Shukui Wang

9.6k total citations · 2 hit papers
145 papers, 6.2k citations indexed

About

Shukui Wang is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Shukui Wang has authored 145 papers receiving a total of 6.2k indexed citations (citations by other indexed papers that have themselves been cited), including 80 papers in Molecular Biology, 64 papers in Cancer Research and 26 papers in Oncology. Recurrent topics in Shukui Wang's work include Cancer-related molecular mechanisms research (40 papers), Circular RNAs in diseases (31 papers) and MicroRNA in disease regulation (29 papers). Shukui Wang is often cited by papers focused on Cancer-related molecular mechanisms research (40 papers), Circular RNAs in diseases (31 papers) and MicroRNA in disease regulation (29 papers). Shukui Wang collaborates with scholars based in China, United States and Bangladesh. Shukui Wang's co-authors include Yuqin Pan, Bangshun He, Xiangxiang Liu, Huiling Sun, Xiaoxiang Chen, Kaixuan Zeng, Mu Xu, Bei Pan, Xueni Xu and Tao Xu and has published in prestigious journals such as Nature Medicine, Nano Letters and PLoS ONE.

In The Last Decade

Shukui Wang

143 papers receiving 6.1k citations

Hit Papers

Berberine is a novel cholesterol-lowering drug working th... 2004 2026 2011 2018 2004 2020 250 500 750 1000
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. Berberine is a novel cholesterol-lowering drug working through a unique mechanism distinct from statins
    2004 1.2k citations Shukui Wang et al. profile →
  2. METTL14-mediated N6-methyladenosine modification of SOX4 mRNA inhibits tumor metastasis in colorectal cancer
    2020 280 citations Xiaoxiang Chen, Mu Xu et al. Molecular Cancer profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shukui Wang China 36 4.0k 3.1k 849 738 721 145 6.2k
Lei Xiao China 45 4.5k 1.1× 1.1k 0.3× 358 0.4× 502 0.7× 699 1.0× 148 7.2k
Weiping Chen China 42 3.2k 0.8× 780 0.3× 534 0.6× 765 1.0× 629 0.9× 191 6.5k
Jian Li China 48 5.3k 1.3× 3.3k 1.1× 172 0.2× 773 1.0× 736 1.0× 272 8.2k
Alexander T.H. Wu Taiwan 40 2.6k 0.7× 1.1k 0.4× 296 0.3× 1.1k 1.5× 529 0.7× 170 5.1k
Seyed Mahdi Hassanian Iran 41 3.2k 0.8× 1.8k 0.6× 224 0.3× 1.4k 1.9× 436 0.6× 235 5.9k
Regine Schneider‐Stock Germany 51 3.4k 0.9× 1.0k 0.3× 519 0.6× 1.9k 2.6× 1.0k 1.4× 211 8.4k
Yoshinobu Hirose Japan 41 2.1k 0.5× 749 0.2× 690 0.8× 1.2k 1.7× 1.1k 1.6× 276 5.8k
Vivian Y. Shin Hong Kong 41 3.5k 0.9× 2.6k 0.8× 319 0.4× 672 0.9× 454 0.6× 105 5.3k
Qingyong Ma China 52 3.5k 0.9× 1.8k 0.6× 315 0.4× 2.8k 3.8× 1.1k 1.5× 216 7.4k

