Yanqin Sun

1.6k total citations
65 papers, 1.2k citations indexed

About

Yanqin Sun is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Yanqin Sun has authored 65 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 18 papers in Cancer Research and 15 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Yanqin Sun's work include RNA modifications and cancer (11 papers), Cancer-related molecular mechanisms research (8 papers) and Ferroptosis and cancer prognosis (7 papers). Yanqin Sun is often cited by papers focused on RNA modifications and cancer (11 papers), Cancer-related molecular mechanisms research (8 papers) and Ferroptosis and cancer prognosis (7 papers). Yanqin Sun collaborates with scholars based in China and United States. Yanqin Sun's co-authors include Linlang Guo, Ying Guo, Yifeng Bai, Fan Zhang, Yu Wang, Yongguang Liu, Fa-Man Xiao, Chao Zeng, Ruixiang Tang and Qiongyao Wang and has published in prestigious journals such as Angewandte Chemie International Edition, Journal of Hazardous Materials and Clinical Cancer Research.

In The Last Decade

Yanqin Sun

58 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yanqin Sun China 19 776 604 219 174 101 65 1.2k
Baoguo Liu China 16 672 0.9× 452 0.7× 140 0.6× 87 0.5× 45 0.4× 51 1.1k
Sheng Chen China 21 346 0.4× 489 0.8× 458 2.1× 144 0.8× 75 0.7× 40 1.0k
Yangyang Zhou China 19 738 1.0× 504 0.8× 220 1.0× 201 1.2× 23 0.2× 55 1.2k
Shan Huang China 18 499 0.6× 400 0.7× 116 0.5× 101 0.6× 40 0.4× 61 926
Sonia Del Barco Spain 18 821 1.1× 434 0.7× 778 3.6× 230 1.3× 69 0.7× 50 1.4k
Tianyu Li China 22 430 0.6× 736 1.2× 324 1.5× 131 0.8× 100 1.0× 56 1.2k
Xiao Ke China 17 648 0.8× 285 0.5× 186 0.8× 67 0.4× 94 0.9× 53 1.1k
Sanyuan Sun China 18 647 0.8× 376 0.6× 242 1.1× 118 0.7× 28 0.3× 34 960
Zhikang Chen China 19 690 0.9× 378 0.6× 245 1.1× 129 0.7× 21 0.2× 64 1.1k

Countries citing papers authored by Yanqin Sun

Since Specialization
Citations

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

Fields of papers citing papers by Yanqin Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yanqin Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Yanqin Sun. A scholar is included among the top collaborators of Yanqin Sun 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 Yanqin Sun. Yanqin Sun 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.
Huang, Dan, et al.. (2025). Agaricus blazei Murill Extract (FA-2-b-β) Induces Ferroptosis in DiffuseLarge B-Cell Lymphoma via the Nrf2/HO-1 Pathway. Combinatorial Chemistry & High Throughput Screening. 28.
2.
Yu, Kaifu, Pan He, Dong Zhang, et al.. (2025). Full‐Dimensional Control of Covalent Organic Frameworks Through Repulsion‐Torsion Effect: Prominent 1D Above 2D and 3D Structures. Angewandte Chemie International Edition. 64(38). e202511501–e202511501. 3 indexed citations
3.
Sun, Yanqin, et al.. (2025). Molecular Rare-Earth Metal and Actinide Precursors for Chemical Vapor Deposition. ACS Applied Materials & Interfaces. 17(39). 54341–54355.
5.
Liu, Qian, Yanqin Sun, Chun Yang, et al.. (2024). Prenatal triphenyl phosphate exposure impairs placentation and induces preeclampsia-like symptoms in mice. Environmental Research. 257. 119159–119159. 3 indexed citations
6.
Zheng, Qiuyi, Yu Luo, Chengji Li, et al.. (2024). Effects of dietary arsenic exposure on liver metabolism in mice. Ecotoxicology and Environmental Safety. 274. 116147–116147. 8 indexed citations
7.
Sun, Yanqin, Bin Li, Rui Yu, et al.. (2024). The role of splicing events in the inflammatory response of atherosclerosis: molecular mechanisms and modulation. Frontiers in Immunology. 15. 1507420–1507420. 1 indexed citations
8.
Zhang, Bin, et al.. (2023). Long-term effects on liver metabolism induced by ceftriaxone sodium pretreatment. Environmental Pollution. 335. 122238–122238. 5 indexed citations
9.
Song, Hao, et al.. (2023). Identification of Potential Key Genes and Prognostic Biomarkers of Lung Cancer Based on Bioinformatics. BioMed Research International. 2023(1). 4 indexed citations
11.
Liu, Xiaoshan, Yuting Chen, Qian Liu, et al.. (2022). Gestation and lactation triphenyl phosphate exposure disturbs offspring gut microbiota in a sex-dependent pathway. Food and Chemical Toxicology. 172. 113579–113579. 8 indexed citations
12.
Sun, Yanqin, et al.. (2020). The clinical effects of a new management mode for hypertensive patients: a randomized controlled trial. Cardiovascular Diagnosis and Therapy. 10(6). 1805–1815. 14 indexed citations
13.
Nie, Pei, Guangjie Yang, Ning Wang, et al.. (2020). Additional value of metabolic parameters to PET/CT-based radiomics nomogram in predicting lymphovascular invasion and outcome in lung adenocarcinoma. European Journal of Nuclear Medicine and Molecular Imaging. 48(1). 217–230. 50 indexed citations
14.
Li, Rujia, et al.. (2020). Prediction Biomarkers Associated with Lymph Node Metastasis and Prognosis were Identified in Papillary Thyroid Carcinoma via Integrated Bioinformatics Analysis. Combinatorial Chemistry & High Throughput Screening. 24(9). 1395–1409. 4 indexed citations
15.
Nie, Pei, Guangjie Yang, Ning Wang, et al.. (2020). Correction to: Additional value of metabolic parameters to PET/CT-based radiomics nomogram in predicting lymphovascular invasion and outcome in lung adenocarcinoma. European Journal of Nuclear Medicine and Molecular Imaging. 48(1). 325–327. 5 indexed citations
16.
Dai, Haixia, et al.. (2020). Key genes involved in cell cycle arrest and DNA damage repair identified in anaplastic thyroid carcinoma using integrated bioinformatics analysis. Translational Cancer Research. 9(7). 4188–4203. 6 indexed citations
17.
Wang, Qiongyao, Fanrui Zeng, Yanqin Sun, et al.. (2017). Etk Interaction with PFKFB4 Modulates Chemoresistance of Small-cell Lung Cancer by Regulating Autophagy. Clinical Cancer Research. 24(4). 950–962. 58 indexed citations
18.
Ye, Minting, Ting Wei, Qiongyao Wang, et al.. (2017). TSPAN12 promotes chemoresistance and proliferation of SCLC under the regulation of miR-495. Biochemical and Biophysical Research Communications. 486(2). 349–356. 26 indexed citations
19.
Sun, Yanqin, et al.. (2016). The Volume-metabolic Combined Parameters from 18F-FDG PET/CT May Help Predict the Outcomes of Cervical Carcinoma. Academic Radiology. 23(5). 605–610. 17 indexed citations
20.
Guo, Linlang, Yongguang Liu, Yifeng Bai, et al.. (2010). Gene expression profiling of drug-resistant small cell lung cancer cells by combining microRNA and cDNA expression analysis. European Journal of Cancer. 46(9). 1692–1702. 125 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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