Feng Chen

10.0k total citations · 1 hit paper
147 papers, 6.3k citations indexed

About

Feng Chen is a scholar working on Molecular Biology, Plant Science and Pharmacology. According to data from OpenAlex, Feng Chen has authored 147 papers receiving a total of 6.3k indexed citations (citations by other indexed papers that have themselves been cited), including 111 papers in Molecular Biology, 67 papers in Plant Science and 33 papers in Pharmacology. Recurrent topics in Feng Chen's work include Plant biochemistry and biosynthesis (82 papers), Microbial Natural Products and Biosynthesis (31 papers) and Plant and animal studies (28 papers). Feng Chen is often cited by papers focused on Plant biochemistry and biosynthesis (82 papers), Microbial Natural Products and Biosynthesis (31 papers) and Plant and animal studies (28 papers). Feng Chen collaborates with scholars based in United States, China and Germany. Feng Chen's co-authors include Eran Pichersky, Dorothea Tholl, Jörg Bohlmann, Jonathan Gershenzon, Tobias G. Köllner, John C. D’Auria, Xinlu Chen, Nan Zhao, Joshua S. Yuan and Qidong Jia and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Angewandte Chemie International Edition and PLoS ONE.

In The Last Decade

Feng Chen

139 papers receiving 6.2k citations

Hit Papers

The family of terpene syn... 2011 2026 2016 2021 2011 250 500 750 1000

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Feng Chen 4.2k 2.8k 1.1k 1.1k 968 147 6.3k
Dorothea Tholl 5.0k 1.2× 3.1k 1.1× 1.5k 1.3× 988 0.9× 1.4k 1.5× 55 7.7k
Jörg Degenhardt 3.6k 0.8× 3.5k 1.2× 1.3k 1.2× 856 0.8× 2.5k 2.5× 66 6.7k
Tobias G. Köllner 5.3k 1.3× 4.2k 1.5× 1.9k 1.7× 1.5k 1.4× 3.1k 3.2× 153 9.1k
Hisakazu Yamane 6.0k 1.4× 6.0k 2.2× 807 0.7× 630 0.6× 818 0.8× 303 10.7k
Francel Verstappen 2.4k 0.6× 3.6k 1.3× 1.9k 1.7× 350 0.3× 538 0.6× 65 5.5k
Efraim Lewinsohn 3.1k 0.7× 2.0k 0.7× 693 0.6× 382 0.4× 494 0.5× 66 5.1k
Bettina Tudzynski 4.0k 1.0× 5.7k 2.0× 1.5k 1.3× 3.0k 2.8× 271 0.3× 114 8.6k
Dinesh A. Nagegowda 2.3k 0.5× 1.3k 0.5× 527 0.5× 339 0.3× 472 0.5× 52 3.3k
Birgit Piechulla 2.7k 0.6× 3.6k 1.3× 528 0.5× 600 0.6× 436 0.5× 117 6.2k
Robert C. Schuurink 4.6k 1.1× 6.2k 2.2× 1.9k 1.7× 248 0.2× 3.2k 3.3× 104 9.6k