Countries citing papers authored by Shukui Wang

Since Specialization
Citations

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

Fields of papers citing papers by Shukui Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shukui Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Shukui Wang. A scholar is included among the top collaborators of Shukui Wang 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 Shukui Wang. Shukui Wang 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.
Qin, Jian, Yuhan Chen, Mu Xu, et al.. (2025). Hypoxia Promotes Malignant Progression of Colorectal Cancer by Inducing POSTN+ Cancer‐Associated Fibroblast Formation. Molecular Carcinogenesis. 64(4). 716–732. 5 indexed citations
3.
4.
Nie, Junjie, Xinwei Liu, Mu Xu, et al.. (2024). GTF2H5 Identified as a crucial synthetic lethal target to counteract chemoresistance in colorectal cancer. Translational Oncology. 49. 102097–102097. 1 indexed citations
5.
Pan, Yuqin, et al.. (2024). Regulation of the Cilia as a Potential Treatment for Senescence and Tumors: A Review. Journal of Cellular Physiology. 240(1). e31499–e31499. 2 indexed citations
6.
Liu, Xiangxiang, Jian Qin, Junjie Nie, et al.. (2023). ANGPTL2+cancer-associated fibroblasts and SPP1+macrophages are metastasis accelerators of colorectal cancer. Frontiers in Immunology. 14. 1185208–1185208. 26 indexed citations
7.
Nie, Zhenlin, Mu Xu, Bei Pan, et al.. (2023). lncSNHG3 drives breast cancer progression by epigenetically increasing CSNK2A1 expression level. Aging. 15(12). 5734–5750. 6 indexed citations
8.
Jiang, Zongdan, et al.. (2022). Oral microbiota may predict the presence of esophageal squamous cell carcinoma. Journal of Cancer Research and Clinical Oncology. 149(8). 4731–4739. 8 indexed citations
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Wang, Ping, et al.. (2020). The diagnostic and prognostic values of microRNA-196a in cancer. Bioscience Reports. 41(1). 19 indexed citations
11.
Xu, Mu, Xueni Xu, Bei Pan, et al.. (2019). LncRNA SATB2-AS1 inhibits tumor metastasis and affects the tumor immune cell microenvironment in colorectal cancer by regulating SATB2. Molecular Cancer. 18(1). 135–135. 206 indexed citations
12.
Xu, Mu, Xiaoxiang Chen, Lin Kang, et al.. (2019). lncRNA SNHG6 regulates EZH2 expression by sponging miR-26a/b and miR-214 in colorectal cancer. Journal of Hematology & Oncology. 12(1). 3–3. 161 indexed citations
13.
Dai, Jie, Lin Kang, Yan Lü, et al.. (2018). Identification of critically carcinogenesis-related genes in basal cell carcinoma. OncoTargets and Therapy. Volume 11. 6957–6967. 12 indexed citations
14.
Chen, Xiaoxiang, Kaixuan Zeng, Mu Xu, et al.. (2018). SP1-induced lncRNA-ZFAS1 contributes to colorectal cancer progression via the miR-150-5p/VEGFA axis. Cell Death and Disease. 9(10). 982–982. 172 indexed citations
15.
16.
Gao, Tianyi, Bangshun He, Yuqin Pan, et al.. (2014). Long non‐coding RNA 91H contributes to the occurrence and progression of esophageal squamous cell carcinoma by inhibiting IGF2 expression. Molecular Carcinogenesis. 54(5). 359–367. 46 indexed citations
17.
Wu, Hailu, Zongdan Jiang, Weijun Cao, et al.. (2013). Increased Endoplasmic Reticulum Stress Response Is Involved in Clopidogrel-Induced Apoptosis of Gastric Epithelial Cells. PLoS ONE. 8(9). e74381–e74381. 13 indexed citations
18.
Zhu, Chan, et al.. (2011). The study on the relationship between XRCC1 gene polymorphisms and the susceptibility of colorectal cancer. Zhonghua xiaohua zazhi. 31(7). 450–454. 5 indexed citations
19.
Wang, Shukui, et al.. (2011). In vivo differentiation of adipose-derived stem cells in an injectable poloxamer-octapeptide hybrid hydrogel. Tissue and Cell. 43(6). 344–349. 16 indexed citations
20.
Wang, Shukui. (2007). CagA+H pyloriinfection is associated with polarization of T helper cell immune responses in gastric carcinogenesis. World Journal of Gastroenterology. 13(21). 2923–2923. 65 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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