Liudi Yuan

1.0k total citations
32 papers, 796 citations indexed

About

Liudi Yuan is a scholar working on Molecular Biology, Cancer Research and Hematology. According to data from OpenAlex, Liudi Yuan has authored 32 papers receiving a total of 796 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 19 papers in Cancer Research and 4 papers in Hematology. Recurrent topics in Liudi Yuan's work include MicroRNA in disease regulation (15 papers), Circular RNAs in diseases (7 papers) and Cancer-related molecular mechanisms research (7 papers). Liudi Yuan is often cited by papers focused on MicroRNA in disease regulation (15 papers), Circular RNAs in diseases (7 papers) and Cancer-related molecular mechanisms research (7 papers). Liudi Yuan collaborates with scholars based in China, United States and Bangladesh. Liudi Yuan's co-authors include Chao Wan, Zhenji Gan, Muhammad Rizwan Younis, Sheng Zhao, Yan Kong, Youyong Kong, Na Liu, Yao Zhang, Lin Liu and Xijun Liang and has published in prestigious journals such as Blood, PLoS ONE and Coordination Chemistry Reviews.

In The Last Decade

Liudi Yuan

32 papers receiving 789 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Liudi Yuan China 16 478 365 71 63 58 32 796
Xiaoxiao He China 17 452 0.9× 180 0.5× 31 0.4× 52 0.8× 72 1.2× 54 810
Yoshinao Ruike Japan 8 499 1.0× 225 0.6× 75 1.1× 28 0.4× 19 0.3× 10 713
Wenjing Zhang China 15 492 1.0× 256 0.7× 44 0.6× 45 0.7× 74 1.3× 44 1.1k
Xueqing Xu China 18 695 1.5× 440 1.2× 85 1.2× 71 1.1× 22 0.4× 44 1.1k
Monika Deshpande United States 17 370 0.8× 190 0.5× 28 0.4× 69 1.1× 16 0.3× 23 752
Ada Rozen Israel 8 489 1.0× 173 0.5× 37 0.5× 57 0.9× 13 0.2× 13 730
Tatsuro Yamamoto Japan 19 564 1.2× 152 0.4× 93 1.3× 87 1.4× 11 0.2× 47 957
Catalina Flores-Maldonado Mexico 17 752 1.6× 100 0.3× 72 1.0× 64 1.0× 16 0.3× 32 1.1k
Armando Magrelli Italy 16 554 1.2× 132 0.4× 24 0.3× 52 0.8× 25 0.4× 33 1.0k
Ana Sofia Rodrigues Portugal 14 717 1.5× 169 0.5× 100 1.4× 81 1.3× 17 0.3× 27 1.0k

Countries citing papers authored by Liudi Yuan

Since Specialization
Citations

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

Fields of papers citing papers by Liudi Yuan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liudi Yuan

