Kai Chen

16.2k total citations · 8 hit papers
204 papers, 11.3k citations indexed

About

Kai Chen is a scholar working on Organic Chemistry, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Kai Chen has authored 204 papers receiving a total of 11.3k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Organic Chemistry, 53 papers in Molecular Biology and 37 papers in Cellular and Molecular Neuroscience. Recurrent topics in Kai Chen's work include Catalytic C–H Functionalization Methods (42 papers), Cyclopropane Reaction Mechanisms (33 papers) and Neurotransmitter Receptor Influence on Behavior (28 papers). Kai Chen is often cited by papers focused on Catalytic C–H Functionalization Methods (42 papers), Cyclopropane Reaction Mechanisms (33 papers) and Neurotransmitter Receptor Influence on Behavior (28 papers). Kai Chen collaborates with scholars based in United States, China and Italy. Kai Chen's co-authors include Frances H. Arnold, Jean C. Shih, Bing‐Feng Shi, Clarence W. Rowley, S. B. Jennifer Kan, Marco Bortolato, Shuo‐Qing Zhang, Qi Zhang, Jonathan H. Tu and Xiongyi Huang and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Kai Chen

197 papers receiving 11.1k citations

Hit Papers

Aggressive Behavior and Altered Amounts of Brain Serotoni... 1995 2026 2005 2015 1995 2020 2012 2016 2018 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kai Chen United States 55 4.3k 3.2k 1.8k 985 601 204 11.3k
Robert C. Thompson United States 70 1.0k 0.2× 6.1k 1.9× 3.7k 2.1× 1.8k 1.8× 244 0.4× 362 19.7k
Nobuo Kato Japan 57 1.5k 0.3× 6.7k 2.1× 1.9k 1.1× 265 0.3× 356 0.6× 494 13.6k
Takashi Itoh Japan 56 2.8k 0.7× 3.9k 1.2× 752 0.4× 610 0.6× 202 0.3× 581 13.8k
Hai Lin China 45 435 0.1× 3.3k 1.0× 794 0.5× 579 0.6× 196 0.3× 233 9.3k
David J. Adams Australia 71 1.2k 0.3× 11.7k 3.7× 4.3k 2.4× 148 0.2× 280 0.5× 387 17.9k
Harald Schmidt Germany 91 842 0.2× 9.1k 2.8× 3.7k 2.1× 249 0.3× 612 1.0× 372 29.5k
Tuomas P. J. Knowles United Kingdom 88 2.2k 0.5× 19.2k 6.0× 1.8k 1.1× 177 0.2× 4.0k 6.7× 465 32.9k
Susan T. Weintraub United States 48 538 0.1× 4.1k 1.3× 908 0.5× 311 0.3× 522 0.9× 231 9.0k
Michal Harel Israel 51 2.6k 0.6× 5.9k 1.9× 1.4k 0.8× 122 0.1× 158 0.3× 131 15.6k
David M. Doddrell Australia 46 1.6k 0.4× 2.0k 0.6× 234 0.1× 389 0.4× 151 0.3× 235 9.6k

