Yundan Liang

595 total citations
25 papers, 501 citations indexed

About

Yundan Liang is a scholar working on Molecular Biology, Cancer Research and Surgery. According to data from OpenAlex, Yundan Liang has authored 25 papers receiving a total of 501 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 12 papers in Cancer Research and 2 papers in Surgery. Recurrent topics in Yundan Liang's work include Cancer-related molecular mechanisms research (10 papers), MicroRNA in disease regulation (8 papers) and RNA modifications and cancer (7 papers). Yundan Liang is often cited by papers focused on Cancer-related molecular mechanisms research (10 papers), MicroRNA in disease regulation (8 papers) and RNA modifications and cancer (7 papers). Yundan Liang collaborates with scholars based in China and United States. Yundan Liang's co-authors include Linbo Gao, Ruifen Sun, Fang Yuan, Peng Chen, Peng Bai, Lijuan Li, Yanyun Wang, Lin Zhang, Xiaofeng Zeng and Lin Zhang and has published in prestigious journals such as Scientific Reports, Journal of Affective Disorders and Experimental Neurology.

In The Last Decade

Yundan Liang

22 papers receiving 496 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yundan Liang China 15 312 307 92 55 47 25 501
Iván Salido-Guadarrama Mexico 11 503 1.6× 421 1.4× 52 0.6× 57 1.0× 36 0.8× 19 671
Yincheng Teng China 13 319 1.0× 199 0.6× 102 1.1× 81 1.5× 58 1.2× 38 534
Qinyang Xu China 12 248 0.8× 153 0.5× 36 0.4× 59 1.1× 31 0.7× 19 398
Anna Hester Germany 12 174 0.6× 97 0.3× 115 1.3× 129 2.3× 51 1.1× 42 437
Aurelia Vattai Germany 15 226 0.7× 107 0.3× 120 1.3× 210 3.8× 167 3.6× 49 641
Miriam McQuade United States 6 346 1.1× 193 0.6× 70 0.8× 32 0.6× 12 0.3× 14 513
Fei Sun China 14 285 0.9× 144 0.5× 90 1.0× 100 1.8× 64 1.4× 51 512
Rubén Fernández‐Rodríguez Spain 11 181 0.6× 92 0.3× 149 1.6× 67 1.2× 5 0.1× 12 431

Countries citing papers authored by Yundan Liang

Since Specialization
Citations

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

Fields of papers citing papers by Yundan Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yundan Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Yundan Liang. A scholar is included among the top collaborators of Yundan Liang 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 Yundan Liang. Yundan Liang 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.
Xiao, Xiao, Zhao Wang, Xinglin Zhang, et al.. (2025). Gastrodin promotes Alkbh5 nuclear localization and Gclm m6A demethylation to alleviate ferroptosis in ischemic stroke. Phytomedicine. 147. 157177–157177.
2.
Qin, Ran, Shuying Huang, Shuying Huang, et al.. (2024). Cdon is essential for organ left-right patterning by regulating dorsal forerunner cells clustering and Kupffer’s vesicle morphogenesis. Frontiers in Cell and Developmental Biology. 12. 1429782–1429782.
3.
Yang, Xue, et al.. (2024). Association between Mir-17-92 gene promoter polymorphisms and depression in a Chinese population. BMC Medical Genomics. 17(1). 123–123.
4.
Li, Yue, et al.. (2023). Association Between Single Nucleotide Polymorphisms Within lncRNA NONHSAT102891 and Depression Susceptibility in a Chinese Population. Neuropsychiatric Disease and Treatment. Volume 19. 293–302. 3 indexed citations
5.
Wang, Li, et al.. (2023). Correlation between variants of the CREB1 and GRM7 genes and risk of depression. BMC Psychiatry. 23(1). 3–3. 6 indexed citations
6.
7.
Wang, Li, et al.. (2021). The methylenetetrahydrofolate reductase 1298 A>C polymorphism is associated with an increased risk of inflammatory bowel disease: evidence from a meta-analysis. Expert Review of Clinical Immunology. 17(11). 1221–1229. 3 indexed citations
8.
Wang, Qiang, et al.. (2021). N6-methyladenosine RNA modification: A promising regulator in central nervous system injury. Experimental Neurology. 345. 113829–113829. 19 indexed citations
9.
Yang, Mengchang, et al.. (2021). A Meta-Analysis of 5-Hydroxytryptamine Receptor 1B Polymorphisms With Risk of Major Depressive Disorder and Suicidal Behavior. Frontiers in Psychiatry. 12. 696655–696655. 7 indexed citations
10.
Zhu, Meilin, Min Feng, Fei He, et al.. (2018). Pretreatment neutrophil-lymphocyte and platelet-lymphocyte ratio predict clinical outcome and prognosis for cervical Cancer. Clinica Chimica Acta. 483. 296–302. 69 indexed citations
11.
Liang, Yundan, et al.. (2018). Relationship between mortality in people with mental disorders and suicide mortality in China during 2000 to 2014. Medicine. 97(49). e13359–e13359. 3 indexed citations
12.
Yuan, Fang, Ruifen Sun, Lijuan Li, et al.. (2016). A functional variant rs353292 in the flanking region of miR-143/145 contributes to the risk of colorectal cancer. Scientific Reports. 6(1). 30195–30195. 39 indexed citations
13.
Wang, Xun‐Li, Hong Peng, Yundan Liang, et al.. (2015). A Functional Insertion/Deletion Polymorphism in the Promoter Region of the NFKB1 Gene Increases the Risk of Papillary Thyroid Carcinoma. Genetic Testing and Molecular Biomarkers. 19(3). 167–171. 16 indexed citations
14.
Liang, Yundan, et al.. (2015). Genetic variants in the promoters of let-7 family are associated with an increased risk of major depressive disorder. Journal of Affective Disorders. 183. 295–299. 25 indexed citations
15.
Liang, Yundan, Ruifen Sun, Lijuan Li, et al.. (2015). A Functional Polymorphism in the Promoter of MiR-143/145 Is Associated With the Risk of Cervical Squamous Cell Carcinoma in Chinese Women. Medicine. 94(31). e1289–e1289. 39 indexed citations
16.
Sun, Ruifen, Jia Fu, Yundan Liang, et al.. (2015). Interaction analysis of IL-12A and IL-12B polymorphisms with the risk of colorectal cancer. Tumor Biology. 36(12). 9295–9301. 17 indexed citations
17.
Li, Lijuan, Jia Fu, Peng Bai, et al.. (2015). Association between polymorphisms in long non-coding RNA PRNCR1 in 8q24 and risk of gastric cancer. Tumor Biology. 37(1). 299–303. 35 indexed citations
18.
Yuan, Fang, Ruifen Sun, Peng Chen, et al.. (2015). Combined analysis of pri-miR-34b/c rs4938723 and TP53 Arg72Pro with cervical cancer risk. Tumor Biology. 37(5). 6267–6273. 26 indexed citations
19.
Jin, Hongchuan, Yundan Liang, Xun‐Li Wang, et al.. (2014). Association between a functional polymorphism rs712 within let-7-binding site and risk of papillary thyroid cancer. Medical Oncology. 31(10). 221–221. 20 indexed citations
20.
Liang, Yundan, et al.. (2013). Association of Genetic Polymorphisms with Warfarin Dose Requirements in Chinese Patients. Genetic Testing and Molecular Biomarkers. 17(12). 932–936. 18 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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