Rong Liang

3.8k total citations · 1 hit paper
127 papers, 2.6k citations indexed

About

Rong Liang is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Rong Liang has authored 127 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Molecular Biology, 26 papers in Oncology and 25 papers in Cancer Research. Recurrent topics in Rong Liang's work include Cancer-related molecular mechanisms research (10 papers), Hepatocellular Carcinoma Treatment and Prognosis (10 papers) and MicroRNA in disease regulation (9 papers). Rong Liang is often cited by papers focused on Cancer-related molecular mechanisms research (10 papers), Hepatocellular Carcinoma Treatment and Prognosis (10 papers) and MicroRNA in disease regulation (9 papers). Rong Liang collaborates with scholars based in China, United States and Australia. Rong Liang's co-authors include Zhenzhen Zhang, Ni Li, Yan Lin, Jiazhou Ye, Zhihui Liu, Jinyan Zhang, Yongqiang Li, Ziyu Liu, Xing Gao and Mohan Pammi Venkatesh and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Journal of Molecular Biology.

In The Last Decade

Rong Liang

120 papers receiving 2.6k citations

Hit Papers

Emerging therapies for glioblastoma: current state and fu... 2022 2026 2023 2024 2022 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
Rong Liang China 28 1.1k 621 475 396 297 127 2.6k
Wei Wu China 26 1.1k 0.9× 310 0.5× 496 1.0× 364 0.9× 219 0.7× 126 2.4k
Jie Xia China 31 1.7k 1.5× 425 0.7× 325 0.7× 367 0.9× 341 1.1× 147 2.9k
Jian Xu China 32 1.8k 1.6× 888 1.4× 420 0.9× 472 1.2× 317 1.1× 112 3.0k
Juan Du China 29 1.7k 1.5× 443 0.7× 821 1.7× 538 1.4× 197 0.7× 219 3.2k
Irma Virant‐Klun Slovenia 34 1.6k 1.4× 476 0.8× 760 1.6× 352 0.9× 410 1.4× 111 4.4k
Jianfeng Chen China 30 1.4k 1.3× 396 0.6× 436 0.9× 711 1.8× 259 0.9× 105 3.2k
Jianhua Lin China 29 1.1k 1.0× 361 0.6× 340 0.7× 324 0.8× 279 0.9× 182 3.1k
Jian Chen China 26 1.2k 1.0× 537 0.9× 521 1.1× 799 2.0× 291 1.0× 140 2.8k
Xu Yang China 31 1.2k 1.1× 547 0.9× 555 1.2× 395 1.0× 489 1.6× 151 3.0k
Zhong Chen China 31 1.4k 1.2× 591 1.0× 362 0.8× 280 0.7× 348 1.2× 169 3.0k

Countries citing papers authored by Rong Liang

Since Specialization
Citations

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

Fields of papers citing papers by Rong Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rong Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Rong Liang. A scholar is included among the top collaborators of Rong 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 Rong Liang. Rong 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.
Chen, Long, et al.. (2025). Inclined pullout capacity of suction anchors in clay-silty sand-clay soil deposits. Applied Ocean Research. 158. 104549–104549.
2.
Li, Xiaohui, Junsong Zhang, Rong Liang, et al.. (2025). Optimization, Immunological Evaluation, and Combination Study of Mincle-Dependent Self-Adjuvanted Anti-Tn Cancer Vaccines with an External Adjuvant. Journal of Medicinal Chemistry. 68(11). 11648–11662. 1 indexed citations
3.
Shi, Yumeng, Jiayi Tang, Yan Liu, et al.. (2024). Novel pH- and thermal-responsive oleogel capsules: Featuring an oleogel core and ultrathin calcium-alginate shell. Food Chemistry. 454. 139663–139663. 4 indexed citations
4.
Huang, Qiuhong, Lichun Tang, Meiling Wen, et al.. (2024). Expression and Regulatory Ability of Long Non-Coding RNADLX6 Antisense RNA 1 in Gestational Diabetes Mellitus. SHILAP Revista de lepidopterología. 51(3).
7.
Zhou, Qing, Rong Liang, Yang Yang, et al.. (2021). Development of cell culture infectious clones for hepatitis C virus genotype 1b and transcription analysis of 1b-infected hepatoma cells. Antiviral Research. 193. 105136–105136. 6 indexed citations
8.
Ye, Jiazhou, Ziyu Liu, Xing Gao, et al.. (2021). Eukaryotic Initiation Factor 4A-3: A Review of Its Physiological Role and Involvement in Oncogenesis. Frontiers in Oncology. 11. 712045–712045. 39 indexed citations
9.
Zeng, Jie, Rong Liang, Lin Yan, et al.. (2020). Artificial Neural Network Model for Liver Cirrhosis Diagnosis in Patients with Hepatitis B Virus-Related Hepatocellular Carcinoma. SHILAP Revista de lepidopterología. 2 indexed citations
10.
Lim, Rebecca, Rong Liang, Anjie Zhen, & Jianming Xie. (2020). A Universal CAR-NK Cell Targeting Various Epitopes of HIV-1 gp160. ACS Chemical Biology. 15(8). 2299–2310. 28 indexed citations
11.
Lin, Yan, et al.. (2020). RNA-Binding Motif Protein 38 as a Potential Biomarker and Therapeutic Target in Cancer. OncoTargets and Therapy. Volume 13. 13225–13236. 8 indexed citations
12.
Shen, Bo, Feixiang Wu, Jiazhou Ye, et al.. (2019). Crizotinib-Resistant MET Mutations in Gastric Cancer Patients are Sensitive to Type II Tyrosine Kinase Inhibitors. Future Oncology. 15(22). 2585–2593. 4 indexed citations
13.
Xie, Mingzhi, Yufeng Lv, Zhihui Liu, et al.. (2018). Identification and validation of a four-miRNA(miRNA-21-5p, miRNA-9-5p, miR-149-5p, and miRNA-30b-5p) prognosis signature in clear cell renal cell carcinoma. Cancer Management and Research. Volume 10. 5759–5766. 28 indexed citations
14.
Chen, Mingxiao, Guosheng Yuan, Xiaobing Duan, et al.. (2018). Development of an Infectious Cell Culture System for Hepatitis C Virus Genotype 6a Clinical Isolate Using a Novel Strategy and Its Sensitivity to Direct-Acting Antivirals. Frontiers in Microbiology. 9. 2950–2950. 9 indexed citations
16.
Chen, Yiyi, Ting Liu, Zhenzhen Zhang, et al.. (2018). Novel genetically stable infectious clone for a Zika virus clinical isolate and identification of RNA elements essential for virus production. Virus Research. 257. 14–24. 11 indexed citations
17.
Liang, Rong, et al.. (2015). Correlation between ERCC1 expression and concurrent chemotherapy and radiotherapy in patients with locally advanced nasopharyngeal cancer. Genetics and Molecular Research. 14(2). 5804–5811. 8 indexed citations
18.
Lu, Qun, et al.. (2014). No genetic alterations in infants from intracytoplasmic sperm injection in combination with artificial oocyte activation: a pilot study. Chinese Medical Journal. 127(2). 383–385. 6 indexed citations
19.
Liang, Rong, et al.. (2012). The diagnostic value of serum Golgi protein-73 in hepatocellular carcinoma. Tumori. 32(2). 115–118. 1 indexed citations
20.
Liang, Rong, et al.. (2001). Cognition on Etiology and Achanism of Fatigue in Traditional Chinese Medicine. Zhongguo zhongyi jichu yixue zazhi. 7(8). 1–4. 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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