Wei Yang

19.2k total citations · 5 hit papers
225 papers, 14.9k citations indexed

About

Wei Yang is a scholar working on Molecular Biology, Genetics and Pathology and Forensic Medicine. According to data from OpenAlex, Wei Yang has authored 225 papers receiving a total of 14.9k indexed citations (citations by other indexed papers that have themselves been cited), including 185 papers in Molecular Biology, 32 papers in Genetics and 21 papers in Pathology and Forensic Medicine. Recurrent topics in Wei Yang's work include DNA Repair Mechanisms (80 papers), DNA and Nucleic Acid Chemistry (73 papers) and RNA and protein synthesis mechanisms (44 papers). Wei Yang is often cited by papers focused on DNA Repair Mechanisms (80 papers), DNA and Nucleic Acid Chemistry (73 papers) and RNA and protein synthesis mechanisms (44 papers). Wei Yang collaborates with scholars based in United States, China and Japan. Wei Yang's co-authors include Marcin Nowotny, Roger Woodgate, Robert J. Crouch, Hong Ling, Changill Ban, François Boudsocq, Yang Gao, Thomas A. Steitz, Peggy Hsieh and Galina Obmolova and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Wei Yang

220 papers receiving 14.7k citations

Hit Papers

Crystal Structure of a Y-Family DNA Polymerase in Action 2000 2026 2008 2017 2001 2000 2010 2013 2021 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wei Yang United States 60 12.6k 2.4k 1.5k 1.4k 1.3k 225 14.9k
Ulrich Hübscher Switzerland 60 10.2k 0.8× 2.0k 0.8× 555 0.4× 1.7k 1.2× 898 0.7× 224 12.1k
Gregory L. Verdine United States 74 18.2k 1.4× 2.1k 0.9× 401 0.3× 1.5k 1.1× 1.4k 1.1× 208 21.3k
Peter Burgers United States 77 14.8k 1.2× 2.5k 1.0× 988 0.6× 2.2k 1.5× 370 0.3× 191 16.0k
Anastassis Perrakis Netherlands 59 12.5k 1.0× 1.6k 0.7× 435 0.3× 734 0.5× 622 0.5× 157 15.9k
C.H. Arrowsmith Canada 83 19.9k 1.6× 2.0k 0.8× 553 0.4× 1.3k 0.9× 534 0.4× 363 23.7k
Samuel H. Wilson United States 93 25.2k 2.0× 3.2k 1.3× 1.4k 0.9× 4.0k 2.8× 2.9k 2.3× 500 29.3k
Janusz M. Bujnicki Poland 61 13.4k 1.1× 1.4k 0.6× 270 0.2× 1.9k 1.3× 535 0.4× 322 15.3k
Mike O’Donnell United States 82 19.0k 1.5× 8.3k 3.5× 829 0.5× 1.1k 0.8× 368 0.3× 300 21.5k
Julian Adams United States 69 14.2k 1.1× 2.3k 0.9× 1.6k 1.0× 2.4k 1.7× 1.3k 1.0× 168 21.4k
Roger Woodgate United States 68 12.3k 1.0× 5.0k 2.1× 399 0.3× 2.7k 1.8× 354 0.3× 187 13.6k

