Bei Yang

4.0k total citations · 2 hit papers
80 papers, 2.7k citations indexed

About

Bei Yang is a scholar working on Molecular Biology, Oncology and Epidemiology. According to data from OpenAlex, Bei Yang has authored 80 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Molecular Biology, 12 papers in Oncology and 10 papers in Epidemiology. Recurrent topics in Bei Yang's work include CRISPR and Genetic Engineering (21 papers), RNA and protein synthesis mechanisms (10 papers) and Advanced biosensing and bioanalysis techniques (9 papers). Bei Yang is often cited by papers focused on CRISPR and Genetic Engineering (21 papers), RNA and protein synthesis mechanisms (10 papers) and Advanced biosensing and bioanalysis techniques (9 papers). Bei Yang collaborates with scholars based in China, United States and Sweden. Bei Yang's co-authors include Jia Chen, Li Yang, Jia Wei, Ying Wang, Xingxu Huang, Jing Wu, Xiaosa Li, Michael J. Bouchard, David E. Smith and Jianping Ding and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Bei Yang

79 papers receiving 2.7k citations

Hit Papers

A pan-coronavirus fusion inhibitor targeting the HR1 doma... 2018 2026 2020 2023 2019 2018 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
Bei Yang China 27 1.9k 401 374 246 245 80 2.7k
Rui Wu China 25 1.9k 1.0× 296 0.7× 321 0.9× 274 1.1× 625 2.6× 93 3.3k
Natarajan V. Bhanu United States 33 2.0k 1.1× 497 1.2× 206 0.6× 459 1.9× 237 1.0× 72 3.7k
Guang Yang China 29 1.6k 0.9× 212 0.5× 240 0.6× 447 1.8× 264 1.1× 105 3.0k
Jonathan Greene United States 22 2.0k 1.1× 247 0.6× 494 1.3× 325 1.3× 456 1.9× 48 3.1k
Jeffrey C. Silva United States 23 3.2k 1.7× 158 0.4× 287 0.8× 371 1.5× 403 1.6× 32 4.5k
Samuel G. Mackintosh United States 30 2.2k 1.1× 140 0.3× 203 0.5× 230 0.9× 290 1.2× 79 2.9k
Martina Gentzsch United States 34 1.9k 1.0× 199 0.5× 276 0.7× 279 1.1× 166 0.7× 67 3.8k
Bettina Sarg Austria 32 2.0k 1.0× 141 0.4× 147 0.4× 159 0.6× 224 0.9× 105 3.1k
Shridhar Bhat United States 21 1.5k 0.8× 333 0.8× 112 0.3× 345 1.4× 331 1.4× 37 2.6k
Shuo Liu China 31 2.3k 1.2× 258 0.6× 202 0.5× 644 2.6× 195 0.8× 125 3.4k

