Ying Zan

871 total citations
21 papers, 640 citations indexed

About

Ying Zan is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Ying Zan has authored 21 papers receiving a total of 640 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 11 papers in Cancer Research and 4 papers in Oncology. Recurrent topics in Ying Zan's work include RNA modifications and cancer (6 papers), MicroRNA in disease regulation (5 papers) and Circular RNAs in diseases (4 papers). Ying Zan is often cited by papers focused on RNA modifications and cancer (6 papers), MicroRNA in disease regulation (5 papers) and Circular RNAs in diseases (4 papers). Ying Zan collaborates with scholars based in China, United States and Australia. Ying Zan's co-authors include Lili Han, Xiaoran Yin, Lijun Jia, Shan Huang, Ya Guo, Zhijun Dai, Lingqin Song, Xi-Jing Wang, Huafeng Kang and Di Liu and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Life Sciences and Oncotarget.

In The Last Decade

Ying Zan

21 papers receiving 632 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ying Zan China 12 403 239 81 80 62 21 640
Ai-Mei Gao China 9 577 1.4× 249 1.0× 91 1.1× 76 0.9× 64 1.0× 15 763
Sundas Fayyaz Pakistan 14 473 1.2× 183 0.8× 46 0.6× 84 1.1× 79 1.3× 37 780
Ji Hye Kim South Korea 15 483 1.2× 190 0.8× 50 0.6× 117 1.5× 78 1.3× 33 755
Amrita Devi Khwairakpam India 9 368 0.9× 178 0.7× 67 0.8× 62 0.8× 30 0.5× 9 623
Mianhua Wu China 14 436 1.1× 172 0.7× 67 0.8× 99 1.2× 93 1.5× 55 680
Veronica Cocetta Italy 13 317 0.8× 176 0.7× 64 0.8× 98 1.2× 51 0.8× 28 632
Kequn Chai China 14 387 1.0× 196 0.8× 55 0.7× 82 1.0× 86 1.4× 34 607
Julio Isael Pérez‐Carreón Mexico 17 468 1.2× 141 0.6× 44 0.5× 73 0.9× 97 1.6× 47 772
Yi-Shih Ma Taiwan 13 423 1.0× 125 0.5× 96 1.2× 93 1.2× 44 0.7× 14 735
Chien-Chih Yu Taiwan 17 482 1.2× 168 0.7× 72 0.9× 120 1.5× 53 0.9× 28 788

Countries citing papers authored by Ying Zan

Since Specialization
Citations

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

Fields of papers citing papers by Ying Zan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ying Zan