Countries citing papers authored by Wei Yang

Since Specialization
Citations

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

Fields of papers citing papers by Wei Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wei Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Wei Yang. A scholar is included among the top collaborators of Wei Yang 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 Wei Yang. Wei Yang 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.
Yang, Xi, Xuemin Chen, Wei Yang, & Yves Pommier. (2025). Structural insights into human topoisomerase 3β DNA and RNA catalysis and nucleic acid gate dynamics. Nature Communications. 16(1). 834–834. 6 indexed citations
2.
Liu, Lan, et al.. (2025). Dynamic assemblies and coordinated reactions of non-homologous end joining. Nature. 643(8072). 847–854. 1 indexed citations
5.
Fang, Xin, Ziang Lu, Yafen Wang, et al.. (2024). Exonuclease-assisted enrichment and base resolution analysis of pseudouridine in single-stranded RNA. Chemical Science. 15(45). 19022–19028. 1 indexed citations
6.
Hamazaki, Nobuhiko, Wei Yang, Chengxiang Qiu, et al.. (2024). Retinoic acid induces human gastruloids with posterior embryo-like structures. Nature Cell Biology. 26(10). 1790–1803. 12 indexed citations
7.
Yang, Wei, Jin Seok Kim, Xuemin Chen, et al.. (2023). Lesion recognition by XPC, TFIIH and XPA in DNA excision repair. Acta Crystallographica Section A Foundations and Advances. 79(a1). a328–a328. 1 indexed citations
8.
Wald‐Dickler, Noah, et al.. (2021). A Comparison of Methylprednisolone and Dexamethasone in Intensive Care Patients With COVID-19. Journal of Intensive Care Medicine. 36(6). 673–680. 61 indexed citations
9.
Vaisman, Alexandra, Martin A.M. Reijns, Erin Walsh, et al.. (2021). Novel Escherichia coli active site dnaE alleles with altered base and sugar selectivity. Molecular Microbiology. 116(3). 909–925. 3 indexed citations
10.
Liu, Lan, Xuemin Chen, Huaibin Wang, et al.. (2021). Autophosphorylation transforms DNA-PK from protecting to processing DNA ends. Molecular Cell. 82(1). 177–189.e4. 54 indexed citations
11.
Xiao, Baichun & Wei Yang. (2020). A Bayesian learning model for estimating unknown demand parameter in revenue management. European Journal of Operational Research. 293(1). 248–262. 3 indexed citations
12.
Gao, Yang, Yanxiang Cui, Tara Fox, et al.. (2019). Structures and operating principles of the replisome. Science. 363(6429). 107 indexed citations
13.
Yang, Wei, Michael M. Seidman, W. Dean Rupp, & Yang Gao. (2019). Replisome structure suggests mechanism for continuous fork progression and post-replication repair. DNA repair. 81. 102658–102658. 16 indexed citations
14.
Hu, Jingtao, Shaokang Chen, Yue Sun, et al.. (2019). Characterization of Embryonic Skin Transcriptome in Anser cygnoides at Three Feather Follicles Developmental Stages. G3 Genes Genomes Genetics. 10(2). 443–454. 7 indexed citations
15.
Zhang, Feiran, Yunhee Kang, Mengli Wang, et al.. (2018). Fragile X mental retardation protein modulates the stability of its m6A-marked messenger RNA targets. Human Molecular Genetics. 27(22). 3936–3950. 182 indexed citations
16.
Bourillon, Agnès, Wei Yang, Caroline Pouvelle, et al.. (2013). Correlation of Phenotype/Genotype in a Cohort of 23 Xeroderma Pigmentosum-Variant Patients Reveals 12 New Disease-CausingPOLHMutations. Human Mutation. 35(1). 117–128. 28 indexed citations
17.
Yang, Wei, Lirong Tan, Shimo Li, et al.. (2011). Sensitive and specific detection of Agrobacterium tumefaciens in soil using a rapid polymerase chain reaction (PCR). African Journal of Microbiology Research. 5(6). 708–713. 5 indexed citations
18.
Ramón‐Maiques, Santiago, Alex Kuo, Adam G. W. Matthews, et al.. (2007). The plant homeodomain finger of RAG2 recognizes histone H3 methylated at both lysine-4 and arginine-2. Proceedings of the National Academy of Sciences. 104(48). 18993–18998. 162 indexed citations
19.
Nowotny, Marcin & Wei Yang. (2006). Stepwise analyses of metal ions in RNase H catalysis from substrate destabilization to product release. The EMBO Journal. 25(9). 1924–1933. 197 indexed citations
20.
Yang, Wei. (2003). Damage repair DNA polymerases Y. Current Opinion in Structural Biology. 13(1). 23–30. 121 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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