Weixin Tang

3.6k total citations · 2 hit papers
33 papers, 2.7k citations indexed

About

Weixin Tang is a scholar working on Molecular Biology, Pharmacology and Ecology. According to data from OpenAlex, Weixin Tang has authored 33 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 6 papers in Pharmacology and 3 papers in Ecology. Recurrent topics in Weixin Tang's work include CRISPR and Genetic Engineering (10 papers), RNA and protein synthesis mechanisms (10 papers) and Microbial Natural Products and Biosynthesis (6 papers). Weixin Tang is often cited by papers focused on CRISPR and Genetic Engineering (10 papers), RNA and protein synthesis mechanisms (10 papers) and Microbial Natural Products and Biosynthesis (6 papers). Weixin Tang collaborates with scholars based in United States, China and United Kingdom. Weixin Tang's co-authors include David R. Liu, Wilfred A. van der Donk, Johnny H. Hu, Zhi Lin, Xue Gao, Ning Sun, Liwei Chen, Maarten H. Geurts, Shannon M. Miller and Holly A. Rees and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Weixin Tang

31 papers receiving 2.6k citations

Hit Papers

Evolved Cas9 variants with broad PAM compatibility and hi... 2018 2026 2020 2023 2018 2023 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Weixin Tang United States 18 2.3k 351 349 293 209 33 2.7k
S.A. McMahon United Kingdom 26 1.9k 0.8× 108 0.3× 435 1.2× 229 0.8× 51 0.2× 52 2.6k
T.M. Schmeing Canada 24 3.0k 1.3× 754 2.1× 534 1.5× 155 0.5× 21 0.1× 57 3.3k
Zhi Lin United States 14 1.6k 0.7× 21 0.1× 269 0.8× 79 0.3× 50 0.2× 27 1.8k
Shaorong Chong United States 22 2.5k 1.1× 24 0.1× 376 1.1× 98 0.3× 28 0.1× 42 2.7k
Marc Ostermeier United States 31 2.7k 1.2× 52 0.1× 701 2.0× 348 1.2× 106 0.5× 95 3.4k
Heath E. Klock United States 20 1.0k 0.5× 56 0.2× 227 0.7× 241 0.8× 110 0.5× 37 1.4k
W. Marshall Stark United Kingdom 25 2.0k 0.9× 262 0.7× 869 2.5× 162 0.6× 45 0.2× 78 2.4k
Eui‐Jeon Woo South Korea 24 1.4k 0.6× 14 0.0× 161 0.5× 123 0.4× 17 0.1× 75 2.0k
J.D. Pédelacq France 19 2.3k 1.0× 202 0.6× 537 1.5× 271 0.9× 74 0.4× 35 3.0k
K. Muniyappa India 34 2.7k 1.2× 28 0.1× 817 2.3× 150 0.5× 38 0.2× 128 3.2k

