Ronghan Liu

1.3k total citations
37 papers, 988 citations indexed

About

Ronghan Liu is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Cancer Research. According to data from OpenAlex, Ronghan Liu has authored 37 papers receiving a total of 988 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 9 papers in Pathology and Forensic Medicine and 7 papers in Cancer Research. Recurrent topics in Ronghan Liu's work include Spinal Cord Injury Research (6 papers), MicroRNA in disease regulation (4 papers) and Bone Metabolism and Diseases (4 papers). Ronghan Liu is often cited by papers focused on Spinal Cord Injury Research (6 papers), MicroRNA in disease regulation (4 papers) and Bone Metabolism and Diseases (4 papers). Ronghan Liu collaborates with scholars based in China, United States and Macao. Ronghan Liu's co-authors include Bin Ning, Wenzhao Wang, Aubryanna Hettinghouse, Liu C, Hongfei Li, Wei Xie, Yanlin Su, Jianan Chen, Meng Li and Xinyu Li and has published in prestigious journals such as The FASEB Journal, Biochemical and Biophysical Research Communications and International Journal of Molecular Sciences.

In The Last Decade

Ronghan Liu

33 papers receiving 982 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ronghan Liu China 16 430 298 229 153 130 37 988
Bin Ning China 22 532 1.2× 405 1.4× 292 1.3× 213 1.4× 201 1.5× 55 1.3k
Fanqi Kong China 17 714 1.7× 310 1.0× 189 0.8× 106 0.7× 97 0.7× 27 1.3k
Inbo Han South Korea 20 445 1.0× 303 1.0× 127 0.6× 84 0.5× 197 1.5× 27 1.1k
Dongdong Jiang China 15 846 2.0× 330 1.1× 412 1.8× 192 1.3× 119 0.9× 39 1.3k
Lequn Shan China 16 325 0.8× 275 0.9× 74 0.3× 155 1.0× 99 0.8× 42 883
Xiangrong Chen China 21 715 1.7× 180 0.6× 268 1.2× 187 1.2× 111 0.9× 61 1.5k
Zhanyang Qian China 17 369 0.9× 166 0.6× 186 0.8× 135 0.9× 91 0.7× 36 742
Haoli Wang China 16 372 0.9× 270 0.9× 90 0.4× 48 0.3× 132 1.0× 31 792

