Mingzi M. Zhang

2.2k total citations
37 papers, 1.7k citations indexed

About

Mingzi M. Zhang is a scholar working on Molecular Biology, Biotechnology and Organic Chemistry. According to data from OpenAlex, Mingzi M. Zhang has authored 37 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 11 papers in Biotechnology and 9 papers in Organic Chemistry. Recurrent topics in Mingzi M. Zhang's work include Microbial Natural Products and Biosynthesis (9 papers), Marine Sponges and Natural Products (8 papers) and CRISPR and Genetic Engineering (6 papers). Mingzi M. Zhang is often cited by papers focused on Microbial Natural Products and Biosynthesis (9 papers), Marine Sponges and Natural Products (8 papers) and CRISPR and Genetic Engineering (6 papers). Mingzi M. Zhang collaborates with scholars based in United States, Taiwan and Singapore. Mingzi M. Zhang's co-authors include Howard C. Hang, Huimin Zhao, Ee Lui Ang, Guillaume Charron, Anuradha S. Raghavan, Jacob S. Yount, Yajie Wang, John P. Wilson, Eliah R. Shamir and Shuobo Shi and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Mingzi M. Zhang

35 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mingzi M. Zhang United States 17 1.2k 403 272 224 185 37 1.7k
Robert Thaï France 25 1.1k 1.0× 391 1.0× 220 0.8× 107 0.5× 127 0.7× 58 1.7k
Peter Licari United States 21 1.2k 1.0× 480 1.2× 188 0.7× 204 0.9× 45 0.2× 44 1.6k
Jacques Prudhomme United States 27 916 0.8× 177 0.4× 183 0.7× 225 1.0× 113 0.6× 52 2.0k
Ziyang Zhong United States 21 979 0.8× 135 0.3× 449 1.7× 118 0.5× 110 0.6× 43 1.6k
Michizane Hashimoto Japan 18 634 0.5× 346 0.9× 251 0.9× 116 0.5× 91 0.5× 41 1.1k
Renée L. Brost Canada 13 1.8k 1.5× 359 0.9× 71 0.3× 108 0.5× 126 0.7× 16 2.3k
Nuria de Pedro Spain 19 571 0.5× 294 0.7× 128 0.5× 143 0.6× 87 0.5× 41 1.1k
Heather K. Lamb United Kingdom 26 1.1k 0.9× 180 0.4× 112 0.4× 115 0.5× 89 0.5× 62 1.5k
Dominic Hoepfner Switzerland 21 1.5k 1.2× 172 0.4× 122 0.4× 69 0.3× 105 0.6× 43 1.9k
Darcie J. Miller United States 23 1.6k 1.3× 112 0.3× 113 0.4× 87 0.4× 98 0.5× 48 2.0k

Countries citing papers authored by Mingzi M. Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Mingzi M. Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mingzi M. Zhang. 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 Mingzi M. Zhang. The network helps show where Mingzi M. Zhang may publish in the future.

