Chunhui Lang
Impact in
- Infectious Diseases top 2%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- Neurology top 2%
- Long-Term Effects of COVID-19
Papers in
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- Gut microbiota and health 3
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- COVID-19 Clinical Research Studies 4
- SARS-CoV-2 and COVID-19 Research 2
- Co-authors
- Jinglong Lv (4 shared papers)Suxin Wan (3 shared papers)Yu Zheng (2 shared papers)Yi Xiang (2 shared papers)Qiuyan Sun (2 shared papers)Boqun Li (2 shared papers)Yang Ruishan (1 shared paper)Yanjun Hu (1 shared paper)
In The Last Decade
Chunhui Lang
15 papers receiving 1.2k citations
Chunhui Lang's Hit Papers
Peers
Comparison fields: 5 of 111
- Infectious Diseases 886
- Neurology 533
- Modeling and Simulation 54
- Applied Microbiology and Biotechnology 17
- Oncology 206
Countries citing papers authored by Chunhui Lang
This map shows the geographic impact of Chunhui Lang'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 Chunhui Lang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chunhui Lang more than expected).
Fields of papers citing papers by Chunhui Lang
This network shows the impact of papers produced by Chunhui Lang. 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 Chunhui Lang. The network helps show where Chunhui Lang may publish in the future.
Co-authors
The 25 scholars most cited alongside Chunhui Lang, 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 | Clinical features and treatment of COVID‐19 patients in northeast Chongqing Hit paper breakdown → | 2020 | 758 |
| 2 | 2020 | 239 | |
| 3 | 2020 | 88 | |
| 4 | 2022 | 63 | |
| 5 | 2020 | 40 | |
| 6 | Efficacy of mesalazine in combination with bifid triple viable capsules on ulcerative colitis and the resultant effect on the inflammatory factors. | 2018 | 13 |
| 7 | 2020 | 5 | |
| 8 | 2024 | 4 | |
| 9 | 2024 | 3 | |
| 10 | 2023 | 3 | |
| 11 | 2021 | 3 | |
| 12 | 2025 | 2 | |
| 13 | 2020 | 2 | |
| 14 | 2025 | 1 | |
| 15 | 2024 | 1 |
About Chunhui Lang
Chunhui Lang is a scholar working on Molecular Biology, Infectious Diseases, Neurology, Nutrition and Dietetics and Genetics, having authored 15 papers that have together received 1.2k indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (4 papers), Gut microbiota and health (3 papers), Long-Term Effects of COVID-19 (2 papers), Inflammatory Bowel Disease (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Advanced Chemical Sensor Technologies (1 paper), Microbial Metabolites in Food Biotechnology (1 paper) and Advanced Fiber Optic Sensors (1 paper). The work is most often cited by research in Infectious Diseases (886 citations), Neurology (533 citations), Modeling and Simulation (54 citations), Applied Microbiology and Biotechnology (17 citations) and Oncology (206 citations). Chunhui Lang has collaborated with scholars based in China, Thailand and India. Frequent co-authors include Jinglong Lv, Suxin Wan, Yu Zheng, Yi Xiang, Qiuyan Sun, Boqun Li, Yang Ruishan, Yanjun Hu, Haoran Yang and Xia Huang. Their work appears in journals such as Analytical and Bioanalytical Chemistry, Scientific Reports, ACS Chemical Neuroscience, Annals of Palliative Medicine and British Journal of Haematology.
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.