Xiaobin Lv

3.2k total citations · 1 hit paper
31 papers, 1.9k citations indexed

About

Xiaobin Lv is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Xiaobin Lv has authored 31 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 23 papers in Cancer Research and 5 papers in Oncology. Recurrent topics in Xiaobin Lv's work include Cancer-related molecular mechanisms research (18 papers), RNA modifications and cancer (13 papers) and MicroRNA in disease regulation (12 papers). Xiaobin Lv is often cited by papers focused on Cancer-related molecular mechanisms research (18 papers), RNA modifications and cancer (13 papers) and MicroRNA in disease regulation (12 papers). Xiaobin Lv collaborates with scholars based in China, South Korea and United States. Xiaobin Lv's co-authors include Erwei Song, Herui Yao, Qiang Liu, Bodu Liu, Lijuan Sun, Chang Gong, Mu‐Sheng Zeng, Yandan Yao, Dangsheng Li and Ling Lin and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Cancer Cell.

In The Last Decade

Xiaobin Lv

31 papers receiving 1.9k citations

Hit Papers

A Cytoplasmic NF-κB Interacting Long Noncoding RNA Blocks... 2015 2026 2018 2022 2015 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
Xiaobin Lv China 17 1.6k 1.5k 189 130 115 31 1.9k
Dongdong Lu China 22 1.2k 0.8× 1.0k 0.7× 177 0.9× 67 0.5× 192 1.7× 46 1.6k
Zhuoan Cheng China 17 1.3k 0.8× 1.1k 0.7× 109 0.6× 97 0.7× 67 0.6× 21 1.6k
Yang-Hsiang Lin Taiwan 24 834 0.5× 683 0.5× 193 1.0× 101 0.8× 185 1.6× 59 1.3k
Huban Kutay United States 15 1.3k 0.8× 1.2k 0.8× 145 0.8× 140 1.1× 336 2.9× 19 1.9k

Countries citing papers authored by Xiaobin Lv

Since Specialization
Citations

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

Fields of papers citing papers by Xiaobin Lv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaobin Lv

