Shukui Wang

1.7k total citations
39 papers, 1.4k 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 39 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 16 papers in Cancer Research and 14 papers in Oncology. Recurrent topics in Shukui Wang's work include Circular RNAs in diseases (9 papers), Cancer-related molecular mechanisms research (9 papers) and MicroRNA in disease regulation (8 papers). Shukui Wang is often cited by papers focused on Circular RNAs in diseases (9 papers), Cancer-related molecular mechanisms research (9 papers) and MicroRNA in disease regulation (8 papers). Shukui Wang collaborates with scholars based in China and United Kingdom. Shukui Wang's co-authors include Yuqin Pan, Huiling Sun, Qiwen Deng, Hou‐Qun Ying, Bangshun He, Tianyi Gao, Bangshun He, Xian Liu, Yeqiong Xu and Feng Wang and has published in prestigious journals such as PLoS ONE, Scientific Reports and Gene.

In The Last Decade

Shukui Wang

38 papers receiving 1.4k citations

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 21 609 585 579 212 183 39 1.4k
Junichiro Hiro Japan 27 478 0.8× 980 1.7× 556 1.0× 360 1.7× 474 2.6× 114 1.9k
Shozo Ide Japan 19 311 0.5× 432 0.7× 349 0.6× 180 0.8× 223 1.2× 48 1.1k
Mónica Grafals United States 15 420 0.7× 198 0.3× 585 1.0× 99 0.5× 218 1.2× 27 1.4k
Daisuke Izumi Japan 27 399 0.7× 635 1.1× 548 0.9× 413 1.9× 573 3.1× 64 1.7k
Hye Sung Won South Korea 22 284 0.5× 519 0.9× 376 0.6× 289 1.4× 227 1.2× 88 1.3k
Vlad Herlea Romania 20 313 0.5× 424 0.7× 367 0.6× 224 1.1× 389 2.1× 120 1.2k
Désirée Tampe Germany 17 203 0.3× 283 0.5× 612 1.1× 333 1.6× 127 0.7× 46 1.4k
Kaiming Wu China 18 589 1.0× 509 0.9× 564 1.0× 175 0.8× 218 1.2× 37 1.3k
W. Martin Howell United Kingdom 19 352 0.6× 456 0.8× 491 0.8× 171 0.8× 256 1.4× 39 1.6k
Wenzhuo He China 19 325 0.5× 878 1.5× 241 0.4× 279 1.3× 296 1.6× 84 1.3k

