Liangcai Gu

2.1k total citations
31 papers, 1.4k citations indexed

About

Liangcai Gu is a scholar working on Molecular Biology, Biotechnology and Pharmacology. According to data from OpenAlex, Liangcai Gu has authored 31 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 11 papers in Biotechnology and 10 papers in Pharmacology. Recurrent topics in Liangcai Gu's work include Microbial Natural Products and Biosynthesis (9 papers), Enzyme Structure and Function (7 papers) and Marine Sponges and Natural Products (5 papers). Liangcai Gu is often cited by papers focused on Microbial Natural Products and Biosynthesis (9 papers), Enzyme Structure and Function (7 papers) and Marine Sponges and Natural Products (5 papers). Liangcai Gu collaborates with scholars based in United States, China and Japan. Liangcai Gu's co-authors include David H. Sherman, William H. Gerwick, Kristina Håkansson, Janet L. Smith, Bo Wang, Todd W. Geders, Zengyi Chang, John Aach, George M. Church and Peter Wipf and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Liangcai Gu

30 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Liangcai Gu United States 22 913 512 270 189 174 31 1.4k
Hajo Kries Germany 21 1.2k 1.3× 505 1.0× 110 0.4× 274 1.4× 169 1.0× 40 1.5k
Suzanne J. Admiraal United States 14 1.2k 1.3× 536 1.0× 138 0.5× 257 1.4× 169 1.0× 21 1.4k
Anna L. Vagstad United States 22 886 1.0× 901 1.8× 226 0.8× 247 1.3× 47 0.3× 39 1.4k
Jeremy R. Lohman United States 19 807 0.9× 521 1.0× 165 0.6× 218 1.2× 107 0.6× 47 1.1k
Lisa Nogle United States 18 480 0.5× 502 1.0× 396 1.5× 368 1.9× 30 0.2× 28 1.3k
M. Fujihashi Japan 19 755 0.8× 185 0.4× 105 0.4× 97 0.5× 225 1.3× 42 937
Andrew C. Eliot United States 14 855 0.9× 170 0.3× 73 0.3× 276 1.5× 350 2.0× 18 1.2k
Justin G. Stroh United States 21 1.2k 1.3× 290 0.6× 287 1.1× 457 2.4× 79 0.5× 35 2.0k
Wolfram Trowitzsch Germany 14 433 0.5× 309 0.6× 128 0.5× 239 1.3× 48 0.3× 27 791
Maximilian J. Helf United States 12 632 0.7× 388 0.8× 101 0.4× 158 0.8× 32 0.2× 15 835

Countries citing papers authored by Liangcai Gu

Since Specialization
Citations

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

Fields of papers citing papers by Liangcai Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liangcai Gu

