Jingli Wang, Fengyun Gong, Xinxin Zhang, Yang Han, Jiaan Xia, Ying Liu, Ting Yu, Min Zhou and Xuan Dong. Their work appears in journals such as Journal of the American Chemical Society, Annals of Biomedical Engineering, Nature Communications, BMC Infectious Diseases and Energy & Environmental Science.
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.