Xu Shi

3.9k total citations · 1 hit paper
110 papers, 1.8k citations indexed

About

Xu Shi is a scholar working on Physiology, Statistics and Probability and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Xu Shi has authored 110 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Physiology, 23 papers in Statistics and Probability and 17 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Xu Shi's work include Advanced Causal Inference Techniques (21 papers), Asthma and respiratory diseases (14 papers) and Allergic Rhinitis and Sensitization (12 papers). Xu Shi is often cited by papers focused on Advanced Causal Inference Techniques (21 papers), Asthma and respiratory diseases (14 papers) and Allergic Rhinitis and Sensitization (12 papers). Xu Shi collaborates with scholars based in United States, China and United Kingdom. Xu Shi's co-authors include Bhramar Mukherjee, Lars G. Fritsche, Chen Chen, Lauren Zimmermann, Wang Miao, Eric Tchetgen Tchetgen, Brooke K. Mayer, Eric J. Tchetgen Tchetgen, Jennifer C. Nelson and Patrick J. Heagerty and has published in prestigious journals such as JAMA, SHILAP Revista de lepidopterología and Journal of the American Statistical Association.

In The Last Decade

Xu Shi

97 papers receiving 1.7k citations

Hit Papers

Global Prevalence of Post-Coronavirus Disease 2019 (COVID... 2022 2026 2023 2024 2022 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xu Shi United States 17 707 393 352 202 188 110 1.8k
Katy Bell Australia 29 353 0.5× 374 1.0× 160 0.5× 28 0.1× 433 2.3× 159 3.6k
Pratik Sinha United States 25 422 0.6× 663 1.7× 136 0.4× 748 3.7× 44 0.2× 68 3.2k
Talita Duarte‐Salles Spain 26 271 0.4× 406 1.0× 189 0.5× 31 0.2× 57 0.3× 111 2.5k
Stephen W. Smith United States 39 224 0.3× 83 0.2× 197 0.6× 194 1.0× 180 1.0× 245 4.8k
Petros Pechlivanoglou Canada 31 89 0.1× 155 0.4× 146 0.4× 52 0.3× 151 0.8× 127 2.4k
Janice L. Atkins United Kingdom 25 336 0.5× 339 0.9× 166 0.5× 112 0.6× 117 0.6× 62 2.7k
Seyed Ehsan Saffari Singapore 20 467 0.7× 202 0.5× 66 0.2× 28 0.1× 129 0.7× 158 1.5k
Saeed Safari Iran 25 346 0.5× 188 0.5× 55 0.2× 389 1.9× 106 0.6× 155 2.4k
Danila Azzolina Italy 19 95 0.1× 84 0.2× 104 0.3× 112 0.6× 63 0.3× 171 1.7k
Victoria Higgins Canada 21 201 0.3× 217 0.6× 97 0.3× 42 0.2× 33 0.2× 66 1.6k

