Qi Chen

5.2k total citations · 1 hit paper
115 papers, 3.2k citations indexed

About

Qi Chen is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Plant Science. According to data from OpenAlex, Qi Chen has authored 115 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Molecular Biology, 39 papers in Pathology and Forensic Medicine and 34 papers in Plant Science. Recurrent topics in Qi Chen's work include Tea Polyphenols and Effects (33 papers), Plant Stress Responses and Tolerance (12 papers) and Plant Gene Expression Analysis (11 papers). Qi Chen is often cited by papers focused on Tea Polyphenols and Effects (33 papers), Plant Stress Responses and Tolerance (12 papers) and Plant Gene Expression Analysis (11 papers). Qi Chen collaborates with scholars based in China, United States and Sweden. Qi Chen's co-authors include Xiaochun Wan, Zhengzhu Zhang, Tiffany Farchione, Jean Kim, Robert Temple, Andrew Potter, Jun Sun, Chaoling Wei, Cheng-Ying Shi and Hua Yang and has published in prestigious journals such as New England Journal of Medicine, Angewandte Chemie International Edition and SHILAP Revista de lepidopterología.

In The Last Decade

Qi Chen

109 papers receiving 3.1k citations

Hit Papers

Mesenchymal stem cell-derived exosomes ameliorate interve... 2019 2026 2021 2023 2019 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qi Chen China 30 1.2k 807 734 495 410 115 3.2k
Michał Bijak Poland 33 1.2k 1.0× 611 0.8× 262 0.4× 361 0.7× 228 0.6× 146 3.7k
Qingli Wu United States 36 1.5k 1.2× 1.1k 1.3× 495 0.7× 381 0.8× 780 1.9× 119 4.5k
Yi Chen China 37 2.3k 1.9× 729 0.9× 982 1.3× 620 1.3× 412 1.0× 151 5.5k
Ghulam Hussain Pakistan 29 1.5k 1.2× 555 0.7× 193 0.3× 445 0.9× 333 0.8× 148 3.6k
Lijia An China 39 1.7k 1.4× 1.3k 1.6× 238 0.3× 267 0.5× 280 0.7× 141 3.9k
Tina T. X. Dong Hong Kong 35 2.0k 1.6× 786 1.0× 212 0.3× 732 1.5× 449 1.1× 110 3.8k
Wenjuan Li China 38 1.6k 1.3× 1.1k 1.3× 181 0.2× 820 1.7× 440 1.1× 169 4.1k
Sérgio Akira Uyemura Brazil 37 1.4k 1.2× 588 0.7× 224 0.3× 255 0.5× 174 0.4× 111 3.7k
Jinping Liu China 36 2.5k 2.0× 855 1.1× 242 0.3× 272 0.5× 180 0.4× 217 4.2k
Chunjie Wu China 33 1.7k 1.4× 703 0.9× 153 0.2× 396 0.8× 352 0.9× 142 4.2k

