Qing Lan

9.6k total citations · 1 hit paper
68 papers, 2.5k citations indexed

About

Qing Lan is a scholar working on Molecular Biology, Cancer Research and Pathology and Forensic Medicine. According to data from OpenAlex, Qing Lan has authored 68 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Molecular Biology, 25 papers in Cancer Research and 8 papers in Pathology and Forensic Medicine. Recurrent topics in Qing Lan's work include MicroRNA in disease regulation (12 papers), Circular RNAs in diseases (12 papers) and Cancer-related molecular mechanisms research (11 papers). Qing Lan is often cited by papers focused on MicroRNA in disease regulation (12 papers), Circular RNAs in diseases (12 papers) and Cancer-related molecular mechanisms research (11 papers). Qing Lan collaborates with scholars based in China, United States and France. Qing Lan's co-authors include Tao Liu, Pei Y. Liu, Jessica L. Bell, Stefan Hüttelmaier, Jacob Haase, Lian Xue, Nan Shao, Nathaniel Rothman, Feng Zhi and Jia Ouyang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and PLoS ONE.

In The Last Decade

Qing Lan

62 papers receiving 2.5k citations

Hit Papers

The Critical Role of RNA m6A Methylation in Cancer 2019 2026 2021 2023 2019 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qing Lan China 26 1.8k 1.1k 268 233 201 68 2.5k
Olga Martinho Portugal 26 967 0.5× 499 0.4× 308 1.1× 211 0.9× 219 1.1× 58 1.7k
Lei Han China 34 2.7k 1.5× 2.0k 1.7× 399 1.5× 140 0.6× 351 1.7× 121 3.7k
Jianping Li China 26 1.1k 0.6× 496 0.4× 266 1.0× 161 0.7× 328 1.6× 91 2.0k
Jinghuan Li China 21 1.4k 0.8× 1.0k 0.9× 199 0.7× 83 0.4× 90 0.4× 51 2.2k
Yazhou Cui China 27 1.2k 0.7× 538 0.5× 336 1.3× 142 0.6× 161 0.8× 95 2.2k
Yuqing Chen China 26 1.4k 0.8× 783 0.7× 326 1.2× 114 0.5× 75 0.4× 80 2.1k
Takaaki Takeda Japan 13 1.4k 0.8× 925 0.8× 838 3.1× 136 0.6× 261 1.3× 19 2.6k
Yong Xu China 26 1.1k 0.6× 631 0.5× 461 1.7× 161 0.7× 116 0.6× 83 2.1k
Xiaofeng Wang China 27 2.0k 1.1× 1.3k 1.2× 368 1.4× 107 0.5× 101 0.5× 90 2.9k
Meiju Ji China 35 2.1k 1.2× 685 0.6× 784 2.9× 334 1.4× 121 0.6× 116 3.5k

Countries citing papers authored by Qing Lan

Since Specialization
Citations

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

Fields of papers citing papers by Qing Lan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qing Lan

