Bo‐Liang Liu

477 total citations
11 papers, 411 citations indexed

About

Bo‐Liang Liu is a scholar working on Molecular Biology, Cancer Research and Pathology and Forensic Medicine. According to data from OpenAlex, Bo‐Liang Liu has authored 11 papers receiving a total of 411 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 9 papers in Cancer Research and 1 paper in Pathology and Forensic Medicine. Recurrent topics in Bo‐Liang Liu's work include MicroRNA in disease regulation (8 papers), Cancer-related molecular mechanisms research (7 papers) and Circular RNAs in diseases (7 papers). Bo‐Liang Liu is often cited by papers focused on MicroRNA in disease regulation (8 papers), Cancer-related molecular mechanisms research (7 papers) and Circular RNAs in diseases (7 papers). Bo‐Liang Liu collaborates with scholars based in China. Bo‐Liang Liu's co-authors include Shuo Chen, Yang Zhao, Kaixuan Sun, Zhi‐Hong Zong, Xiu‐Bo Sang, Dandan Wu, Lili Wang, Yin‐Ling Xiu, Xi Chen and Lili Wang and has published in prestigious journals such as PLoS ONE, Molecular Cancer and Cell Death and Disease.

In The Last Decade

Bo‐Liang Liu

11 papers receiving 406 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bo‐Liang Liu China 11 341 296 54 35 27 11 411
Yin‐Ling Xiu China 15 513 1.5× 427 1.4× 69 1.3× 36 1.0× 32 1.2× 23 626
Fangyong Lei China 9 285 0.8× 238 0.8× 49 0.9× 26 0.7× 20 0.7× 10 354
Y H Gao China 3 305 0.9× 173 0.6× 56 1.0× 17 0.5× 13 0.5× 7 386
Bruna Rodrigues Muys United States 11 455 1.3× 353 1.2× 61 1.1× 20 0.6× 15 0.6× 15 532
Guoyan Liu China 10 362 1.1× 291 1.0× 87 1.6× 22 0.6× 29 1.1× 21 452
Yao‐Jie Pan China 10 255 0.7× 190 0.6× 36 0.7× 15 0.4× 16 0.6× 17 319
Chengcheng Ren China 12 514 1.5× 444 1.5× 75 1.4× 22 0.6× 40 1.5× 13 629
Heping Kan China 12 290 0.9× 221 0.7× 89 1.6× 48 1.4× 16 0.6× 18 425
Yingru Zhi China 9 405 1.2× 337 1.1× 40 0.7× 60 1.7× 23 0.9× 11 498

Countries citing papers authored by Bo‐Liang Liu

Since Specialization
Citations

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

Fields of papers citing papers by Bo‐Liang Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bo‐Liang Liu

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

All Works

11 of 11 papers shown
1.
Chen, Shuo, Dandan Wu, Xiu‐Bo Sang, et al.. (2017). The lncRNA HULC functions as an oncogene by targeting ATG7 and ITGB1 in epithelial ovarian carcinoma. Cell Death and Disease. 8(10). e3118–e3118. 97 indexed citations
2.
Sang, Xiu‐Bo, Zhi‐Hong Zong, Lili Wang, et al.. (2017). E2F-1 targets miR-519d to regulate the expression of the ras homolog gene family member C. Oncotarget. 8(9). 14777–14793. 13 indexed citations
3.
Wang, Lili, Yin‐Ling Xiu, Xi Chen, et al.. (2017). The transcription factor FOXA1 induces epithelial ovarian cancer tumorigenesis and progression. Tumor Biology. 39(5). 3726132221–3726132221. 26 indexed citations
4.
Zhao, Yang, et al.. (2016). Role of glycogen synthase kinase-3β inhibitor AZD1080 in ovarian cancer. Drug Design Development and Therapy. 10. 1225–1225. 10 indexed citations
5.
Sun, Kaixuan, Ying Chen, Shuo Chen, et al.. (2016). The correlation between microRNA490-3p and TGFα in endometrial carcinoma tumorigenesis and progression. Oncotarget. 7(8). 9236–9249. 18 indexed citations
6.
Chen, Shuo, Xi Chen, Kaixuan Sun, et al.. (2016). MicroRNA-93 Promotes Epithelial–Mesenchymal Transition of Endometrial Carcinoma Cells. PLoS ONE. 11(11). e0165776–e0165776. 35 indexed citations
7.
Chen, Shuo, et al.. (2016). The role of metastasis‐associated in colon cancer 1 (MACC1) in endometrial carcinoma tumorigenesis and progression. Molecular Carcinogenesis. 56(4). 1361–1371. 19 indexed citations
8.
Chen, Shuo, Kaixuan Sun, Bo‐Liang Liu, Zhi‐Hong Zong, & Yang Zhao. (2016). MicroRNA-505 functions as a tumor suppressor in endometrial cancer by targeting TGF-α. Molecular Cancer. 15(1). 11–11. 72 indexed citations
9.
Chen, Shuo, Kaixuan Sun, Bo‐Liang Liu, Zhi‐Hong Zong, & Yang Zhao. (2016). The role of glycogen synthase kinase-3β (GSK-3β) in endometrial carcinoma: A carcinogenesis, progression, prognosis, and target therapy marker. Oncotarget. 7(19). 27538–27551. 25 indexed citations
10.
Sun, Kaixuan, et al.. (2015). MicroRNA-186 induces sensitivity of ovarian cancer cells to paclitaxel and cisplatin by targeting ABCB1. Journal of Ovarian Research. 8(1). 80–80. 60 indexed citations
11.
Liu, Bo‐Liang, Kaixuan Sun, Zhi‐Hong Zong, Shuo Chen, & Yang Zhao. (2015). MicroRNA-372 inhibits endometrial carcinoma development by targeting the expression of the Ras homolog gene family member C (RhoC). Oncotarget. 7(6). 6649–6664. 36 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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