Countries citing papers authored by Ronghan Liu

Since Specialization
Citations

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

Fields of papers citing papers by Ronghan Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ronghan Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Ronghan Liu. A scholar is included among the top collaborators of Ronghan 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 Ronghan Liu. Ronghan Liu 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.
Liu, Xiaolong, Chaojun Zheng, Miao Wang, et al.. (2025). Frequency-specific modulations for subcomponents of executive functions in the infra-slow frequency range —A combined O-tDCS and fNIRS study. International Journal of Clinical and Health Psychology. 25(2). 100575–100575.
2.
Lu, Liwei, et al.. (2025). IQGAP1: cross-disease target via receptor-pathway networks. Frontiers in Oncology. 15. 1632060–1632060.
3.
Lin, Wenyu, Ronghan Liu, Dan Zhang, et al.. (2025). Research progress of cPLA2 in cardiovascular diseases (Review). Molecular Medicine Reports. 31(4). 1–10. 1 indexed citations
4.
5.
Zhang, Bing, Ronghan Liu, Hideo Kimura, et al.. (2023). Phase Transformation and Performance of Mg-Based Hydrogen Storage Material by Adding ZnO Nanoparticles. Nanomaterials. 13(8). 1321–1321. 6 indexed citations
6.
Zhang, Xiaodi, Ying Zhang, Wei Jiang, et al.. (2023). Periplocin targets low density lipoprotein receptor-related protein 4 to attenuate osteoclastogenesis and protect against osteoporosis. Biochemical Pharmacology. 211. 115516–115516. 5 indexed citations
7.
Liu, Ronghan, et al.. (2023). Vital role of SHMT2 in diverse disease. Biochemical and Biophysical Research Communications. 671. 160–165. 2 indexed citations
8.
Dong, Hui, Yuxia Cao, Ke Zou, et al.. (2023). Ellagic acid promotes osteoblasts differentiation via activating SMAD2/3 pathway and alleviates bone mass loss in OVX mice. Chemico-Biological Interactions. 388. 110852–110852. 7 indexed citations
9.
Chen, Yuehong, Ronghan Liu, Yazhou Cui, et al.. (2022). Penfluridol targets acid sphingomyelinase to inhibit TNF signaling and is therapeutic against inflammatory autoimmune diseases. Arthritis Research & Therapy. 24(1). 27–27. 8 indexed citations
10.
Liu, Kaiwen, Jianlu Wei, Guohua Li, et al.. (2021). Fexofenadine Protects Against Intervertebral Disc Degeneration Through TNF Signaling. Frontiers in Cell and Developmental Biology. 9. 687024–687024. 20 indexed citations
11.
Zhao, Xiangli, et al.. (2021). Cytosolic Phospholipase A2 Is Required for Fexofenadine’s Therapeutic Effects against Inflammatory Bowel Disease in Mice. International Journal of Molecular Sciences. 22(20). 11155–11155. 9 indexed citations
12.
Dong, Hui, Ronghan Liu, Ke Zou, et al.. (2020). Higenamine Promotes Osteogenesis Via IQGAP1/SMAD4 Signaling Pathway and Prevents Age- and Estrogen-Dependent Bone Loss in Mice. Journal of Bone and Mineral Research. 38(5). 775–791. 9 indexed citations
13.
Zhang, Lu, Jean De La Croix Ndong, Aubryanna Hettinghouse, et al.. (2019). Progranulin deficiency exacerbates spinal cord injury by promoting neuroinflammation and cell apoptosis in mice. Journal of Neuroinflammation. 16(1). 238–238. 78 indexed citations
14.
Liu, Ronghan, Wenyu Fu, Shuya Wang, et al.. (2019). Fexofenadine inhibits TNF signaling through targeting to cytosolic phospholipase A2 and is therapeutic against inflammatory arthritis. Annals of the Rheumatic Diseases. 78(11). 1524–1535. 41 indexed citations
15.
Yi, Young‐Su, Jinlong Jian, Qingyun Tian, et al.. (2018). p204 Is Required for Canonical Lipopolysaccharide-induced TLR4 Signaling in Mice. EBioMedicine. 29. 78–91. 20 indexed citations
16.
Wang, Wenzhao, Shi Tang, Hongfei Li, et al.. (2018). MicroRNA-21a-5p promotes fibrosis in spinal fibroblasts after mechanical trauma. Experimental Cell Research. 370(1). 24–30. 21 indexed citations
17.
Wang, Wenzhao, Ronghan Liu, Yanlin Su, et al.. (2018). MicroRNA-21-5p mediates TGF-β-regulated fibrogenic activation of spinal fibroblasts and the formation of fibrotic scars after spinal cord injury. International Journal of Biological Sciences. 14(2). 178–188. 72 indexed citations
18.
Ning, Bin, Hong‐Liang Song, Xiang Zhang, et al.. (2017). Neuroprotective mechanisms of rutin for spinal cord injury through anti-oxidation and anti-inflammation and inhibition of p38 mitogen activated protein kinase pathway. Neural Regeneration Research. 13(1). 128–128. 63 indexed citations
19.
Liu, Ronghan, et al.. (2016). Regulatory roles of microRNA-21 in fibrosis through interaction with diverse pathways (Review). Molecular Medicine Reports. 13(3). 2359–2366. 39 indexed citations
20.
Ning, Bin, et al.. (2014). microRNAs in Spinal Cord Injury: Potential Roles and Therapeutic Implications. International Journal of Biological Sciences. 10(9). 997–1006. 92 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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