Yanli Wang

18.0k total citations · 5 hit papers
235 papers, 9.6k citations indexed

About

Yanli Wang is a scholar working on Molecular Biology, Plant Science and Cancer Research. According to data from OpenAlex, Yanli Wang has authored 235 papers receiving a total of 9.6k indexed citations (citations by other indexed papers that have themselves been cited), including 169 papers in Molecular Biology, 32 papers in Plant Science and 23 papers in Cancer Research. Recurrent topics in Yanli Wang's work include RNA and protein synthesis mechanisms (31 papers), CRISPR and Genetic Engineering (28 papers) and RNA Interference and Gene Delivery (18 papers). Yanli Wang is often cited by papers focused on RNA and protein synthesis mechanisms (31 papers), CRISPR and Genetic Engineering (28 papers) and RNA Interference and Gene Delivery (18 papers). Yanli Wang collaborates with scholars based in China, United States and Germany. Yanli Wang's co-authors include Gang Sheng, Dinshaw J. Patel, Thomas Tuschl, Stefan Juranek, Jiuyu Wang, Haitao Li, Liang Liu, Xiche Hu, John van der Oost and Daan C. Swarts and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Yanli Wang

222 papers receiving 9.5k citations

Hit Papers

The evolutionary journey of Argonaute proteins 2014 2026 2018 2022 2014 2017 2014 2018 2024 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yanli Wang China 47 7.2k 1.3k 989 850 722 235 9.6k
Edwin De Pauw Belgium 65 6.5k 0.9× 1.0k 0.8× 1.1k 1.2× 909 1.1× 466 0.6× 477 14.9k
Jacek R. Wiśniewski Germany 51 12.4k 1.7× 1.2k 0.9× 965 1.0× 971 1.1× 1.3k 1.8× 174 18.2k
Markus Ralser United Kingdom 56 7.9k 1.1× 1.2k 0.9× 794 0.8× 709 0.8× 511 0.7× 166 11.3k
Martin R. Larsen Denmark 59 8.4k 1.2× 791 0.6× 773 0.8× 872 1.0× 882 1.2× 260 13.0k
Nagarjuna Nagaraj Germany 30 11.9k 1.7× 980 0.8× 1.0k 1.0× 1.1k 1.3× 1.3k 1.9× 39 17.2k
Juan Antonio Vizcaíno United Kingdom 42 9.8k 1.4× 758 0.6× 1.4k 1.4× 928 1.1× 1.1k 1.6× 127 14.4k
Daniel J. Rigden United Kingdom 52 7.1k 1.0× 866 0.7× 1.4k 1.4× 805 0.9× 435 0.6× 259 10.2k
John F. McDonald United States 53 4.9k 0.7× 1.0k 0.8× 2.1k 2.1× 843 1.0× 484 0.7× 190 9.2k
Alain Van Dorsselaer France 59 7.9k 1.1× 476 0.4× 1.1k 1.2× 1.4k 1.7× 1.3k 1.9× 263 12.8k
Ryuichiro Ishitani Japan 60 10.7k 1.5× 479 0.4× 1.4k 1.4× 1.7k 2.0× 786 1.1× 150 13.3k

