Dong‐Qing Fei

1.0k total citations
69 papers, 827 citations indexed

About

Dong‐Qing Fei is a scholar working on Molecular Biology, Plant Science and Complementary and alternative medicine. According to data from OpenAlex, Dong‐Qing Fei has authored 69 papers receiving a total of 827 indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Molecular Biology, 37 papers in Plant Science and 16 papers in Complementary and alternative medicine. Recurrent topics in Dong‐Qing Fei's work include Phytochemistry and Biological Activities (32 papers), Natural product bioactivities and synthesis (32 papers) and Sesquiterpenes and Asteraceae Studies (15 papers). Dong‐Qing Fei is often cited by papers focused on Phytochemistry and Biological Activities (32 papers), Natural product bioactivities and synthesis (32 papers) and Sesquiterpenes and Asteraceae Studies (15 papers). Dong‐Qing Fei collaborates with scholars based in China and Pakistan. Dong‐Qing Fei's co-authors include Zhan‐Xin Zhang, Feng‐Ming Qi, Kun Gao, Dejuan Zhi, Ying‐Hong Liu, Zhengyu Li, Qiaoling Hu, Chunmei Liu, Zhong‐Jian Jia and Jianjun Chen and has published in prestigious journals such as Journal of Hazardous Materials, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Dong‐Qing Fei

65 papers receiving 814 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dong‐Qing Fei China 17 561 327 145 140 111 69 827
Phạm Hải Yến Vietnam 16 513 0.9× 298 0.9× 78 0.5× 156 1.1× 183 1.6× 138 933
Chunfeng Xie China 23 700 1.2× 552 1.7× 130 0.9× 167 1.2× 169 1.5× 54 1.3k
Phan Minh Giang Vietnam 18 540 1.0× 349 1.1× 98 0.7× 50 0.4× 80 0.7× 77 840
Rie Kakuda Japan 17 526 0.9× 451 1.4× 49 0.3× 89 0.6× 164 1.5× 39 754
Ren‐Bo An China 19 472 0.8× 178 0.5× 61 0.4× 120 0.9× 132 1.2× 43 777
Jaromir Budzianowski Poland 20 610 1.1× 582 1.8× 67 0.5× 175 1.3× 88 0.8× 65 1.1k
Takakazu Shinzato Japan 21 755 1.3× 563 1.7× 92 0.6× 82 0.6× 133 1.2× 75 1.1k
Muhetaer Tuerhong China 21 475 0.8× 481 1.5× 41 0.3× 123 0.9× 123 1.1× 36 924
Yoshimasa Kasahara Japan 17 506 0.9× 461 1.4× 104 0.7× 146 1.0× 167 1.5× 37 1.1k
Agnieszka Pietrosiuk Poland 19 642 1.1× 381 1.2× 39 0.3× 99 0.7× 138 1.2× 73 976

Countries citing papers authored by Dong‐Qing Fei

Since Specialization
Citations

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

Fields of papers citing papers by Dong‐Qing Fei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dong‐Qing Fei. 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 Dong‐Qing Fei. The network helps show where Dong‐Qing Fei may publish in the future.