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaobin Lv. A scholar is included among the top collaborators of Xiaobin Lv 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 Xiaobin Lv. Xiaobin Lv 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
2.
Li, Jiayu, Cong Ma, Junhong Li, et al.. (2023). LncRNA LBX2-AS1 impacts osteosarcoma sensitivity to JQ-1 by sequestering miR-597-3p away from BRD4. Frontiers in Oncology. 13. 1139588–1139588. 3 indexed citations
3.
Zhou, Ruhong, Xiaoming Ding, Yan Zhou, et al.. (2023). UCA1 Inhibits NKG2D-mediated Cytotoxicity of NK Cells to BreastCancer. Current Cancer Drug Targets. 24(2). 204–219. 4 indexed citations
4.
Yu, Bo, Feifei Zhang, Lang Liu, et al.. (2021). The novel prognostic risk factor STC2 can regulate the occurrence and progression of osteosarcoma via the glycolytic pathway. Biochemical and Biophysical Research Communications. 554. 25–32. 15 indexed citations
5.
Guo, Yuhong, Renfeng Liu, Feifei Zhang, et al.. (2021). Role of LncRNAs in regulating cancer amino acid metabolism. Cancer Cell International. 21(1). 209–209. 24 indexed citations
6.
Liu, Renfeng, Cheng Ju, Feifei Zhang, et al.. (2020). LncRNA GSEC promotes the proliferation, migration and invasion by sponging miR-588/ EIF5A2 axis in osteosarcoma. Biochemical and Biophysical Research Communications. 532(2). 300–307. 19 indexed citations
7.
Zhou, Ruihao, Xiaofeng Tang, Feifei Zhang, et al.. (2020). <p>Identification of BRMS1L as Metastasis Suppressing Gene in Esophageal Squamous Cell Carcinoma</p>. Cancer Management and Research. Volume 12. 531–539. 4 indexed citations
8.
Tian, Tian, Xiaobin Lv, Guokai Pan, et al.. (2019). Long Noncoding RNA MPRL Promotes Mitochondrial Fission and Cisplatin Chemosensitivity via Disruption of Pre-miRNA Processing. Clinical Cancer Research. 25(12). 3673–3688. 60 indexed citations
9.
Ju, Cheng, et al.. (2019). Exosomes May Be the Potential New Direction of Research in Osteoarthritis Management. BioMed Research International. 2019. 1–7. 14 indexed citations
10.
Qian, Xia, Feifei Zhang, Xiaofeng Tang, et al.. (2019). HDAC6 inhibitor WT161 induces apoptosis in retinoblastoma cells and synergistically interacts with cisplatin. Translational Cancer Research. 8(8). 2759–2768. 12 indexed citations
11.
Zhou, Ruihao, Jun Sun, Feifei Zhang, et al.. (2018). LncRNA SNHG5 promotes the progression of osteosarcoma by sponging the miR-212-3p/SGK3 axis. Cancer Cell International. 18(1). 141–141. 51 indexed citations
12.
Sang, Yi, Jianjun Tang, Siwei Li, et al.. (2016). LncRNA PANDAR regulates the G1/S transition of breast cancer cells by suppressing p16INK4A expression. Scientific Reports. 6(1). 22366–22366. 57 indexed citations
13.
Liao, Dan, Li Zhong, Ru-Hua Zhang, et al.. (2015). Aspirin Suppresses the Growth and Metastasis of Osteosarcoma through the NF-κB Pathway. Clinical Cancer Research. 21(23). 5349–5359. 101 indexed citations
14.
Liu, Bodu, Lijuan Sun, Qiang Liu, et al.. (2015). A Cytoplasmic NF-κB Interacting Long Noncoding RNA Blocks IκB Phosphorylation and Suppresses Breast Cancer Metastasis. Cancer Cell. 27(3). 370–381. 746 indexed citations breakdown →
15.
Sang, Yi, Chun Cheng, Xiaofeng Tang, Meifang Zhang, & Xiaobin Lv. (2015). Hypermethylation of TET1 Promoter Is a New Diagnosic Marker for Breast Cancer Metastasis. Asian Pacific Journal of Cancer Prevention. 16(3). 1197–1200. 16 indexed citations
16.
Ji, Shufeng, Guoli Shao, Xiaobin Lv, et al.. (2013). Downregulation of miRNA‐128 sensitises breast cancer cell to chemodrugs by targeting Bax. Cell Biology International. 37(7). 653–658. 22 indexed citations
17.
Lv, Xiaobin, et al.. (2013). Long Noncoding RNA HOTAIR Is a Prognostic Marker for Esophageal Squamous Cell Carcinoma Progression and Survival. PLoS ONE. 8(5). e63516–e63516. 140 indexed citations
18.
Hu, Haiyan, Shuqin Li, Xiuying Cui, et al.. (2013). The Overexpression of Hypomethylated miR-663 Induces Chemotherapy Resistance in Human Breast Cancer Cells by Targeting Heparin Sulfate Proteoglycan 2 (HSPG2). Journal of Biological Chemistry. 288(16). 10973–10985. 101 indexed citations
19.
Liu, Yujie, Haiyan Li, Juan Feng, et al.. (2013). Lin28 Induces Epithelial-to-Mesenchymal Transition and Stemness via Downregulation of Let-7a in Breast Cancer Cells. PLoS ONE. 8(12). e83083–e83083. 76 indexed citations
20.
Lv, Xiaobin, Yu Jiao, Haiyan Hu, et al.. (2011). miR-124 suppresses multiple steps of breast cancer metastasis by targeting a cohort of pro-metastatic genes in vitro. Chinese Journal of Cancer. 30(12). 821–830. 64 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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