Zhenshun Cheng

61.4k total citations · 2 hit papers
30 papers, 1.6k citations indexed

About

Zhenshun Cheng is a scholar working on Infectious Diseases, Pulmonary and Respiratory Medicine and Epidemiology. According to data from OpenAlex, Zhenshun Cheng has authored 30 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Infectious Diseases, 7 papers in Pulmonary and Respiratory Medicine and 5 papers in Epidemiology. Recurrent topics in Zhenshun Cheng's work include COVID-19 Clinical Research Studies (10 papers), SARS-CoV-2 and COVID-19 Research (4 papers) and Asthma and respiratory diseases (4 papers). Zhenshun Cheng is often cited by papers focused on COVID-19 Clinical Research Studies (10 papers), SARS-CoV-2 and COVID-19 Research (4 papers) and Asthma and respiratory diseases (4 papers). Zhenshun Cheng collaborates with scholars based in China, United States and Germany. Zhenshun Cheng's co-authors include Kaisong Wu, Chaojie Wei, Wei Wang, Lan Ni, Jiong Yang, Guqin Zhang, Qiaoling Deng, Liangjun Chen, Yifei Chen and Guangming Ye and has published in prestigious journals such as Clinical Infectious Diseases, Scientific Reports and American Journal of Roentgenology.

In The Last Decade

Zhenshun Cheng

26 papers receiving 1.6k citations

Hit Papers

Clinical Characteristics of Refractory Coronavirus Diseas... 2020 2026 2022 2024 2020 2020 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Clinical Characteristics of Refractory Coronavirus Disease 2019 in Wuhan, China
    2020 653 citations Zhenshun Cheng, Yongxi Zhang et al. profile →
  2. The presence of SARS‐CoV‐2 RNA in the feces of COVID‐19 patients
    2020 594 citations Yifei Chen, Liangjun Chen et al. Journal of Medical Virology profile →

Peers

Zhenshun Cheng
Guqin Zhang China
Huaying Wang China
Mi Mu China
Pengcheng Yang China
Deepa Kumaraiah United States
Justin Laracy United States
Carly Eastin United States
Yanru Qiu China
Guqin Zhang China
Zhenshun Cheng
Citations per year, relative to Zhenshun Cheng Zhenshun Cheng (= 1×) peers Guqin Zhang

Countries citing papers authored by Zhenshun Cheng

Since Specialization
Citations

This map shows the geographic impact of Zhenshun Cheng'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 Zhenshun Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhenshun Cheng more than expected).

Fields of papers citing papers by Zhenshun Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zhenshun Cheng. 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 Zhenshun Cheng. The network helps show where Zhenshun Cheng may publish in the future.

Co-authorship network of co-authors of Zhenshun Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Zhenshun Cheng. A scholar is included among the top collaborators of Zhenshun Cheng based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Zhenshun Cheng. Zhenshun Cheng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Cheng, Zhenshun, et al.. (2025). Interpretable Machine Learning Model for Pulmonary Hypertension Risk Prediction: Retrospective Cohort Study. JMIR Medical Informatics. 13. e74117–e74117.
2.
Cheng, Zhenshun, et al.. (2025). Angiopoietins: multifaceted mediators in the pathogenesis of joint-related disorders. Histochemistry and Cell Biology. 163(1). 68–68. 1 indexed citations
3.
Wei, Wenping, et al.. (2025). De Novo Design of High-Affinity HER2-Targeting Protein Minibinders. Biomolecules. 15(11). 1587–1587.
4.
Gao, Han, et al.. (2025). Human epididymis protein 4-annexin II binding promotes aberrant epithelial-fibroblast crosstalk in pulmonary fibrosis. Communications Biology. 8(1). 93–93. 1 indexed citations
5.
Wang, Ling, et al.. (2024). Identification of predictive markers of Pneumocystis jirovecii pneumonia in kidney transplant recipients. Transplant Immunology. 85. 102074–102074.
6.
Wu, Hao, Yue Yu, Shadi Ibrahim, et al.. (2024). StreamBox: A Lightweight GPU SandBox for Serverless Inference Workflow. SPIRE - Sciences Po Institutional REpository.
7.
8.
9.
Cheng, Zhenshun, et al.. (2023). Epstein-Barr virus (EBV) induced pneumonitis in a patient with breast cancer receiving neoadjuvant chemotherapy: A case report. Respiratory Medicine Case Reports. 45. 101849–101849. 3 indexed citations
10.
Wang, Haibo, Jianping Zhao, Xianghong Yang, et al.. (2022). Risk factors for polymyxin B-associated acute kidney injury. International Journal of Infectious Diseases. 117. 37–44. 18 indexed citations
11.
Chen, Chang, Yi Zhang, Jianying Huang, et al.. (2021). Favipiravir Versus Arbidol for Clinical Recovery Rate in Moderate and Severe Adult COVID-19 Patients: A Prospective, Multicenter, Open-Label, Randomized Controlled Clinical Trial. Frontiers in Pharmacology. 12. 683296–683296. 84 indexed citations
12.
Wei, Chaojie, et al.. (2021). Time and risk factors of viral clearance in COVID-19 patients. Chinese Medical Journal. 134(17). 2131–2133. 2 indexed citations
13.
Wei, Chaojie, et al.. (2020). Aberrant Th2 Immune Responses Are Associated With a Reduced Frequency of IL-35-Induced Regulatory T Cells After Allergen Exposure in Patients With Allergic Asthma. Allergy Asthma and Immunology Research. 12(6). 1029–1029. 15 indexed citations
14.
Chen, Yifei, Liangjun Chen, Qiaoling Deng, et al.. (2020). The presence of SARS‐CoV‐2 RNA in the feces of COVID‐19 patients. Journal of Medical Virology. 92(7). 833–840. 594 indexed citations breakdown →
15.
Pan, Yunbao, Xinran Li, Gui Yang, et al.. (2020). Seroprevalence of SARS-CoV-2 immunoglobulin antibodies in Wuhan, China: part of the city-wide massive testing campaign. Clinical Microbiology and Infection. 27(2). 253–257. 21 indexed citations
16.
Zhang, Guqin, Huaqin Pan, Xingxing Hu, et al.. (2020). The role of isolation rooms, facemasks and intensified hand hygiene in the prevention of nosocomial COVID-19 transmission in a pulmonary clinical setting. Infectious Diseases of Poverty. 9(1). 104–104. 18 indexed citations
17.
Yu, Xin, Xiaojing Wu, Linna Huang, et al.. (2020). Acute Kidney Injury in Patients with the Coronavirus Disease 2019: A Multicenter Study. Kidney & Blood Pressure Research. 45(4). 612–622. 35 indexed citations
18.
Liu, Bing, Junyan Han, Long Yu, et al.. (2020). Reduced numbers of T cells and B cells correlates with persistent SARS-CoV-2 presence in non-severe COVID-19 patients. Scientific Reports. 10(1). 17718–17718. 26 indexed citations
19.
Wang, Wei, Zhenshun Cheng, Yifei Chen, & Yuhui Lin. (2016). Increased circulating IL-9-producing CD8+ T cells are associated with eosinophilia and high FeNO in allergic asthmatics. Experimental and Therapeutic Medicine. 12(6). 4055–4060. 9 indexed citations
20.
Wei, Chaojie, Zhenshun Cheng, Li Zhang, & Jiong Yang. (2013). Microbiology and prognostic factors of hospital- and community-acquired aspiration pneumonia in respiratory intensive care unit. American Journal of Infection Control. 41(10). 880–884. 28 indexed citations

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.

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