Jue Wang

11.8k total citations
91 papers, 2.2k citations indexed

About

Jue Wang is a scholar working on Molecular Biology, Plant Science and Food Science. According to data from OpenAlex, Jue Wang has authored 91 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Molecular Biology, 20 papers in Plant Science and 10 papers in Food Science. Recurrent topics in Jue Wang's work include Gut microbiota and health (8 papers), Microbial Metabolic Engineering and Bioproduction (7 papers) and RNA and protein synthesis mechanisms (5 papers). Jue Wang is often cited by papers focused on Gut microbiota and health (8 papers), Microbial Metabolic Engineering and Bioproduction (7 papers) and RNA and protein synthesis mechanisms (5 papers). Jue Wang collaborates with scholars based in China, United States and Hong Kong. Jue Wang's co-authors include Michael Springer, Yonatan Savir, Renan Escalante-Chong, Remko M. Boom, Maarten A.I. Schutyser, Pascalle J.M. Pelgrom, Frank‐D. Böhmer, Honglei Jia, Qianhua Cao and Jisheng Li and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Jue Wang

87 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jue Wang China 26 1.2k 367 191 190 167 91 2.2k
Beibei Wang China 28 1.2k 1.0× 518 1.4× 111 0.6× 143 0.8× 168 1.0× 185 2.6k
Kate Campbell Sweden 21 1.9k 1.6× 265 0.7× 147 0.8× 208 1.1× 261 1.6× 32 2.8k
Yajun Wang China 29 1.9k 1.5× 274 0.7× 169 0.9× 141 0.7× 317 1.9× 163 3.1k
Jinwen Chen China 25 1.2k 1.0× 233 0.6× 69 0.4× 279 1.5× 145 0.9× 96 2.7k
Jong‐Soon Choi South Korea 29 1.5k 1.3× 396 1.1× 116 0.6× 77 0.4× 236 1.4× 150 2.8k
Rahul Kumar India 29 1.1k 0.9× 388 1.1× 78 0.4× 106 0.6× 128 0.8× 100 2.4k
Eunüs S. Ali Australia 25 981 0.8× 308 0.8× 173 0.9× 76 0.4× 166 1.0× 49 2.2k
Lijing Chen China 22 1.3k 1.0× 498 1.4× 122 0.6× 163 0.9× 148 0.9× 95 2.5k
Hiroyuki Yano Japan 27 1.1k 0.9× 375 1.0× 282 1.5× 105 0.6× 95 0.6× 142 2.7k
Youichi Niimura Japan 26 1.2k 1.0× 156 0.4× 220 1.2× 190 1.0× 140 0.8× 74 1.8k

Countries citing papers authored by Jue Wang

Since Specialization
Citations

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

Fields of papers citing papers by Jue Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jue Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Jue Wang. A scholar is included among the top collaborators of Jue Wang 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 Jue Wang. Jue Wang 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.
Zhang, Guobin, et al.. (2025). Identification and functional characterization of MYB genes regulating polyphenol biosynthesis in cabbage for resistance to Xanthomonas campestris pv. campestris. Plant Physiology and Biochemistry. 222. 109714–109714. 1 indexed citations
2.
Yang, Bin, et al.. (2025). Dietary Modulation of the Gut Microbiota in Dogs and Cats and Its Role in Disease Management. Microorganisms. 13(12). 2669–2669.
3.
Li, Yanan, et al.. (2025). Longitudinal Analysis of the Immunostimulatory Properties and Safety Profile of Lacticaseibacillus rhamnosus LRa05 as a Dietary Supplement. Journal of Microbiology and Biotechnology. 35. e2502053–e2502053. 1 indexed citations
4.
Wang, Jie, et al.. (2024). Study of cabbage antioxidant system response on early infection stage of Xanthomonas campestris pv. campestris. BMC Plant Biology. 24(1). 324–324. 3 indexed citations
5.
Wang, Jue, et al.. (2024). Protein Design Using Structure-Prediction Networks: AlphaFold and RoseTTAFold as Protein Structure Foundation Models. Cold Spring Harbor Perspectives in Biology. 16(7). a041472–a041472. 13 indexed citations
6.
Wang, Jie, et al.. (2023). Effects of Xanthomonas campestris pv. campestris on the photosynthesis of cabbage in the early stage of infection. Scientia Horticulturae. 324. 112620–112620. 4 indexed citations
7.
8.
Tian, Shiyi, et al.. (2023). Galacto-Oligosaccharides Alleviate LPS-Induced Immune Imbalance in Small Intestine through Regulating Gut Microbe Composition and Bile Acid Pool. Journal of Agricultural and Food Chemistry. 71(46). 17615–17626. 7 indexed citations
9.
Ricci-Tam, Chiara, et al.. (2021). Decoupling transcription factor expression and activity enables dimmer switch gene regulation. Science. 372(6539). 292–295. 32 indexed citations
10.
Xu, Jing, Jinming Han, Junhao Zhang, et al.. (2021). Long non-coding RNA MEG3 promotes cisplatin-induced nephrotoxicity through regulating AKT/TSC/mTOR-mediated autophagy. International Journal of Biological Sciences. 17(14). 3968–3980. 23 indexed citations
11.
Wang, Jue, Wenjing Qi, & Guosong Chen. (2018). The effect of monosaccharides on self-assembly of benzenetricarboxamides. Chinese Chemical Letters. 30(3). 587–591. 7 indexed citations
12.
Wang, Jue, et al.. (2017). Recombinant expression insulin-like growth factor 1 in Bacillus subtilis using a low-cost heat-purification technology. Process Biochemistry. 63. 49–54. 8 indexed citations
13.
Savir, Yonatan, Sean M. Carroll, John Ingraham, et al.. (2015). Galactose metabolic genes in yeast respond to a ratio of galactose and glucose. Proceedings of the National Academy of Sciences. 112(5). 1636–1641. 92 indexed citations
14.
Yang, Liqun, Xuan Liang, Xianyue Ren, et al.. (2014). An efficient nonviral gene-delivery vector based on hyperbranched cationic glycogen derivatives. International Journal of Nanomedicine. 9. 419–419. 25 indexed citations
15.
Marquardt, Sebastian, Renan Escalante-Chong, Nam Pho, et al.. (2014). A Chromatin-Based Mechanism for Limiting Divergent Noncoding Transcription. Cell. 157(7). 1712–1723. 89 indexed citations
16.
Wang, Jue, et al.. (2009). BIO-INSPIRED DESIGN OF TACTILE SENSORS BASED ON IONIC POLYMER METAL COMPOSITES. Zenodo (CERN European Organization for Nuclear Research). 2 indexed citations
17.
Huang, Qing, Larry Baum, Junfu Huang, et al.. (2007). Isolation and enrichment of human genomic CpG islands by methylation-sensitive mirror orientation selection. Analytical Biochemistry. 365(2). 153–164. 1 indexed citations
18.
Wang, Jue. (2006). Structures and anti-histamine activities of phenolic acid derivatives from Bidens parviflora Willd.. Zhongguo yaowu huaxue zazhi. 2 indexed citations
19.
Anastasiadis, Panos Z., et al.. (2001). Identification of Src Phosphorylation Sites in the Catenin p120. Journal of Biological Chemistry. 276(30). 28006–28013. 124 indexed citations
20.
Schmitt, Manfred, et al.. (1996). Cell cycle studies on the mode of action of yeast K28 killer toxin. Microbiology. 142(9). 2655–2662. 68 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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