Wei‐chen Chang

3.8k total citations
91 papers, 2.8k citations indexed

About

Wei‐chen Chang is a scholar working on Inorganic Chemistry, Molecular Biology and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Wei‐chen Chang has authored 91 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Inorganic Chemistry, 51 papers in Molecular Biology and 28 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Wei‐chen Chang's work include Metal-Catalyzed Oxygenation Mechanisms (58 papers), Metalloenzymes and iron-sulfur proteins (25 papers) and Microbial Natural Products and Biosynthesis (13 papers). Wei‐chen Chang is often cited by papers focused on Metal-Catalyzed Oxygenation Mechanisms (58 papers), Metalloenzymes and iron-sulfur proteins (25 papers) and Microbial Natural Products and Biosynthesis (13 papers). Wei‐chen Chang collaborates with scholars based in United States, Taiwan and China. Wei‐chen Chang's co-authors include Hung‐wen Liu, Carsten Krebs, J. Martin Bollinger, Christopher J. Thibodeaux, Yisong Guo, Pinghua Liu, Youli Xiao, Lishan Zhao, Amie K. Boal and Chih‐Wei Kuo and has published in prestigious journals such as Nature, Science and Chemical Reviews.

In The Last Decade

Wei‐chen Chang

86 papers receiving 2.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wei‐chen Chang United States 29 1.5k 1.3k 712 477 391 91 2.8k
Ramesh N. Patel United States 37 4.3k 2.8× 459 0.4× 791 1.1× 339 0.7× 233 0.6× 135 5.0k
Helen S. Toogood United Kingdom 29 2.1k 1.4× 269 0.2× 357 0.5× 199 0.4× 157 0.4× 69 2.7k
Osami Shoji Japan 27 1.1k 0.7× 1.0k 0.8× 545 0.8× 96 0.2× 110 0.3× 96 2.4k
Christoph K. Winkler Austria 26 1.6k 1.0× 327 0.3× 757 1.1× 356 0.7× 148 0.4× 52 2.7k
Robert Kourist Germany 35 2.7k 1.8× 323 0.3× 818 1.1× 514 1.1× 138 0.4× 141 3.6k
Jon D. Stewart United States 41 3.0k 1.9× 332 0.3× 750 1.1× 140 0.3× 169 0.4× 112 3.9k
Aitao Li China 34 2.4k 1.6× 420 0.3× 635 0.9× 83 0.2× 198 0.5× 109 3.4k
Hans Renata United States 31 1.7k 1.1× 546 0.4× 1.6k 2.2× 122 0.3× 544 1.4× 69 3.0k
Ruibo Wu China 28 1.4k 0.9× 148 0.1× 585 0.8× 134 0.3× 353 0.9× 110 2.4k
J. Enrique Oltra Spain 37 640 0.4× 965 0.8× 2.3k 3.3× 255 0.5× 390 1.0× 91 3.7k

Countries citing papers authored by Wei‐chen Chang

Since Specialization
Citations

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

Fields of papers citing papers by Wei‐chen Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wei‐chen Chang. 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 Wei‐chen Chang. The network helps show where Wei‐chen Chang may publish in the future.