Countries citing papers authored by Yanli Wang

Since Specialization
Citations

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

Fields of papers citing papers by Yanli Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yanli Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Yanli Wang. A scholar is included among the top collaborators of Yanli Wang 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 Yanli Wang. Yanli Wang 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.
Chen, Mengyuan, Chao Gao, Qi Wang, et al.. (2025). Somatostatin-expressing interneurons of prefrontal cortex modulate social deficits in the Magel2 mouse model of autism. Molecular Autism. 16(1). 18–18.
2.
Chen, Shengwen, Lulu Peng, Chengwei Zhu, et al.. (2024). Corneal asymmetry contributes decentration in both spherical and toric orthokeratology lenses. Ophthalmic and Physiological Optics. 45(1). 177–188.
3.
Garcı́a, Bianca, et al.. (2024). An anti-CRISPR that pulls apart a CRISPR–Cas complex. Nature. 632(8024). 375–382. 8 indexed citations
4.
Liu, Ruili, Junqing Sun, Lian‐Feng Li, et al.. (2024). Structural basis for difunctional mechanism of m-AMSA against African swine fever virus pP1192R. Nucleic Acids Research. 52(18). 11301–11316. 3 indexed citations
5.
Sun, Wei, Jinlong Wang, Zhi Cheng, et al.. (2023). Anti-CRISPR AcrIIC5 is a dsDNA mimic that inhibits type II-C Cas9 effectors by blocking PAM recognition. Nucleic Acids Research. 51(4). 1984–1995. 13 indexed citations
6.
Wang, Yanli, Zhiye Guo, & Jianlin Cheng. (2023). Single-cell Hi-C data enhancement with deep residual and generative adversarial networks. Bioinformatics. 39(8). 7 indexed citations
7.
He, Jianfeng, Rong Deng, Lian Li, et al.. (2023). PTEN ‐mediated dephosphorylation of 53BP1 confers cellular resistance to DNA damage in cancer cells. Molecular Oncology. 18(3). 580–605. 4 indexed citations
8.
Sun, Wei, Zhi Cheng, Jiuyu Wang, et al.. (2023). AcrIIC4 inhibits type II-C Cas9 by preventing R-loop formation. Proceedings of the National Academy of Sciences. 120(31). e2303675120–e2303675120. 7 indexed citations
9.
Li, Xinrong, et al.. (2020). Regular pattern formation regulates population dynamics: Logistic growth in cellular automata. Ecological Modelling. 418. 108878–108878. 5 indexed citations
10.
Wang, Jiyao, Philippe Youkharibache, Dachuan Zhang, et al.. (2019). iCn3D, a web-based 3D viewer for sharing 1D/2D/3D representations of biomolecular structures. Bioinformatics. 36(1). 131–135. 127 indexed citations
11.
Wang, Yanli & Yufeng Ding. (2019). How Can China Solve the Problem of Bad Vaccines after Changchun Changsheng ?. Biotechnology Law Report. 38(4). 224–228. 3 indexed citations
12.
Zhao, Xiao, Liang Liu, Jiayan Lang, et al.. (2018). A CRISPR-Cas13a system for efficient and specific therapeutic targeting of mutant KRAS for pancreatic cancer treatment. Cancer Letters. 431. 171–181. 112 indexed citations
13.
Wang, Yanli, Ran Cao, Dan Liu, et al.. (2017). In Silico Identification of a Novel Hinge-Binding Scaffold for Kinase Inhibitor Discovery. Journal of Medicinal Chemistry. 60(20). 8552–8564. 24 indexed citations
14.
Liu, Liang, Xueyan Li, Jiuyu Wang, et al.. (2017). Two Distant Catalytic Sites Are Responsible for C2c2 RNase Activities. Cell. 168(1-2). 121–134.e12. 236 indexed citations
15.
Zhu, Lizhe, Fu Kit Sheong, Xuefeng Cui, et al.. (2016). Understanding the core of RNA interference: The dynamic aspects of Argonaute-mediated processes. Progress in Biophysics and Molecular Biology. 128. 39–46. 7 indexed citations
16.
Man, Shuli, et al.. (2013). Phytochemistry, Pharmacology, Toxicology, and Structure-Cytotoxicity Relationship of Paridis Rhizome Saponin. Chinese Herbal Medicines. 5(1). 33–46. 14 indexed citations
17.
Xiao, Hong‐Wei, et al.. (2012). Who controls the monthly variations of NH4+ nitrogen isotope composition in precipitation?. Atmospheric Environment. 54. 201–206. 55 indexed citations
18.
Liu, Xiaowen, Baicheng Xu, Yiming Zhu, et al.. (2010). Analysis of a Large-Scale Screening of Mitochondrial DNA m.1555A>G Mutation in 2417 Deaf–Mute Students in Northwest of China. Genetic Testing and Molecular Biomarkers. 14(4). 527–531. 9 indexed citations
19.
Xiao, Hong‐Wei, Huayun Xiao, & Yanli Wang. (2010). Chemical characteristics and source apportionment of precipitation in Guiyang.. China Environmental Science. 30(12). 1590–1596. 7 indexed citations
20.
Wang, Yanli, et al.. (2000). Cn3D: sequence and structure views for Entrez. Trends in Biochemical Sciences. 25(6). 300–302. 211 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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