Ruoting Men

867 total citations
37 papers, 664 citations indexed

About

Ruoting Men is a scholar working on Hepatology, Epidemiology and Surgery. According to data from OpenAlex, Ruoting Men has authored 37 papers receiving a total of 664 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Hepatology, 21 papers in Epidemiology and 10 papers in Surgery. Recurrent topics in Ruoting Men's work include Liver Disease Diagnosis and Treatment (20 papers), Liver Diseases and Immunity (16 papers) and Liver physiology and pathology (10 papers). Ruoting Men is often cited by papers focused on Liver Disease Diagnosis and Treatment (20 papers), Liver Diseases and Immunity (16 papers) and Liver physiology and pathology (10 papers). Ruoting Men collaborates with scholars based in China, Hong Kong and United Kingdom. Ruoting Men's co-authors include Li Yang, Tinghong Ye, Maoyao Wen, Xiaoli Fan, Yi Shen, Xiaoxue Yang, Mengyi Shen, Yongjun Zhu, Xiaojing Liu and Yong Peng and has published in prestigious journals such as Scientific Reports, Cell Death and Differentiation and Frontiers in Immunology.

In The Last Decade

Ruoting Men

36 papers receiving 652 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ruoting Men China 17 262 256 229 134 127 37 664
Yanmin Liu China 17 366 1.4× 288 1.1× 247 1.1× 133 1.0× 135 1.1× 74 864
Maki Niioka Japan 9 351 1.3× 377 1.5× 303 1.3× 88 0.7× 167 1.3× 10 802
Gakuhei Son Japan 11 297 1.1× 333 1.3× 229 1.0× 69 0.5× 147 1.2× 15 711
Kotaro Kumagai Japan 16 390 1.5× 226 0.9× 186 0.8× 51 0.4× 103 0.8× 59 791
Shuji Kanmura Japan 18 278 1.1× 171 0.7× 218 1.0× 70 0.5× 202 1.6× 83 891
Kohei Oda Japan 14 240 0.9× 168 0.7× 151 0.7× 50 0.4× 61 0.5× 46 521
José María Vera-Cruz Mexico 10 282 1.1× 250 1.0× 124 0.5× 47 0.4× 68 0.5× 13 563
Shigeki Tsukada United States 6 282 1.1× 374 1.5× 168 0.7× 36 0.3× 100 0.8× 7 585
Andrea S. Bedrosian United States 7 197 0.8× 197 0.8× 176 0.8× 48 0.4× 160 1.3× 8 774
Niranjan Rout India 16 236 0.9× 95 0.4× 159 0.7× 51 0.4× 103 0.8× 49 566