Co-authorship network of co-authors of Wei‐chen Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Wei‐chen Chang. A scholar is included among the top collaborators of Wei‐chen Chang 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 Wei‐chen Chang. Wei‐chen Chang 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
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Chang, Wei‐chen, et al.. (2024). A survey of C–C bond formation strategies and mechanism deployed by iron-containing enzymes in natural products. Tetrahedron. 161. 134084–134084. 2 indexed citations
3.
Tang, Yijie, Igor V. Kurnikov, Jikun Li, et al.. (2024). Spectroscopic and computational studies of a bifunctional iron- and 2-oxoglutarate dependent enzyme, AsqJ. Methods in enzymology on CD-ROM/Methods in enzymology. 704. 199–232.
4.
Zhang, Tao, et al.. (2024). New Frontiers in Nonheme Enzymatic Oxyferryl Species. ChemBioChem. 25(22). e202400307–e202400307. 4 indexed citations
5.
Bashiri, Ghader, Esther M. M. Bulloch, Paul G. Young, et al.. (2024). Poly-γ-glutamylation of biomolecules. Nature Communications. 15(1). 1310–1310. 4 indexed citations
6.
Martinie, Ryan J., Richiro Ushimaru, Christopher J. Pollock, et al.. (2024). Optimized Substrate Positioning Enables Switches in the C–H Cleavage Site and Reaction Outcome in the Hydroxylation–Epoxidation Sequence Catalyzed by Hyoscyamine 6β-Hydroxylase. Journal of the American Chemical Society. 146(35). 24271–24287. 8 indexed citations
7.
Li, Xiaojun, et al.. (2023). A Ferric-Superoxide Intermediate Initiates P450-Catalyzed Cyclic Dipeptide Dimerization. Journal of the American Chemical Society. 145(35). 19256–19264. 23 indexed citations
8.
Manley, Olivia M., et al.. (2023). Excision of a Protein-Derived Amine for p-Aminobenzoate Assembly by the Self-Sacrificial Heterobimetallic Protein CADD. Biochemistry. 62(22). 3276–3282. 5 indexed citations
9.
Hu, Sha, Andrew C. Weitz, Ronghai Cheng, et al.. (2023). An S=1 Iron(IV) Intermediate Revealed in a Non‐Heme Iron Enzyme‐Catalyzed Oxidative C−S Bond Formation. Angewandte Chemie International Edition. 62(43). e202309362–e202309362. 12 indexed citations
10.
Hu, Sha, Andrew C. Weitz, Ronghai Cheng, et al.. (2023). An S=1 Iron(IV) Intermediate Revealed in a Non‐Heme Iron Enzyme‐Catalyzed Oxidative C−S Bond Formation. Angewandte Chemie. 135(43). 1 indexed citations
11.
Ushimaru, Richiro, Xiaojun Li, Takahiro Mori, et al.. (2023). Mechanistic Analysis of Stereodivergent Nitroalkane Cyclopropanation Catalyzed by Nonheme Iron Enzymes. Journal of the American Chemical Society. 145(44). 24210–24217. 16 indexed citations
12.
Manley, Olivia M., Allison K. Stewart, Leonard B. Collins, et al.. (2022). Self-sacrificial tyrosine cleavage by an Fe:Mn oxygenase for the biosynthesis of para -aminobenzoate in Chlamydia trachomatis. Proceedings of the National Academy of Sciences. 119(39). e2210908119–e2210908119. 17 indexed citations
13.
Manley, Olivia M., et al.. (2021). BesC Initiates C–C Cleavage through a Substrate-Triggered and Reactive Diferric-Peroxo Intermediate. Journal of the American Chemical Society. 143(50). 21416–21424. 32 indexed citations
14.
Thibodeaux, Christopher J., Wei‐chen Chang, & Hung‐wen Liu. (2019). Unraveling flavoenzyme reaction mechanisms using flavin analogues and linear free energy relationships. Methods in enzymology on CD-ROM/Methods in enzymology. 620. 167–188. 4 indexed citations
15.
Maggiolo, Ailiena O., Christopher J. Pollock, Elizabeth J. Blaesi, et al.. (2018). Structural Basis for Superoxide Activation of Flavobacterium johnsoniae Class I Ribonucleotide Reductase and for Radical Initiation by Its Dimanganese Cofactor. Biochemistry. 57(18). 2679–2693. 34 indexed citations
16.
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Mitchell, Andrew J., Noah P. Dunham, Ryan J. Martinie, et al.. (2017). Visualizing the Reaction Cycle in an Iron(II)- and 2-(Oxo)-glutarate-Dependent Hydroxylase. Journal of the American Chemical Society. 139(39). 13830–13836. 107 indexed citations
18.
Chang, Wei‐chen, Yisong Guo, Chen Wang, et al.. (2014). Mechanism of the C5 Stereoinversion Reaction in the Biosynthesis of Carbapenem Antibiotics. Science. 343(6175). 1140–1144. 99 indexed citations
19.
Wang, Chen, Wei‐chen Chang, Yisong Guo, et al.. (2013). Evidence that the Fosfomycin-Producing Epoxidase, HppE, Is a Non–Heme-Iron Peroxidase. Science. 342(6161). 991–995. 65 indexed citations
20.

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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