Yuanda Liu

826 total citations · 1 hit paper
11 papers, 560 citations indexed

About

Yuanda Liu is a scholar working on Molecular Biology, Cancer Research and Epidemiology. According to data from OpenAlex, Yuanda Liu has authored 11 papers receiving a total of 560 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Cancer Research and 3 papers in Epidemiology. Recurrent topics in Yuanda Liu's work include Cancer-related molecular mechanisms research (5 papers), RNA modifications and cancer (2 papers) and Cancer, Hypoxia, and Metabolism (2 papers). Yuanda Liu is often cited by papers focused on Cancer-related molecular mechanisms research (5 papers), RNA modifications and cancer (2 papers) and Cancer, Hypoxia, and Metabolism (2 papers). Yuanda Liu collaborates with scholars based in China and United States. Yuanda Liu's co-authors include Ze Zhang, Fangfang Chen, Liankun Sun, Xinyue Deng, Yahui Liu, Jiaming Zhu, Chao Chen, Jingjing Liu, Xiaohuan Tang and Junyang Wang and has published in prestigious journals such as Science Translational Medicine, Frontiers in Pharmacology and Cell Cycle.

In The Last Decade

Yuanda Liu

11 papers receiving 558 citations

Hit Papers

PKM2, function and expression and regulation 2019 2026 2021 2023 2019 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuanda Liu China 7 373 307 70 67 62 11 560
Avi Kumar United States 6 328 0.9× 169 0.6× 49 0.7× 80 1.2× 85 1.4× 12 489
Ting Sun China 17 506 1.4× 298 1.0× 76 1.1× 130 1.9× 83 1.3× 37 745
Chengdong Qin China 10 358 1.0× 303 1.0× 43 0.6× 105 1.6× 45 0.7× 19 545
Ralph J. DeBerardinis United States 5 481 1.3× 356 1.2× 39 0.6× 97 1.4× 48 0.8× 8 654
Fahim Ahmad India 9 290 0.8× 201 0.7× 35 0.5× 55 0.8× 80 1.3× 14 445
Jingping Ge China 10 368 1.0× 193 0.6× 54 0.8× 67 1.0× 102 1.6× 38 588
Luca X. Zampieri Belgium 12 387 1.0× 249 0.8× 36 0.5× 103 1.5× 57 0.9× 13 572

Countries citing papers authored by Yuanda Liu

Since Specialization
Citations

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

Fields of papers citing papers by Yuanda Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuanda Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Yuanda Liu. A scholar is included among the top collaborators of Yuanda Liu 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 Yuanda Liu. Yuanda Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Liu, Yuanda, Chang Liu, Fangquan Chen, et al.. (2025). AGER-dependent macropinocytosis drives resistance to KRAS-G12D–targeted therapy in advanced pancreatic cancer. Science Translational Medicine. 17(783). eadp4986–eadp4986. 13 indexed citations
2.
Li, Changfeng, Yuanda Liu, Yan Gao, et al.. (2024). The role of metal ions in the occurrence, progression, drug resistance, and biological characteristics of gastric cancer. Frontiers in Pharmacology. 15. 1333543–1333543. 10 indexed citations
4.
Liu, Yuanda, Jingjing Liu, Tong Liu, et al.. (2021). Highly expressed IFITM10 is associated with early diagnosis and T stage of gastric cancer. Translational Cancer Research. 10(1). 382–392. 4 indexed citations
5.
Liu, Jingjing, et al.. (2021). CHSY1 is upregulated and acts as tumor promotor in gastric cancer through regulating cell proliferation, apoptosis, and migration. Cell Cycle. 20(18). 1861–1874. 6 indexed citations
6.
Chen, Chao, Xin Wang, Tianzhou Liu, et al.. (2020). Overexpression of long non‐coding RNA RP11‐363E7.4 inhibits proliferation and invasion in gastric cancer. Cell Biochemistry and Function. 38(7). 921–931. 5 indexed citations
7.
Zhu, Jiaming, et al.. (2019). <p>Current Understanding of Circular RNAs in Gastric Cancer</p>. Cancer Management and Research. Volume 11. 10509–10521. 16 indexed citations
8.
Zhang, Ze, Xinyue Deng, Yuanda Liu, et al.. (2019). PKM2, function and expression and regulation. Cell & Bioscience. 9(1). 52–52. 348 indexed citations breakdown →
9.
Liu, Yuanda, Ze Zhang, Junyang Wang, et al.. (2019). <p>Metabolic reprogramming results in abnormal glycolysis in gastric cancer: a review</p>. OncoTargets and Therapy. Volume 12. 1195–1204. 80 indexed citations
10.
Chen, Chao, et al.. (2019). Regulation Mechanism of Long Noncoding RNAs in Colon Cancer Development and Progression. Yonsei Medical Journal. 60(4). 319–319. 43 indexed citations
11.
Chen, Chao, Xiaohuan Tang, Yuanda Liu, Jiaming Zhu, & Jingjing Liu. (2019). Induction/reversal of drug resistance in gastric cancer by non-coding RNAs (Review). International Journal of Oncology. 54(5). 1511–1524. 32 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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