Qi Shen

668 total citations · 1 hit paper
44 papers, 489 citations indexed

About

Qi Shen is a scholar working on Molecular Biology, Immunology and Cancer Research. According to data from OpenAlex, Qi Shen has authored 44 papers receiving a total of 489 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 7 papers in Immunology and 7 papers in Cancer Research. Recurrent topics in Qi Shen's work include RNA Interference and Gene Delivery (8 papers), Advanced biosensing and bioanalysis techniques (4 papers) and Acute Lymphoblastic Leukemia research (4 papers). Qi Shen is often cited by papers focused on RNA Interference and Gene Delivery (8 papers), Advanced biosensing and bioanalysis techniques (4 papers) and Acute Lymphoblastic Leukemia research (4 papers). Qi Shen collaborates with scholars based in China, United States and Germany. Qi Shen's co-authors include Lifeng Feng, Hanying Wang, Hongchuan Jin, Lixian Yang, Yangqiu Li, Shaohua Chen, Lijian Yang, Christian A. Schmidt, Piotr Grabarczyk and Grzegorz K. Przybylski and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and Scientific Reports.

In The Last Decade

Qi Shen

38 papers receiving 486 citations

Hit Papers

A Smart MMP‐9‐responsive Hydrogel Releasing M2 Macrophage... 2025 2026 2025 5 10 15 20 25
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A Smart MMP‐9‐responsive Hydrogel Releasing M2 Macrophage‐derived Exosomes for Diabetic Wound Healing
    2025 29 citations Qi Shen et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qi Shen China 13 225 151 94 76 70 44 489
Chengcheng He China 15 393 1.7× 194 1.3× 108 1.1× 34 0.4× 106 1.5× 43 727
Kun Zhou China 13 459 2.0× 159 1.1× 81 0.9× 37 0.5× 70 1.0× 27 666
Fang Yuan China 14 122 0.5× 81 0.5× 174 1.9× 73 1.0× 58 0.8× 41 494
Dingqing Feng China 14 269 1.2× 101 0.7× 94 1.0× 54 0.7× 104 1.5× 37 484
Paulina Gronesova Slovakia 15 258 1.1× 149 1.0× 70 0.7× 67 0.9× 199 2.8× 38 601
Jianping Jin United States 8 517 2.3× 68 0.5× 96 1.0× 30 0.4× 51 0.7× 9 703
Xiaojun Chen China 13 233 1.0× 78 0.5× 136 1.4× 55 0.7× 130 1.9× 46 596
Gong Jianping China 7 190 0.8× 108 0.7× 104 1.1× 37 0.5× 57 0.8× 16 402

Countries citing papers authored by Qi Shen

Since Specialization
Citations

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

Fields of papers citing papers by Qi Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qi Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Qi Shen. A scholar is included among the top collaborators of Qi Shen 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 Shen. Qi Shen 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.
Tian, Yiwei, et al.. (2025). Biomimetic mineralized mesenchymal stem cell-derived exosomes for dual modulation of ferroptosis and lactic acid-driven inflammation in acute liver injury therapy. Journal of Colloid and Interface Science. 687. 489–506. 4 indexed citations
2.
Shen, Qi, Lu Hu, Lei Li, et al.. (2025). Combined Analysis of BSA-Seq and RNA-Seq Reveals Candidate Genes for qGS1 Related to Sorghum Grain Size. Plants. 14(12). 1791–1791.
3.
Shen, Qi, et al.. (2025). Association Analysis and Identification of Candidate Genes for Sorghum Coleoptile Color. Agronomy. 15(3). 688–688. 1 indexed citations
4.
Shen, Qi, Xi Zhu, Y. Lin, et al.. (2025). A hollow nanozyme-based multifunctional platform enhances sonodynamic–chemodynamic-induced ferroptosis for cancer therapy. RSC Advances. 15(12). 9408–9419. 4 indexed citations
5.
Ma, Mingwei, Kaiwei Yang, Xianshu Gao, et al.. (2025). Enhancing outcomes in metastatic renal cell carcinoma: Integrating precision radiotherapy with targeted therapy and anti-PD-1 immunotherapy. Urologic Oncology Seminars and Original Investigations. 43(7). 443.e11–443.e19.
6.
Shen, Qi, Jianjun Ding, Xiaodong Yang, et al.. (2024). Au NPs modified Ni-B nanosheets/graphene oxide three-dimensional network as label-free electrochemical immunosensor for the detection of diethylstilbestrol. Bioelectrochemistry. 160. 108778–108778. 3 indexed citations
7.
Shen, Qi, et al.. (2024). Sandwich-type electrochemical immunosensor based on Au NPs/3D hierarchical porous carbon network and Au NPs/Cu9S8 nanocages for the detection of alpha-fetoprotein. Colloids and Surfaces B Biointerfaces. 248. 114471–114471. 2 indexed citations
8.
Li, Mingkai, et al.. (2024). Crucial amino acids identified in Δ12 fatty acid desaturases related to linoleic acid production in Perilla frutescens. Frontiers in Plant Science. 15. 1464388–1464388.
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Qi, Ruilian, Fengting Lv, Yue Zeng, et al.. (2023). Photoactive conjugated polymer-based strategy to effectively inactivate RNA viruses. NPG Asia Materials. 15(1). 4 indexed citations
13.
Wu, Duan, et al.. (2022). Integrated metabolomic and transcriptomic analyses reveal molecular response of anthocyanins biosynthesis in perilla to light intensity. Frontiers in Plant Science. 13. 976449–976449. 13 indexed citations
14.
Zhang, Yuping, Xiaolei Wei, Zhi Yu, et al.. (2020). CD8+GITR+ T cells may negatively regulate T cell overactivation in aplastic anemia. Immunological Investigations. 50(4). 406–415. 6 indexed citations
15.
Liu, Lijie, Shumin Chen, Qi Shen, et al.. (2020). The Response of COL and FT Homologues to Photoperiodic Regulation in Carrot (Daucus carota L.). Scientific Reports. 10(1). 9984–9984. 12 indexed citations
16.
Jin, Wenwen, Wei Fang, Lin Wang, et al.. (2019). miR-145 expression level in tissue predicts prognosis of patients with esophageal squamous cell carcinoma. Pathology - Research and Practice. 215(6). 152401–152401. 17 indexed citations
17.
Sun, Mao, Xiaonan Zhang, Dan Wu, Qi Shen, & Yuanming Wu. (2014). Population genetic data of 15 STR loci in Gansu Han population from China. International Journal of Legal Medicine. 129(4). 735–736. 3 indexed citations
18.
Chen, Yu, Sichu Liu, Qi Shen, et al.. (2013). Differential Gene Expression Profiles of PPP2R5C -siRNA-Treated Malignant T Cells. DNA and Cell Biology. 32(10). 573–581. 14 indexed citations
19.
Shen, Qi, Hongye Li, Yan Li, et al.. (2012). Molecular identification of green algae from the rafts based infrastructure of Porphyra yezoensis. Marine Pollution Bulletin. 64(10). 2077–2082. 28 indexed citations
20.
Chen, Shaohua, Qi Shen, Lijian Yang, et al.. (2010). Analysis of the expression pattern of the BCL11B gene and its relatives in patients with T-cell acute lymphoblastic leukemia. Journal of Hematology & Oncology. 3(1). 44–44. 29 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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