Fu‐Sen Liang

1.2k total citations
37 papers, 933 citations indexed

About

Fu‐Sen Liang is a scholar working on Molecular Biology, Organic Chemistry and Ecology. According to data from OpenAlex, Fu‐Sen Liang has authored 37 papers receiving a total of 933 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 7 papers in Organic Chemistry and 5 papers in Ecology. Recurrent topics in Fu‐Sen Liang's work include Advanced biosensing and bioanalysis techniques (12 papers), RNA and protein synthesis mechanisms (8 papers) and RNA modifications and cancer (7 papers). Fu‐Sen Liang is often cited by papers focused on Advanced biosensing and bioanalysis techniques (12 papers), RNA and protein synthesis mechanisms (8 papers) and RNA modifications and cancer (7 papers). Fu‐Sen Liang collaborates with scholars based in United States, China and Israel. Fu‐Sen Liang's co-authors include Gerald R. Crabtree, Wen Qi Ho, Chi‐Huey Wong, Hao Yan, Ying Xu, Dan Gao, Lac V. Lee, Guihua Zeng, Steven J. Sucheck and Micha Fridman and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Angewandte Chemie International Edition.

In The Last Decade

Fu‐Sen Liang

36 papers receiving 918 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fu‐Sen Liang United States 15 727 140 94 76 75 37 933
Virginie Gervais France 19 819 1.1× 97 0.7× 80 0.9× 92 1.2× 140 1.9× 36 1.1k
Ana M. Sánchez United States 22 853 1.2× 137 1.0× 80 0.9× 150 2.0× 144 1.9× 50 1.1k
Jenn-Kang Hwang Taiwan 14 663 0.9× 138 1.0× 75 0.8× 31 0.4× 130 1.7× 18 918
John D. Bagert United States 13 960 1.3× 216 1.5× 117 1.2× 57 0.8× 25 0.3× 15 1.2k
Jaehoon Yu South Korea 25 1.2k 1.6× 201 1.4× 61 0.6× 101 1.3× 58 0.8× 74 1.4k
Carla C. Oliveira Brazil 21 1.0k 1.4× 139 1.0× 116 1.2× 39 0.5× 73 1.0× 48 1.4k
Lionel Guittat France 21 2.2k 3.0× 152 1.1× 73 0.8× 76 1.0× 52 0.7× 36 2.4k
Dominique Guianvarc’h France 18 810 1.1× 267 1.9× 65 0.7× 33 0.4× 44 0.6× 49 1.1k
Scott W. Nelson United States 17 536 0.7× 73 0.5× 163 1.7× 119 1.6× 147 2.0× 43 787
Laurent Brino France 21 1.0k 1.4× 92 0.7× 154 1.6× 100 1.3× 50 0.7× 35 1.3k

Countries citing papers authored by Fu‐Sen Liang

Since Specialization
Citations

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

Fields of papers citing papers by Fu‐Sen Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fu‐Sen Liang. 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 Fu‐Sen Liang. The network helps show where Fu‐Sen Liang may publish in the future.