Countries citing papers authored by Bei Yang

Since Specialization
Citations

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

Fields of papers citing papers by Bei Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bei Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Bei Yang. A scholar is included among the top collaborators of Bei 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 Bei Yang. Bei 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.
Fan, Yuhang, Wenchao Xu, Hao Qin, et al.. (2025). Leveraging base excision repair for efficient adenine base editing of mitochondrial DNA. Nature Biotechnology. 44(2). 277–290. 3 indexed citations
2.
Li, Guangye, Guo Chen, Jia Wei, et al.. (2025). Specific and efficient RNA A-to-I editing through cleavage of an ADAR inhibitor. Nature Biotechnology. 44(2). 303–315. 3 indexed citations
3.
Zhao, Jun, Jinghui Zhang, Shujing Xu, et al.. (2024). Transport and inhibition mechanisms of the human noradrenaline transporter. Nature. 632(8026). 930–937. 14 indexed citations
4.
Yang, Bei, et al.. (2024). Recent progress in gene therapy for familial hypercholesterolemia treatment. iScience. 27(9). 110641–110641. 3 indexed citations
5.
Xu, Wenchao, et al.. (2023). Nucleoside deaminases: the key players in base editing toolkit. Biophysics Reports. 9(6). 325–325. 2 indexed citations
6.
Huang, Bo, Feng Zhou, Chao Peng, et al.. (2023). Structure of human NaV1.6 channel reveals Na+ selectivity and pore blockade by 4,9-anhydro-tetrodotoxin. Nature Communications. 14(1). 1030–1030. 22 indexed citations
7.
Sun, S. F., et al.. (2023). Visualization of conformational transition of GRP94 in solution. Life Science Alliance. 7(2). e202302051–e202302051. 2 indexed citations
8.
Li, Xiaosa, Lina Zhou, Guangye Li, et al.. (2022). Highly efficient prime editing by introducing same-sense mutations in pegRNA or stabilizing its structure. Nature Communications. 13(1). 1669–1669. 102 indexed citations
9.
Li, Xiaojing, Feng Xu, Hao Xu, et al.. (2022). Structural basis for modulation of human NaV1.3 by clinical drug and selective antagonist. Nature Communications. 13(1). 1286–1286. 48 indexed citations
10.
Su, Jie, Qiaoshuai Lan, Yu Zhou, et al.. (2022). Antigenic mapping reveals sites of vulnerability on α-HCoV spike protein. Communications Biology. 5(1). 1179–1179. 5 indexed citations
11.
Dong, Yanli, Yiwei Gao, Shuai Xu, et al.. (2021). Closed-state inactivation and pore-blocker modulation mechanisms of human CaV2.2. Cell Reports. 37(5). 109931–109931. 43 indexed citations
12.
Xie, Jia, et al.. (2020). Inhibitory antibodies identify unique sites of therapeutic vulnerability in rhinovirus and other enteroviruses. Proceedings of the National Academy of Sciences. 117(24). 13499–13508. 9 indexed citations
13.
Chen, Jun, Jie Li, Wenzhang Chen, et al.. (2020). Allosteric inhibition of CRISPR-Cas9 by bacteriophage-derived peptides. Genome biology. 21(1). 51–51. 21 indexed citations
14.
Yang, Li, Bei Yang, & Jia Chen. (2019). One Prime for All Editing. Cell. 179(7). 1448–1450. 28 indexed citations
15.
Wang, Xiao, Jianan Li, Ying Wang, et al.. (2018). Efficient base editing in methylated regions with a human APOBEC3A-Cas9 fusion. Nature Biotechnology. 36(10). 946–949. 190 indexed citations
16.
Yang, Bei & David E. Smith. (2017). In Silico Absorption Analysis of Valacyclovir in Wildtype and Pept1 Knockout Mice Following Oral Dose Escalation. Pharmaceutical Research. 34(11). 2349–2361. 8 indexed citations
17.
Yang, Bei, Haiping Zhang, & Hao Wang. (2015). Atomistic insights into the lung cancer-associated L755P mutation in HER2 resistance to lapatinib: a molecular dynamics study. Journal of Molecular Modeling. 21(2). 24–24. 11 indexed citations
18.
Hurley, James H. & Bei Yang. (2013). Making Sense of Vps4. Journal of Molecular Biology. 426(3). 503–506. 4 indexed citations
19.
Shen, Ning, Minyu Zhou, Bei Yang, et al.. (2008). Catalytic mechanism of the tryptophan activation reaction revealed by crystal structures of human tryptophanyl-tRNA synthetase in different enzymatic states. Nucleic Acids Research. 36(4). 1288–1299. 35 indexed citations
20.
Yang, Bei, Bing He, Samy M. Abdel‐Halim, et al.. (1999). Molecular Cloning of a Full-Length cDNA for Human Type 3 Adenylyl Cyclase and Its Expression in Human Islets. Biochemical and Biophysical Research Communications. 254(3). 548–551. 18 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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