Min Shi

4.1k total citations
106 papers, 2.2k citations indexed

About

Min Shi is a scholar working on Genetics, Molecular Biology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Min Shi has authored 106 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Genetics, 21 papers in Molecular Biology and 13 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Min Shi's work include Cleft Lip and Palate Research (17 papers), Genetic Associations and Epidemiology (14 papers) and Folate and B Vitamins Research (12 papers). Min Shi is often cited by papers focused on Cleft Lip and Palate Research (17 papers), Genetic Associations and Epidemiology (14 papers) and Folate and B Vitamins Research (12 papers). Min Shi collaborates with scholars based in United States, China and Norway. Min Shi's co-authors include Clarice R. Weinberg, Jeffrey C. Murray, Wei Yu, Kaare Christensen, David M. Umbach, George L. Wehby, Ronald D. Armstrong, Paul A. Romitti, Diana Caprau and Mary L. Marazita and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Min Shi

101 papers receiving 2.1k citations

Peers

Min Shi

GENET

PPCH

RHEUM

SURGE

Qingyuan Zhao United States

Domenica Taruscio Italy

Ana Rath France

Joni L. Rutter United States

Annika Wernerson Sweden

Zornitza Stark Australia

Nicki Tiffin South Africa

Johnathan Watkins United Kingdom

Lucy Gilbert Canada

Qingyuan Zhao United States

Min Shi

1.2k ×1.3

GENET

638 ×1.3

128 ×0.5

PPCH

198 ×0.8

RHEUM

263 ×1.2

SURGE

Citations per year, relative to Min Shi Min Shi (= 1×) peers Qingyuan Zhao

Countries citing papers authored by Min Shi

Since Specialization

Citations

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

Fields of papers citing papers by Min Shi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Min Shi

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

All Works

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20 of 20 papers shown

Qiu, Cheng‐Wei, Min Shi, Xue Feng, et al.. (2025). HvAIR12 confers aluminum tolerance in barley by H2O2-mediated activation of HvEXPA4 to facilitate aluminum detoxification and improve root growth. Journal of Hazardous Materials. 492. 138293–138293. 2 indexed citations

Ventura, Iazsmin Bauer, Michael E. Goldberg, Adam Schiffenbauer, et al.. (2025). Stressful life events are associated with the diagnosis of systemic autoimmune rheumatic diseases among adults. Clinical and Experimental Rheumatology. 43(1). 21–27. 2 indexed citations

Li, Leping, David M. Umbach, Yuanyuan Li, et al.. (2023). Sleep apnoea and hypoventilation in patients with five major types of muscular dystrophy. BMJ Open Respiratory Research. 10(1). e001506–e001506. 5 indexed citations

McGee, Christopher, Min Shi, John S. House, et al.. (2022). Longitudinal Serological Surveillance for COVID-19 Antibodies after Infection and Vaccination. Microbiology Spectrum. 10(5). e0202622–e0202622. 9 indexed citations

Hurson, Amber N., Parichoy Pal Choudhury, Chi Gao, et al.. (2021). Prospective evaluation of a breast-cancer risk model integrating classical risk factors and polygenic risk in 15 cohorts from six countries. International Journal of Epidemiology. 50(6). 1897–1911. 43 indexed citations

Castro, Lysandra, Jingli Liu, Linda Chia‐Hui Yu, et al.. (2021). Differential receptor tyrosine kinase phosphorylation in the uterus of rats following developmental exposure to tetrabromobisphenol A. SHILAP Revista de lepidopterología. 5. 3 indexed citations

Kresovich, Jacob K., Zongli Xu, Katie M. O’Brien, et al.. (2021). Blood DNA methylation profiles improve breast cancer prediction. Molecular Oncology. 16(1). 42–53. 19 indexed citations

Bauer, Anna E., Christy L. Avery, Min Shi, et al.. (2021). Do Genetic Variants Modify the Effect of Smoking on Risk of Preeclampsia in Pregnancy?. American Journal of Perinatology. 41(1). 44–52. 1 indexed citations

Ye, Jianbin, Chao Zhong, Jianqing Ye, et al.. (2019). The clinical value of combined detection of serum angiopoietin 2 and Clara cell protein 16 in the early diagnosis of acute respiratory distress syndrome. Zhonghua jizhen yixue zazhi. 28(9). 1112–1117. 3 indexed citations

10.

Smith, Elise, Bryn Williams–Jones, Zubin Master, et al.. (2019). Misconduct and Misbehavior Related to Authorship Disagreements in Collaborative Science. Science and Engineering Ethics. 26(4). 1967–1993. 45 indexed citations

11.

Orlova, Ekaterina, Andrew Yeh, Min Shi, et al.. (2018). Genetic association and differential expression of PITX2 with acute appendicitis. Human Genetics. 138(1). 37–47. 12 indexed citations

12.

Bauer, Anna E., Christy L. Avery, Min Shi, et al.. (2017). A Family Based Study of Carbon Monoxide and Nitric Oxide Signalling Genes and Preeclampsia. Paediatric and Perinatal Epidemiology. 32(1). 1–12. 2 indexed citations

13.

Shi, Min, David M. Umbach, & Clarice R. Weinberg. (2015). Using parental phenotypes in case-parent studies. Frontiers in Genetics. 6. 221–221. 1 indexed citations

14.

Shi, Min, et al.. (2014). A market-based martingale valuation approach to optimum inventory control in a doubly stochastic jump-diffusion economy. Journal of the Operational Research Society. 66(3). 405–420. 3 indexed citations

15.

Shi, Min, et al.. (2013). Regulation of photosynthetic performance and antioxidant capacity by 60Co γ-irradiation in Zizania latifolia plants. Journal of Environmental Radioactivity. 129. 33–42. 36 indexed citations

16.

Shi, Min, David M. Umbach, & Clarice R. Weinberg. (2012). Case-sibling studies that acknowledge unstudied parents and permit the inclusion of unmatched individuals. International Journal of Epidemiology. 42(1). 298–307. 3 indexed citations

17.

Gao, Jianjun, Michael A. Nalls, Min Shi, et al.. (2012). An exploratory analysis on gene-environment interactions for Parkinson disease. Neurobiology of Aging. 33(10). 2528.e1–2528.e6. 37 indexed citations

18.

Hancock, Dana B., Isabelle Romieu, Min Shi, et al.. (2009). Genome-Wide Association Study Implicates Chromosome 9q21.31 as a Susceptibility Locus for Asthma in Mexican Children. PLoS Genetics. 5(8). e1000623–e1000623. 106 indexed citations

19.

Shi, Min, David M. Umbach, & Clarice R. Weinberg. (2009). Using Case‐parent Triads to Estimate Relative Risks Associated with a Candidate Haplotype. Annals of Human Genetics. 73(3). 346–359. 7 indexed citations

20.

Shi, Min, David M. Umbach, & Clarice R. Weinberg. (2007). Identification of Risk-Related Haplotypes with the Use of Multiple SNPs from Nuclear Families. The American Journal of Human Genetics. 81(1). 53–66. 34 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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