Xiaoting Shi

1.0k total citations
45 papers, 701 citations indexed

About

Xiaoting Shi is a scholar working on Biomaterials, Materials Chemistry and Statistics, Probability and Uncertainty. According to data from OpenAlex, Xiaoting Shi has authored 45 papers receiving a total of 701 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Biomaterials, 6 papers in Materials Chemistry and 5 papers in Statistics, Probability and Uncertainty. Recurrent topics in Xiaoting Shi's work include Magnesium Alloys: Properties and Applications (5 papers), Corrosion Behavior and Inhibition (5 papers) and Academic Publishing and Open Access (3 papers). Xiaoting Shi is often cited by papers focused on Magnesium Alloys: Properties and Applications (5 papers), Corrosion Behavior and Inhibition (5 papers) and Academic Publishing and Open Access (3 papers). Xiaoting Shi collaborates with scholars based in China, United States and United Kingdom. Xiaoting Shi's co-authors include Shufang Zhang, Rongfang Zhao, Rongfa Zhang, Ying Zhao, Guoqiang Li, Hongyu Li, Joshua D. Wallach, Joseph S. Ross, Yu Wang and Xuejun Cui and has published in prestigious journals such as SHILAP Revista de lepidopterología, BMJ and Carbohydrate Polymers.

In The Last Decade

Xiaoting Shi

42 papers receiving 686 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaoting Shi China 15 235 202 141 105 72 45 701
Mingyan Zhang China 17 250 1.1× 72 0.4× 190 1.3× 182 1.7× 79 1.1× 105 1.2k
Jiahui Dong China 19 239 1.0× 121 0.6× 157 1.1× 102 1.0× 29 0.4× 64 1.3k
Jinwei Liu China 18 216 0.9× 45 0.2× 104 0.7× 96 0.9× 60 0.8× 96 931
Byung‐Ho Park South Korea 14 184 0.8× 41 0.2× 237 1.7× 173 1.6× 117 1.6× 87 948
Yingzhe Zhang China 14 158 0.7× 43 0.2× 136 1.0× 61 0.6× 27 0.4× 54 704
Ye Jin Kim South Korea 19 177 0.8× 412 2.0× 440 3.1× 32 0.3× 61 0.8× 67 959
Chi‐Sheng Chien Taiwan 19 272 1.2× 61 0.3× 152 1.1× 336 3.2× 65 0.9× 61 958
Subrata Deb Nath United States 21 71 0.3× 151 0.7× 289 2.0× 177 1.7× 41 0.6× 43 1.1k
Shuang Wang China 13 276 1.2× 80 0.4× 98 0.7× 163 1.6× 77 1.1× 81 815

Countries citing papers authored by Xiaoting Shi

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoting Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoting Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoting Shi. A scholar is included among the top collaborators of Xiaoting 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 Xiaoting Shi. Xiaoting 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.
Zhou, Qiwei & Xiaoting Shi. (2025). How does platform leadership promote employee commitment to digital transformation? — A moderated serial mediation model from the stress perspective. International Journal of Information Management. 83. 102900–102900. 5 indexed citations
2.
Chen, Jinhao, Mujie Ye, Ping Yu, et al.. (2025). FTO-induced APOE promotes the malignant progression of pancreatic neuroendocrine neoplasms through FASN-mediated lipid metabolism. International Journal of Biological Sciences. 21(4). 1478–1496. 4 indexed citations
4.
Li, Nan, et al.. (2024). Effects of roxadustat on thyroid hormone levels and blood lipid metabolism in patients undergoing hemodialysis: a retrospective study. International Journal of Medical Sciences. 21(10). 1806–1813. 1 indexed citations
6.
Chen, Mingan, et al.. (2024). Artificial intelligence tools for optimising recruitment and retention in clinical trials: a scoping review protocol. BMJ Open. 14(3). e080032–e080032. 9 indexed citations
7.
Shi, Xiaoting, Joshua D. Wallach, Xiaomei Ma, & Tormod Rogne. (2024). Autoimmune Diseases and Risk of Non‐Hodgkin Lymphoma: A Mendelian Randomisation Study. Cancer Medicine. 13(21). e70327–e70327. 3 indexed citations
8.
Shi, Xiaoting, Ziang Liu, Hua Wei, et al.. (2024). Quantitative bias analysis methods for summary-level epidemiologic data in the peer-reviewed literature: a systematic review. Journal of Clinical Epidemiology. 175. 111507–111507.
9.
Shi, Xiaoting, et al.. (2023). Spatio-Temporal Evolution and Influencing Factors of Ecological Well-Being Performance from the Perspective of Strong Sustainability: A Case Study of the Three Gorges Reservoir Area, China. International Journal of Environmental Research and Public Health. 20(3). 1810–1810. 3 indexed citations
10.
Yang, Yong, Jihan Sun, Xiaoyu Tan, et al.. (2023). MTM-HCC at Previous Liver Resection as a Predictor of Overall Survival in Salvage Liver Transplantation. Digestive Diseases and Sciences. 68(6). 2768–2777. 4 indexed citations
11.
Liu, Xing, Wei Zhou, Jessica Hahne, et al.. (2023). Informed consent in cancer clinical drug trials in China: a narrative literature review of the past 20 years. Trials. 24(1). 445–445. 1 indexed citations
12.
Shi, Xiaoting, et al.. (2022). Comparison of Clinical Study Results Reported in medRxiv Preprints vs Peer-reviewed Journal Articles. JAMA Network Open. 5(12). e2245847–e2245847. 18 indexed citations
13.
Dhodapkar, Meera M., Xiaoting Shi, Reshma Ramachandran, et al.. (2022). Characterization and corroboration of safety signals identified from the US Food and Drug Administration Adverse Event Reporting System, 2008-19: cross sectional study. BMJ. 379. e071752–e071752. 42 indexed citations
14.
Shi, Xiaoting, et al.. (2022). Moral decision‐making in pettism: The influence of animal type, pet ownership status, and social distance. PsyCh Journal. 12(1). 54–72. 4 indexed citations
15.
Pan, Fenghui, et al.. (2022). Serum lutein is a promising biomarker for type 2 diabetes mellitus and diabetic kidney disease in the elderly. Journal of Clinical Laboratory Analysis. 36(4). e24350–e24350. 9 indexed citations
16.
Ellingson, Mallory K., Xiaoting Shi, Kate Nyhan, et al.. (2021). Publishing at any cost: a cross-sectional study of the amount that medical researchers spend on open access publishing each year. BMJ Open. 11(2). e047107–e047107. 15 indexed citations
17.
Pan, Fenghui, Lei Gao, Xiaoting Shi, et al.. (2021). A Risk Assessment Tool for Identifying Osteoporosis in Older Women with Type 2 Diabetes Mellitus. Experimental and Clinical Endocrinology & Diabetes. 130(7). 426–433. 3 indexed citations
18.
Zhang, Ming, Yanhong Li, Wenhang Wang, et al.. (2020). Comparison of physicochemical and rheology properties of Shiitake stipes-derived chitin nanocrystals and nanofibers. Carbohydrate Polymers. 244. 116468–116468. 41 indexed citations
20.
Meng, Bo, Lulu Shen, Xiaoting Shi, et al.. (2015). Effects of curcumin on TTX-R sodium currents of dorsal root ganglion neurons in type 2 diabetic rats with diabetic neuropathic pain. Neuroscience Letters. 605. 59–64. 21 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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