Yuxin Liang

3.1k total citations · 1 hit paper
83 papers, 2.0k citations indexed

About

Yuxin Liang is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Yuxin Liang has authored 83 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 14 papers in Oncology and 13 papers in Cancer Research. Recurrent topics in Yuxin Liang's work include Cancer Immunotherapy and Biomarkers (7 papers), Hepatocellular Carcinoma Treatment and Prognosis (6 papers) and CRISPR and Genetic Engineering (5 papers). Yuxin Liang is often cited by papers focused on Cancer Immunotherapy and Biomarkers (7 papers), Hepatocellular Carcinoma Treatment and Prognosis (6 papers) and CRISPR and Genetic Engineering (5 papers). Yuxin Liang collaborates with scholars based in China, United States and France. Yuxin Liang's co-authors include Zora Modrušan, Casey C. Case, Yasin Şenbabaoğlu, Shannon J. Turley, Shilpa Keerthivasan, Edward J. Rebar, Oded Foreman, Christiaan Klijn, Sören Müller and Melissa R. Junttila and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Yuxin Liang

68 papers receiving 1.9k citations

Hit Papers

Single-Cell RNA Sequencing Reveals Stromal Evolution into... 2019 2026 2021 2023 2019 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuxin Liang China 20 1.1k 571 289 288 165 83 2.0k
Jianwei Zhu China 28 1.3k 1.2× 497 0.9× 490 1.7× 163 0.6× 207 1.3× 120 2.4k
HY Li Singapore 29 1.9k 1.7× 518 0.9× 197 0.7× 409 1.4× 113 0.7× 74 2.8k
Wenbo Ma China 19 711 0.6× 404 0.7× 260 0.9× 298 1.0× 69 0.4× 82 1.4k
Jiaqiang Huang China 25 944 0.8× 425 0.7× 563 1.9× 218 0.8× 210 1.3× 102 2.2k
Ian Lian United States 16 1.8k 1.5× 342 0.6× 202 0.7× 161 0.6× 88 0.5× 30 3.1k
Yung‐Jen Chuang Taiwan 28 1.1k 1.0× 233 0.4× 314 1.1× 374 1.3× 147 0.9× 91 2.4k
Chenwei Wang China 28 1.2k 1.1× 227 0.4× 164 0.6× 265 0.9× 91 0.6× 102 2.5k
Yang Xiao United States 21 1.4k 1.2× 587 1.0× 403 1.4× 267 0.9× 180 1.1× 49 2.2k
Feng Shen China 25 1.2k 1.1× 757 1.3× 240 0.8× 419 1.5× 336 2.0× 94 2.8k
Runzhao Li China 19 961 0.8× 406 0.7× 142 0.5× 173 0.6× 113 0.7× 42 1.7k

Countries citing papers authored by Yuxin Liang

Since Specialization
Citations

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

Fields of papers citing papers by Yuxin Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuxin Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Yuxin Liang. A scholar is included among the top collaborators of Yuxin 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 Yuxin Liang. Yuxin 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
3.
Wen, Jiaxin, Yanfeng Wang, Song Wang, et al.. (2025). Genetic and transcriptional insights into immune checkpoint blockade response and survival: lessons from melanoma and beyond. Journal of Translational Medicine. 23(1). 467–467.
4.
Li, Xiangrong, et al.. (2025). Formation Mechanism and Antibacterial Activity of Natural Antimicrobial Lysozyme with Antibiotics Doxycycline and Tigecycline. Journal of Molecular Biology. 437(19). 169304–169304.
5.
Liu, Qi, et al.. (2025). CoRLHF: Reinforcement learning from human feedback with cooperative policy-reward optimization for LLMs. Expert Systems with Applications. 301. 130113–130113.
6.
Liang, Yuxin, Yuheng Gu, Zilong Zhang, et al.. (2025). Dendritic cell–related gene signature in pancreatic cancer stratifies patient subtypes and implicates a KCTD14–TNF signaling axis. Frontiers in Immunology. 16. 1665906–1665906.
7.
Simone, Marco De, J. Lau, Hayley M. Bennett, et al.. (2024). A comprehensive analysis framework for evaluating commercial single-cell RNA sequencing technologies. Nucleic Acids Research. 53(2). 5 indexed citations
8.
Liu, Shanshan, Yuxin Liang, Jing‐Feng Li, et al.. (2024). Negative regulation of SREBP-1/FAS signaling molecules activates the RIG-1/TBK1-mediated IFN-I pathway to inhibit BVDV replication. Antiviral Research. 233. 106054–106054. 1 indexed citations
9.
Pan, Stephen W., Amy Wachholtz, Mark Strand, et al.. (2024). Supernatural Beliefs-Based Intervention to Improve Type-2 Diabetes Self-Management: A Pilot Randomized Controlled Trial from China. Journal of Religion and Health. 63(5). 3444–3454.
10.
Liang, Yuxin, Zilong Zhang, Su Yan, et al.. (2024). Impact of preoperative antiviral therapy on the prognosis of hepatitis B virus-related hepatocellular carcinoma. BMC Cancer. 24(1). 291–291. 5 indexed citations
11.
Liang, Yuxin, et al.. (2024). Single-Cell RNA Sequencing Revealed That the Enrichment of TPI1+ Malignant Hepatocytes Was Linked to HCC Metastasis and Immunosuppressive Microenvironment. Journal of Hepatocellular Carcinoma. Volume 11. 373–383. 2 indexed citations
12.
Wang, Lina, Wenxi Wang, Yuxin Liang, et al.. (2024). Demethylzeylasteral inhibits oxidative phosphorylation complex biogenesis by targeting LRPPRC in lung cancer. Journal of Cancer. 16(1). 227–240. 6 indexed citations
14.
Zheng, Xiaohe, et al.. (2023). CRISPR-Cas12a powered hybrid nanoparticle for extracellular vesicle aggregation and in-situ microRNA detection. Biosensors and Bioelectronics. 245. 115856–115856. 20 indexed citations
15.
Zhao, Yongdan, Hong‐Wei An, Muhetaerjiang Mamuti, et al.. (2023). Reprogramming Hypoxic Tumor‐Associated Macrophages by Nanoglycoclusters for Boosted Cancer Immunotherapy. Advanced Materials. 35(24). e2211332–e2211332. 36 indexed citations
16.
Zhou, Shuang, et al.. (2023). Design Strategy for Art Copper Alloys’ Colors Through Machine Learning and Oxidation Treatment. JOM. 75(5). 1763–1774. 1 indexed citations
17.
Yun, Jina, Simon Hansen, Otto Morris, et al.. (2023). Senescent cells perturb intestinal stem cell differentiation through Ptk7 induced noncanonical Wnt and YAP signaling. Nature Communications. 14(1). 156–156. 41 indexed citations
18.
Pan, Stephen W., et al.. (2022). Health Effects of Religion, Spirituality, and Supernatural Beliefs in Mainland China: A Systematic Review. Journal of Religion and Health. 61(4). 2726–2742. 3 indexed citations
19.
Dominguez, Claudia X., Sören Müller, Shilpa Keerthivasan, et al.. (2019). Single-Cell RNA Sequencing Reveals Stromal Evolution into LRRC15+ Myofibroblasts as a Determinant of Patient Response to Cancer Immunotherapy. Cancer Discovery. 10(2). 232–253. 522 indexed citations breakdown →
20.
Liang, Yuxin, Guofei Feng, Linquan Wu, et al.. (2019). Caffeic acid phenethyl ester suppressed growth and metastasis of nasopharyngeal carcinoma cells by inactivating the NF-κB pathway. SHILAP Revista de lepidopterología. 2 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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