Jin‐Shui Zhu

4.3k total citations · 3 hit papers
57 papers, 3.2k citations indexed

About

Jin‐Shui Zhu is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Jin‐Shui Zhu has authored 57 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Molecular Biology, 20 papers in Cancer Research and 13 papers in Oncology. Recurrent topics in Jin‐Shui Zhu's work include Cancer-related molecular mechanisms research (13 papers), RNA modifications and cancer (10 papers) and Gut microbiota and health (8 papers). Jin‐Shui Zhu is often cited by papers focused on Cancer-related molecular mechanisms research (13 papers), RNA modifications and cancer (10 papers) and Gut microbiota and health (8 papers). Jin‐Shui Zhu collaborates with scholars based in China, United States and Hong Kong. Jin‐Shui Zhu's co-authors include Xiaoyu Chen, Jing Zhang, Jing Zhang, Yanxia Huang, Lidan Hou, Hui‐Ning Fan, Ge Wang, You-Cai Yi, Rui Zhang and Jing Zhang and has published in prestigious journals such as Scientific Reports, Cell Death and Differentiation and Molecular Cancer.

In The Last Decade

Jin‐Shui Zhu

55 papers receiving 3.1k citations

Hit Papers

The role of m6A RNA methylation in human cancer 2017 2026 2020 2023 2019 2017 2022 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jin‐Shui Zhu China 26 2.7k 1.8k 323 220 170 57 3.2k
Yuanyuan Liu China 18 2.2k 0.8× 1.1k 0.6× 256 0.8× 121 0.6× 99 0.6× 47 2.6k
Urszula Dougherty United States 24 1.5k 0.6× 862 0.5× 499 1.5× 175 0.8× 163 1.0× 53 2.3k
Chenchen Liu China 24 1.5k 0.6× 1.1k 0.6× 239 0.7× 102 0.5× 195 1.1× 97 2.1k
Lufeng Zheng China 26 1.7k 0.6× 1.3k 0.7× 443 1.4× 88 0.4× 273 1.6× 66 2.3k
Shanrong Liu China 24 1.5k 0.6× 976 0.5× 414 1.3× 128 0.6× 106 0.6× 56 2.1k
Dixian Luo China 25 1.2k 0.4× 654 0.4× 190 0.6× 105 0.5× 105 0.6× 81 1.9k
Qinong Ye China 31 2.1k 0.8× 1.2k 0.7× 536 1.7× 105 0.5× 248 1.5× 117 2.9k
Talya L. Dayton United States 17 1.1k 0.4× 622 0.3× 460 1.4× 129 0.6× 187 1.1× 28 1.9k
Fangzhou Song China 24 1.0k 0.4× 472 0.3× 244 0.8× 101 0.5× 168 1.0× 69 1.5k
Mingyue Tan China 27 1.6k 0.6× 951 0.5× 272 0.8× 353 1.6× 266 1.6× 75 2.3k

Countries citing papers authored by Jin‐Shui Zhu

Since Specialization
Citations

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

Fields of papers citing papers by Jin‐Shui Zhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jin‐Shui Zhu. 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 Jin‐Shui Zhu. The network helps show where Jin‐Shui Zhu may publish in the future.

