Shuzhen Shi

1.5k total citations
37 papers, 965 citations indexed

About

Shuzhen Shi is a scholar working on Oncology, Infectious Diseases and Statistics, Probability and Uncertainty. According to data from OpenAlex, Shuzhen Shi has authored 37 papers receiving a total of 965 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Oncology, 7 papers in Infectious Diseases and 7 papers in Statistics, Probability and Uncertainty. Recurrent topics in Shuzhen Shi's work include COVID-19 Clinical Research Studies (7 papers), Meta-analysis and systematic reviews (7 papers) and Long-Term Effects of COVID-19 (5 papers). Shuzhen Shi is often cited by papers focused on COVID-19 Clinical Research Studies (7 papers), Meta-analysis and systematic reviews (7 papers) and Long-Term Effects of COVID-19 (5 papers). Shuzhen Shi collaborates with scholars based in China, United Kingdom and United States. Shuzhen Shi's co-authors include Ya Gao, Jinhui Tian, Ming Liu, Yamin Chen, Junhua Zhang, Kelu Yang, Jiarui Wu, Yuan Yuan, Long Ge and Yue Sun and has published in prestigious journals such as SHILAP Revista de lepidopterología, Cochrane Database of Systematic Reviews and Journal of Clinical Epidemiology.

In The Last Decade

Shuzhen Shi

35 papers receiving 944 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Shuzhen Shi China 12 318 143 116 115 113 37 965
Lin Shen China 21 456 1.4× 258 1.8× 77 0.7× 217 1.9× 336 3.0× 100 1.4k
Ya Gao China 24 428 1.3× 314 2.2× 157 1.4× 163 1.4× 236 2.1× 117 2.2k
Tina Wu China 14 281 0.9× 128 0.9× 14 0.1× 160 1.4× 65 0.6× 53 1.1k
In‐Suk Kim South Korea 26 111 0.3× 363 2.5× 25 0.2× 59 0.5× 164 1.5× 163 2.2k
Ge Li China 17 228 0.7× 244 1.7× 21 0.2× 122 1.1× 140 1.2× 70 1.0k
Yue Dai China 18 60 0.2× 277 1.9× 59 0.5× 20 0.2× 61 0.5× 50 882
Wanxin Liu China 17 156 0.5× 242 1.7× 68 0.6× 53 0.5× 86 0.8× 66 930
Xiuwen Zhang China 12 158 0.5× 133 0.9× 17 0.1× 32 0.3× 74 0.7× 55 690