Countries citing papers authored by Qi Chen

Since Specialization
Citations

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

Fields of papers citing papers by Qi Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qi Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Qi Chen. A scholar is included among the top collaborators of Qi 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 Qi Chen. Qi 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.
Wang, Junjie, Zhiwei Liao, Qi Chen, et al.. (2025). Root-specific expression of CsNPF2.3 is involved in modulating fluoride accumulation in tea plant (Camellia sinensis). Horticulture Research. 12(6). uhaf072–uhaf072. 2 indexed citations
2.
Yang, Qiqi, et al.. (2024). Integrative analysis of the impact of N2/CO2 on gabaron oolong tea aroma. Food Research International. 201. 115606–115606. 1 indexed citations
3.
Wang, Hong, et al.. (2024). Combined multi-omics approach to analyze the flavor characteristics and formation mechanism of gabaron green tea. Food Chemistry. 445. 138620–138620. 8 indexed citations
5.
Wang, Yuqing, Minghui Zhu, Xiaoyan Guo, et al.. (2024). Tea pomace protein-ε-polylysine-anthocyanin composite nanocomplexes: Elucidation of stability, structural properties, and in vitro digestion. LWT. 194. 115822–115822. 9 indexed citations
6.
An, Tingting, Shanshan Shen, Mengxue Chen, et al.. (2023). Changes in the volatile compounds and characteristic aroma during liquid-state fermentation of instant dark tea by Eurotium cristatum. Food Chemistry. 410. 135462–135462. 29 indexed citations
7.
Liu, Linlin, et al.. (2023). γ‐Glutamyl‐transpeptidase CsGGT2 functions as light‐activated theanine hydrolase in tea plant (Camellia sinensis L.). Plant Cell & Environment. 46(5). 1596–1609. 27 indexed citations
8.
Shen, Shanshan, Jixin Zhang, Qi Chen, et al.. (2023). Sensomics-Assisted Characterization of Fungal-Flowery Aroma Components in Fermented Tea Using Eurotium cristatum. Journal of Agricultural and Food Chemistry. 71(48). 18963–18972. 28 indexed citations
9.
Lü, Jing, Mengshuang Li, Xianchen Zhang, et al.. (2023). A hierarchical model of ABA-mediated signal transduction in tea plant revealed by systematic genome mining analysis and interaction validation. Tree Physiology. 43(5). 867–878. 4 indexed citations
10.
Zhang, Zexi, Hongyu Tian, Siyu Chen, et al.. (2023). Soybean-Oil-Modified Petrochemical-Source Polyester Polyurethane Improves the Nutrient Release Performance of Coated Urea. Agronomy. 13(12). 3008–3008. 5 indexed citations
11.
Liu, Linlin, Qi Chen, Zhaoliang Zhang, et al.. (2023). Role of Endophytic Bacteria in the Remobilization of Leaf Nitrogen Mediated by CsEGGT in Tea Plants (Camellia sinensis L.). Journal of Agricultural and Food Chemistry. 71(13). 5208–5218. 5 indexed citations
12.
She, Guangbiao, Shuwei Yu, Zhenguo Li, et al.. (2022). Characterization of CsTSI in the Biosynthesis of Theanine in Tea Plants (Camellia sinensis). Journal of Agricultural and Food Chemistry. 70(3). 826–836. 30 indexed citations
15.
He, Xiaolong, et al.. (2020). Gene Coexpression Network Reveals Insights into the Origin and Evolution of a Theanine-Associated Regulatory Module in Non-Camellia and Camellia Species. Journal of Agricultural and Food Chemistry. 69(1). 615–626. 6 indexed citations
16.
Sun, Jun, Haijing Li, Zhaoliang Zhang, et al.. (2019). Endophytic Bacteria as Contributors to Theanine Production in Camellia sinensis. Journal of Agricultural and Food Chemistry. 67(38). 10685–10693. 38 indexed citations
17.
Mu, Dongdong, Haowen Li, Qi Chen, et al.. (2019). Secretion of Bacillus amyloliquefaciens γ-Glutamyltranspeptidase from Bacillus subtilis and Its Application in Enzymatic Synthesis of l-Theanine. Journal of Agricultural and Food Chemistry. 67(51). 14129–14136. 29 indexed citations
18.
Chen, Qi, Yamin Zhang, Mengshuang Li, et al.. (2018). Comparative Metabolic Responses and Adaptive Strategies of Tea Leaves (Camellia sinensis) to N2 and CO2 Anaerobic Treatment by a Nontargeted Metabolomics Approach. Journal of Agricultural and Food Chemistry. 66(36). 9565–9572. 24 indexed citations
19.
Chen, Qi. (2004). Making Entry Clones Using T Vectors Compatible With The Gateway Cloning. PROGRESS IN BIOCHEMISTRY AND BIOPHYSICS. 1 indexed citations
20.
Chen, Yuanqing, Qi Chen, & Shuqing Wang. (1999). Multivariate statistical analysis for streptomycin fermentation. Chinese journal of biotechnology/Shengwu gongcheng xuebao. 15(3). 368–372.

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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