Countries citing papers authored by Ruoting Men

Since Specialization
Citations

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

Fields of papers citing papers by Ruoting Men

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruoting Men

This figure shows the co-authorship network connecting the top 25 collaborators of Ruoting Men. A scholar is included among the top collaborators of Ruoting Men 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 Ruoting Men. Ruoting Men 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.
Jiang, Lan, Zhenru Wu, Shiyu Liu, et al.. (2025). c-Kit+ cells that intercalate with crypt Lgr5+ cells are distinctively multipotent in colonic epithelium renewal and repair. Cell Death and Differentiation. 32(7). 1244–1258.
2.
Shen, Mengyi, Xiaoli Fan, Yi Shen, et al.. (2022). Myeloid-derived suppressor cells ameliorate liver mitochondrial damage to protect against autoimmune hepatitis by releasing small extracellular vesicles. International Immunopharmacology. 114. 109540–109540. 9 indexed citations
3.
Yang, Fan, Leyu Zhou, Yi Shen, et al.. (2022). Metabolic heterogeneity caused by HLA-DRB1*04:05 and protective effect of inosine on autoimmune hepatitis. Frontiers in Immunology. 13. 982186–982186. 6 indexed citations
4.
5.
Shen, Yi, Mengyi Shen, Xiaoli Fan, et al.. (2021). Glucose Metabolism Reprogramming of Regulatory T Cells in Concanavalin A-Induced Hepatitis. Frontiers in Pharmacology. 12. 726128–726128. 16 indexed citations
6.
Wen, Maoyao, et al.. (2020). Worse Response to Ursodeoxycholic Acid in Primary Biliary Cholangitis Patients with Autoimmune Hepatitis Features. Digestive Diseases. 39(4). 366–374. 8 indexed citations
7.
Shen, Mengyi, Yi Shen, Xiaoli Fan, et al.. (2020). Roles of Macrophages and Exosomes in Liver Diseases. Frontiers in Medicine. 7. 583691–583691. 48 indexed citations
8.
Shen, Mengyi, Ruoting Men, Xiaoli Fan, et al.. (2020). Total glucosides of paeony decreases apoptosis of hepatocytes and inhibits maturation of dendritic cells in autoimmune hepatitis. Biomedicine & Pharmacotherapy. 124. 109911–109911. 20 indexed citations
9.
Fan, Xiaoli, Dandan Yin, Ruoting Men, Heng Xu, & Li Yang. (2019). NUDT15 Polymorphism Confer Increased Susceptibility to Thiopurine-Induced Leukopenia in Patients With Autoimmune Hepatitis and Related Cirrhosis. Frontiers in Pharmacology. 10. 346–346. 17 indexed citations
10.
11.
Ye, Tinghong, Tingting Wang, Xiaoxue Yang, et al.. (2018). Comparison of Concanavalin a-Induced Murine Autoimmune Hepatitis Models. Cellular Physiology and Biochemistry. 46(3). 1241–1251. 53 indexed citations
12.
Sun, Rui, Haoyi Weng, Ruoting Men, et al.. (2018). Gene-methylation epistatic analyses via the W-test identifies enriched signals of neuronal genes in patients undergoing lipid-control treatment. BMC Proceedings. 12(S9). 53–53. 3 indexed citations
13.
Ma, Liping, Xiaoxue Yang, Rong Wei, et al.. (2018). MicroRNA-214 promotes hepatic stellate cell activation and liver fibrosis by suppressing Sufu expression. Cell Death and Disease. 9(7). 718–718. 78 indexed citations
14.
Weng, Haoyi, Ruoting Men, Rui Sun, et al.. (2018). Incorporating methylation genome information improves prediction accuracy for drug treatment responses. BMC Genetics. 19(S1). 78–78. 3 indexed citations
15.
Men, Ruoting, Maoyao Wen, Mingyue Zhao, et al.. (2017). MircoRNA-145 promotes activation of hepatic stellate cells via targeting krüppel-like factor 4. Scientific Reports. 7(1). 40468–40468. 22 indexed citations
16.
Dong, Qi, Ruoting Men, Ying Chen, et al.. (2017). Hsc70 regulates the IRES activity and serves as an antiviral target of enterovirus A71 infection. Antiviral Research. 150. 39–46. 32 indexed citations
17.
Wen, Maoyao, Ruoting Men, Xiaojing Liu, & Li Yang. (2016). Involvement of miR-30c in hepatic stellate cell activation through the repression of plasminogen activator inhibitor-1. Life Sciences. 155. 21–28. 12 indexed citations
18.
Li, Feng, Maoyao Wen, Yongjun Zhu, Ruoting Men, & Li Yang. (2015). Sequential Therapy or Standard Triple Therapy for Helicobacter pylori Infection. American Journal of Therapeutics. 23(3). e880–e893. 34 indexed citations
19.
Men, Ruoting, Maoyao Wen, Yongjun Zhu, et al.. (2014). Nogo‐B: A potential indicator for hepatic cirrhosis and regulator in hepatic stellate cell activation. Hepatology Research. 45(1). 113–122. 24 indexed citations
20.
Zhu, Yongjun, Ruoting Men, Maoyao Wen, et al.. (2013). Blockage of TRPM7 channel induces hepatic stellate cell death through endoplasmic reticulum stress-mediated apoptosis. Life Sciences. 94(1). 37–44. 26 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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