This figure shows the co-authorship network connecting the top 25 collaborators of Liudi Yuan. A scholar is included among the top collaborators of Liudi Yuan 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 Liudi Yuan. Liudi Yuan 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.
Lv, Yanling, et al.. (2025). Production of Recombinant Adeno-Associated Virus Through High-Cell-Density Transfection of HEK293 Cells Based on Fed-Perfusion Culture. Human Gene Therapy. 36(3-4). 116–127. 6 indexed citations
2.
Shaikh, Sana, et al.. (2023). Bleomycin loaded exosomes enhanced antitumor therapeutic efficacy and reduced toxicity. Life Sciences. 330. 121977–121977. 11 indexed citations
3.
Wang, Faming, Le Zhang, Yao Luo, et al.. (2021). The LncRNA RP11-279C4.1 Enhances the Malignant Behaviour of Glioma Cells and Glioma Stem-Like Cells by Regulating the miR-1273g-3p/CBX3 Axis. Molecular Neurobiology. 58(7). 3362–3373. 8 indexed citations
4.
Wang, Faming, Yao Luo, Le Zhang, Muhammad Rizwan Younis, & Liudi Yuan. (2021). The LncRNA RP11-301G19.1/miR-582-5p/HMGB2 axis modulates the proliferation and apoptosis of multiple myeloma cancer cells via the PI3K/AKT signalling pathway. Cancer Gene Therapy. 29(3-4). 292–303. 23 indexed citations
5.
Wang, Faming, Muhammad Rizwan Younis, Yao Luo, Le Zhang, & Liudi Yuan. (2021). Iguratimod-encapsulating PLGA-NPs induce human multiple myeloma cell death via reactive oxygen species and Caspase-dependent signalling. International Immunopharmacology. 95. 107532–107532. 11 indexed citations
6.
Wang, Faming, Yao Luo, Le Zhang, Muhammad Rizwan Younis, & Liudi Yuan. (2021). Down-regulation of LncRNA 2900052N01Rik inhibits LPS-induced B cell function in vitro. Cellular Immunology. 363. 104321–104321. 11 indexed citations
7.
Yang, Xiangyu, et al.. (2019). Circ_0005075 promotes hepatocellular carcinoma progression by suppression of microRNA‐335. Journal of Cellular Physiology. 234(12). 21937–21946. 19 indexed citations
8.
Yuan, Liudi, et al.. (2019). Serpina3n: Potential drug and challenges, mini review. Journal of drug targeting. 28(4). 368–378. 43 indexed citations
9.
Wang, Chao, et al.. (2018). MiR-219 represses expression of dFMR1 in Drosophila melanogaster. Life Sciences. 218. 31–37. 6 indexed citations
10.
Song, Hang, Rongrong Xie, Zhipeng Liu, et al.. (2017). Rhythmic expressed clock regulates the transcription of proliferating cellular nuclear antigen in teleost retina. Experimental Eye Research. 160. 21–30. 8 indexed citations
11.
Zhang, Yao, et al.. (2016). miR-92a-3p Exerts Various Effects in Glioma and Glioma Stem-Like Cells Specifically Targeting CDH1/β-Catenin and Notch-1/Akt Signaling Pathways. International Journal of Molecular Sciences. 17(11). 1799–1799. 35 indexed citations
12.
Song, Hang, Yao Zhang, Na Liu, et al.. (2016). Let-7b inhibits the malignant behavior of glioma cells and glioma stem-like cells via downregulation of E2F2. Journal of Physiology and Biochemistry. 72(4). 733–744. 47 indexed citations
13.
Zhang, Yao, Na Liu, Chao Wan, et al.. (2016). miR-92b regulates glioma cells proliferation, migration, invasion, and apoptosis via PTEN/Akt signaling pathway. Journal of Physiology and Biochemistry. 72(2). 201–211. 41 indexed citations
14.
Wang, Chao, Chao Wan, Wenjuan Li, et al.. (2015). miR‐184 is Critical for the motility‐related PNS development in Drosophila. International Journal of Developmental Neuroscience. 46(1). 100–107. 10 indexed citations
15.
Feng, Tongbao, Dongqin Xu, Wenjing Li, et al.. (2015). miR-124 inhibits cell proliferation in breast cancer through downregulation of CDK4. Tumor Biology. 36(8). 5987–5997. 60 indexed citations
16.
Kong, Youyong, et al.. (2015). The Role of miR-124 in Drosophila Alzheimer's Disease Model by Targeting Delta in Notch Signaling Pathway. Current Molecular Medicine. 15(10). 980–989. 25 indexed citations
17.
18.
Li, Shufeng, et al.. (2015). Sp1-mediated transcriptional regulation of MALAT1 plays a critical role in tumor. Journal of Cancer Research and Clinical Oncology. 141(11). 1909–1920. 54 indexed citations
19.
Sun, Mingkuan, et al.. (2007). DX16 is a novel SR protein phosphorylated by DOA. Molecular and Cellular Biochemistry. 307(1-2). 177–183. 6 indexed citations
20.
Yuan, Liudi, Jing Zhou, Mingkuan Sun, et al.. (2007). Identification of RNA binding sequences of Drosophila SR protein DX16. Molecular and Cellular Biochemistry. 302(1-2). 119–124. 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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