Co-authorship network of co-authors of Dong‐Qing Fei

This figure shows the co-authorship network connecting the top 25 collaborators of Dong‐Qing Fei. A scholar is included among the top collaborators of Dong‐Qing Fei 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 Dong‐Qing Fei. Dong‐Qing Fei 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.
2.
Liu, Li, et al.. (2024). Two Undescribed Germacrane‐Type Sesquiterpenoids from Salvia cavaleriei var. simplicifolia Stib. and Their Anti‐Alzheimer's Disease Activity. Chemistry & Biodiversity. 21(6). e202400511–e202400511. 2 indexed citations
3.
Chen, Xiaohan, et al.. (2023). Highly oxygenated germacrane-type sesquiterpenoids from the whole plant of Salvia cavaleriei H.Lév. and their biological activities. Phytochemistry. 211. 113686–113686. 5 indexed citations
4.
Liu, Xu, et al.. (2022). Bioactive diterpenoids and sesquiterpenoids with different skeletons from Salvia digitaloides Diels. Phytochemistry. 205. 113501–113501. 7 indexed citations
5.
Chen, Xiaohan, et al.. (2022). Diterpenoids and C13 Nor-Isoprenoid Identified From the Leaves and Twigs of Croton yanhuii Activating Apoptosis and Pyroptosis. Frontiers in Chemistry. 10. 861278–861278. 5 indexed citations
6.
Wang, Meng, et al.. (2022). Antimicrobial diterpenoids from the leaves and twigs of Croton kongensis Gagnepain.. Fitoterapia. 164. 105350–105350. 6 indexed citations
7.
Zhang, Zongping, Xu Liu, Dejuan Zhi, et al.. (2021). Polyoxygenated sesquiterpenoids from Salvia castanea and their potential anti-Alzheime's disease bioactivities. Fitoterapia. 151. 104867–104867. 14 indexed citations
8.
Zhao, Ye, et al.. (2020). Triterpenoids with α-glucosidase inhibitory activities from the roots of Codonopsis pilosula var. modesta. Journal of Chemical Research. 45(5-6). 635–638. 3 indexed citations
9.
Yu, Yifan, Xu Liu, Zongping Zhang, et al.. (2020). Isolation, Characterization, and Possible Anti‐Alzheimer's Disease Activities of Bisabolane‐Type Sesquiterpenoid Derivatives and Phenolics from the Rhizomes of Curcuma longa. Chemistry & Biodiversity. 17(5). e2000067–e2000067. 11 indexed citations
10.
Yu, Yifan, Ying‐Hong Liu, Xiaohan Chen, et al.. (2020). Cadinane-type sesquiterpenes from the resinous exudates of Commiphora myrrha and their anti-Alzheimer's disease bioactivities. Fitoterapia. 142. 104536–104536. 14 indexed citations
11.
Zhang, Zhan‐Xin, et al.. (2019). Chemical Constituents of the Whole Plant of Ajania tenuifolia. Chemistry of Natural Compounds. 55(4). 726–728. 3 indexed citations
12.
Zhi, Dejuan, Dong Wang, Wenqing Yang, et al.. (2017). Dianxianning improved amyloid β-induced pathological characteristics partially through DAF-2/DAF-16 insulin like pathway in transgenic C. elegans. Scientific Reports. 7(1). 11408–11408. 23 indexed citations
13.
Liu, Yan, Dejuan Zhi, Menghui Li, et al.. (2016). Shengmai Formula suppressed over-activated Ras/MAPK pathway in C. elegans by opening mitochondrial permeability transition pore via regulating cyclophilin D. Scientific Reports. 6(1). 38934–38934. 11 indexed citations
14.
Zhang, Weimin, Dejuan Zhi, Hui Ren, et al.. (2016). Shengmai Formula Ameliorates Pathological Characteristics in AD C. elegans. Cellular and Molecular Neurobiology. 36(8). 1291–1302. 12 indexed citations
15.
Zhang, Zhan‐Xin, et al.. (2015). A Novel Norclerodane Diterpenoid from the Roots of Croton crassifolius. Natural Product Communications. 10(11). 1917–8. 3 indexed citations
16.
Han, Chao, Senbiao Fang, Huiming Cao, et al.. (2013). Molecular interaction of PCB153 to human serum albumin: Insights from spectroscopic and molecular modeling studies. Journal of Hazardous Materials. 248-249. 313–321. 35 indexed citations
17.
Li, Xin, et al.. (2012). Evaluation of the sedative and hypnotic effects of Eucommiol in Eucommia. Natural Product Research. 27(18). 1657–1659. 10 indexed citations
18.
Li, Wenxian, Ming Lei, Dong‐Qing Fei, & Kun Gao. (2009). Eremophilane-Type Sesquiterpene Derivatives fromLigularia hodgsonii. Planta Medica. 75(6). 635–640. 12 indexed citations
19.
Fei, Dong‐Qing, Zhan‐Xin Zhang, Jianjun Chen, & Kun Gao. (2007). Eremophilane-Type Sesquiterpenes from Senecio nemorensis. Planta Medica. 73(12). 1292–1297. 19 indexed citations
20.
Fei, Dong‐Qing, et al.. (2006). Two new eremophilenolides fromLigularia lapathifolia. Journal of Asian Natural Products Research. 8(1-2). 99–103. 7 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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