Xiaoting Lv

1.0k total citations
53 papers, 764 citations indexed

About

Xiaoting Lv is a scholar working on Molecular Biology, Cancer Research and Surgery. According to data from OpenAlex, Xiaoting Lv has authored 53 papers receiving a total of 764 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 21 papers in Cancer Research and 9 papers in Surgery. Recurrent topics in Xiaoting Lv's work include Cancer-related molecular mechanisms research (15 papers), RNA modifications and cancer (10 papers) and RNA Research and Splicing (10 papers). Xiaoting Lv is often cited by papers focused on Cancer-related molecular mechanisms research (15 papers), RNA modifications and cancer (10 papers) and RNA Research and Splicing (10 papers). Xiaoting Lv collaborates with scholars based in China, United States and India. Xiaoting Lv's co-authors include Baosen Zhou, Zhihua Yin, Qicai Liu, Zhigang Cui, Zhong-Hai Zhou, Junquan Liu, Juan Li, Sheng Zhang, Shengli Wang and Fuxing Chen and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and The FASEB Journal.

In The Last Decade

Xiaoting Lv

52 papers receiving 757 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaoting Lv China 17 501 281 90 70 67 53 764
Yu Ding China 16 564 1.1× 317 1.1× 113 1.3× 83 1.2× 93 1.4× 49 862
Jing Ding China 15 588 1.2× 337 1.2× 72 0.8× 72 1.0× 105 1.6× 37 844
Weiping Huang China 16 479 1.0× 351 1.2× 57 0.6× 48 0.7× 68 1.0× 45 750
Yong Han China 15 369 0.7× 245 0.9× 84 0.9× 45 0.6× 98 1.5× 53 683
Sung Hee Hong South Korea 17 466 0.9× 180 0.6× 50 0.6× 71 1.0× 109 1.6× 57 849
Xinyong Cai China 14 423 0.8× 167 0.6× 132 1.5× 76 1.1× 153 2.3× 35 960
Ece Konaç Türkiye 19 468 0.9× 280 1.0× 85 0.9× 88 1.3× 145 2.2× 59 941
Hailun Zheng China 22 445 0.9× 236 0.8× 93 1.0× 75 1.1× 167 2.5× 54 903

Countries citing papers authored by Xiaoting Lv

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoting Lv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoting Lv