Co-authorship network of co-authors of Mingzi M. Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Mingzi M. Zhang. A scholar is included among the top collaborators of Mingzi M. Zhang 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 Mingzi M. Zhang. Mingzi M. Zhang 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.
Chou, Yuyu, Mingzi M. Zhang, Chun‐Sung Sung, et al.. (2025). Marine-derived STING inhibitors, excavatolide B promote wound repair in full-thickness-incision rats. International Immunopharmacology. 155. 114593–114593.
2.
Hsu, Cheng‐Chih, et al.. (2025). Highly efficient CRISPR-Cas9 base editing in Bifidobacterium with bypass of restriction modification systems. Applied and Environmental Microbiology. 91(4). e0198524–e0198524. 5 indexed citations
3.
Chien, Su‐Ying, et al.. (2024). Chlorine-containing polyacetoxybriarane diterpenoids from the octocoral Junceella fragilis. RSC Advances. 14(24). 17195–17201. 2 indexed citations
4.
Zhang, Mingzi M., et al.. (2023). 16-Hydroxybriaranes from the octocoral Briareum stechei. Phytochemistry Letters. 57. 92–95. 2 indexed citations
5.
Tseng, Jen‐Chih, Jingxing Yang, Chia‐Yin Lee, et al.. (2023). Induction of Immune Responses and Phosphatidylserine Exposure by TLR9 Activation Results in a Cooperative Antitumor Effect with a Phosphatidylserine-targeting Prodrug. International Journal of Biological Sciences. 19(9). 2648–2662. 4 indexed citations
6.
Lo, Chen‐Fu, Jingya Wang, Ya‐Hui Chi, et al.. (2023). Marine diterpenoid targets STING palmitoylation in mammalian cells. Communications Chemistry. 6(1). 153–153. 13 indexed citations
7.
Zhang, Mingzi M., et al.. (2023). Briavioid D, a rare 7β,8β-epoxybriarane from Briareum violaceum. Tetrahedron Letters. 118. 154407–154407. 2 indexed citations
8.
Heng, Elena, et al.. (2022). CRISPR/Cas-Mediated Genome Editing of Streptomyces. Methods in molecular biology. 2479. 207–225. 3 indexed citations
9.
Lee, Gene‐Hsiang, Lun K. Tsou, Mingzi M. Zhang, et al.. (2021). Briarenols W–Z: Chlorine-Containing Polyoxygenated Briaranes from Octocoral Briareum stechei (Kükenthal, 1908). Marine Drugs. 19(2). 77–77. 6 indexed citations
10.
Fang, Mingyu, et al.. (2021). Chemoproteomic profiling reveals cellular targets of nitro-fatty acids. Redox Biology. 46. 102126–102126. 14 indexed citations
11.
Kong, Kiat Whye, Shawn Hoon, Wan Lin Yeo, et al.. (2019). Chemogenomic profiling in yeast reveals antifungal mode-of-action of polyene macrolactam auroramycin. PLoS ONE. 14(6). e0218189–e0218189. 10 indexed citations
12.
Zhang, Mingzi M., Fong Tian Wong, Yajie Wang, et al.. (2017). CRISPR–Cas9 strategy for activation of silent Streptomyces biosynthetic gene clusters. Nature Chemical Biology. 13(6). 607–609. 224 indexed citations
13.
Zhang, Mingzi M., Yuan Qiao, Ee Lui Ang, & Huimin Zhao. (2017). Using natural products for drug discovery: the impact of the genomics era. Expert Opinion on Drug Discovery. 12(5). 475–487. 75 indexed citations
15.
Zhang, Mingzi M., Pei-Yun Jenny Wu, Felice D. Kelly, Paul Nurse, & Howard C. Hang. (2013). Quantitative Control of Protein S-Palmitoylation Regulates Meiotic Entry in Fission Yeast. PLoS Biology. 11(7). e1001597–e1001597. 51 indexed citations
16.
Yount, Jacob S., Mingzi M. Zhang, & Howard C. Hang. (2013). Emerging roles for protein S-palmitoylation in immunity from chemical proteomics. Current Opinion in Chemical Biology. 17(1). 27–33. 31 indexed citations
17.
Ottenhoff, Tom H. M., Ninghan Yang, Mingzi M. Zhang, et al.. (2012). Genome-Wide Expression Profiling Identifies Type 1 Interferon Response Pathways in Active Tuberculosis. PLoS ONE. 7(9). e45839–e45839. 175 indexed citations
18.
Zhang, Xinjun, José G. Abreu, Chika Yokota, et al.. (2012). Tiki1 Is Required for Head Formation via Wnt Cleavage-Oxidation and Inactivation. Cell. 149(7). 1565–1577. 110 indexed citations
19.
Tsou, Lun K., Mingzi M. Zhang, & Howard C. Hang. (2009). Clickable fluorescent dyes for multimodal bioorthogonal imaging. Organic & Biomolecular Chemistry. 7(24). 5055–5055. 15 indexed citations
20.
Zhang, Mingzi M., Michael Poulsen, & Cameron R. Currie. (2007). Symbiont recognition of mutualistic bacteria by Acromyrmex leaf-cutting ants. The ISME Journal. 1(4). 313–320. 41 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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