Yan Qin

3.9k total citations · 2 hit papers
71 papers, 3.0k citations indexed

About

Yan Qin is a scholar working on Molecular Biology, Genetics and Organic Chemistry. According to data from OpenAlex, Yan Qin has authored 71 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Molecular Biology, 9 papers in Genetics and 6 papers in Organic Chemistry. Recurrent topics in Yan Qin's work include RNA and protein synthesis mechanisms (21 papers), RNA modifications and cancer (16 papers) and Genomics and Phylogenetic Studies (7 papers). Yan Qin is often cited by papers focused on RNA and protein synthesis mechanisms (21 papers), RNA modifications and cancer (16 papers) and Genomics and Phylogenetic Studies (7 papers). Yan Qin collaborates with scholars based in China, Germany and United States. Yan Qin's co-authors include Sanzhong Luo, Lihui Zhu, Knud H. Nierhaus, Daniel N. Wilson, Ruipu Zhang, Long Zhang, Li Xiao, Lin Sun, Yan Xu and Yu Liu and has published in prestigious journals such as Nature, Cell and Chemical Reviews.

In The Last Decade

Yan Qin

69 papers receiving 3.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Organocatalysis in Inert C–H Bond Functionalization

2017 645 citations Yan Qin, Sanzhong Luo et al. profile →
The mitochondria-targeted antioxidant MitoQ ameliorated tubular injury mediated by mitophagy in diabetic kidney disease via Nrf2/PINK1

2016 456 citations Li Xiao, Xiaoxuan Xu et al. Redox Biology profile →

Peers

Yan Qin

MB

OC

GENET

PS

CR

Takeshi Nagasu Japan

Shuji Takahashi Japan

Keisuke Kato Japan

Chi Huey Wong United Kingdom

Takeo Usui Japan

Rick A. Finch United States

Angela Chambery Italy

Prasad S. Sunkara United States

Makoto Hori Japan

Masahiro Okada Japan

Takeshi Nagasu Japan

Yan Qin

3.7k ×2.5

MB

804 ×1.0

OC

288 ×0.8

GENET

339 ×1.3

PS

218 ×1.1

CR

Citations per year, relative to Yan Qin Yan Qin (= 1×) peers Takeshi Nagasu

Countries citing papers authored by Yan Qin

Since Specialization

Citations

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

Fields of papers citing papers by Yan Qin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yan Qin

This figure shows the co-authorship network connecting the top 25 collaborators of Yan Qin. A scholar is included among the top collaborators of Yan Qin 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 Yan Qin. Yan Qin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Qin, Yan, et al.. (2024). Genome-wide identification and expression analysis of the kinesin gene superfamily suggests roles in response to abiotic stress and fertility of wheat (Triticum aestivum L.). BMC Genomics. 25(1). 1223–1223. 1 indexed citations

2.

Wang, Tianyu, et al.. (2024). Photonanozyme–Kras–ribosome combination treatment of non-small cell lung cancer after COVID-19. Frontiers in Immunology. 15. 1420463–1420463. 1 indexed citations

3.

Yang, Baochan, Lingzhi Cao, Kun Ge, et al.. (2024). FeSA‐Ir/Metallene Nanozymes Induce Sequential Ferroptosis‐Pyroptosis for Multi‐Immunogenic Responses Against Lung Metastasis. Small. 20(42). e2401110–e2401110. 9 indexed citations

4.

Wang, Peiwen, et al.. (2024). Idiopathic Pulmonary Fibrosis Caused by Damaged Mitochondria and Imbalanced Protein Homeostasis in Alveolar Epithelial Type II Cell. Advanced Biology. 9(4). e2400297–e2400297. 2 indexed citations

5.

Gart, Eveline, Kanita Salic, Martine C. Morrison, et al.. (2022). The Human Milk Oligosaccharide 2′-Fucosyllactose Alleviates Liver Steatosis, ER Stress and Insulin Resistance by Reducing Hepatic Diacylglycerols and Improved Gut Permeability in Obese Ldlr-/-.Leiden Mice. Frontiers in Nutrition. 9. 904740–904740. 16 indexed citations

6.

