Yinglei Miao

3.6k total citations · 1 hit paper
80 papers, 1.7k citations indexed

About

Yinglei Miao is a scholar working on Molecular Biology, Epidemiology and Genetics. According to data from OpenAlex, Yinglei Miao has authored 80 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Molecular Biology, 25 papers in Epidemiology and 24 papers in Genetics. Recurrent topics in Yinglei Miao's work include Inflammatory Bowel Disease (22 papers), Gut microbiota and health (20 papers) and Clostridium difficile and Clostridium perfringens research (10 papers). Yinglei Miao is often cited by papers focused on Inflammatory Bowel Disease (22 papers), Gut microbiota and health (20 papers) and Clostridium difficile and Clostridium perfringens research (10 papers). Yinglei Miao collaborates with scholars based in China, Hong Kong and United States. Yinglei Miao's co-authors include Yang Sun, Junkun Niu, Siew C. Ng, Yun Kit Yeoh, Francis K.L. Chan, Kunhua Wang, Tao Zuo, Zhanju Liu, Jia Xiao and Yanying Xu and has published in prestigious journals such as Nature Communications, Gastroenterology and PLoS ONE.

In The Last Decade

Yinglei Miao

74 papers receiving 1.7k citations

Hit Papers

Global liver disease burd... 2019 2026 2021 2023 2019 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yinglei Miao China 19 786 484 271 242 235 80 1.7k
Fan Yang China 28 1.4k 1.7× 258 0.5× 415 1.5× 105 0.4× 329 1.4× 167 2.9k
Gabriele Sass United States 32 1.5k 1.9× 611 1.3× 505 1.9× 116 0.5× 437 1.9× 88 3.0k
Ruiying Wang China 20 956 1.2× 453 0.9× 125 0.5× 190 0.8× 225 1.0× 88 1.8k
Luis Fontana Spain 22 1.0k 1.3× 621 1.3× 148 0.5× 195 0.8× 116 0.5× 46 2.1k
Saiyu Hang United States 12 866 1.1× 226 0.5× 400 1.5× 171 0.7× 213 0.9× 15 1.6k
Olfat Hammam Egypt 25 585 0.7× 447 0.9× 155 0.6× 63 0.3× 89 0.4× 152 2.2k
Fang Liu China 31 915 1.2× 512 1.1× 857 3.2× 122 0.5× 206 0.9× 187 2.9k
Yan Guo China 25 741 0.9× 294 0.6× 285 1.1× 93 0.4× 88 0.4× 81 1.9k
Romana R. Gerner Austria 19 936 1.2× 450 0.9× 340 1.3× 155 0.6× 173 0.7× 26 2.0k
Edda Russo Italy 23 1.2k 1.5× 397 0.8× 176 0.6× 283 1.2× 215 0.9× 60 2.1k

Countries citing papers authored by Yinglei Miao

Since Specialization
Citations

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

Fields of papers citing papers by Yinglei Miao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yinglei Miao

