Qiansi Chen

1.3k total citations
66 papers, 911 citations indexed

About

Qiansi Chen is a scholar working on Molecular Biology, Plant Science and Biomedical Engineering. According to data from OpenAlex, Qiansi Chen has authored 66 papers receiving a total of 911 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 31 papers in Plant Science and 7 papers in Biomedical Engineering. Recurrent topics in Qiansi Chen's work include Plant-Microbe Interactions and Immunity (11 papers), Plant Molecular Biology Research (11 papers) and Plant Stress Responses and Tolerance (10 papers). Qiansi Chen is often cited by papers focused on Plant-Microbe Interactions and Immunity (11 papers), Plant Molecular Biology Research (11 papers) and Plant Stress Responses and Tolerance (10 papers). Qiansi Chen collaborates with scholars based in China, United States and Yemen. Qiansi Chen's co-authors include Qingxia Zheng, Pingping Liu, Huina Zhou, Niu Zhai, Jingjing Jin, Pingping Liu, Zefeng Li, Yalong Xu, Jianfeng Zhang and Peijian Cao and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Analytical Chemistry.

In The Last Decade

Qiansi Chen

60 papers receiving 903 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qiansi Chen China 19 506 470 97 72 66 66 911
Bangxing Han China 17 378 0.7× 285 0.6× 83 0.9× 24 0.3× 16 0.2× 58 715
Suhua Wang China 16 283 0.6× 475 1.0× 88 0.9× 92 1.3× 40 0.6× 34 812
Praveen Kumar Mehta India 12 623 1.2× 164 0.3× 218 2.2× 11 0.2× 45 0.7× 29 977
Jun‐Jie Tan China 14 294 0.6× 153 0.3× 30 0.3× 22 0.3× 39 0.6× 65 558
Yahui Li China 15 217 0.4× 356 0.8× 131 1.4× 41 0.6× 196 3.0× 43 822
Leilei Liu China 16 297 0.6× 270 0.6× 34 0.4× 33 0.5× 36 0.5× 41 659
Pavlína Šobrová Czechia 9 150 0.3× 413 0.9× 43 0.4× 27 0.4× 57 0.9× 14 671
Arslan Ali Pakistan 14 187 0.4× 145 0.3× 47 0.5× 32 0.4× 4 0.1× 74 556
Zhaoshuai Wang United States 13 203 0.4× 290 0.6× 53 0.5× 92 1.3× 18 0.3× 26 664

Countries citing papers authored by Qiansi Chen

Since Specialization
Citations

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

Fields of papers citing papers by Qiansi Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qiansi Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Qiansi Chen. A scholar is included among the top collaborators of Qiansi 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 Qiansi Chen. Qiansi 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.
Sha, Yunfei, et al.. (2025). Bacteria dynamics and its correlation with chemical composition changes in tobacco leaves during flue curing. Applied Microbiology and Biotechnology. 109(1). 205–205.
2.
Huang, Xingyue, Qingxia Zheng, Qiansi Chen, et al.. (2025). Green-synthesized silver nanoparticles as an effective tool for promoting tobacco (Nicotiana tabacum L.) growth and development. Industrial Crops and Products. 239. 122450–122450. 1 indexed citations
4.
Xu, Yalong, Zefeng Li, Zhengzhong Kang, et al.. (2024). A chromosome-level haplotype-resolved genome assembly of oriental tobacco budworm (Helicoverpa assulta). Scientific Data. 11(1). 461–461. 1 indexed citations
5.
Xu, Guoyun, Qingxia Zheng, Jianfeng Zhang, et al.. (2023). Metabolic engineering of a 1,8‐cineole synthase enhances aphid repellence and increases trichome density in transgenic tobacco (Nicotiana tabacum L.). Pest Management Science. 79(9). 3342–3353. 7 indexed citations
6.
Alariqi, Muna, Qiongqiong Wang, Hui Xi, et al.. (2023). Cotton 4‐coumarate‐CoA ligase 3 enhanced plant resistance to Verticillium dahliae by promoting jasmonic acid signaling‐mediated vascular lignification and metabolic flux. The Plant Journal. 115(1). 190–204. 29 indexed citations
7.
Wu, Yuying, Yu Qiu, Qiansi Chen, et al.. (2023). Association between plasma trans fatty acids and chronic periodontitis: Results from a nationally representative cross‐sectional survey. Journal of Periodontology. 94(8). 976–985. 6 indexed citations
8.
Jin, Weiqiu, Yuying Wu, Qiansi Chen, et al.. (2023). Association between polycyclic aromatic hydrocarbons and periodontitis: Results from a large population‐based study. Journal Of Clinical Periodontology. 51(4). 441–451. 9 indexed citations
9.
Tao, Jiemeng, Qiansi Chen, Shanyi Chen, et al.. (2022). Metagenomic insight into the microbial degradation of organic compounds in fermented plant leaves. Environmental Research. 214(Pt 1). 113902–113902. 37 indexed citations
10.
Lü, Peng, Jiemeng Tao, Jingjing Jin, et al.. (2022). Metagenomic insights into the changes in the rhizosphere microbial community caused by the root-knot nematode Meloidogyne incognita in tobacco. Environmental Research. 216(Pt 4). 114848–114848. 16 indexed citations
11.
Jin, Jingjing, Peng Lü, Yalong Xu, et al.. (2021). PCMDB: a curated and comprehensive resource of plant cell markers. Nucleic Acids Research. 50(D1). D1448–D1455. 57 indexed citations
12.
Xu, Guoyun, Weijun Chen, Limei Song, et al.. (2019). FERONIA phosphorylates E3 ubiquitin ligase ATL6 to modulate the stability of 14-3-3 proteins in response to the carbon/nitrogen ratio. Journal of Experimental Botany. 70(21). 6375–6388. 49 indexed citations
13.
Liu, Pingping, et al.. (2018). Determination of terpenoids in fresh tobacco leaves by GC-MS/MS. Tobacco Science & Technology. 1 indexed citations
14.
Liu, Pingping, Xia Chen, Bing Wang, et al.. (2018). Metabolomic workflow and analysis of fresh tobacco leaves based on GC-MS and LC-MS. Tobacco Science & Technology. 3 indexed citations
15.
Han, Lu, Yueming Zhang, Jingjing Song, et al.. (2018). Automatic untargeted metabolic profiling analysis coupled with Chemometrics for improving metabolite identification quality to enhance geographical origin discrimination capability. Journal of Chromatography A. 1541. 12–20. 19 indexed citations
16.
Zhang, Jianfeng, et al.. (2017). Recent advances in tobacco chloroplast genetic engineering. Tobacco Science & Technology. 3 indexed citations
17.
Wang, Baolin, et al.. (2017). Effects of nano-carbon sol on tobacco cell growth under different culture conditions. Tobacco Science & Technology. 1 indexed citations
18.
Fu, Haiyan, Ou Hu, Yueming Zhang, et al.. (2017). Mass-spectra-based peak alignment for automatic nontargeted metabolic profiling analysis for biomarker screening in plant samples. Journal of Chromatography A. 1513. 201–209. 14 indexed citations
19.
Chen, Qiansi, Yajuan Li, Shenghao Xu, et al.. (2016). Highly fluorescent au nanoclusters: Electrostatically induced phase transfer synthesis for Cu2+ sensing. Luminescence. 32(3). 271–276. 6 indexed citations
20.
Chen, Xia, Qiansi Chen, Pingping Liu, et al.. (2014). Determination of Abscisic and Jasmonic Acids in Green Tobacco by UPLC-MS/MS. Tobacco Science & Technology. 1 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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