Countries citing papers authored by Xu Shi

Since Specialization
Citations

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

Fields of papers citing papers by Xu Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xu Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Xu Shi. A scholar is included among the top collaborators of Xu 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 Xu Shi. Xu 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.
Gu, Tian, et al.. (2025). Global Prevalence of Long COVID, Its Subtypes, and Risk Factors: An Updated Systematic Review and Meta-analysis. Open Forum Infectious Diseases. 12(9). ofaf533–ofaf533. 5 indexed citations
2.
Mou, Chunxiao, Xing Zhao, Zhuo Chen, et al.. (2025). The mRNA vaccine expressing fused structural protein of PRRSV protects piglets against PRRSV challenge. Veterinary Microbiology. 305. 110534–110534. 4 indexed citations
3.
Mo, Ruidong, Nan Jia, Y. X. Song, et al.. (2025). Safety and efficacy of rush immunotherapy using house dust mite after one dose of anti-IgE pretreatment. Chinese Science Bulletin (Chinese Version). 71(5-6). 1184–1193.
5.
Hou, Lei, Zhi Geng, Zhongshang Yuan, et al.. (2024). MRSL: a causal network pruning algorithm based on GWAS summary data. Briefings in Bioinformatics. 25(2). 2 indexed citations
6.
Shi, Xu, et al.. (2024). A framework for understanding selection bias in real-world healthcare data. Journal of the Royal Statistical Society Series A (Statistics in Society). 187(3). 606–635. 8 indexed citations
7.
Zhang, Guanghao, Lauren J. Beesley, Bhramar Mukherjee, & Xu Shi. (2024). Patient recruitment using electronic health records under selection bias: A two-phase sampling framework. The Annals of Applied Statistics. 18(3). 1858–1878. 1 indexed citations
8.
Shi, Xu, et al.. (2024). Doubly robust proximal synthetic controls. Biometrics. 80(2). 1 indexed citations
9.
Cook, Andrea J., Bruce Fireman, Maria E. Sundaram, et al.. (2024). Using double-negative controls to adjust for healthy-user bias in a recombinant zoster vaccine safety study. American Journal of Epidemiology. 194(9). 2641–2649. 1 indexed citations
10.
Zahuranec, Darin B., et al.. (2024). Surrogate Decision-Making After Stroke in a Community Setting: The OASIS Project. Stroke. 55(3). 678–686. 1 indexed citations
11.
Vargas, Alejandro, et al.. (2023). Stroke Outcomes Among English- and Spanish-Speaking Mexican American Patients. Neurology. 101(9). 407–411. 4 indexed citations
12.
Fritsche, Lars G., Kisung Nam, Maxwell Salvatore, et al.. (2023). Uncovering associations between pre-existing conditions and COVID-19 Severity: A polygenic risk score approach across three large biobanks. PLoS Genetics. 19(12). e1010907–e1010907. 3 indexed citations
13.
Delhey, Leanna, Xu Shi, Lewis B. Morgenstern, et al.. (2023). Association of Neighborhood Recreation Centers and Poststroke Outcomes in a Population-Based Cohort. Stroke. 54(10). 2583–2592. 2 indexed citations
14.
Lisabeth, Lynda D., Ronald D. Chervin, Xu Shi, et al.. (2023). Longitudinal Assessment of Sleep Apnea in the Year After Stroke in a Population-Based Study. Stroke. 54(9). 2356–2365. 6 indexed citations
15.
Chen, Chen, et al.. (2022). Global Prevalence of Post-Coronavirus Disease 2019 (COVID-19) Condition or Long COVID: A Meta-Analysis and Systematic Review. The Journal of Infectious Diseases. 226(9). 1593–1607. 790 indexed citations breakdown →
16.
Lisabeth, Lynda D., Devin L. Brown, Liming Dong, et al.. (2022). Outcomes in the Year After First‐Ever Ischemic Stroke in a Bi‐Ethnic Population. Annals of Neurology. 93(2). 348–356. 7 indexed citations
17.
Wu, Kuan-Han, Whitney Hornsby, Sarah E. Graham, et al.. (2021). Exposure and risk factors for COVID-19 and the impact of staying home on Michigan residents. PLoS ONE. 16(2). e0246447–e0246447. 14 indexed citations
18.
Zhang, Min, et al.. (2021). A comparison of parametric propensityscore‐basedmethods for causal inference with multiple treatments and a binary outcome. Statistics in Medicine. 40(7). 1653–1677. 6 indexed citations
19.
Shi, Xu. (2005). The Effect of Creative Thinking in the Process of Industrial Design. Packaging Engineering. 2 indexed citations
20.
Shi, Xu, et al.. (2002). THE NO-ARBITRAGE PRICING INTERVAL OF CONTINGENT CLAIMS UNDER TRANSACTION COSTS. Acta Mathematicae Applicatae Sinica English Series. 1 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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