Cuilin Shi

457 total citations
14 papers, 345 citations indexed

About

Cuilin Shi is a scholar working on Infectious Diseases, Epidemiology and Immunology. According to data from OpenAlex, Cuilin Shi has authored 14 papers receiving a total of 345 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Infectious Diseases, 7 papers in Epidemiology and 4 papers in Immunology. Recurrent topics in Cuilin Shi's work include Tuberculosis Research and Epidemiology (7 papers), Mycobacterium research and diagnosis (5 papers) and Cancer Immunotherapy and Biomarkers (3 papers). Cuilin Shi is often cited by papers focused on Tuberculosis Research and Epidemiology (7 papers), Mycobacterium research and diagnosis (5 papers) and Cancer Immunotherapy and Biomarkers (3 papers). Cuilin Shi collaborates with scholars based in China and United States. Cuilin Shi's co-authors include Zhijian Ye, Shan Liu, Wenhui He, Lu Yu, Xing Wang, Zili Zhang, Sudan He, Yun Li, Jun Li and Xuejun Jiang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Biochemical and Biophysical Research Communications and Journal of Plant Physiology.

In The Last Decade

Cuilin Shi

11 papers receiving 343 citations

Peers

Cuilin Shi
Anne Marstad Norway
Manuela Heßmann Germany
Wenyan Zhang China
Gennadiy Novitskiy United States
Fan Jiang China
Long Xu China
Ulf Alexander Wenzel Sweden
Clelia Cicerone Italy
Nicola Patuto Switzerland
Elham Ahmed Hassan Egypt
Anne Marstad Norway
Cuilin Shi
Citations per year, relative to Cuilin Shi Cuilin Shi (= 1×) peers Anne Marstad

Countries citing papers authored by Cuilin Shi

Since Specialization
Citations

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

Fields of papers citing papers by Cuilin Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cuilin Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Cuilin Shi. A scholar is included among the top collaborators of Cuilin Shi 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 Cuilin Shi. Cuilin Shi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
1.
Liu, Jing, Jie Jin, Changguo Wang, et al.. (2025). Use of metagenomic next-generation sequencing for accurate diagnosis of tuberculous pleurisy: a retrospective cohort study. Journal of Thoracic Disease. 17(9). 6771–6778.
2.
Zhang, Wei, Peng Wu, Huixia Yang, et al.. (2025). Optimizing woody oil biodiesel production in yellowhorn via phenotypic marker development: a study of trait–index associations and germplasm screening. Journal of Plant Physiology. 312. 154574–154574.
3.
4.
Liu, Yian, et al.. (2023). Oral Liushen pill for patients with COVID‐19: A prospective randomized controlled trial. Pulmonary Circulation. 13(1). e12187–e12187. 5 indexed citations
5.
Yu, Xin, Yiyan Song, Hui Chen, et al.. (2022). The exhaustion of lymphocytes is the main factor that decreases the sensitivity of QFT-GIT detection in silicosis. BMC Immunology. 23(1). 62–62. 4 indexed citations
6.
Tang, Peijun, Yunlong Hu, Zhijian Ye, et al.. (2022). Autologous Cytokine-Induced Killer Cell Immunotherapy Enhances Chemotherapy Efficacy against Multidrug-Resistant Tuberculosis. Journal of Immunology Research. 2022. 1–10. 1 indexed citations
7.
Shi, Cuilin, Jianping Zhang, Ping Xu, et al.. (2021). Upregulation of PD-1 expression on circulating CD8+ but not CD4+ T cells is associated with tuberculosis infection in health care workers. BMC Immunology. 22(1). 39–39. 1 indexed citations
8.
Shi, Cuilin, Peng Han, Peijun Tang, et al.. (2020). Clinical metagenomic sequencing for diagnosis of pulmonary tuberculosis. Journal of Infection. 81(4). 567–574. 89 indexed citations
9.
Shi, Cuilin, Hui Chen, Zhijian Ye, et al.. (2018). Risk factors of latent tuberculosis infection and immune function in health care workers in Suzhou, China. Journal of Thoracic Disease. 10(12). 6742–6752. 2 indexed citations
10.
Cao, Jun, Cuilin Shi, Yicong Bian, et al.. (2018). First-line anti-tuberculosis drugs induce hepatotoxicity: A novel mechanism based on a urinary metabolomics platform. Biochemical and Biophysical Research Communications. 497(2). 485–491. 40 indexed citations
11.
12.
Li, Ming, Cuilin Shi, Xiaoyan Zhu, et al.. (2017). The Expression of B7-H3 in Circulating CD4+CD25high T Cells, Circulating CD14+ Monocytes and Plasma during Hepatitis B Virus Infection Progression. Clinical Laboratory. 63(03/2017). 617–623. 3 indexed citations
13.
Chen, Xinnian, Cuilin Shi, Meiying Wu, et al.. (2017). More significance of TB‐IGRA except for the diagnose of tuberculosis. Journal of Clinical Laboratory Analysis. 32(1). 10 indexed citations
14.
Wang, Xing, Yun Li, Shan Liu, et al.. (2014). Direct activation of RIP3/MLKL-dependent necrosis by herpes simplex virus 1 (HSV-1) protein ICP6 triggers host antiviral defense. Proceedings of the National Academy of Sciences. 111(43). 15438–15443. 189 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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2026