Co-authorship network of co-authors of Jin‐Shui Zhu

This figure shows the co-authorship network connecting the top 25 collaborators of Jin‐Shui Zhu. A scholar is included among the top collaborators of Jin‐Shui Zhu 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 Jin‐Shui Zhu. Jin‐Shui Zhu 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.
Yu, Yi, Lili Meng, Xiaoyu Chen, et al.. (2023). m6A reader YTHDF3 is associated with clinical prognosis, related RNA signatures and immunosuppression in gastric cancer. Cellular Signalling. 108. 110699–110699. 13 indexed citations
3.
Chen, Xiaoyu, Da Wei, Rui Liang, et al.. (2021). The Detective Value of Magnetically Controlled Robotic Capsule Endoscopy in Patients With Suspected Small Intestinal Disease. Frontiers in Medicine. 8. 610563–610563. 5 indexed citations
4.
Liang, Rui, Wei Chen, Hui‐Ning Fan, et al.. (2020). Dihydroartemisinin prevents dextran sodium sulphate-induced colitis through inhibition of the activation of NLRP3 inflammasome and p38 MAPK signaling. International Immunopharmacology. 88. 106949–106949. 31 indexed citations
5.
Liang, Rui, Wei Chen, Xiaoyu Chen, et al.. (2020). Dihydroartemisinin inhibits the tumorigenesis and invasion of gastric cancer by regulating STAT1/KDR/MMP9 and P53/BCL2L1/CASP3/7 pathways. Pathology - Research and Practice. 218. 153318–153318. 25 indexed citations
6.
Shen, Bo, et al.. (2020). Lack of PPARβ/δ‐Inactivated SGK‐1 Is Implicated in Liver Carcinogenesis. BioMed Research International. 2020(1). 9563851–9563851. 13 indexed citations
7.
Fan, Hui‐Ning, et al.. (2019). Macrophages-derived p38α promotes the experimental severe acute pancreatitis by regulating inflammation and autophagy. International Immunopharmacology. 77. 105940–105940. 16 indexed citations
8.
Fan, Hui‐Ning, Wei Chen, Shiqiao Peng, et al.. (2019). Sanguinarine inhibits the tumorigenesis of gastric cancer by regulating the TOX/DNA-PKcs/ KU70/80 pathway. Pathology - Research and Practice. 215(11). 152677–152677. 13 indexed citations
9.
Zhang, Jing, Lidan Hou, Rui Liang, et al.. (2019). CircDLST promotes the tumorigenesis and metastasis of gastric cancer by sponging miR-502-5p and activating the NRAS/MEK1/ERK1/2 signaling. Molecular Cancer. 18(1). 125–125. 101 indexed citations
10.
Chen, Xiaoyu, Jing Zhang, & Jin‐Shui Zhu. (2019). The role of m6A RNA methylation in human cancer. Molecular Cancer. 18(1). 103–103. 788 indexed citations breakdown →
11.
Chen, Xiaoyu, Jing Zhang, Lidan Hou, et al.. (2018). Upregulation of PD-L1 predicts poor prognosis and is associated with miR-191-5p dysregulation in colon adenocarcinoma. International Journal of Immunopathology and Pharmacology. 32. 1680027566–1680027566. 31 indexed citations
12.
Liu, Hui, Yuan Liu, Zhaolian Bian, et al.. (2018). Circular RNA YAP1 inhibits the proliferation and invasion of gastric cancer cells by regulating the miR-367-5p/p27 Kip1 axis. Molecular Cancer. 17(1). 151–151. 107 indexed citations
13.
Zhang, Jing, Hui Liu, Lidan Hou, et al.. (2017). Circular RNA_LARP4 inhibits cell proliferation and invasion of gastric cancer by sponging miR-424-5p and regulating LATS1 expression. Molecular Cancer. 16(1). 151–151. 435 indexed citations breakdown →
15.
Zhang, Pengfei, Lulu Sheng, Ge Wang, et al.. (2016). miR-363 promotes proliferation and chemo-resistance of human gastric cancer via targeting of FBW7 ubiquitin ligase expression. Oncotarget. 7(23). 35284–35292. 53 indexed citations
16.
Wang, Ge, Chengcheng Feng, Rui Zhang, et al.. (2015). Toosendanin inhibits growth and induces apoptosis in colorectal cancer cells through suppression of AKT/GSK-3β/β-catenin pathway. International Journal of Oncology. 47(5). 1767–1774. 56 indexed citations
18.
Shi, Yufang, Jin‐Shui Zhu, Paolo Salomoni, Paola Tucci, & Xin Lü. (2009). A Sino–British frontier workshop of cancer biology. Cell Death and Differentiation. 16(4). 648–650. 1 indexed citations
19.
Zhu, Jin‐Shui. (2006). The Effect of NM-3 on Cells Proliferation and Apoptosis of the Human Gastric Cancer Cell SGC-7901 in vitro. 1 indexed citations
20.
Zhu, Jin‐Shui. (2005). Apoptosis mechanisms of human gastric cancer cell line MKN-45 infected with human mutant p27. World Journal of Gastroenterology. 11(47). 7536–7536. 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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