Shi‐Hui Dong

1.5k total citations
52 papers, 1.1k citations indexed

About

Shi‐Hui Dong is a scholar working on Molecular Biology, Pharmacology and Organic Chemistry. According to data from OpenAlex, Shi‐Hui Dong has authored 52 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Molecular Biology, 16 papers in Pharmacology and 6 papers in Organic Chemistry. Recurrent topics in Shi‐Hui Dong's work include Microbial Natural Products and Biosynthesis (16 papers), Phytochemical compounds biological activities (9 papers) and Biochemical and Structural Characterization (8 papers). Shi‐Hui Dong is often cited by papers focused on Microbial Natural Products and Biosynthesis (16 papers), Phytochemical compounds biological activities (9 papers) and Biochemical and Structural Characterization (8 papers). Shi‐Hui Dong collaborates with scholars based in China, United States and Russia. Shi‐Hui Dong's co-authors include Satish K. Nair, Jian‐Min Yue, Yan Wu, Chuan‐Rui Zhang, Douglas A. Mitchell, Wilfred A. van der Donk, Nilkamal Mahanta, Andi Liu, Jian Ding and Fang Guo and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and International Journal of Molecular Sciences.

In The Last Decade

Shi‐Hui Dong

48 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shi‐Hui Dong China 24 883 411 212 110 93 52 1.1k
Matthias Strieker Germany 11 653 0.7× 498 1.2× 167 0.8× 127 1.2× 102 1.1× 14 945
Kenichiro Nagai Japan 20 504 0.6× 377 0.9× 312 1.5× 162 1.5× 76 0.8× 68 997
Brian J. Beck United States 19 628 0.7× 391 1.0× 160 0.8× 111 1.0× 130 1.4× 28 991
Yoshimitsu Hamano Japan 25 1.4k 1.5× 469 1.1× 213 1.0× 209 1.9× 94 1.0× 77 1.7k
Ghader Bashiri New Zealand 22 852 1.0× 261 0.6× 136 0.6× 81 0.7× 53 0.6× 51 1.3k
Sung Ryeol Park South Korea 24 1.1k 1.2× 801 1.9× 352 1.7× 264 2.4× 130 1.4× 37 1.6k
Liujie Huo China 15 697 0.8× 556 1.4× 153 0.7× 192 1.7× 92 1.0× 36 953
Javier Santos‐Aberturas Spain 21 764 0.9× 696 1.7× 162 0.8× 187 1.7× 202 2.2× 31 1.1k
Zhiwei Qin China 16 396 0.4× 307 0.7× 128 0.6× 107 1.0× 132 1.4× 43 882
Dandan Chen China 15 438 0.5× 388 0.9× 161 0.8× 111 1.0× 42 0.5× 43 744

Countries citing papers authored by Shi‐Hui Dong

Since Specialization
Citations

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

Fields of papers citing papers by Shi‐Hui Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shi‐Hui Dong. 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 Shi‐Hui Dong. The network helps show where Shi‐Hui Dong may publish in the future.

