Qing Lin

3.1k total citations
65 papers, 2.4k citations indexed

About

Qing Lin is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Qing Lin has authored 65 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 21 papers in Oncology and 20 papers in Cancer Research. Recurrent topics in Qing Lin's work include Pancreatic and Hepatic Oncology Research (17 papers), MicroRNA in disease regulation (8 papers) and Cancer-related molecular mechanisms research (8 papers). Qing Lin is often cited by papers focused on Pancreatic and Hepatic Oncology Research (17 papers), MicroRNA in disease regulation (8 papers) and Cancer-related molecular mechanisms research (8 papers). Qing Lin collaborates with scholars based in China, United States and Germany. Qing Lin's co-authors include Quanbo Zhou, Shangyou Zheng, Zhihua Li, Huilin Ye, Guolin Li, Zhiqiang Fu, Yimin Liu, Lusheng Wei, Rufu Chen and Rufu Chen and has published in prestigious journals such as PLoS ONE, Cancer Research and Oncogene.

In The Last Decade

Qing Lin

62 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qing Lin China 31 1.2k 964 703 294 256 65 2.4k
Patrick Anglard France 24 1.4k 1.1× 960 1.0× 645 0.9× 158 0.5× 165 0.6× 53 2.5k
Ken‐ichirou Morishige Japan 27 1.2k 1.0× 307 0.3× 344 0.5× 200 0.7× 234 0.9× 90 2.4k
Ian Evans United Kingdom 23 932 0.8× 295 0.3× 299 0.4× 333 1.1× 241 0.9× 52 1.9k
Kelly A. Chiles United States 7 1.9k 1.5× 1.7k 1.8× 498 0.7× 158 0.5× 156 0.6× 13 3.1k
Qianghua Xia United States 18 921 0.8× 337 0.3× 581 0.8× 288 1.0× 195 0.8× 39 1.7k
Antonio Sánchez Spain 26 769 0.6× 426 0.4× 415 0.6× 281 1.0× 102 0.4× 78 2.1k
José Manuel González‐Sancho Spain 28 2.0k 1.6× 380 0.4× 740 1.1× 263 0.9× 164 0.6× 40 3.5k
Isabel Tritschler Switzerland 12 1.1k 0.9× 445 0.5× 518 0.7× 746 2.5× 135 0.5× 15 2.6k
Avelina Tortosa Spain 27 1.3k 1.0× 427 0.4× 475 0.7× 143 0.5× 121 0.5× 50 2.4k
Weidong Jin China 22 972 0.8× 318 0.3× 583 0.8× 120 0.4× 191 0.7× 87 1.9k

