Xiquan Liang

2.9k total citations · 1 hit paper
33 papers, 2.3k citations indexed

About

Xiquan Liang is a scholar working on Molecular Biology, Genetics and Genetics. According to data from OpenAlex, Xiquan Liang has authored 33 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 4 papers in Genetics and 3 papers in Genetics. Recurrent topics in Xiquan Liang's work include CRISPR and Genetic Engineering (7 papers), Advanced biosensing and bioanalysis techniques (5 papers) and RNA Interference and Gene Delivery (4 papers). Xiquan Liang is often cited by papers focused on CRISPR and Genetic Engineering (7 papers), Advanced biosensing and bioanalysis techniques (5 papers) and RNA Interference and Gene Delivery (4 papers). Xiquan Liang collaborates with scholars based in United States, Belgium and Austria. Xiquan Liang's co-authors include Marilyn D. Resh, Jason Potter, Jonathan D. Chesnut, Namritha Ravinder, Shantanu Kumar, Horst Schulz, Sridhar Ranganathan, Wen Chen, Jason Carte and Mahalakshmi Sridharan and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Neuroscience and Genes & Development.

In The Last Decade

Xiquan Liang

33 papers receiving 2.2k citations

Hit Papers

Rapid and highly efficien... 2015 2026 2018 2022 2015 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
Xiquan Liang United States 23 1.7k 310 220 215 142 33 2.3k
Maximillian T. Follettie United States 24 3.4k 2.0× 590 1.9× 176 0.8× 257 1.2× 117 0.8× 33 4.1k
Hiroshi Takemoto Japan 24 1.1k 0.6× 144 0.5× 188 0.9× 97 0.5× 84 0.6× 65 1.7k
Sang Hoon Ha South Korea 24 1.8k 1.0× 149 0.5× 439 2.0× 195 0.9× 136 1.0× 49 2.6k
Jui‐Yoa Chang United States 29 1.8k 1.1× 383 1.2× 334 1.5× 321 1.5× 199 1.4× 93 2.8k
Thierry Buchou France 21 2.9k 1.7× 725 2.3× 239 1.1× 371 1.7× 119 0.8× 41 3.6k
V. Kinzel Germany 31 2.6k 1.5× 190 0.6× 571 2.6× 433 2.0× 180 1.3× 126 3.5k
Lora Swenson United States 20 2.1k 1.2× 108 0.3× 339 1.5× 364 1.7× 90 0.6× 29 2.9k
Joseph Krebs United States 25 2.7k 1.6× 140 0.5× 275 1.3× 377 1.8× 64 0.5× 37 3.2k
Attila Reményi Hungary 26 2.7k 1.6× 292 0.9× 516 2.3× 225 1.0× 49 0.3× 50 3.3k
Katja Kuhlmann Germany 19 839 0.5× 69 0.2× 118 0.5× 127 0.6× 215 1.5× 24 1.3k