Countries citing papers authored by Kai Chen

Since Specialization
Citations

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

Fields of papers citing papers by Kai Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kai Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Kai Chen. A scholar is included among the top collaborators of Kai Chen 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 Kai Chen. Kai Chen 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.
Ma, Enbo, Kai Chen, Honglue Shi, et al.. (2025). Directed evolution expands CRISPR–Cas12a genome-editing capacity. Nucleic Acids Research. 53(13). 1 indexed citations
2.
Wang, Ting, Kai Chen, Dali Yin, et al.. (2024). Rational design of 2-benzylsulfinyl-benzoxazoles as potent and selective indoleamine 2,3-dioxygenase 1 inhibitors to combat inflammation. Bioorganic Chemistry. 152. 107740–107740. 2 indexed citations
3.
Chen, Kai, et al.. (2024). Engineering self-deliverable ribonucleoproteins for genome editing in the brain. Nature Communications. 15(1). 1727–1727. 24 indexed citations
4.
Wang, Weihan, Kai Chen, George Z. Chen, et al.. (2024). Stereo-NEC: Enhancing Stereo Visual-Inertial SLAM Initialization with Normal Epipolar Constraints. 2691–2697. 5 indexed citations
5.
Chen, Kai & Hang Shi. (2024). Nucleophilic Aromatic Substitution of Halobenzenes and Phenols with Catalysis by Arenophilic π Acids. Accounts of Chemical Research. 57(15). 2194–2206. 19 indexed citations
6.
Chen, Kai, Haiming Xie, & Jun Liu. (2024). Self-healing and mechanically robust poly(thiourea-disulfide) elastomers based on three types of synergistic dynamic bonding. Polymer Chemistry. 15(23). 2370–2376. 8 indexed citations
7.
Chen, Kai, Katarzyna M. Soczek, Erin Doherty, et al.. (2024). Rapid DNA unwinding accelerates genome editing by engineered CRISPR-Cas9. Cell. 187(13). 3249–3261.e14. 29 indexed citations
8.
Calvó‐Tusell, Carla, Zhen Liu, Kai Chen, Frances H. Arnold, & Marc Garcia‐Borràs. (2023). Reversing the Enantioselectivity of Enzymatic Carbene N−H Insertion Through Mechanism‐Guided Protein Engineering**. Angewandte Chemie International Edition. 62(35). e202303879–e202303879. 21 indexed citations
9.
Ma, Enbo, Kai Chen, Honglue Shi, et al.. (2022). Improved genome editing by an engineered CRISPR-Cas12a. Nucleic Acids Research. 50(22). 12689–12701. 66 indexed citations
10.
Liu, Zhen, et al.. (2021). Dual-function enzyme catalysis for enantioselective carbon–nitrogen bond formation. Nature Chemistry. 13(12). 1166–1172. 74 indexed citations
11.
Chen, Kai & Frances H. Arnold. (2020). Engineering new catalytic activities in enzymes. Nature Catalysis. 3(3). 203–213. 623 indexed citations breakdown →
12.
Chen, Kai & Frances H. Arnold. (2020). Engineering Cytochrome P450s for Enantioselective Cyclopropenation of Internal Alkynes. Journal of the American Chemical Society. 142(15). 6891–6895. 74 indexed citations
13.
Chen, Kai, Xiongyi Huang, Shuo‐Qing Zhang, et al.. (2019). Engineered Cytochrome c-Catalyzed Lactone-Carbene B–H Insertion. Synlett. 30(4). 378–382. 22 indexed citations
14.
Brandenberg, Oliver F., Kai Chen, & Frances H. Arnold. (2019). Directed Evolution of a Cytochrome P450 Carbene Transferase for Selective Functionalization of Cyclic Compounds. Journal of the American Chemical Society. 141(22). 8989–8995. 103 indexed citations
15.
Chen, Kai, Shuo‐Qing Zhang, Oliver F. Brandenberg, Xin Hong, & Frances H. Arnold. (2018). Alternate Heme Ligation Steers Activity and Selectivity in Engineered Cytochrome P450-Catalyzed Carbene-Transfer Reactions. Journal of the American Chemical Society. 140(48). 16402–16407. 114 indexed citations
16.
Knight, Anders M., S. B. Jennifer Kan, Russell D. Lewis, et al.. (2018). Diverse Engineered Heme Proteins Enable Stereodivergent Cyclopropanation of Unactivated Alkenes. ACS Central Science. 4(3). 372–377. 117 indexed citations
17.
Chen, Kai, et al.. (2017). Dynamic mode decomposition for estimating vortices and lee waves in a stratified wake. Experiments in Fluids. 58(5). 8 indexed citations
18.
Chen, Kai, et al.. (2017). Palladium-catalyzed interannular meta-C–H arylation. Chemical Communications. 53(13). 2166–2169. 37 indexed citations
19.
Chen, Kai, et al.. (2017). Local flow characterization using bioinspired sensory information. Journal of Fluid Mechanics. 818. 366–381. 11 indexed citations
20.
Kan, S. B. Jennifer, Russell D. Lewis, Kai Chen, & Frances H. Arnold. (2016). Directed evolution of cytochrome c for carbon–silicon bond formation: Bringing silicon to life. Science. 354(6315). 1048–1051. 447 indexed citations breakdown →

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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