Yulong Liang

1.6k total citations
48 papers, 1.1k citations indexed

About

Yulong Liang is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Yulong Liang has authored 48 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Molecular Biology, 17 papers in Oncology and 10 papers in Cancer Research. Recurrent topics in Yulong Liang's work include DNA Repair Mechanisms (11 papers), Cancer-related Molecular Pathways (9 papers) and Cell Adhesion Molecules Research (8 papers). Yulong Liang is often cited by papers focused on DNA Repair Mechanisms (11 papers), Cancer-related Molecular Pathways (9 papers) and Cell Adhesion Molecules Research (8 papers). Yulong Liang collaborates with scholars based in China, United States and Netherlands. Yulong Liang's co-authors include Kaiyi Li, Xiliang Zha, Jiawei Jin, Shiaw‐Yih Lin, F. Charles Brunicardi, John A. Goss, Xiumei Cai, Hongwen Gao, Jamie L. Wood and Junjie Chen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Yulong Liang

45 papers receiving 1.1k citations

Peers

Yulong Liang

ONCOL

IMMUN

Erich Koller United States

Angela Paul United Kingdom

Jennifer M. Atkinson United States

Nathalie Meyer‐Schaller Switzerland

Monideepa Roy United States

Christelle Benaud France

Xiaodong Liao China

Melody Stallings‐Mann United States

Robert F. Shearer Australia

Jeou-Yuan Chen Taiwan

Erich Koller United States

Yulong Liang

1.1k ×1.3

251 ×0.9

ONCOL

258 ×1.2

248 ×1.3

81 ×0.6

IMMUN

Citations per year, relative to Yulong Liang Yulong Liang (= 1×) peers Erich Koller

Countries citing papers authored by Yulong Liang

Since Specialization

Citations

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

Fields of papers citing papers by Yulong Liang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yulong Liang

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

All Works

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20 of 20 papers shown

Gao, Ang, Yulong Liang, Cunhong Yin, et al.. (2025). Research on the characteristics of nerve guidance conduits based on phase separation 3D printing and electromagnetic induction technology. Materials & Design. 260. 115075–115075.

Gouda, Mohamed A., Aung Naing, Ecaterina E. Dumbrava, et al.. (2024). A phase I study of TAK-659 and paclitaxel in patients with taxane-refractory advanced solid tumors.. Journal of Clinical Oncology. 42(16_suppl). 3152–3152. 1 indexed citations

Wu, Lianqun, et al.. (2023). The profiles and clinical significance of extraocular muscle-expressed lncRNAs and mRNAs in oculomotor nerve palsy. Frontiers in Molecular Neuroscience. 16. 1293344–1293344.

Liang, Yulong, Dan Fang, Xiaojun Gao, et al.. (2022). Circulating microRNAs as emerging regulators of COVID-19. Theranostics. 13(1). 125–147. 25 indexed citations

Zhou, Rongmei, K. Y. Shan, Shujie Zhang, et al.. (2022). Comparative Analysis of Differentially Expressed Circular RNAs in Polarized Macrophages. Frontiers in Genetics. 13. 823517–823517. 7 indexed citations

McGrail, Daniel J., Patrick G. Pilié, Hui Dai, et al.. (2021). Replication stress response defects are associated with response to immune checkpoint blockade in nonhypermutated cancers. Science Translational Medicine. 13(617). eabe6201–eabe6201. 22 indexed citations

Kong, Weiqi, et al.. (2020). Long Noncoding RNA DLX6-AS1 Regulates the Growth and Aggressiveness of Colorectal Cancer Cells Via Mediating the miR-26a/EZH2 Axis. Cancer Biotherapy and Radiopharmaceuticals. 36(9). 753–764. 15 indexed citations

Yu, Hong‐Ren, et al.. (2019). <p>LncRNA LINC00461 Promotes Colorectal Cancer Progression via miRNA-323b-3p/NFIB Axis</p>. OncoTargets and Therapy. Volume 12. 11119–11129. 17 indexed citations

Xia, Chengcai, Xiaodan Wang, Hao Wang, et al.. (2018). Cyclophilin J PPIase Inhibitors Derived from 2,3-Quinoxaline-6 Amine Exhibit Antitumor Activity. Frontiers in Pharmacology. 9. 126–126. 6 indexed citations

10.

Yu, Litian, Yulong Liang, Xiaoxiang Cao, et al.. (2016). Identification of MYST3 as a novel epigenetic activator of ERα frequently amplified in breast cancer. Oncogene. 36(20). 2910–2918. 48 indexed citations

11.

Mo, Wei, Qingxin Liu, Curtis Chun-Jen Lin, et al.. (2015). mTOR Inhibitors Suppress Homologous Recombination Repair and Synergize with PARP Inhibitors via Regulating SUV39H1 in BRCA-Proficient Triple-Negative Breast Cancer. Clinical Cancer Research. 22(7). 1699–1712. 90 indexed citations

12.

Zhang, Bo, Wenge Wang, Hui Dai, et al.. (2013). BRIT1 regulates p53 stability and functions as a tumor suppressor in breast cancer. Carcinogenesis. 34(10). 2271–2280. 13 indexed citations

13.

Liang, Yulong, et al.. (2007). Manganese-enhanced MRI of axon regeneration by peptide nanofiber scaffold induction. 27(4). 322–327. 1 indexed citations

14.

Fu, Yi, Zhengyu Fang, Yulong Liang, et al.. (2007). Overexpression of integrin β1 inhibits proliferation of hepatocellular carcinoma cell SMMC‐7721 through preventing Skp2‐dependent degradation of p27 via PI3K pathway. Journal of Cellular Biochemistry. 102(3). 704–718. 21 indexed citations

15.

Xu, Zhibin, Xinwen Zhou, Haojie Lu, et al.. (2007). Comparative glycoproteomics based on lectins affinity capture of N‐linked glycoproteins from human Chang liver cells and MHCC97‐H cells. PROTEOMICS. 7(14). 2358–2370. 55 indexed citations

16.

Wu, Nan, Wen Zhang, Yong Yang, et al.. (2006). Profilin 1 obtained by proteomic analysis in all‐trans retinoic acid‐treated hepatocarcinoma cell lines is involved in inhibition of cell proliferation and migration. PROTEOMICS. 6(22). 6095–6106. 71 indexed citations

17.

Wu, Heng, Yulong Liang, Zengxia Li, et al.. (2006). Positive expression of E-cadherin suppresses cell adhesion to fibronectin via reduction of α5β1 integrin in human breast carcinoma cells. Journal of Cancer Research and Clinical Oncology. 132(12). 795–803. 19 indexed citations

18.

Wang, Liying, Yulong Liang, Zengxia Li, et al.. (2006). Increase in β1‐6 GlcNAc branching caused by N‐acetylglucosaminyltransferase V directs integrin β1 stability in human hepatocellular carcinoma cell line SMMC‐7721. Journal of Cellular Biochemistry. 100(1). 230–241. 26 indexed citations

19.

Liang, Yulong, Yi Fu, Xiumei Cai, et al.. (2004). Integrin β1 subunit overexpressed in the SMMC‐7721 cells regulates the promoter activity of p21^CIP1 and enhances its transcription. FEBS Letters. 558(1-3). 107–113. 13 indexed citations

20.

Liang, Yulong. (2003). S-phase delay in human hepatocellular carcinoma cells induced by overexpression of integrin β1. World Journal of Gastroenterology. 9(8). 1689–1689. 13 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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