This figure shows the co-authorship network connecting the top 25 collaborators of Ying Zan. A scholar is included among the top collaborators of Ying Zan 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 Ying Zan. Ying Zan 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.
Zhang, Yajuan, Yunfeng Ni, Xiaohui Jia, et al.. (2024). Construction of a nomogram model based on biomarkers for liver metastasis in non‐small cell lung cancer. Thoracic Cancer. 15(26). 1897–1911. 1 indexed citations
2.
Zan, Ying, et al.. (2024). Extreme precipitation alters soil nitrogen cycling related microbial community in karst abandoned farmland. Applied Soil Ecology. 197. 105345–105345. 10 indexed citations
3.
Wang, Baofeng, Xiaobin Ma, Liang Li, et al.. (2023). Impact of NOTCH1 polymorphisms on liver cancer in a Chinese Han population. Cell Cycle. 22(9). 1127–1134. 2 indexed citations
4.
Wang, Baofeng, Weili Min, Wenjie Zhang, et al.. (2022). PIK3R3 Missense and NOTCH2 Synonymous Single Nucleotide Polymorphisms Are Associated with Liver Cancer. Digestive Diseases. 41(3). 458–467. 1 indexed citations
5.
6.
Ma, Xiaobin, Peng Xu, Li Ma, et al.. (2022). LncRNA-p21 suppresses cell proliferation and induces apoptosis in gastric cancer by sponging miR-514b-3p and up-regulating ARHGEF9 expression. Biological Chemistry. 403(10). 945–958. 5 indexed citations
7.
Han, Lili, Lijun Jia, & Ying Zan. (2020). Long intergenic noncoding RNA smad7 (Linc‐smad7) promotes the epithelial‐mesenchymal transition of HCC by targeting the miR‑125b/SIRT6 axis. Cancer Medicine. 9(23). 9123–9137. 10 indexed citations
8.
Zhang, Jiashan, et al.. (2020). Population pharmacokinetic/pharmacodynamic modelling of nifekalant in healthy Chinese volunteers. European Journal of Pharmaceutical Sciences. 151. 105385–105385. 1 indexed citations
9.
Zan, Ying, Baofeng Wang, Liang Liang, et al.. (2019). MicroRNA-139 inhibits hepatocellular carcinoma cell growth through down-regulating karyopherin alpha 2. Journal of Experimental & Clinical Cancer Research. 38(1). 182–182. 39 indexed citations
10.
Han, Lili, Ying Zan, Chen Huang, & Shuqun Zhang. (2019). NELFE promoted pancreatic cancer metastasis and the epithelial‑to‑mesenchymal transition by decreasing the stabilization of NDRG2 mRNA. International Journal of Oncology. 55(6). 1313–1323. 14 indexed citations
12.
Song, Lingqin, Di Liu, Yang Zhao, et al.. (2018). Sinomenine reduces growth and metastasis of breast cancer cells and improves the survival of tumor-bearing mice through suppressing the SHh pathway. Biomedicine & Pharmacotherapy. 98. 687–693. 26 indexed citations
13.
Song, Lingqin, Zhijun Dai, Shuqun Zhang, et al.. (2018). MicroRNA-1179 suppresses cell growth and invasion by targeting sperm-associated antigen 5-mediated Akt signaling in human non-small cell lung cancer. Biochemical and Biophysical Research Communications. 504(1). 164–170. 37 indexed citations
14.
Jia, Lijun, Shan Huang, Xiaoran Yin, et al.. (2018). Quercetin suppresses the mobility of breast cancer by suppressing glycolysis through Akt-mTOR pathway mediated autophagy induction. Life Sciences. 208. 123–130. 235 indexed citations
15.
Ma, Xiaobin, et al.. (2018). MicroRNA-1292-5p inhibits cell growth, migration and invasion of gastric carcinoma by targeting DEK.. PubMed. 8(7). 1228–1238. 15 indexed citations
16.
Song, Lingqin, Di Liu, Yang Zhao, et al.. (2015). Sinomenine inhibits breast cancer cell invasion and migration by suppressing NF-κB activation mediated by IL-4/miR-324-5p/CUEDC2 axis. Biochemical and Biophysical Research Communications. 464(3). 705–710. 74 indexed citations
17.
Ma, Xiaobin, et al.. (2015). Prognostic Significance of MiR-34a Expression in Patients with Gastric Cancer after Radical Gastrectomy. Chinese Medical Journal. 128(19). 2632–2637. 12 indexed citations
18.
Wang, Baofeng, Xi-Jing Wang, Huafeng Kang, et al.. (2014). Saikosaponin-D Enhances Radiosensitivity of Hepatoma Cells under Hypoxic Conditions by Inhibiting Hypoxia-Inducible Factor-1a. Cellular Physiology and Biochemistry. 33(1). 37–51. 43 indexed citations
19.
Wang, Baofeng, Zhijun Dai, Xi-Jing Wang, et al.. (2013). Saikosaponin-d increases the radiosensitivity of smmc-7721 hepatocellular carcinoma cells by adjusting the g0/g1 and g2/m checkpoints of the cell cycle. BMC Complementary and Alternative Medicine. 13(1). 263–263. 37 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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