Countries citing papers authored by Feng Chen

Since Specialization
Citations

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

Fields of papers citing papers by Feng Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Feng Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Feng Chen. A scholar is included among the top collaborators of Feng 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 Feng Chen. Feng 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.
Chen, Feng, Bo Lv, Jiaqi Guo, et al.. (2025). Genome-wide identification and characterization of ALOG domain genes in Rosa. Frontiers in Plant Science. 16. 1690365–1690365.
2.
Chen, Lingling, Rui Gao, Guo Wei, et al.. (2025). Microbial‐type terpene synthases significantly contribute to the terpene profile of glandular trichomes of the fern Dryopteris fragrans (L.). The Plant Journal. 121(6). e70079–e70079.
3.
Hu, Menghong, et al.. (2024). Molecular insights into the physiological impact of low-frequency noise on sea slug Onchidium reevesii: Activation of p53 signaling and oxidative stress response. Journal of Environmental Management. 373. 123481–123481. 1 indexed citations
4.
Chen, Xinlu, et al.. (2024). Pollinator visitation patterns are influenced by floral volatile profiles. Plant Ecology. 225(9). 929–942. 3 indexed citations
5.
Hu, Jing, Ruiqi Wang, Feng Chen, et al.. (2024). Identification, Characterization, Cloning, and Cross-Reactivity of Zan b 2, a Novel Pepper Allergen of 11S Legumin. Journal of Agricultural and Food Chemistry. 72(14). 8189–8199. 1 indexed citations
7.
Zhang, Wanbo, Yifan Jiang, Zhiyong Guan, et al.. (2022). Dynamic regulation of volatile terpenoid production and emission from Chrysanthemum morifolium capitula. Plant Physiology and Biochemistry. 182. 11–21. 14 indexed citations
8.
Chen, Rong, Qidong Jia, Xin Mu, et al.. (2021). Systematic mining of fungal chimeric terpene synthases using an efficient precursor-providing yeast chassis. Proceedings of the National Academy of Sciences. 118(29). 39 indexed citations
9.
Yan, Xingxing, Ying Huang, Hui Song, et al.. (2021). A MYB4-MAN3-Mannose-MNB1 signaling cascade regulates cadmium tolerance in Arabidopsis. PLoS Genetics. 17(6). e1009636–e1009636. 29 indexed citations
10.
Chen, Feng, et al.. (2020). Global identification of genes associated with xylan biosynthesis in cotton fiber. Journal of Cotton Research. 3(1). 9 indexed citations
11.
12.
Yamashita, Yüko, Katsuyuki T. Yamato, Ryuichi Nishihama, et al.. (2020). Fungal-Type Terpene Synthases in Marchantia polymorpha Are Involved in Sesquiterpene Biosynthesis in Oil Body Cells. Plant and Cell Physiology. 62(3). 528–537. 10 indexed citations
13.
Chen, Xinlu, Tobias G. Köllner, Wangdan Xiong, Guo Wei, & Feng Chen. (2019). Emission and biosynthesis of volatile terpenoids from the plasmodial slime mold Physarum polycephalum. Beilstein Journal of Organic Chemistry. 15. 2872–2880. 4 indexed citations
14.
Jia, Qidong, Xinlu Chen, Tobias G. Köllner, et al.. (2019). Terpene Synthase Genes Originated from Bacteria through Horizontal Gene Transfer Contribute to Terpenoid Diversity in Fungi. Scientific Reports. 9(1). 9223–9223. 37 indexed citations
15.
Chen, Hao, Tobias G. Köllner, Guanglin Li, et al.. (2019). Combinatorial Evolution of a Terpene Synthase Gene Cluster Explains Terpene Variations in Oryza. PLANT PHYSIOLOGY. 182(1). 480–492. 38 indexed citations
16.
Wei, Guo, Qidong Jia, Xinlu Chen, et al.. (2018). Terpene Biosynthesis in Red Algae Is Catalyzed by Microbial Type But Not Typical Plant Terpene Synthases. PLANT PHYSIOLOGY. 179(2). 382–390. 42 indexed citations
17.
Chen, Yu‐Lei, Feng Chen, Qian Zhang, et al.. (2018). Purification, Characterization, and Crystal Structure of Parvalbumins, the Major Allergens in Mustelus griseus. Journal of Agricultural and Food Chemistry. 66(30). 8150–8159. 5 indexed citations
18.
Luck, Katrin, Qidong Jia, Meret Huber, et al.. (2017). CYP79 P450 monooxygenases in gymnosperms: CYP79A118 is associated with the formation of taxiphyllin in Taxus baccata. Plant Molecular Biology. 95(1-2). 169–180. 30 indexed citations
19.
Jia, Qidong, Guanglin Li, Tobias G. Köllner, et al.. (2016). Microbial-type terpene synthase genes occur widely in nonseed land plants, but not in seed plants. Proceedings of the National Academy of Sciences. 113(43). 12328–12333. 78 indexed citations
20.
Chen, Feng, John C. D’Auria, Dorothea Tholl, et al.. (2003). An Arabidopsis thaliana gene for methylsalicylate biosynthesis, identified by a biochemical genomics approach, has a role in defense. The Plant Journal. 36(5). 577–588. 257 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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