Countries citing papers authored by Weixin Tang

Since Specialization
Citations

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

Fields of papers citing papers by Weixin Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weixin Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Weixin Tang. A scholar is included among the top collaborators of Weixin Tang 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 Weixin Tang. Weixin Tang 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.
Beckwith, Kai Sandvold, Florian Schueder, Weixin Tang, et al.. (2025). Nanoscale 3D DNA tracing in non-denatured cells resolves the Cohesin-dependent loop architecture of the genome in situ. Nature Communications. 16(1). 6673–6673.
2.
Tang, Weixin, et al.. (2025). Charting the development and engineering of CRISPR base editors: lessons and inspirations. Cell chemical biology. 32(6). 789–808.
3.
Wu, Yuan, Yu‐Lan Xiao, & Weixin Tang. (2025). High-precision cytosine base editors by evolving nucleic-acid-recognition hotspots in deaminase. Nature Biotechnology. 1 indexed citations
4.
Xu, Chengtao, et al.. (2025). Conversion of IscB and Cas9 into RNA-guided RNA editors. Cell. 188(21). 5847–5861.e11. 2 indexed citations
5.
Zou, Zhongyu, Chang Ye, Xiaoyang Dou, et al.. (2024). Profiling of RNA-binding protein binding sites by in situ reverse transcription-based sequencing. Nature Methods. 21(2). 247–258. 16 indexed citations
6.
Tan, Xiaoqing, et al.. (2024). Assessing and engineering the IscB–ωRNA system for programmed genome editing. Nature Chemical Biology. 20(12). 1617–1628. 15 indexed citations
7.
Ge, Ruiqi, et al.. (2024). N6‐Methyladenosine in Mammalian Messenger RNA: Function, Location, and Quantitation. Israel Journal of Chemistry. 64(3-4). 1 indexed citations
8.
Tang, Weixin, et al.. (2024). Programmed RNA editing with an evolved bacterial adenosine deaminase. Nature Chemical Biology. 20(10). 1361–1370. 4 indexed citations
9.
Xiao, Yu‐Lan, Yuan Wu, & Weixin Tang. (2024). An adenine base editor variant expands context compatibility. Nature Biotechnology. 42(9). 1442–1453. 17 indexed citations
10.
Xiao, Yu‐Lan, Shun Liu, Ruiqi Ge, et al.. (2023). Transcriptome-wide profiling and quantification of N6-methyladenosine by enzyme-assisted adenosine deamination. Nature Biotechnology. 41(7). 993–1003. 124 indexed citations breakdown →
11.
Wu, Tong, Chang Liu, Ruitu Lyu, et al.. (2023). An engineered hypercompact CRISPR-Cas12f system with boosted gene-editing activity. Nature Chemical Biology. 19(11). 1384–1393. 57 indexed citations
12.
Zhu, Lingyang, et al.. (2020). Correction: Structural determinants of macrocyclization in substrate-controlled lanthipeptide biosynthetic pathways. Chemical Science. 11(47). 12871–12876. 1 indexed citations
13.
Zhu, Lingyang, et al.. (2020). Structural determinants of macrocyclization in substrate-controlled lanthipeptide biosynthetic pathways. Chemical Science. 11(47). 12854–12870. 26 indexed citations
14.
Tang, Weixin & David R. Liu. (2018). Rewritable multi-event analog recording in bacterial and mammalian cells. Science. 360(6385). 173 indexed citations
15.
Hu, Johnny H., Shannon M. Miller, Maarten H. Geurts, et al.. (2018). Evolved Cas9 variants with broad PAM compatibility and high DNA specificity. Nature. 556(7699). 57–63. 1155 indexed citations breakdown →
16.
Tang, Weixin, Johnny H. Hu, & David R. Liu. (2017). Aptazyme-embedded guide RNAs enable ligand-responsive genome editing and transcriptional activation. Nature Communications. 8(1). 15939–15939. 170 indexed citations
17.
Tang, Weixin, Gonzalo Jiménez‐Osés, K. N. Houk, & Wilfred A. van der Donk. (2014). Substrate control in stereoselective lanthionine biosynthesis. Nature Chemistry. 7(1). 57–64. 78 indexed citations
18.
Tang, Weixin & Wilfred A. van der Donk. (2013). The sequence of the enterococcal cytolysin imparts unusual lanthionine stereochemistry. Nature Chemical Biology. 9(3). 157–159. 90 indexed citations
19.
Li, Na, Weixin Tang, Yu Xiang, et al.. (2009). Fluorescent salicylaldehyde hydrazone as selective chemosensor for Zn2+ in aqueous ethanol: a ratiometric approach. Luminescence. 25(6). 445–451. 36 indexed citations
20.
Tang, Weixin, et al.. (1996). Electrophoretic Mobility Shift Assay Identifies Vitamin D Binding Protein (Gc-Globulin) in Human, Rat, and Mouse Sera. Analytical Biochemistry. 237(2). 245–251. 7 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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