Man Mi

465 total citations
25 papers, 269 citations indexed

About

Man Mi is a scholar working on Molecular Biology, Epidemiology and Cancer Research. According to data from OpenAlex, Man Mi has authored 25 papers receiving a total of 269 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 8 papers in Epidemiology and 7 papers in Cancer Research. Recurrent topics in Man Mi's work include Liver Disease Diagnosis and Treatment (7 papers), Cancer, Lipids, and Metabolism (3 papers) and Hepatitis B Virus Studies (3 papers). Man Mi is often cited by papers focused on Liver Disease Diagnosis and Treatment (7 papers), Cancer, Lipids, and Metabolism (3 papers) and Hepatitis B Virus Studies (3 papers). Man Mi collaborates with scholars based in China, Italy and United Kingdom. Man Mi's co-authors include Xingchun Gou, Na Guo, Dian Zhang, Lei Fan, Zhenggang Yue, Gong Feng, Na He, Jin Meng, Qibing Mei and Yang Sun and has published in prestigious journals such as Cochrane Database of Systematic Reviews, Gene and Diabetes Obesity and Metabolism.

In The Last Decade

Man Mi

23 papers receiving 255 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Man Mi China	10	89	68	41	35	31	25	269
Tao Yao China	8	149 1.7×	66 1.0×	45 1.1×	26 0.7×	29 0.9×	10	434
Nalini Devarajan India	12	145 1.6×	77 1.1×	40 1.0×	23 0.7×	25 0.8×	20	408
Huifan Yu China	10	143 1.6×	68 1.0×	49 1.2×	22 0.6×	25 0.8×	21	317
Joanna Rywaniak Poland	13	101 1.1×	34 0.5×	57 1.4×	35 1.0×	54 1.7×	26	399
Xia Qiu China	10	126 1.4×	46 0.7×	31 0.8×	38 1.1×	43 1.4×	18	320
Mengqiao Lian China	7	169 1.9×	52 0.8×	43 1.0×	47 1.3×	55 1.8×	9	389
Chiu-Chu Liao Taiwan	12	100 1.1×	66 1.0×	19 0.5×	20 0.6×	25 0.8×	17	332
Wessam F. El-Hadidy Egypt	11	86 1.0×	78 1.1×	19 0.5×	32 0.9×	44 1.4×	21	326
Hung‐Jen Lin Taiwan	15	127 1.4×	54 0.8×	33 0.8×	34 1.0×	41 1.3×	28	416
Lucas Tadeu Bidinotto Brazil	10	101 1.1×	38 0.6×	49 1.2×	21 0.6×	24 0.8×	37	344

Countries citing papers authored by Man Mi

Since Specialization

Citations

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

Fields of papers citing papers by Man Mi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Man Mi

This figure shows the co-authorship network connecting the top 25 collaborators of Man Mi. A scholar is included among the top collaborators of Man Mi 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 Man Mi. Man Mi 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

Feng, Gong, Giovanni Targher, Christopher D. Byrne, et al.. (2025). Biomarker Discovery for Metabolic Dysfunction-associated Steatotic Liver Disease Utilizing Mendelian Randomization, Machine Learning, and External Validation. Journal of Clinical and Translational Hepatology. 0(0). 0–0.

Feng, Gong, Na He, Jing Gao, et al.. (2024). Causal relationship between key genes and metabolic dysfunction‐associated fatty liver disease risk mediated by immune cells: A Mendelian randomization and mediation analysis. Diabetes Obesity and Metabolism. 26(12). 5590–5599.