Countries citing papers authored by Qing Lin

Since Specialization
Citations

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

Fields of papers citing papers by Qing Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qing Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Qing Lin. A scholar is included among the top collaborators of Qing Lin 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 Lin. Qing Lin 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.
Lin, Qing, Honghao Huang, Yun Zou, et al.. (2025). Delivery of miR-29a/29c-3p by serum exosomes promotes osteogenesis through TET3-dependent Sox9 demethylation and PI3K/Akt activation. Journal of Nanobiotechnology. 23(1). 751–751.
2.
Chen, Hui, Jie Shen, Tao Yang, et al.. (2025). Circulating metabolomic profile of the MIND diet and its relation to cognition in middle‐aged and older adults. PubMed. 2(1). e61–e61. 2 indexed citations
3.
Huang, Tianhao, Chonghui Hu, Huimou Chen, et al.. (2025). Lactylation-driven NSUN2 -mediated RNA m5C modification promotes perineural invasion in pancreatic cancer. Theranostics. 16(4). 1782–1803.
4.
Lin, Qing, Guolin Li, Qing Tian, et al.. (2024). Extracellular vesicle–packaged PIAT from cancer-associated fibroblasts drives neural remodeling by mediating m5C modification in pancreatic cancer mouse models. Science Translational Medicine. 16(756). eadi0178–eadi0178. 32 indexed citations
5.
Kong, Yao, Yuming Luo, Yue Zhao, et al.. (2023). Mutant KRAS Mediates circARFGEF2 Biogenesis to Promote Lymphatic Metastasis of Pancreatic Ductal Adenocarcinoma. Cancer Research. 83(18). 3077–3094. 33 indexed citations
6.
Zheng, Shangyou, Qing Tian, Yuan Yuan, et al.. (2023). Extracellular vesicle-packaged circBIRC6 from cancer-associated fibroblasts induce platinum resistance via SUMOylation modulation in pancreatic cancer. Journal of Experimental & Clinical Cancer Research. 42(1). 324–324. 30 indexed citations
7.
Zheng, Shangyou, Chonghui Hu, Guolin Li, et al.. (2022). Cancer-associated fibroblast-induced lncRNA UPK1A-AS1 confers platinum resistance in pancreatic cancer via efficient double-strand break repair. Oncogene. 41(16). 2372–2389. 51 indexed citations
8.
9.
Liu, Zhisheng, Yonghua Cui, Dan Sun, et al.. (2020). Current Status, Diagnosis, and Treatment Recommendation for Tic Disorders in China. Frontiers in Psychiatry. 11. 774–774. 48 indexed citations
10.
Zhou, Quanbo, Zhiguo Li, Huilin Ye, et al.. (2019). Intraoperative Radiotherapy for Borderline Resectable Pancreatic Cancer: A Retrospective Analysis. 4(1). 1 indexed citations
11.
12.
Wei, Lusheng, Huilin Ye, Guolin Li, et al.. (2018). Cancer-associated fibroblasts promote progression and gemcitabine resistance via the SDF-1/SATB-1 pathway in pancreatic cancer. Cell Death and Disease. 9(11). 1065–1065. 134 indexed citations
13.
Ye, Huilin, Quanbo Zhou, Shangyou Zheng, et al.. (2018). Tumor-associated macrophages promote progression and the Warburg effect via CCL18/NF-kB/VCAM-1 pathway in pancreatic ductal adenocarcinoma. Cell Death and Disease. 9(5). 453–453. 175 indexed citations
14.
Ye, Huilin, Quanbo Zhou, Shangyou Zheng, et al.. (2018). FEZF1-AS1/miR-107/ZNF312B axis facilitates progression and Warburg effect in pancreatic ductal adenocarcinoma. Cell Death and Disease. 9(2). 34–34. 50 indexed citations
15.
16.
Wang, Yongkun, Chuanying Wang, Yijun Jia, et al.. (2014). Oxygen-Carbon Nanotubes as a Chemotherapy Sensitizer for Paclitaxel in Breast Cancer Treatment. PLoS ONE. 9(8). e104209–e104209. 15 indexed citations
17.
Zhang, Yuehua, Xiaoyan Liu, Xiaoling Yang, et al.. (2013). Early clinical features and diagnosis of Dravet syndrome in 138 Chinese patients with SCN1A mutations. Brain and Development. 36(8). 676–681. 36 indexed citations
18.
Zhou, Yu, Quanbo Zhou, Zhihua Li, et al.. (2012). The Impact of Internal or External Transanastomotic Pancreatic Duct Stents Following Pancreaticojejunostomy. Which One Is Better? A Meta-analysis. Journal of Gastrointestinal Surgery. 16(12). 2322–2335. 22 indexed citations
19.
Guo, Ning, Rufu Chen, Zhihua Li, et al.. (2011). Hepatitis C virus core upregulates the methylation status of the RASSF1A promoter through regulation of SMYD3 in hilar cholangiocarcinoma cells. Acta Biochimica et Biophysica Sinica. 43(5). 354–361. 30 indexed citations
20.
Fang, Liping, Qing Lin, Chaoshu Tang, & Xinmin Liu. (2009). Hydrogen sulfide suppresses migration, proliferation and myofibroblast transdifferentiation of human lung fibroblasts. Pulmonary Pharmacology & Therapeutics. 22(6). 554–561. 38 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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