Countries citing papers authored by Shuzhen Shi

Since Specialization
Citations

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

Fields of papers citing papers by Shuzhen Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuzhen Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Shuzhen Shi. A scholar is included among the top collaborators of Shuzhen 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 Shuzhen Shi. Shuzhen Shi 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.
Lu, Rong, Kailei Tang, Shuzhen Shi, et al.. (2025). The biological association between programmed cell death function and osteoarthritis using multi-omic Mendelian Randomization. SHILAP Revista de lepidopterología. 12. 100102–100102. 1 indexed citations
2.
Shi, Shuzhen, Muhammad Imran, Qingguo Xu, et al.. (2025). Human spindle-shaped urine-derived stem cell exosomes alleviate severe fatty liver ischemia–reperfusion injury by inhibiting ferroptosis via GPX4. Stem Cell Research & Therapy. 16(1). 81–81. 4 indexed citations
3.
Shi, Jiyuan, Ya Gao, Ming Liu, et al.. (2021). A bibliometric analysis of global research output on network meta-analysis. BMC Medical Informatics and Decision Making. 21(1). 144–144. 40 indexed citations
4.
Liu, Ming, Ya Gao, Yuan Yuan, et al.. (2021). Sjogren’s syndrome in clinical trials of traditional Chinese medicine: protocol for the development of a core outcome set. Trials. 22(1). 233–233. 2 indexed citations
5.
Liu, Ming, Ya Gao, Yuan Yuan, et al.. (2021). An evidence mapping and scientometric analysis of the top-100 most cited clinical trials of anti-PD-1/PD-L1 drugs to treat cancers. Biomedicine & Pharmacotherapy. 143. 112238–112238. 9 indexed citations
6.
Gao, Ya, Ming Liu, Shuzhen Shi, et al.. (2021). Prespecification of subgroup analyses and examination of treatment-subgroup interactions in cancer individual participant data meta-analyses are suboptimal. Journal of Clinical Epidemiology. 138. 156–167. 4 indexed citations
7.
Liu, Ming, Ya Gao, Yuan Yuan, et al.. (2020). Efficacy and safety of herbal medicine (Lianhuaqingwen) for treating COVID-19: A systematic review and meta-analysis. Integrative Medicine Research. 10(1). 100644–100644. 59 indexed citations
8.
Gao, Ya, et al.. (2020). The association between severe or dead COVID-19 and autoimmune diseases: A systematic review and meta-analysis. Journal of Infection. 81(3). e93–e95. 43 indexed citations
9.
Gao, Ya, Kelu Yang, Ming Liu, et al.. (2020). Research Collaboration and Outcome Measures of Interventional Clinical Trial Protocols for COVID-19 in China. Frontiers in Public Health. 8. 554247–554247. 2 indexed citations
10.
Gao, Ya, Ming Liu, Shuzhen Shi, et al.. (2020). Diagnostic value of seven biomarkers for breast cancer: an overview with evidence mapping and indirect comparisons of diagnostic test accuracy. Clinical and Experimental Medicine. 20(1). 97–108. 7 indexed citations
11.
Liu, Ming, Ya Gao, Yuan Yuan, et al.. (2020). Efficacy and Safety of Integrated Traditional Chinese and Western Medicine for Corona Virus Disease 2019 (COVID-19): a systematic review and meta-analysis. Pharmacological Research. 158. 104896–104896. 162 indexed citations
12.
Liu, Ming, Ya Gao, Shuzhen Shi, et al.. (2020). Drinking no-links to the severity of COVID-19: a systematic review and meta-analysis. Journal of Infection. 81(2). e126–e127. 9 indexed citations
13.
Gao, Ya, Ming Liu, Yamin Chen, et al.. (2020). Association between tuberculosis and COVID‐19 severity and mortality: A rapid systematic review and meta‐analysis. Journal of Medical Virology. 93(1). 194–196. 92 indexed citations
14.
Gao, Ya, Kelu Yang, Shuzhen Shi, et al.. (2020). Updating systematic reviews can improve the precision of outcomes: a comparative study. Journal of Clinical Epidemiology. 125. 108–119. 4 indexed citations
15.
Liu, Ming, Ya Gao, Yuan Yuan, et al.. (2020). Inconsistency and low transparency were found between core outcome set protocol and full text publication: a comparative study. Journal of Clinical Epidemiology. 131. 59–69. 4 indexed citations
16.
Shi, Shuzhen, Ya Gao, Ming Liu, et al.. (2020). Top 100 most-cited articles on exosomes in the field of cancer: a bibliometric analysis and evidence mapping. Clinical and Experimental Medicine. 21(2). 181–194. 22 indexed citations
17.
Zhang, Yan, et al.. (2019). Effects of different interventions on animal models of ischemic stroke. Medicine. 98(17). e15384–e15384. 3 indexed citations
18.
Li, Jing, et al.. (2019). Efficacy of melanoma patients treated with PD-1 inhibitors. Medicine. 98(27). e16342–e16342. 3 indexed citations
19.
Tian, Jinhui, Shuzhen Shi, Ye Zhao, et al.. (2018). [Complex network analysis of law on Chinese herbal drugs intervention on radiation induced lung injury].. PubMed. 43(14). 3018–3025. 2 indexed citations
20.
Shi, Shuzhen. (2006). Clinical study of arsenic trioxide in the treatment of advanced primary liver cancer. 2 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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