Countries citing papers authored by Xiquan Liang

Since Specialization
Citations

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

Fields of papers citing papers by Xiquan Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiquan Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Xiquan Liang. A scholar is included among the top collaborators of Xiquan 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 Xiquan Liang. Xiquan 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.
Liang, Xiquan, Jason Potter, Shantanu Kumar, Namritha Ravinder, & Jonathan D. Chesnut. (2016). Enhanced CRISPR/Cas9-mediated precise genome editing by improved design and delivery of gRNA, Cas9 nuclease, and donor DNA. Journal of Biotechnology. 241. 136–146. 179 indexed citations
2.
Liang, Xiquan, Huimin Xie, Shantanu Kumar, et al.. (2016). Improved delivery of Cas9 protein/gRNA complexes using lipofectamine CRISPRMAX. Biotechnology Letters. 38(6). 919–929. 132 indexed citations
3.
Liang, Xiquan, Jason Potter, Shantanu Kumar, et al.. (2015). Rapid and highly efficient mammalian cell engineering via Cas9 protein transfection. Journal of Biotechnology. 208. 44–53. 563 indexed citations breakdown →
5.
Liang, Xiquan, Darren R. Veach, David Wisniewski, et al.. (2006). Quantification of change in phosphorylation of BCR‐ABL kinase and its substrates in response to Imatinib treatment in human chronic myelogenous leukemia cells. PROTEOMICS. 6(16). 4554–4564. 40 indexed citations
6.
7.
Liang, Xiquan, et al.. (2004). Leaky β-Oxidation of a trans-Fatty Acid. Journal of Biological Chemistry. 279(50). 52160–52167. 25 indexed citations
8.
Liang, Xiquan, Yun Lu, Meredith Wilkes, Thomas A. Neubert, & Marilyn D. Resh. (2004). The N-terminal SH4 Region of the Src Family Kinase Fyn Is Modified by Methylation and Heterogeneous Fatty Acylation. Journal of Biological Chemistry. 279(9). 8133–8139. 58 indexed citations
9.
Liang, Xiquan, et al.. (2004). Signaling from Integrins to Fyn to Rho Family GTPases Regulates Morphologic Differentiation of Oligodendrocytes. Journal of Neuroscience. 24(32). 7140–7149. 206 indexed citations
10.
Laethem, François Van, Xiquan Liang, Fabienne Andris, et al.. (2003). Glucocorticoids Alter the Lipid and Protein Composition of Membrane Rafts of a Murine T Cell Hybridoma. The Journal of Immunology. 170(6). 2932–2939. 35 indexed citations
11.
Tran, Khai, Xiquan Liang, Jing Shan, et al.. (2003). Assembly and Secretion of Very Low Density Lipoproteins Containing Apolipoprotein B48 in Transfected McA-RH7777 Cells. Journal of Biological Chemistry. 278(16). 14153–14161. 17 indexed citations
12.
Liang, Xiquan, Yun Lu, Thomas A. Neubert, & Marilyn D. Resh. (2002). Mass Spectrometric Analysis of GAP-43/Neuromodulin Reveals the Presence of a Variety of Fatty Acylated Species. Journal of Biological Chemistry. 277(36). 33032–33040. 95 indexed citations
13.
Liang, Xiquan, et al.. (2002). Phosphatidylinositol 3-Kinase and Src Family Kinases Are Required for Phosphorylation and Membrane Recruitment of Dok-1 in c-Kit Signaling. Journal of Biological Chemistry. 277(16). 13732–13738. 45 indexed citations
14.
Liang, Xiquan, et al.. (2001). Impact of the intramitochondrial enzyme organization on fatty acid oxidation. Biochemical Society Transactions. 29(2). 279–279. 22 indexed citations
15.
Vinson, Joe A., Jihong Yang, John Proch, & Xiquan Liang. (2000). Grape Juice, but Not Orange Juice, Has In Vitro, Ex Vivo , and In Vivo Antioxidant Properties. Journal of Medicinal Food. 3(4). 167–171. 24 indexed citations
16.
Liang, Xiquan, Colin Thorpe, & Horst Schulz. (2000). 2,4-Dienoyl-CoA Reductase from Escherichia coli Is a Novel Iron–Sulfur Flavoprotein That Functions in Fatty Acid β-Oxidation. Archives of Biochemistry and Biophysics. 380(2). 373–379. 23 indexed citations
17.
Liang, Xiquan, et al.. (1999). Δ3,5,7,Δ2,4,6-Trienoyl-CoA Isomerase, a Novel Enzyme That Functions in the β-Oxidation of Polyunsaturated Fatty Acids with Conjugated Double Bonds. Journal of Biological Chemistry. 274(20). 13830–13835. 14 indexed citations
18.
Geisbrecht, Brian V., Xiquan Liang, James C. Morrell, Horst Schulz, & Stephen J. Gould. (1999). The Mouse Gene PDCR Encodes a Peroxisomal Δ2,Δ4-Dienoyl-CoA Reductase. Journal of Biological Chemistry. 274(36). 25814–25820. 24 indexed citations
20.
Alfano, R. R., Stavros G. Demos, S. K. Gayen, et al.. (1998). Time‐Resolved and Nonlinear Optical Imaging for Medical Applicationsa. Annals of the New York Academy of Sciences. 838(1). 14–28. 36 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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