Shan Ren

2.4k total citations · 2 hit papers
51 papers, 1.6k citations indexed

About

Shan Ren is a scholar working on Molecular Biology, Epidemiology and Hepatology. According to data from OpenAlex, Shan Ren has authored 51 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 16 papers in Epidemiology and 12 papers in Hepatology. Recurrent topics in Shan Ren's work include Hepatitis B Virus Studies (11 papers), Liver Disease Diagnosis and Treatment (11 papers) and Hepatitis C virus research (11 papers). Shan Ren is often cited by papers focused on Hepatitis B Virus Studies (11 papers), Liver Disease Diagnosis and Treatment (11 papers) and Hepatitis C virus research (11 papers). Shan Ren collaborates with scholars based in China, United States and South Korea. Shan Ren's co-authors include Haibo Xu, Maolun Liu, Hui Zhao, Tianqi Ming, Tao Qiu, Han Yang, Shun Tang, Qiang Sun, Sha Zeng and Han Yang and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Scientific Reports and Frontiers in Immunology.

In The Last Decade

Shan Ren

45 papers receiving 1.6k citations

Hit Papers

Wnt signaling in colorectal cancer: pathogenic role and t... 2022 2026 2023 2024 2022 2022 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Wnt signaling in colorectal cancer: pathogenic role and therapeutic target
    2022 510 citations Hui Zhao, Tianqi Ming et al. profile →
  2. Peppermint essential oil: its phytochemistry, biological activity, pharmacological effect and application
    2022 136 citations Hui Zhao, Shan Ren et al. Biomedicine & Pharmacotherapy profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shan Ren China 20 810 301 232 177 174 51 1.6k
Haibo Xu China 22 954 1.2× 308 1.0× 276 1.2× 165 0.9× 257 1.5× 43 1.8k
Maolun Liu China 13 710 0.9× 250 0.8× 223 1.0× 141 0.8× 118 0.7× 16 1.3k
Shih‐Chang Tsai Taiwan 20 1.2k 1.4× 200 0.7× 279 1.2× 149 0.8× 117 0.7× 56 1.8k
Yi‐Ping Huang Taiwan 27 1.2k 1.5× 401 1.3× 342 1.5× 220 1.2× 125 0.7× 100 2.0k
Myeong‐Sok Lee South Korea 26 1.2k 1.5× 272 0.9× 239 1.0× 141 0.8× 160 0.9× 83 2.1k
Jinhui Zhang China 23 931 1.1× 346 1.1× 179 0.8× 130 0.7× 170 1.0× 98 2.0k
Jin‐Yong Zhou China 24 881 1.1× 275 0.9× 249 1.1× 80 0.5× 106 0.6× 77 1.6k
Wen Zhao China 28 1.0k 1.3× 179 0.6× 194 0.8× 103 0.6× 126 0.7× 103 2.1k

Countries citing papers authored by Shan Ren

Since Specialization
Citations

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

Fields of papers citing papers by Shan Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shan Ren

This figure shows the co-authorship network connecting the top 25 collaborators of Shan Ren. A scholar is included among the top collaborators of Shan Ren 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 Shan Ren. Shan Ren 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.
2.
Dong, Jianxia, Shan Ren, Ping Wu, et al.. (2025). Machine learning prediction of rapid HBsAg seroclearance at week 24 in inactive carriers treated with pegylated interferon. Hepatology International. 19(6). 1331–1346.
3.
Yan, Jie, Lifeng Feng, Wei Han, et al.. (2025). Ertugliflozin induces vasodilation by inhibiting AMPK-mediated mitochondrial fission in vascular smooth muscle cells. European Journal of Pharmacology. 1002. 177784–177784.
4.
Liu, Yisi, Shan Ren, Lina Ma, et al.. (2024). Peg-IFNα combined with hepatitis B vaccination contributes to HBsAg seroconversion and improved immune function. Virology Journal. 21(1). 77–77. 4 indexed citations
5.
Liu, Yisi, Xiao Lin, Zhenhuan Cao, et al.. (2023). Analysis of clinical characteristics of thyroid disorders in patients with chronic hepatitis B treated with pegylated-interferon alpha. BMC Endocrine Disorders. 23(1). 115–115. 4 indexed citations
6.
Ming, Tianqi, Tao Qiu, Shun Tang, et al.. (2022). Curcumin: An epigenetic regulator and its application in cancer. Biomedicine & Pharmacotherapy. 156. 113956–113956. 82 indexed citations
7.
Zeng, Sha, Li Tan, Qiang Sun, et al.. (2022). Suppression of colitis-associated colorectal cancer by scutellarin through inhibiting Hedgehog signaling pathway activity. Phytomedicine. 98. 153972–153972. 27 indexed citations
8.
Lin, Xiao, Hong Li, Junfeng Lu, et al.. (2022). Serum hepatitis B virus large and medium surface proteins as novel tools for predicting HBsAg clearance. Frontiers in Immunology. 13. 1028921–1028921. 3 indexed citations
9.
10.
Sun, Qiang, Man He, Meng Zhang, et al.. (2021). Traditional Chinese Medicine and Colorectal Cancer: Implications for Drug Discovery. Frontiers in Pharmacology. 12. 685002–685002. 58 indexed citations
11.
Sun, Qiang, Maolun Liu, Shan Ren, et al.. (2021). Shikonin, a naphthalene ingredient: Therapeutic actions, pharmacokinetics, toxicology, clinical trials and pharmaceutical researches. Phytomedicine. 94. 153805–153805. 108 indexed citations
12.
Zheng, Weimin, et al.. (2021). Differentiation of Cerebellum-Type and Parkinson-Type of Multiple System Atrophy by Using Multimodal MRI Parameters. Frontiers in Aging Neuroscience. 13. 687649–687649. 2 indexed citations
13.
Li, Nannan, Xinning Zhang, Yao Wang, et al.. (2021). A study on the characteristics of cognitive function in patients with multiple system atrophy in China. Scientific Reports. 11(1). 4995–4995. 6 indexed citations
14.
Chen, Li, Man He, Meng Zhang, et al.. (2021). The Role of non-coding RNAs in colorectal cancer, with a focus on its autophagy. Pharmacology & Therapeutics. 226. 107868–107868. 80 indexed citations
15.
Ouyang, Yan, Yang Xue, Shichao Zhang, et al.. (2021). Alternative splicing acts as an independent prognosticator in ovarian carcinoma. Scientific Reports. 11(1). 10413–10413. 15 indexed citations
16.
Zhang, Hao, et al.. (2020). Cerebellar Atrophy in Multiple System Atrophy (Cerebellar Type) and Its Implication for Network Connectivity. The Cerebellum. 19(5). 636–644. 6 indexed citations
17.
18.
Ren, Shan, Wei Jiang, Hao Liu, et al.. (2017). Effect of axial vertical vibration on degeneration of lumbar intervertebral discs in modified bipedal rats: An in-vivo study. Asian Pacific Journal of Tropical Medicine. 10(7). 714–717. 8 indexed citations
19.
Du, Yi, et al.. (2017). Epstein-Barr virus-encoded small RNAs in idiopathic orbital inflammatory pseudotumor tissues: a comparative case series. International Journal of Ophthalmology. 10(8). 1268–1272. 5 indexed citations
20.
Peng, Qiliu, Shan Ren, Xianjun Lao, et al.. (2014). C-reactive protein genetic polymorphisms increase susceptibility to HBV-related hepatocellular carcinoma in a Chinese population. Tumor Biology. 35(10). 10169–10176. 5 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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