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.
Chen, Yuhan, Jian Qin, Junjie Nie, et al.. (2025). ERO1A-positive tumor epithelial cells in colorectal cancer progression: a multi-omics perspective. APOPTOSIS. 30(11-12). 3044–3068.
2.
Qin, Jian G., et al.. (2024). Selumetinib overcomes ITGA2-induced 5-fluorouracil resistance in colorectal cancer. International Immunopharmacology. 137. 112487–112487. 2 indexed citations
3.
Pan, Yuqin, Bangshun He, Huiling Sun, et al.. (2020). <p>Susceptibility of <em>PON1</em>/<em>PON2</em> Genetic Variations to Ischemic Stroke Risk in a Chinese Han Population</p>. Pharmacogenomics and Personalized Medicine. Volume 13. 563–570. 7 indexed citations
4.
Pan, Bei, Bangshun He, Xueni Xu, et al.. (2019). <p>MicroRNA-371-3 cluster as biomarkers for the diagnosis and prognosis of cancers</p>. Cancer Management and Research. Volume 11. 5437–5457. 7 indexed citations
5.
Chen, Jie, Yuqin Pan, Bangshun He, et al.. (2018). Meta-analysis of prognostic value of inflammation parameter in breast cancer. Journal of Cancer Research and Therapeutics. 14(Suppl 1). S85–S89. 13 indexed citations
6.
Deng, Qiwen, Bangshun He, Xian Liu, et al.. (2015). Prognostic value of pre-operative inflammatory response biomarkers in gastric cancer patients and the construction of a predictive model. Journal of Translational Medicine. 13(1). 66–66. 167 indexed citations
7.
Chen, Jie, Yuqin Pan, Bangshun He, et al.. (2015). Inhibition of CD147 expression by RNA interference reduces proliferation, invasion and increases chemosensitivity in cancer stem cell-like HT-29 cells. International Journal of Oncology. 47(4). 1476–1484. 10 indexed citations
8.
Ying, Hou‐Qun, Jie Chen, Bangshun He, et al.. (2015). The effect of BIM deletion polymorphism on intrinsic resistance and clinical outcome of cancer patient with kinase inhibitor therapy. Scientific Reports. 5(1). 11348–11348. 20 indexed citations
9.
Pan, Yuqin, Bangshun He, Jie Chen, et al.. (2015). Gene therapy for colorectal cancer by adenovirus-mediated siRNA targeting CD147 based on loss of the IGF2 imprinting system. International Journal of Oncology. 47(5). 1881–1889. 10 indexed citations
10.
Ying, Hou‐Qun, Huiling Sun, Bangshun He, et al.. (2015). Circulating vitamin D binding protein, total, free and bioavailable 25-hydroxyvitamin D and risk of colorectal cancer. Scientific Reports. 5(1). 7956–7956. 36 indexed citations
11.
He, Bangshun, Yuqin Pan, Yeqiong Xu, et al.. (2015). Associations of polymorphisms in microRNAs with female breast cancer risk in Chinese population. Tumor Biology. 36(6). 4575–4582. 39 indexed citations
12.
Ying, Hou‐Qun, et al.. (2015). Circulating miR-148/152 family as potential biomarkers in hepatocellular carcinoma. Tumor Biology. 37(4). 4945–4953. 29 indexed citations
13.
He, Bangshun, Yuqin Pan, Lin Kang, et al.. (2015). Evaluation the susceptibility of five polymorphisms in microRNA-binding sites to female breast cancer risk in Chinese population. Gene. 573(1). 160–165. 11 indexed citations
14.
Gao, Tianyi, Bangshun He, Yuqin Pan, et al.. (2015). Association of Clostridium difficile infection in hospital mortality: A systematic review and meta-analysis. American Journal of Infection Control. 43(12). 1316–1320. 21 indexed citations
15.
Deng, Qiwen, Bangshun He, Tianyi Gao, et al.. (2014). Up-Regulation of 91H Promotes Tumor Metastasis and Predicts Poor Prognosis for Patients with Colorectal Cancer. PLoS ONE. 9(7). e103022–e103022. 75 indexed citations
16.
Deng, Qiwen, Huiling Sun, Bangshun He, et al.. (2014). Prognostic Value of Long Non-Coding RNA HOTAIR in Various Cancers. PLoS ONE. 9(10). e110059–e110059. 32 indexed citations
17.
Xu, Yeqiong, Bangshun He, Yuqin Pan, et al.. (2014). Systematic review and meta-analysis on vitamin D receptor polymorphisms and cancer risk. Tumor Biology. 35(5). 4153–4169. 61 indexed citations
18.
Xu, Yeqiong, Qiwen Deng, Bangshun He, et al.. (2014). The diplotype Fas −1377A/−670G as a genetic marker to predict a lower risk of breast cancer in Chinese women. Tumor Biology. 35(9). 9147–9161. 5 indexed citations
19.
Xu, Yeqiong, Ling Gu, Yuqin Pan, et al.. (2013). Different Effects of Three Polymorphisms in MicroRNAs on Cancer Risk in Asian Population: Evidence from Published Literatures. PLoS ONE. 8(6). e65123–e65123. 32 indexed citations
20.
Zhang, Ruisheng, et al.. (2010). Polymorphism of angiotensin-converting enzyme gene and type 2 diabetes.. Xiandai shengwu yixue jinzhan. 10(18). 3486–3488. 1 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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