This figure shows the co-authorship network connecting the top 25 collaborators of Yinglei Miao. A scholar is included among the top collaborators of Yinglei Miao 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 Yinglei Miao. Yinglei Miao 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.
Ma, Sijia, et al.. (2025). Fermented dairy products intake and stroke risk: analyses of NHANES 2007–2018 data. Frontiers in Nutrition. 12. 1593174–1593174.
2.
Li, Tianhui, Olabisi Oluwabukola Coker, Shiyu Li, et al.. (2024). Multi-Cohort Analysis Reveals Altered Archaea in Colorectal Cancer Fecal Samples Across Populations. Gastroenterology. 168(3). 525–538.e2. 5 indexed citations
3.
Miao, Yinglei, et al.. (2024). Association between tea consumption and stroke in the American adult females: analyses of NHANES 2011–2018 data. Frontiers in Nutrition. 11. 1452137–1452137. 1 indexed citations
4.
Li, Maojuan, Tao Yan, Yang Sun, et al.. (2023). Constructing a prediction model of inflammatory bowel disease recurrence based on factors affecting the quality of life. Frontiers in Medicine. 10. 1041505–1041505. 2 indexed citations
5.
Yan, Ping, Yang Sun, Juan Luo, et al.. (2023). Integrating the serum proteomic and fecal metaproteomic to analyze the impacts of overweight/obesity on IBD: a pilot investigation. Clinical Proteomics. 20(1). 6–6. 10 indexed citations
6.
Gao, Han, Qiong He, Zhi Pang, et al.. (2022). The Development and Validation of Anti-paratuberculosis-nocardia Polypeptide Antibody [Anti-pTNP] for the Diagnosis of Crohn’s Disease. Journal of Crohn s and Colitis. 16(7). 1110–1123. 3 indexed citations
7.
Luo, Juan, Yijie Wang, Wen Wang, et al.. (2022). miR-642a-5p increases glucocorticoid sensitivity by suppressing the TLR4 signalling pathway in THP-1 cells. Biochemistry and Biophysics Reports. 32. 101356–101356. 1 indexed citations
9.
Fang, Leilei, Han Gao, Xiang Gao, et al.. (2021). Risks of Cardiovascular Events in Patients With Inflammatory Bowel Disease in China: A Retrospective Multicenter Cohort Study. Inflammatory Bowel Diseases. 28(Supplement_2). S52–S58. 11 indexed citations
10.
Li, Wendy, Yang Sun, Lin Dai, et al.. (2021). Ecological and network analyses identify four microbial species with potential significance for the diagnosis/treatment of ulcerative colitis (UC). BMC Microbiology. 21(1). 138–138. 35 indexed citations
11.
Yang, Hong, Kaichun Wu, Hongjie Zhang, et al.. (2020). IgA, albumin, and eosinopenia as early indicators of cytomegalovirus infection in patients with acute ulcerative colitis. BMC Gastroenterology. 20(1). 11 indexed citations
12.
Yang, Qin, et al.. (2020). The endogenous ligand for guanylate cyclase-C activation reliefs intestinal inflammation in the DSS colitis model. Acta Biochimica Polonica. 67(3). 333–340. 2 indexed citations
13.
Wang, Wen, Fengrui Zhang, Xiaoyu Li, et al.. (2020). Heat shock transcription factor 2 inhibits intestinal epithelial cell apoptosis through the mitochondrial pathway in ulcerative colitis. Biochemical and Biophysical Research Communications. 527(1). 173–179. 18 indexed citations
14.
Sun, Yang, Tao Zuo, Chun Pan Cheung, et al.. (2020). Population-Level Configurations of Gut Mycobiome Across 6 Ethnicities in Urban and Rural China. Gastroenterology. 160(1). 272–286.e11. 83 indexed citations
15.
Xiao, Yi, Xiangsheng Huang, Ye Zhao, et al.. (2019). Interleukin-33 Promotes REG3γ Expression in Intestinal Epithelial Cells and Regulates Gut Microbiota. Cellular and Molecular Gastroenterology and Hepatology. 8(1). 21–36. 38 indexed citations
16.
Duan, Zilei, Yang Sun, Ning Luan, et al.. (2018). Antimicrobial peptide LL-37 forms complex with bacterial DNA to facilitate blood translocation of bacterial DNA and aggravate ulcerative colitis. Science Bulletin. 63(20). 1364–1375. 15 indexed citations
18.
Chen, Xi, Yongshu He, Yinglei Miao, Zhaoqing Yang, & Liwang Cui. (2017). A young man with severe acute haemolytic anaemia. BMJ. 359. j4263–j4263. 6 indexed citations
19.
Niu, Junkun, Jiarong Miao, Hong Wang, et al.. (2016). Expression of guanylate cyclase-C, guanylin and uroguanylin is downregulated proportionally to the ulcerative colitis disease activity index. Scientific Reports. 6(1). 25034–25034. 32 indexed citations
20.
Miao, Yinglei. (2011). Investigation of alcoholic liver disease in ethnic groups of Yuanjiang county in Yunnan. 4 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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