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoting Lv. A scholar is included among the top collaborators of Xiaoting 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 Xiaoting Lv. Xiaoting 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
1.
Ma, Dapeng, Min Yang, Caiyu Sun, et al.. (2024). cGAS suppresses hepatocellular carcinoma independent of its cGAMP synthase activity. Cell Death and Differentiation. 31(6). 722–737. 9 indexed citations
2.
Chen, Dongmei, et al.. (2023). MOTS-c: A potential anti-pulmonary fibrosis factor derived by mitochondria. Mitochondrion. 71. 76–82. 3 indexed citations
3.
Chen, Qingquan, Xinxin Guo, Yuxin Liu, et al.. (2023). Selective deficiency of UCP-1 and adropin may lead to different subtypes of anti-neutrophil cytoplasmic antibody-associated vasculitis. Genes and Immunity. 24(1). 39–45. 1 indexed citations
4.
Liu, Qicai, Sheng Zhang, Min Chen, et al.. (2020). CGRP-Mediated Prolactin Upregulation: a Possible Pathomechanism in IgG4-Related Disease. Inflammation. 44(2). 536–548. 4 indexed citations
5.
Lv, Xiaoting, Feng Gao, Shuyu Zhang, et al.. (2020). Maladjustment of β-CGRP/α-CGRP Regulation of AQP5 Promotes Transition of Alveolar Epithelial Cell Apoptosis to Pulmonary Fibrosis. Journal of Interferon & Cytokine Research. 40(8). 377–388. 12 indexed citations
6.
Lv, Xiaoting, Zhigang Cui, Hang Li, et al.. (2019). Association between polymorphism in CDKN2B-AS1 gene and its interaction with smoking on the risk of lung cancer in a Chinese population. Human Genomics. 13(1). 58–58. 9 indexed citations
7.
Li, Juan, Hang Li, Xiaoting Lv, et al.. (2019). Diagnostic performance of circular RNAs in human cancers: A systematic review and meta‐analysis. Molecular Genetics & Genomic Medicine. 7(7). e00749–e00749. 17 indexed citations
8.
Bi, Yanhong, Zhigang Cui, Hang Li, et al.. (2019). Polymorphisms in Long Noncoding RNA-Prostate Cancer-Associated Transcript 1 Are Associated with Lung Cancer Susceptibility in a Northeastern Chinese Population. DNA and Cell Biology. 38(11). 1357–1365. 7 indexed citations
9.
Gao, Min, Hang Li, Yanhong Bi, et al.. (2019). The Polymorphisms of lncRNA HOXA11-AS and the risk of Lung Cancer in Northeastern Chinese population. Journal of Cancer. 11(3). 592–598. 7 indexed citations
10.
Wang, Shengli, Zhigang Cui, Hang Li, et al.. (2019). LncRNA NEAT1 polymorphisms and lung cancer susceptibility in a Chinese Northeast Han Population: A case-control study. Pathology - Research and Practice. 215(12). 152723–152723. 14 indexed citations
11.
Li, Juan, Zhigang Cui, Hang Li, et al.. (2018). Long non-coding RNA HOTAIR polymorphism and susceptibility to cancer: an updated meta-analysis. Environmental Health and Preventive Medicine. 23(1). 8–8. 19 indexed citations
12.
Li, Juan, Hang Li, Xiaoting Lv, et al.. (2018). Polymorphism in lncRNA AC016683.6 and its interaction with smoking exposure on the susceptibility of lung cancer. Cancer Cell International. 18(1). 7 indexed citations
13.
Li, Juan, Zhigang Cui, Hang Li, et al.. (2018). Clinicopathological and prognostic significance of long noncoding RNA MALAT1 in human cancers: a review and meta-analysis. Cancer Cell International. 18(1). 109–109. 25 indexed citations
14.
Lv, Xiaoting, Zhigang Cui, Zhihua Yin, et al.. (2018). Effects of three common polymorphisms in microRNAs on lung cancer risk: a meta-analysis. Translational Cancer Research. 7(2). 371–382. 1 indexed citations
15.
Li, Hang, Juan Li, Xiaoting Lv, et al.. (2018). Association Between Long Noncoding RNA MEG3 Polymorphisms and Lung Cancer Susceptibility in Chinese Northeast Population. DNA and Cell Biology. 37(10). 812–820. 26 indexed citations
16.
Gao, Min, Hang Li, Xiaoting Lv, Baosen Zhou, & Zhihua Yin. (2018). Association Between Four Polymorphisms in lncRNA and Risk of Lung Cancer in a Chinese Never-Smoking Female Population. DNA and Cell Biology. 37(8). 651–658. 7 indexed citations
17.
Lv, Xiaoting, Zhigang Cui, Hang Li, et al.. (2018). Polymorphism in lncRNA AC008392.1 and its interaction with smoking on the risk of lung cancer in a Chinese population. Cancer Management and Research. Volume 10. 1377–1387. 16 indexed citations
18.
Li, Hang, Juan Li, Xiaoting Lv, et al.. (2018). Genetic variants in lncRNA HOTAIR are associated with lung cancer susceptibility in a Chinese Han population in China: a case–control study. Cancer Management and Research. Volume 10. 5209–5218. 19 indexed citations
19.
Lv, Xiaoting, Feng Gao, Qicai Liu, et al.. (2017). Clinical and pathological characteristics of IgG4‑related interstitial lung disease. Experimental and Therapeutic Medicine. 15(2). 1465–1473. 9 indexed citations
20.
Deng, Chaosheng, et al.. (2015). The role of mononuclear cell tissue factor and inflammatory cytokines in patients with chronic thromboembolic pulmonary hypertension. Journal of Thrombosis and Thrombolysis. 42(1). 38–45. 33 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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