Co-authorship network of co-authors of Shi‐Hui Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Shi‐Hui Dong. A scholar is included among the top collaborators of Shi‐Hui Dong 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 Shi‐Hui Dong. Shi‐Hui Dong 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.
Sun, Ke, Jiao‐Jiao Cui, Weixu Zhai, et al.. (2025). Iterative glycosylation on a single residue of a mature lasso peptide. Chemical Science. 16(15). 6480–6487. 3 indexed citations
2.
Cui, Jiao‐Jiao, Zhiyong Hu, Jinming Di, et al.. (2025). Characterization of an Iterative Halogenase Acting on Ribosomal Peptides Underlies the Combinatorial Biosynthesis Logic of Lasso Peptides. Journal of Natural Products. 88(3). 650–661. 5 indexed citations
3.
4.
Luo, Shangwen, Xinrong Li, Feng Qu, et al.. (2024). Trojan horse peptide conjugates remodel the activity spectrum of clinical antibiotics. Proceedings of the National Academy of Sciences. 122(1). e2319483121–e2319483121. 2 indexed citations
5.
Xia, Yuanyuan, Yue Zhao, Jing Tian, et al.. (2024). SIRPα modulates the podocyte cytoskeleton through influencing the phosphorylation of FAK at tyrosine residue 597. Acta Biochimica et Biophysica Sinica. 57(5). 782–791. 1 indexed citations
6.
Wang, Meng, Wen‐Wei Li, Zhe Cao, et al.. (2024). Genome mining of sulfonated lanthipeptides reveals unique cyclic peptide sulfotransferases. Acta Pharmaceutica Sinica B. 14(6). 2773–2785. 5 indexed citations
7.
Yu, Peng, Xi Zhao, Jingsong Shi, et al.. (2024). CMAP prediction and experimental validation of Forskolin as a podocyte protective and anti-proteinuric drug for nephrotoxic serum-treated mice. Biochemical Pharmacology. 232. 116727–116727.
8.
Yang, Xue, Shi‐Hui Dong, Yun Fan, et al.. (2023). Krüppel-like Factor 15 Suppresses Ferroptosis by Activating an NRF2/GPX4 Signal to Protect against Folic Acid-Induced Acute Kidney Injury. International Journal of Molecular Sciences. 24(19). 14530–14530. 6 indexed citations
9.
Zhong, Zheng, Zhuo Shang, Michael D. Walla, et al.. (2022). Correlational networking guides the discovery of unclustered lanthipeptide protease-encoding genes. Nature Communications. 13(1). 1647–1647. 25 indexed citations
10.
Liu, Andi, et al.. (2021). Functional elucidation of TfuA in peptide backbone thioamidation. Nature Chemical Biology. 17(5). 585–592. 25 indexed citations
11.
Dong, Shi‐Hui, et al.. (2020). Cytochalasins from Xylaria sp. CFL5, an Endophytic Fungus of Cephalotaxus fortunei. Natural Products and Bioprospecting. 11(1). 87–98. 11 indexed citations
12.
Dong, Shi‐Hui, Liujie Huo, Martin I. McLaughlin, et al.. (2019). Insights into AMS/PCAT transporters from biochemical and structural characterization of a double Glycine motif protease. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
13.
Dong, Shi‐Hui, Andi Liu, Nilkamal Mahanta, Douglas A. Mitchell, & Satish K. Nair. (2019). Mechanistic Basis for Ribosomal Peptide Backbone Modifications. ACS Central Science. 5(5). 842–851. 33 indexed citations
14.
Dong, Shi‐Hui, Liujie Huo, Martin I. McLaughlin, et al.. (2019). Insights into AMS/PCAT transporters from biochemical and structural characterization of a double Glycine motif protease. eLife. 8. 70 indexed citations
15.
Dong, Shi‐Hui, et al.. (2017). The pimeloyl-CoA synthetase BioW defines a new fold for adenylate-forming enzymes. Nature Chemical Biology. 13(6). 668–674. 33 indexed citations
16.
Dong, Shi‐Hui, Jia Liu, Yingzi Ge, et al.. (2012). Chemical constituents from Brucea javanica. Phytochemistry. 85. 175–184. 35 indexed citations
17.
Dong, Shi‐Hui, Xiu‐Feng He, Lei Dong, Yan Wu, & Jian‐Min Yue. (2012). Triterpenoids from Melia toosendan. Helvetica Chimica Acta. 95(2). 286–300. 17 indexed citations
18.
Dong, Shi‐Hui, Chuan‐Rui Zhang, Lei Dong, Yan Wu, & Jian‐Min Yue. (2011). Onoceranoid-Type Triterpenoids from Lansium domesticum. Journal of Natural Products. 74(5). 1042–1048. 33 indexed citations
19.
Liu, Hongbing, Chuan‐Rui Zhang, Shi‐Hui Dong, et al.. (2011). Limonoids and Triterpenoids from the Seeds of Melia azedarach. Chemical and Pharmaceutical Bulletin. 59(8). 1003–1007. 27 indexed citations
20.
Zhang, Chuan‐Rui, Hongbing Liu, Shi‐Hui Dong, et al.. (2009). Calycinumines A and B, Two Novel Alkaloids from Daphniphyllum calycinum. Organic Letters. 11(20). 4692–4695. 24 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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