Qing Li

10.2k total citations · 5 hit papers
169 papers, 4.7k citations indexed

About

Qing Li is a scholar working on Molecular Biology, Epidemiology and Cancer Research. According to data from OpenAlex, Qing Li has authored 169 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Molecular Biology, 55 papers in Epidemiology and 39 papers in Cancer Research. Recurrent topics in Qing Li's work include Liver Disease Diagnosis and Treatment (22 papers), Cancer-related molecular mechanisms research (20 papers) and RNA modifications and cancer (16 papers). Qing Li is often cited by papers focused on Liver Disease Diagnosis and Treatment (22 papers), Cancer-related molecular mechanisms research (20 papers) and RNA modifications and cancer (16 papers). Qing Li collaborates with scholars based in China, Hong Kong and United States. Qing Li's co-authors include Jun Yu, Winnie Fong, Zhikui Liu, Qingguang Liu, Kangsheng Tu, Yufeng Wang, Jiao Wu, Xiangsheng Fu, Bowen Yao and Cong Wang and has published in prestigious journals such as Journal of Clinical Oncology, Bioinformatics and The Journal of Immunology.

In The Last Decade

Qing Li

158 papers receiving 4.6k citations

Hit Papers

Gut microbiota modulation: a novel strategy for preventio... 2020 2026 2022 2024 2020 2021 2023 2023 2024 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qing Li China 37 2.7k 1.1k 777 711 425 169 4.7k
Chi Chun Wong Hong Kong 37 3.0k 1.1× 1.4k 1.3× 451 0.6× 1.0k 1.5× 480 1.1× 95 4.6k
Marc Bissonnette United States 44 2.5k 1.0× 736 0.7× 627 0.8× 1.1k 1.5× 475 1.1× 123 4.9k
Xia Liu China 37 2.3k 0.9× 577 0.5× 469 0.6× 787 1.1× 746 1.8× 180 5.0k
Cheng Zhang China 39 2.3k 0.8× 695 0.6× 625 0.8× 389 0.5× 575 1.4× 184 4.6k
Krishna R. Kalari United States 35 3.3k 1.2× 1.1k 1.0× 306 0.4× 1.3k 1.8× 532 1.3× 131 5.5k
Charles Giardina United States 39 2.9k 1.1× 882 0.8× 327 0.4× 715 1.0× 527 1.2× 92 4.7k
Xiang Zhang Hong Kong 34 2.5k 0.9× 486 0.5× 1.9k 2.4× 860 1.2× 433 1.0× 71 4.8k
Bin Li China 37 2.6k 1.0× 796 0.7× 935 1.2× 498 0.7× 818 1.9× 271 5.2k
Weidong Xie China 39 2.4k 0.9× 1.3k 1.2× 948 1.2× 287 0.4× 830 2.0× 120 5.0k
Yan‐Dong Wang China 38 2.5k 0.9× 659 0.6× 1.0k 1.3× 1.5k 2.1× 432 1.0× 119 5.5k

Countries citing papers authored by Qing Li

Since Specialization
Citations

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

Fields of papers citing papers by Qing Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qing Li