This figure shows the co-authorship network connecting the top 25 collaborators of Liangcai Gu. A scholar is included among the top collaborators of Liangcai Gu 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 Liangcai Gu. Liangcai Gu 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.
Liang, Yafeng, et al.. (2025). Artificial intelligence-driven framework for discovering synthetic binding protein-like scaffolds from the entire protein universe. Briefings in Bioinformatics. 26(5). 1 indexed citations
2.
Ji, Bing, Runze Dong, Liangcai Gu, et al.. (2025). Single-cell and spatial detection of senescent cells using DeepScence. Cell Genomics. 5(12). 101035–101035.
3.
Kang, Shoukai, et al.. (2023). Picomolar-Level Sensing of Cannabidiol by Metal Nanoparticles Functionalized with Chemically Induced Dimerization Binders. ACS Sensors. 8(12). 4696–4706. 4 indexed citations
4.
Chen, Xiahui, Shoukai Kang, Zhi Zhao, et al.. (2022). Synthetic nanobody-functionalized nanoparticles for accelerated development of rapid, accessible detection of viral antigens. Biosensors and Bioelectronics. 202. 113971–113971. 22 indexed citations
5.
Zhang, Xiao, et al.. (2022). Combinatorial Approaches for Efficient Design of Photoswitchable Protein-Protein Interactions as In Vivo Actuators. Frontiers in Bioengineering and Biotechnology. 10. 844405–844405. 2 indexed citations
6.
Cao, Shiyun, Shoukai Kang, Haibin Mao, et al.. (2022). Defining molecular glues with a dual-nanobody cannabidiol sensor. Nature Communications. 13(1). 815–815. 76 indexed citations
7.
Fu, Xiaonan, Li Sun, Runze Dong, et al.. (2022). Polony gels enable amplifiable DNA stamping and spatial transcriptomics of chronic pain. Cell. 185(24). 4621–4633.e17. 80 indexed citations
9.
Khare, Dheeraj, Wendi A. Hale, Ashootosh Tripathi, et al.. (2015). Structural Basis for Cyclopropanation by a Unique Enoyl-Acyl Carrier Protein Reductase. Structure. 23(12). 2213–2223. 27 indexed citations
10.
Gu, Liangcai, Chao Li, John Aach, et al.. (2014). Multiplex single-molecule interaction profiling of DNA-barcoded proteins. Nature. 515(7528). 554–557. 66 indexed citations
11.
Gu, Liangcai, Somnath Dutta, Titus M. Franzmann, et al.. (2011). Tandem Acyl Carrier Proteins in the Curacin Biosynthetic Pathway Promote Consecutive Multienzyme Reactions with a Synergistic Effect. Angewandte Chemie International Edition. 50(12). 2795–2798. 39 indexed citations
12.
Gu, Liangcai, Todd W. Geders, William Clay Brown, et al.. (2011). Structure and activity of DmmA, a marine haloalkane dehalogenase. Protein Science. 21(2). 239–248. 32 indexed citations
13.
Gu, Liangcai, et al.. (2011). Terminal Alkene Formation by the Thioesterase of Curacin A Biosynthesis. Journal of Biological Chemistry. 286(16). 14445–14454. 58 indexed citations
14.
Gottstein, Daniel, Christopher Hein, Nina Ripin, et al.. (2011). Characterization of Molecular Interactions between ACP and Halogenase Domains in the Curacin A Polyketide Synthase. ACS Chemical Biology. 7(2). 378–386. 25 indexed citations
15.
Sharp, Koty, Karen E. Arthur, Liangcai Gu, et al.. (2009). Phylogenetic and Chemical Diversity of Three Chemotypes of Bloom-Forming Lyngbya Species ( Cyanobacteria : Oscillatoriales ) from Reefs of Southeastern Florida. Applied and Environmental Microbiology. 75(9). 2879–2888. 56 indexed citations
16.
Gu, Liangcai, Bo Wang, Todd W. Geders, et al.. (2009). Metamorphic enzyme assembly in polyketide diversification. Nature. 459(7247). 731–735. 148 indexed citations
17.
Gu, Liangcai, Todd W. Geders, Bo Wang, et al.. (2007). GNAT-Like Strategy for Polyketide Chain Initiation. Science. 318(5852). 970–974. 88 indexed citations
18.
Geders, Todd W., Liangcai Gu, Jonathan Mowers, et al.. (2007). Crystal Structure of the ECH2 Catalytic Domain of CurF from Lyngbya majuscula. Journal of Biological Chemistry. 282(49). 35954–35963. 42 indexed citations
19.
Abulimiti, Abuduaini, et al.. (2003). Mycobacterium tuberculosis Hsp16.3 Nonamers are Assembled and Re-assembled via Trimer and Hexamer Intermediates. Journal of Molecular Biology. 326(4). 1013–1023. 19 indexed citations
20.
Gu, Liangcai, Abuduaini Abulimiti, Wen Li, & Zengyi Chang. (2002). Monodisperse Hsp16.3 Nonamer Exhibits Dynamic Dissociation and Reassociation, with the Nonamer Dissociation Prerequisite for Chaperone-like Activity. Journal of Molecular Biology. 319(2). 517–526. 92 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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