Luqiao Wang

2.3k total citations · 1 hit paper
45 papers, 1.6k citations indexed

About

Luqiao Wang is a scholar working on Molecular Biology, Cancer Research and Immunology. According to data from OpenAlex, Luqiao Wang has authored 45 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 13 papers in Cancer Research and 10 papers in Immunology. Recurrent topics in Luqiao Wang's work include Cancer-related molecular mechanisms research (8 papers), Circular RNAs in diseases (7 papers) and MicroRNA in disease regulation (6 papers). Luqiao Wang is often cited by papers focused on Cancer-related molecular mechanisms research (8 papers), Circular RNAs in diseases (7 papers) and MicroRNA in disease regulation (6 papers). Luqiao Wang collaborates with scholars based in China, United States and Germany. Luqiao Wang's co-authors include Xiaofeng Yang, Xinyuan Li, Pu Fang, Eric T. Choi, Jietang Mai, Ying Shao, Gayani Nanayakkara, William Y. Yang, Hong Wang and Ramón Cueto and has published in prestigious journals such as Journal of Biological Chemistry, Blood and Journal of the American College of Cardiology.

In The Last Decade

Luqiao Wang

43 papers receiving 1.6k citations

Hit Papers

Targeting mitochondrial reactive oxygen species as novel ... 2013 2026 2017 2021 2013 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Luqiao Wang China 16 858 312 261 169 154 45 1.6k
Yongting Luo China 25 1.1k 1.2× 359 1.2× 304 1.2× 282 1.7× 134 0.9× 62 2.0k
Lili Zhang China 25 1.1k 1.3× 217 0.7× 252 1.0× 171 1.0× 239 1.6× 91 2.1k
Guanghua Luo China 25 916 1.1× 252 0.8× 386 1.5× 259 1.5× 164 1.1× 132 1.8k
Long Yi China 27 776 0.9× 273 0.9× 262 1.0× 284 1.7× 199 1.3× 117 2.2k
Chaoqi Liu China 24 727 0.8× 231 0.7× 182 0.7× 226 1.3× 256 1.7× 87 1.5k
Yong Ji China 19 828 1.0× 245 0.8× 296 1.1× 147 0.9× 209 1.4× 39 1.6k
Wei Meng China 20 1.0k 1.2× 189 0.6× 448 1.7× 156 0.9× 171 1.1× 45 1.7k
Chunyang Du China 22 900 1.0× 215 0.7× 156 0.6× 104 0.6× 191 1.2× 41 1.8k

Countries citing papers authored by Luqiao Wang

Since Specialization
Citations

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

Fields of papers citing papers by Luqiao Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luqiao Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Luqiao Wang. A scholar is included among the top collaborators of Luqiao Wang 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 Luqiao Wang. Luqiao Wang 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.
Zhang, Keyi, Chen Liu, Xin Tian, et al.. (2025). RBM25 Regulates p38 MAPK Pathway Activation via Exon 16 Skipping of MAP4K4 in a Rat Model of Post‐Infarction Heart Failure. FASEB BioAdvances. 7(12). e70074–e70074.
3.
Li, Jingru, Chaozhong Li, Peng Ding, et al.. (2024). Bioinformatics analysis of immune infiltration in human diabetic retinopathy and identification of immune-related hub genes and their ceRNA networks. Scientific Reports. 14(1). 24003–24003. 2 indexed citations
4.
Tian, Xin, Hao Li, Xueting Zhang, et al.. (2023). RBM25 binds to and regulates alternative splicing levels of Slc38a9, Csf1, and Coro6 to affect immune and inflammatory processes in H9c2 cells. PeerJ. 11. e16312–e16312. 5 indexed citations
5.
Li, Jingru, et al.. (2023). Promising roles of non-exosomal and exosomal non-coding RNAs in the regulatory mechanism and as diagnostic biomarkers in myocardial infarction. Journal of Zhejiang University SCIENCE B. 24(4). 281–300. 5 indexed citations
6.
Li, Jingru, Chaozhong Li, Peng Ding, et al.. (2022). Identification of immune-related hub genes and miRNA-mRNA pairs involved in immune infiltration in human septic cardiomyopathy by bioinformatics analysis. Frontiers in Cardiovascular Medicine. 9. 971543–971543. 7 indexed citations
7.
Wu, Zijuan, Danling Gu, Ruixin Wang, et al.. (2022). CircRIC8B regulates the lipid metabolism of chronic lymphocytic leukemia through miR199b-5p/LPL axis. Experimental Hematology and Oncology. 11(1). 51–51. 13 indexed citations
8.
Li, Jingru, Chaozhong Li, Yulan Zhao, et al.. (2022). Integrated bioinformatics analysis for novel miRNAs markers and ceRNA network in diabetic retinopathy. Frontiers in Genetics. 13. 874885–874885. 1 indexed citations
9.
Lu, Wenyi, Rui Sun, Xin Jin, et al.. (2019). Anti-CD19 Chimeric Antigen Receptor T Cells in Combination With Nivolumab Are Safe and Effective Against Relapsed/Refractory B-Cell Non-hodgkin Lymphoma. Frontiers in Oncology. 9. 767–767. 114 indexed citations
10.
Wang, Huawei, Wen Wan, Luqiao Wang, et al.. (2019). Xinmailong Modulates Platelet Function and Inhibits Thrombus Formation via the Platelet αIIbβ3-Mediated Signaling Pathway. Frontiers in Pharmacology. 10. 923–923. 8 indexed citations
11.
Jin, Xin, Xiaoyuan He, Xiaoli Cao, et al.. (2018). Iron overload impairs normal hematopoietic stem and progenitor cells through reactive oxygen species and shortens survival in myelodysplastic syndrome mice. Haematologica. 103(10). 1627–1634. 48 indexed citations
12.
Cheng, Jiali, Gayani Nanayakkara, Ying Shao, et al.. (2017). Mitochondrial Proton Leak Plays a Critical Role in Pathogenesis of Cardiovascular Diseases. Advances in experimental medicine and biology. 982. 359–370. 130 indexed citations
13.
Wang, Luqiao. (2017). Endocytosis and membrane receptor internalization implication of F-BAR protein Carom. Frontiers in bioscience. 22(9). 1439–1457. 20 indexed citations
15.
Wang, Luqiao, Hangfei Fu, Gayani Nanayakkara, et al.. (2016). Novel extracellular and nuclear caspase-1 and inflammasomes propagate inflammation and regulate gene expression: a comprehensive database mining study. Journal of Hematology & Oncology. 9(1). 122–122. 68 indexed citations
16.
Wang, Luqiao, et al.. (2015). Rapamycin protects cardiomyocytes against anoxia/reoxygenation injury by inducing autophagy through the PI3k/Akt pathway. Journal of Huazhong University of Science and Technology [Medical Sciences]. 35(1). 10–15. 19 indexed citations
18.
Wang, Luqiao. (2015). Analysis for Carom complex signaling and function by database mining. Frontiers in bioscience. 21(4). 856–872. 5 indexed citations
19.
Li, Xinyuan, Pu Fang, Jietang Mai, et al.. (2013). Targeting mitochondrial reactive oxygen species as novel therapy for inflammatory diseases and cancers. Journal of Hematology & Oncology. 6(1). 19–19. 622 indexed citations breakdown →
20.
Virtue, Anthony, Luqiao Wang, & Xiaofeng Yang. (2012). MicroRNAs and Toll-like Receptor/Interleukin-1 Receptor Signaling. Journal of Hematology & Oncology. 5(1). 66–66. 62 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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