This figure shows the co-authorship network connecting the top 25 collaborators of Qing Li. A scholar is included among the top collaborators of Qing Li 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 Li. Qing Li 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.
Hu, Wei, et al.. (2025). Removal of Hallucination on Hallucination: Debate-Augmented RAG. 15839–15853.
2.
Chan, Hung, Fengwu Li, Tatsuya Dokoshi, et al.. (2025). Psychological stress increases skin infection through the action of TGFβ to suppress immune-acting fibroblasts. Science Immunology. 10(106). eads0519–eads0519. 1 indexed citations
3.
Li, Qing, Shan Shen, & Ming Lei. (2024). Sensitivity of Functional Arterial Spin Labelling in Detecting Cerebral Blood Flow Changes. British Journal of Hospital Medicine. 85(12). 1–21. 1 indexed citations
4.
Li, Qing, et al.. (2023). PAK4-relevant proliferation reduced by cell autophagy via p53/mTOR/p-AKT signaling. Translational Cancer Research. 12(3). 461–472. 3 indexed citations
5.
Chen, Chen, Yan Wang, Yongxi Song, et al.. (2023). EP12.01-57 Unresectable Advanced NSCLC Transformed to Resectable NSCLC through Effective Aumolertinib Neoadjuvant Therapy: A Case Report. Journal of Thoracic Oncology. 18(11). S664–S664.
6.
Fong, Winnie, Qing Li, Harry Cheuk-Hay Lau, et al.. (2023). 461 LACTOBACILLUS GALLINARUM-DERIVED METABOLITES BOOST ANTI-PD1 EFFICACY IN COLORECTAL CANCER BY INHIBITING REGULATORY T CELLS THROUGH IDO1/KYN/AHR AXIS. Gastroenterology. 164(6). S–88. 1 indexed citations
7.
Li, Qing, et al.. (2022). Cocktail Formula and Application Prospects for Oral and Maxillofacial Organoids. Tissue Engineering and Regenerative Medicine. 19(5). 913–925. 4 indexed citations
8.
Wang, Zhe, Yijia Wang, Yafei Zhai, et al.. (2022). Impact of advanced liver fibrosis on atrial fibrillation recurrence after ablation in non-alcoholic fatty liver disease patients. Frontiers in Cardiovascular Medicine. 9. 960259–960259. 8 indexed citations
10.
Liu, Jingjing, Qing Li, Xueliang Chen, et al.. (2021). Genome-wide identification of Cellulose-like synthase D gene family in Dendrobium catenatum. Biotechnology & Biotechnological Equipment. 35(1). 1163–1176. 6 indexed citations
11.
Li, Qing, et al.. (2021). Identification of autophagy‐related long non‐coding RNA prognostic signature for breast cancer. Journal of Cellular and Molecular Medicine. 25(8). 4088–4098. 34 indexed citations
12.
Huang, Zhilong, Tingting Wang, Wenjun Xia, et al.. (2020). Oblongifolin C reverses GEM resistance via suppressing autophagy flux in bladder cancer cells. Experimental and Therapeutic Medicine. 20(2). 1431–1440. 10 indexed citations
13.
Cui, Enming, Qing Li, Yingjie Mei, et al.. (2020). Combination of hepatocyte fraction and diffusion-weighted imaging as a predictor in quantitative hepatic fibrosis evaluation. Abdominal Radiology. 45(11). 3681–3689. 3 indexed citations
14.
Gupta, Vaibhav, Jordan Levy, Laura Davis, et al.. (2020). Population Registry of Esophageal and Stomach Tumours in Ontario (PRESTO): protocol for a multicentre clinical and pathological database including 25 000 patients. BMJ Open. 10(5). e032729–e032729. 1 indexed citations
15.
Middlebrooks, Candace D., Qing Li, Carrie Snyder, et al.. (2019). Analysis of the CDKN2A Gene in FAMMM Syndrome Families Reveals Early Age of Onset for Additional Syndromic Cancers. Cancer Research. 79(11). 2992–3000. 9 indexed citations
16.
Tuo, Xiaoqian, Lanbo Zhao, Qi Wang, et al.. (2019). Validation of Molecular Typing for Endometrial Screening Test That Predicts Benign and Malignant Lesions. Frontiers in Oncology. 9. 561–561. 2 indexed citations
17.
Li, Qing, et al.. (2018). Prognostic role of ABO blood group in patients with unresectable hepatocellular carcinoma after transarterial chemoembolization. Therapeutics and Clinical Risk Management. Volume 14. 991–998. 7 indexed citations
18.
Li, Wenyuan, Qing Li, Jing Li, et al.. (2018). P57‐mediated autophagy promotes the efficacy of EGFR inhibitors in hepatocellular carcinoma. Liver International. 39(1). 147–157. 17 indexed citations
19.
Papp, Kim, Alexa B. Kimball, Andrew Blauvelt, et al.. (2018). EFFECT OF TILDRAKIZUMAB ON PERSONAL RELATIONSHIPS IN PATIENTS WITH MODERATE-TO-SEVERE CHRONIC PLAQUE PSORIASIS. 98. 1 indexed citations
20.
Jiang, Dan, Peng Qin, Yuelin Zhang, et al.. (2017). Inhibition of NUCKS Facilitates Corneal Recovery Following Alkali Burn. Scientific Reports. 7(1). 41224–41224. 20 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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