This figure shows the co-authorship network connecting the top 25 collaborators of Qing Lan. A scholar is included among the top collaborators of Qing Lan 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 Qing Lan. Qing Lan 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.
Jiao, Fangtong, et al.. (2024). Research on visual differences of exits of different grades of tunnels based on machine learning. SHILAP Revista de lepidopterología. 3(3). 75–81.
2.
Deng, Qiuting, Shengpeng Wang, Zijie Huang, et al.. (2023). Single-cell chromatin accessibility profiling of cell-state-specific gene regulatory programs during mouse organogenesis. Frontiers in Neuroscience. 17. 1170355–1170355.
3.
Lan, Qing, Ryan G. McClarren, & Karthik Vishwanath. (2023). Neural network-based inverse model for diffuse reflectance spectroscopy. Biomedical Optics Express. 14(9). 4725–4725. 5 indexed citations
4.
Lan, Qing, Yifu Li, John L. Robertson, & Ran Jin. (2021). Modeling of pre-transplantation liver viability with spatial-temporal smooth variable selection. Computer Methods and Programs in Biomedicine. 208. 106264–106264. 1 indexed citations
5.
Li, Guowei & Qing Lan. (2021). Exosome-Mediated Transfer of circ- GLIS3 Enhances Temozolomide Resistance in Glioma Cells Through the miR-548m/MED31 Axis. Cancer Biotherapy and Radiopharmaceuticals. 38(1). 62–73. 12 indexed citations
6.
Ouyang, Jia, Yu Jiang, Chao Deng, Zhiyuan Zhong, & Qing Lan. (2021). Doxorubicin Delivered via ApoE-Directed Reduction-Sensitive Polymersomes Potently Inhibit Orthotopic Human Glioblastoma Xenografts in Nude Mice. International Journal of Nanomedicine. Volume 16. 4105–4115. 19 indexed citations
7.
Wang, Dewei, et al.. (2019). Nicotine exerts neuroprotective effects by attenuating local inflammatory cytokine production following crush injury to rat sciatic nerves. European Cytokine Network. 30(2). 59–66. 11 indexed citations
8.
Shao, Nan, Lian Xue, Rong Wang, et al.. (2018). miR-454-3p Is an Exosomal Biomarker and Functions as a Tumor Suppressor in Glioma. Molecular Cancer Therapeutics. 18(2). 459–469. 81 indexed citations
9.
Cai, Gang, et al.. (2018). LncRNA SNHG6 acts as a prognostic factor to regulate cell proliferation in glioma through targeting p21. Biomedicine & Pharmacotherapy. 102. 452–457. 37 indexed citations
10.
Zhang, Jing, et al.. (2018). Identification of key gene modules for human osteosarcoma by co-expression analysis. World Journal of Surgical Oncology. 16(1). 89–89. 19 indexed citations
11.
Wang, Wen, Faliang Gao, Zheng Zhao, et al.. (2017). Integrated Analysis of LncRNA-mRNA Co-Expression Profiles in Patients with Moyamoya Disease. Scientific Reports. 7(1). 42421–42421. 24 indexed citations
12.
Liu, Guodong, Jinning Mao, Tao Sun, et al.. (2013). Transferrin-Modified Doxorubicin-Loaded Biodegradable Nanoparticles Exhibit Enhanced Efficacy in Treating Brain Glioma-Bearing Rats. Cancer Biotherapy and Radiopharmaceuticals. 28(9). 691–696. 28 indexed citations
13.
Hosgood, H. Dean, Wing-Yan Au, Hee Nam Kim, et al.. (2013). IL10 and TNF variants and risk of non-Hodgkin lymphoma among three Asian populations. International Journal of Hematology. 97(6). 793–799. 22 indexed citations
14.
Zhang, L, Qing Lan, Zhenhua Ji, et al.. (2012). Leukemia-related chromosomal loss detected in hematopoietic progenitor cells of benzene-exposed workers. Leukemia. 26(12). 2494–2498. 34 indexed citations
15.
Barry, Kathryn Hughes, Qing Lan, Shelia Hoar Zahm, et al.. (2011). Genetic Variation in Metabolic Genes, Occupational Solvent Exposure, and Risk of Non-Hodgkin Lymphoma. American Journal of Epidemiology. 173(4). 404–413. 26 indexed citations
16.
Shi, Wei, et al.. (2011). Peroxisome proliferator-activated receptor γ agonist pioglitazone inhibits β-catenin-mediated glioma cell growth and invasion. Molecular and Cellular Biochemistry. 349(1-2). 1–10. 38 indexed citations
17.
Figueroa, Jonine D., Núria Malats, Montserrat García‐Closas, et al.. (2008). Bladder cancer risk and genetic variation in AKR1C3 and other metabolizing genes. Carcinogenesis. 29(10). 1955–1962. 86 indexed citations
18.
Shen, Minxue, Tongzhang Zheng, Qing Lan, et al.. (2006). Polymorphisms in DNA repair genes and risk of non-Hodgkin lymphoma among women in Connecticut. Cancer Research. 66. 1076–1076. 1 indexed citations
19.
Lan, Qing. (2006). Cytokine polymorphisms in the Th1/Th2 pathway and susceptibility to non-Hodgkin lymphoma. Blood. 107(10). 4101–4108. 154 indexed citations
20.
Lan, Qing, Wong‐Ho Chow, Jolanta Lissowska, et al.. (2001). Glutathione S-transferase genotypes and stomach cancer in a population-based case-control study in Warsaw, Poland. Pharmacogenetics. 11(8). 655–661. 51 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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