Feng, Gong, Kenneth I. Zheng, Liang‐Jie Tang, et al.. (2022). Glycemic control predicts the risk of hepatic fibrosis in biopsy-proven NAFLD: a possible mediating role for leukemia inhibitory factor?. PubMed. 1(1). 30–34. 4 indexed citations

Feng, Gong, Na He, Qinqin Yan, et al.. (2022). Transient Elastography Research Hotspots and Frontiers in Nonalcoholic Fatty Liver Disease: A Bibliometric Study Using CiteSpace. 7(2). 77–87. 2 indexed citations

Feng, Gong, Na He, Harry Hua‐Xiang Xia, et al.. (2022). Machine learning algorithms based on proteomic data mining accurately predicting the recurrence of hepatitis B‐related hepatocellular carcinoma. Journal of Gastroenterology and Hepatology. 37(11). 2145–2153. 6 indexed citations

Feng, Gong, Kenneth I. Zheng, Yangyang Li, et al.. (2021). Machine learning algorithm outperforms fibrosis markers in predicting significant fibrosis in biopsy‐confirmed NAFLD. Journal of Hepato-Biliary-Pancreatic Sciences. 28(7). 593–603. 28 indexed citations

Feng, Gong, Man-Ling Liu, Xiaozhou Zhang, et al.. (2020). Clinical Features of COVID-19 Patients in Xiaogan City. SN Comprehensive Clinical Medicine. 2(10). 1717–1723. 2 indexed citations

Li, Xueping, et al.. (2020). The advantage of polyethylene glycol electrolyte solution combined with lactulose in patients with long interval preparation-to-colonoscopy. The Turkish Journal of Gastroenterology. 31(1). 23–29. 8 indexed citations

Feng, Gong, Xueping Li, Chunyan Niu, et al.. (2020). Bioinformatics analysis reveals novel core genes associated with nonalcoholic fatty liver disease and nonalcoholic steatohepatitis. Gene. 742. 144549–144549. 27 indexed citations

10.

Feng, Gong, Na He, Yifan Zhou, et al.. (2018). A simpler diagnostic formula for screening nonalcoholic fatty liver disease. Clinical Biochemistry. 64. 18–23. 10 indexed citations

11.

Hou, Jin, Fen Li, Xinhua Li, Qibing Mei, & Man Mi. (2016). [Lily polysaccharide 1 enhances the effect of metformin on proliferation and apoptosis of human breast carcinoma cells].. PubMed. 32(6). 780–3. 4 indexed citations

12.

Guo, Na, Xingchun Gao, Yanke Chen, et al.. (2014). Berberine sensitizes rapamycin-mediated human hepatoma cell death in vitro. Molecular Medicine Reports. 10(6). 3132–3138. 22 indexed citations

13.

Zhang, Dian, Man Mi, Yang Sun, et al.. (2014). Apple Polysaccharide Reduces Nf-Kb Mediated Colitis-Associated Colon Carcinogenesis. Nutrition and Cancer. 67(1). 177–190. 21 indexed citations

14.

Zhang, Dian, Yuhua Li, Man Mi, et al.. (2013). Modified apple polysaccharides suppress the migration and invasion of colorectal cancer cells induced by lipopolysaccharide. Nutrition Research. 33(10). 839–848. 43 indexed citations

15.

Qin, Yu, Yuan Zeng, Peng Liu, et al.. (2013). Isoflavones for hypercholesterolaemia in adults. Cochrane Database of Systematic Reviews. 2013(6). CD009518–CD009518. 28 indexed citations

16.

Tang, Xu, et al.. (2012). CD147/EMMPRIN: an effective therapeutic target for hepatocellular carcinoma. Journal of drug targeting. 21(3). 224–231. 22 indexed citations

17.

Wei, Na, Man Mi, & Yong Zhou. (2006). Influences of Lovastatin on membrane ion flow and intracellular signaling in breast cancer cells. Cellular & Molecular Biology Letters. 12(1). 1–15. 15 indexed citations

18.

Mi, Man. (2005). Effects of calcium channel blocker MN9201 on hemodynamics of rabbits. 1 indexed citations

19.

Wang, Qing, Man Mi, Guangfu Ma, & Pieter Spronck. (2005). Evolving a neural controller for a ball-and-beam system. 2. 757–761. 10 indexed citations

20.

Mi, Man, et al.. (2004). [Effect of genistein on expression of angiogenesis related factors in HER-2/neu-overexpressing breast cancer cells].. PubMed. 37(3). 251–3. 8 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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