Co-authorship network of co-authors of Fu‐Sen Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Fu‐Sen Liang. A scholar is included among the top collaborators of Fu‐Sen Liang 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 Fu‐Sen Liang. Fu‐Sen Liang 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.
Kim, Byung‐Gyu, Jay Myers, Hao Yan, et al.. (2025). Engineering TME-gated inducible CAR-T cell therapy for solid tumors. Molecular Therapy. 33(8). 3546–3558. 3 indexed citations
2.
Liang, Fu‐Sen, et al.. (2024). A Customizable Platform to Integrate CAR and Conditional Expression of Immunotherapeutics in T Cells. International Journal of Molecular Sciences. 25(19). 10568–10568. 1 indexed citations
3.
Wagner, Sarah, et al.. (2024). Induced proximity labeling and editing for epigenetic research. Cell chemical biology. 31(6). 1118–1131.
4.
Chen, Jing, et al.. (2023). A theranostic abscisic acid-based molecular glue. Chemical Science. 14(12). 3377–3384. 11 indexed citations
5.
Xu, Ying, Yufan Wang, & Fu‐Sen Liang. (2023). Site‐Specific m6A Erasing via Conditionally Stabilized CRISPR‐Cas13b Editor. Angewandte Chemie International Edition. 62(43). e202309291–e202309291. 6 indexed citations
6.
Xu, Ying, Yufan Wang, & Fu‐Sen Liang. (2023). Site‐Specific m6A Erasing via Conditionally Stabilized CRISPR‐Cas13b Editor. Angewandte Chemie. 135(43). 1 indexed citations
7.
Xu, Ying, et al.. (2022). Inducible and reversible RNA N6-methyladenosine editing. Nature Communications. 13(1). 1958–1958. 43 indexed citations
8.
Xu, Ying, et al.. (2021). Investigating crosstalk between H3K27 acetylation and H3K4 trimethylation in CRISPR/dCas-based epigenome editing and gene activation. Scientific Reports. 11(1). 15912–15912. 47 indexed citations
9.
Yan, Hao, et al.. (2020). Bifunctional small molecule-oligonucleotide hybrid as microRNA inhibitor. Bioorganic & Medicinal Chemistry. 28(7). 115394–115394. 8 indexed citations
10.
Yan, Hao & Fu‐Sen Liang. (2019). miRNA inhibition by proximity-enabled Dicer inactivation. Methods. 167. 117–123. 11 indexed citations
11.
Yan, Hao, et al.. (2018). Design, synthesis and activity of light deactivatable microRNA inhibitor. Bioorganic Chemistry. 80. 492–497. 9 indexed citations
12.
Gao, Dan & Fu‐Sen Liang. (2018). Chemical Inducible dCas9-Guided Editing of H3K27 Acetylation in Mammalian Cells. Methods in molecular biology. 1767. 429–445. 4 indexed citations
13.
Zeng, Guihua, Huanqiu Li, Yongyi Wei, et al.. (2017). Engineering Iron Responses in Mammalian Cells by Signal-Induced Protein Proximity. ACS Synthetic Biology. 6(6). 921–927. 14 indexed citations
14.
Liang, Fu‐Sen, et al.. (2014). Light Control of Cellular Processes by Using Photocaged Abscisic Acid. ChemBioChem. 16(2). 254–261. 48 indexed citations
15.
Liang, Fu‐Sen, Wen Qi Ho, & Gerald R. Crabtree. (2011). Engineering the ABA Plant Stress Pathway for Regulation of Induced Proximity. Science Signaling. 4(164). rs2–rs2. 220 indexed citations
16.
Liang, Fu‐Sen, Ashraf Brik, Ying‐Chuan Lin, John H. Elder, & Chi‐Huey Wong. (2005). Epoxide opening in water and screening in situ for rapid discovery of enzyme inhibitors in microtiter plates. Bioorganic & Medicinal Chemistry. 14(4). 1058–1062. 13 indexed citations
17.
Agnelli, Fabio, Steven J. Sucheck, David Rabuka, et al.. (2004). Dimeric Aminoglycosides as Antibiotics. Angewandte Chemie International Edition. 43(12). 1562–1566. 56 indexed citations
18.
Fridman, Micha, Valery Belakhov, Lac V. Lee, et al.. (2004). Dual Effect of Synthetic Aminoglycosides: Antibacterial Activity against Bacillus anthracis and Inhibition of Anthrax Lethal Factor. Angewandte Chemie International Edition. 44(3). 447–452. 67 indexed citations
19.
Liang, Fu‐Sen, Sheng‐Kai Wang, Takuji Nakatani, & Chi‐Huey Wong. (2004). Targeting RNAs with Tobramycin Analogues. Angewandte Chemie International Edition. 43(47). 6496–6500. 25 indexed citations
20.
Wong, Chi‐Huey & Fu‐Sen Liang. (2003). Surface Plasmon Resonance Study of RNA–Aminoglycoside Interactions. Methods in enzymology on CD-ROM/Methods in enzymology. 362. 340–353. 15 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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