Zhongquan Qi

3.1k total citations
189 papers, 2.4k citations indexed

About

Zhongquan Qi is a scholar working on Molecular Biology, Immunology and Surgery. According to data from OpenAlex, Zhongquan Qi has authored 189 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Molecular Biology, 62 papers in Immunology and 57 papers in Surgery. Recurrent topics in Zhongquan Qi's work include Immune Cell Function and Interaction (30 papers), T-cell and B-cell Immunology (30 papers) and Transplantation: Methods and Outcomes (25 papers). Zhongquan Qi is often cited by papers focused on Immune Cell Function and Interaction (30 papers), T-cell and B-cell Immunology (30 papers) and Transplantation: Methods and Outcomes (25 papers). Zhongquan Qi collaborates with scholars based in China, Sweden and United States. Zhongquan Qi's co-authors include Junjie Xia, Henrik Ekberg, Jibing Chen, Henrik Thorlacius, Hailong Wang, Guoliang Yan, Milladur Rahman, Jianyin Zhou, Su Zhang and Yun Liu and has published in prestigious journals such as The Journal of Immunology, PLoS ONE and Biomaterials.

In The Last Decade

Zhongquan Qi

179 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhongquan Qi China 26 894 581 534 265 228 189 2.4k
Zijiang Yang China 27 652 0.7× 302 0.5× 573 1.1× 234 0.9× 93 0.4× 71 2.3k
Yoshitsugu Takabatake Japan 33 1.4k 1.6× 433 0.7× 391 0.7× 276 1.0× 43 0.2× 71 4.1k
Chengshi Wang China 25 1.2k 1.3× 422 0.7× 426 0.8× 290 1.1× 134 0.6× 71 2.4k
Yuanyuan Zhang China 28 927 1.0× 126 0.2× 418 0.8× 249 0.9× 62 0.3× 102 2.4k
Roberto Gramignoli Sweden 32 826 0.9× 1.2k 2.1× 192 0.4× 200 0.8× 233 1.0× 87 2.5k
Yujia Yuan China 29 1.5k 1.6× 321 0.6× 356 0.7× 321 1.2× 148 0.6× 66 3.0k
Rui Ding China 30 1.3k 1.5× 247 0.4× 396 0.7× 256 1.0× 93 0.4× 92 2.5k
Mehryar Habibi Roudkenar Iran 30 1.3k 1.5× 421 0.7× 252 0.5× 473 1.8× 160 0.7× 147 2.9k
Yi Wen China 27 1.3k 1.4× 253 0.4× 439 0.8× 302 1.1× 131 0.6× 69 2.6k

Countries citing papers authored by Zhongquan Qi

Since Specialization
Citations

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

Fields of papers citing papers by Zhongquan Qi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhongquan Qi