Wang, Qi, et al.. (2022). Organelle biogenesis: ribosomes as organizer and performer. Science Bulletin. 67(16). 1614–1617. 6 indexed citations

7.

Zhu, Ping, Fenglin Zhang, Xiufeng Bai, et al.. (2018). Human Elongation Factor 4 Regulates Cancer Bioenergetics by Acting as a Mitochondrial Translation Switch. Cancer Research. 78(11). 2813–2824. 16 indexed citations

8.

Sun, Guiling, Yuxing Xu, Hui Liu, et al.. (2018). Large-scale gene losses underlie the genome evolution of parasitic plant Cuscuta australis. Nature Communications. 9(1). 2683–2683. 138 indexed citations

9.

Zhang, Kai, Xiaorong Zhang, Zhiqiang Cai, et al.. (2018). A novel class of microRNA-recognition elements that function only within open reading frames. Nature Structural & Molecular Biology. 25(11). 1019–1027. 131 indexed citations

10.

Zhou, Yang, Yan Qin, Yingying Qin, et al.. (2018). Wdr62 is involved in female meiotic initiation via activating JNK signaling and associated with POI in humans. PLoS Genetics. 14(8). e1007463–e1007463. 27 indexed citations

11.

Xue, Min, et al.. (2018). A new species of Giardia Künstler, 1882 (Sarcomastigophora: Hexamitidae) in hamsters. Parasites & Vectors. 11(1). 202–202. 27 indexed citations

12.

Qin, Yan & Sanzhong Luo. (2017). Nature Inspires an Aerobic Coupling of Phenol and Amine. Chem. 2(4). 461–462. 5 indexed citations

13.

Xiao, Li, Xiaoxuan Xu, Fan Zhang, et al.. (2016). The mitochondria-targeted antioxidant MitoQ ameliorated tubular injury mediated by mitophagy in diabetic kidney disease via Nrf2/PINK1. Redox Biology. 11. 297–311. 456 indexed citations breakdown →

14.

Cao, Xintao & Yan Qin. (2016). Mitochondrial translation factors reflect coordination between organelles and cytoplasmic translation via mTOR signaling: Implication in disease. Free Radical Biology and Medicine. 100. 231–237. 8 indexed citations

15.

Zhang, Yanqing, Chandra Sekhar Mandava, Wei Cao, et al.. (2015). HflX is a ribosome-splitting factor rescuing stalled ribosomes under stress conditions. Nature Structural & Molecular Biology. 22(11). 906–913. 75 indexed citations

16.

Wang, Yanbo, Qiuling Li, Chunyi Liu, et al.. (2015). Protein Arginine Methyltransferase 5 (Prmt5) Is Required for Germ Cell Survival During Mouse Embryonic Development1. Biology of Reproduction. 92(4). 104–104. 14 indexed citations

17.

Wang, Xiang, et al.. (2012). Study on the chaperone properties of conserved GTPases. Protein & Cell. 3(1). 44–50. 2 indexed citations

18.

Li, Hualiang, et al.. (2012). Crocodile Oil Enhances Cutaneous Burn Wound Healing and Reduces Scar Formation in Rats. Academic Emergency Medicine. 19(3). 265–273. 40 indexed citations

19.

Qin, Yan, Norbert Polacek, Oliver Vesper, et al.. (2006). The Highly Conserved LepA Is a Ribosomal Elongation Factor that Back-Translocates the Ribosome. Cell. 127(4). 721–733. 156 indexed citations

20.

Qin, Yan, et al.. (2002). A STUDY OF THE GEL STRENGTH CHANGE OF PHOTOGELATIN IN DEPENDENCE THEIR CONTENT OF α COMPONENTS. 3 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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