Liting Lv

621 total citations
30 papers, 483 citations indexed

About

Liting Lv is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Liting Lv has authored 30 papers receiving a total of 483 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 11 papers in Oncology and 10 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Liting Lv's work include RNA modifications and cancer (8 papers), Lung Cancer Treatments and Mutations (5 papers) and Cancer-related Molecular Pathways (4 papers). Liting Lv is often cited by papers focused on RNA modifications and cancer (8 papers), Lung Cancer Treatments and Mutations (5 papers) and Cancer-related Molecular Pathways (4 papers). Liting Lv collaborates with scholars based in China and United Kingdom. Liting Lv's co-authors include Runzhou Ni, Qun Xue, Guoxin Mao, Buyou Chen, Tingting Ni, Chunhua Wan, Yifei Liu, Cong Xia, Guinv Hu and Yiqun Zhou and has published in prestigious journals such as PLoS ONE, Oncogene and Scientific Reports.

In The Last Decade

Liting Lv

30 papers receiving 480 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Liting Lv China 15 320 152 100 76 54 30 483
M. Ángeles Villaronga Spain 17 420 1.3× 162 1.1× 139 1.4× 74 1.0× 41 0.8× 28 577
Julian Musa Germany 8 334 1.0× 136 0.9× 113 1.1× 108 1.4× 39 0.7× 18 500
Hong Qi China 17 430 1.3× 198 1.3× 125 1.3× 61 0.8× 61 1.1× 29 597
Hongwei Luo China 15 398 1.2× 185 1.2× 93 0.9× 90 1.2× 37 0.7× 34 587
Yong Gu China 10 324 1.0× 181 1.2× 100 1.0× 50 0.7× 51 0.9× 14 469
Rujun Mo China 13 282 0.9× 147 1.0× 115 1.1× 120 1.6× 67 1.2× 21 454
BaoHan T. Vo United States 12 335 1.0× 107 0.7× 114 1.1× 77 1.0× 42 0.8× 15 502
Kazuaki Fushimi Japan 15 333 1.0× 131 0.9× 135 1.4× 68 0.9× 52 1.0× 22 486
Daniel Delgado‐Bellido Spain 10 339 1.1× 182 1.2× 175 1.8× 60 0.8× 56 1.0× 18 488
Minzhang Cheng China 12 393 1.2× 115 0.8× 114 1.1× 73 1.0× 40 0.7× 26 558

Countries citing papers authored by Liting Lv

Since Specialization
Citations

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

Fields of papers citing papers by Liting Lv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liting Lv

This figure shows the co-authorship network connecting the top 25 collaborators of Liting Lv. A scholar is included among the top collaborators of Liting 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 Liting Lv. Liting 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.
Hua, Xin, et al.. (2025). Anlotinib enhances the anti-tumor activity of osimertinib in patients with non-small cell lung cancer by reversing drug resistance. Translational Lung Cancer Research. 14(1). 40–57. 1 indexed citations
2.
Lv, Liting, Hua Xin, Jiaxin Liu, et al.. (2024). Anlotinib reverses osimertinib resistance by inhibiting epithelial-to-mesenchymal transition and angiogenesis in non-small cell lung cancer. Journal of Biomedical Research. 39(5). 452–452. 4 indexed citations
3.
4.
Cui, Jiaxin, et al.. (2023). The structure correspondence hypothesis predicts how word and sentence in language correlate with term and principle in mathematics. Cognitive Processing. 25(2). 305–319. 1 indexed citations
5.
Cui, Jiaxin, et al.. (2023). Different cognitive mechanisms used for solving open and closed math problems. International Journal of Psychology. 58(6). 584–593. 1 indexed citations
6.
Xiao, Liang, Runwei Guan, Jiamin Zhu, et al.. (2023). A clinical decision support system to predict the efficacy for EGFR-TKIs based on artificial neural network. Journal of Cancer Research and Clinical Oncology. 149(13). 12265–12274. 6 indexed citations
7.
Cui, Jiaxin, et al.. (2022). Language Ability Accounts for Ethnic Difference in Mathematics Achievement. Frontiers in Psychology. 13. 929719–929719. 3 indexed citations
8.
Lv, Liting, Xiao Liang, Dan Wu, et al.. (2021). Is cardia cancer a special type of gastric cancer? A differential analysis of early cardia cancer and non-cardia cancer. Journal of Cancer. 12(8). 2385–2394. 22 indexed citations
9.
Hu, Guinv, et al.. (2020). A new clinical prognostic nomogram for liver cancer based on immune score. PLoS ONE. 15(7). e0236622–e0236622. 7 indexed citations
10.
11.
Ni, Tingting, Guoxin Mao, Qun Xue, et al.. (2015). Upregulated expression of ILF2 in non-small cell lung cancer is associated with tumor cell proliferation and poor prognosis. Journal of Molecular Histology. 46(4-5). 325–335. 34 indexed citations
12.
Liu, Yifei, Tingting Ni, Qun Xue, et al.. (2014). Involvement of p29/SYF2/fSAP29/NTC31 in the progression of NSCLC via modulating cell proliferation. Pathology - Research and Practice. 211(1). 36–42. 10 indexed citations
13.
Ji, Lili, Tingting Ni, Qun Xue, et al.. (2014). Transformer 2β (Tra2β/SFRS10) positively regulates the progression of NSCLC via promoting cell proliferation. Journal of Molecular Histology. 45(5). 573–582. 19 indexed citations
14.
Wan, Chunhua, Shiqiang Hou, Runzhou Ni, et al.. (2013). MIF4G domain containing protein regulates cell cycle and hepatic carcinogenesis by antagonizing CDK2-dependent p27 stability. Oncogene. 34(2). 237–245. 52 indexed citations
15.
Lv, Liting, Qun Xue, Chunhua Wan, et al.. (2013). Vacuolar protein sorting 4B, an ATPase protein positively regulates the progression of NSCLC via promoting cell division. Molecular and Cellular Biochemistry. 381(1-2). 163–171. 26 indexed citations
16.
Lu, Cuihua, Guoliang Liu, Xiaopeng Cui, et al.. (2013). Expression of SGTA Correlates with Prognosis and Tumor Cell Proliferation in Human Hepatocellular Carcinoma. Pathology & Oncology Research. 20(1). 51–60. 15 indexed citations
17.
Xue, Qun, Liting Lv, Chunhua Wan, et al.. (2013). Expression and clinical role of small glutamine-rich tetratricopeptide repeat (TPR)-containing protein alpha (SGTA) as a novel cell cycle protein in NSCLC. Journal of Cancer Research and Clinical Oncology. 139(9). 1539–1549. 16 indexed citations
18.
Xue, Qun, Yiqun Zhou, Chunhua Wan, et al.. (2013). Epithelial membrane protein 3 is frequently shown as promoter methylation and functions as a tumor suppressor gene in non-small cell lung cancer. Experimental and Molecular Pathology. 95(3). 313–318. 30 indexed citations
19.
Lv, Liting, Chunhua Wan, Buyou Chen, et al.. (2013). Nemo‐Like Kinase (NLK) Inhibits the Progression of NSCLC via Negatively Modulating WNT Signaling Pathway. Journal of Cellular Biochemistry. 115(1). 81–92. 36 indexed citations
20.
Liu, Yanhua, Xiaopeng Cui, Cuihua Lu, et al.. (2013). Upregulated expression of CAP1 is associated with tumor migration and metastasis in hepatocellular carcinoma. Pathology - Research and Practice. 210(3). 169–175. 26 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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