This figure shows the co-authorship network connecting the top 25 collaborators of Zhongquan Qi. A scholar is included among the top collaborators of Zhongquan Qi 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 Zhongquan Qi. Zhongquan Qi 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.
Lee, Adrian Y. S., Zhongquan Qi, Katherine Jackson, & Joanne H. Reed. (2025). Self‐reactive B cells are increased in all major stages of peripheral development in Sjögren's disease. Immunology and Cell Biology. 103(4). 401–410.
2.
Xiao, Yu, et al.. (2025). Immunological Safety Evaluation of Exosomes Derived From Human Umbilical Cord Mesenchymal Stem Cells in Mice. Stem Cells International. 2025(1). 9986368–9986368. 2 indexed citations
3.
4.
Yu, Fei, Yuqin Wang, Peng Wu, et al.. (2024). Preparation of curcumin-loaded chitosan/lecithin nanoparticles with increased anti-oxidant activity and in vivo bioavailability. International Journal of Biological Macromolecules. 281(Pt 4). 136659–136659. 9 indexed citations
5.
6.
Zhong, Weimin, Xianyang Luo, Zhicong Hong, et al.. (2024). E3 ubiquitin ligase ITCH-mediated proteasomal degradation of WBP2 sensitizes breast cancer cells to chemotherapy through restraining AMOTL2/c-JUN axis. Biochemical Pharmacology. 232. 116720–116720.
7.
Li, Ruicheng, Wenke Wang, Yifan Yang, et al.. (2024). Acrylamide Exposure Impairs Ovarian Tricarboxylic Acid Cycle and Reduces Oocyte Quality in Mouse. Environmental Toxicology. 39(11). 5074–5085.
8.
Xiao, Yu, et al.. (2024). Non-Clinical Safety Evaluation of Exosomes Derived from Human Umbilical Cord Mesenchymal Stem Cells in Cynomolgus Monkeys. International Journal of Nanomedicine. Volume 19. 4923–4939. 13 indexed citations
9.
Wang, Ying-Kai, Yunpeng Zhao, Mingzhu Ye, et al.. (2023). Chimeric CNS-targeting-peptide engineered exosomes for experimental autoimmune encephalomyelitis therapy. International Immunopharmacology. 124(Pt B). 110835–110835. 5 indexed citations
10.
Xu, Chang-Long, et al.. (2023). Aristolochic acid I exposure triggers ovarian dysfunction by activating NLRP3 inflammasome and affecting mitochondrial homeostasis. Free Radical Biology and Medicine. 204. 313–324. 16 indexed citations
11.
Nie, Han, et al.. (2022). Triptolide exposure induces oxidative stress and decreases oocyte quality in mouse. Toxicon. 221. 106964–106964. 14 indexed citations
12.
Xiao, Yu, et al.. (2021). D(-)-salicin inhibits RANKL-induced osteoclast differentiation and function in vitro. Fitoterapia. 157. 104981–104981. 2 indexed citations
13.
Ma, Yunhan, Helong Dai, Chenxi Wang, et al.. (2020). Optimization of the Cuff Technique for Murine Heart Transplantation. Journal of Visualized Experiments. 10 indexed citations
14.
Lian, Yunsong, Chang Gao, Yuan Wu, et al.. (2017). Suppression of Delayed Xenograft Rejection by Resveratrol in a Hamster-to-Rat Cardiac Transplantation Model. Transplantation Proceedings. 49(6). 1483–1491. 2 indexed citations
15.
He, Shuwen, Yu Liu, Yalong Wang, et al.. (2017). SKAP2 regulates Arp2/3 complex for actin-mediated asymmetric cytokinesis by interacting with WAVE2 in mouse oocytes. Cell Cycle. 16(23). 2272–2281. 8 indexed citations
16.
Li, Chenglin, Yun Leng, Bin Zhao, et al.. (2017). Human iPSC-MSC-Derived Xenografts Modulate Immune Responses by Inhibiting the Cleavage of Caspases. Stem Cells. 35(7). 1719–1732. 38 indexed citations
17.
Dai, Chen, Bo Yang, Chang Gao, et al.. (2016). Recombinant IL-33 prolongs leflunomide-mediated graft survival by reducing IFN-γ and expanding CD4+Foxp3+ T cells in concordant heart transplantation. Laboratory Investigation. 96(8). 820–829. 12 indexed citations
18.
Cheng, Panpan, Pengfei Ma, Chang Gao, et al.. (2015). iPSC-MSCs Combined with Low-Dose Rapamycin Induced Islet Allograft Tolerance Through Suppressing Th1 and Enhancing Regulatory T-Cell Differentiation. Stem Cells and Development. 24(15). 1793–1804. 28 indexed citations
19.
Wang, Libin, Lin Xu, Guoliang Yan, et al.. (2015). Induced Pluripotent Stem Cells Can Effectively Differentiate into Multiple Functional Lymphocyte Lineages In Vivo with Negligible Bias. Stem Cells and Development. 25(6). 462–471. 10 indexed citations
20.
Björkman, Sven, et al.. (1996). Determination of the Steady State Tissue Distribution of Midazolam in the Rat. Journal of Pharmaceutical Sciences. 85(8). 887–889. 25 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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