Yuanjun Zhu

619 total citations · 1 hit paper
27 papers, 520 citations indexed

About

Yuanjun Zhu is a scholar working on Molecular Biology, Rehabilitation and Hematology. According to data from OpenAlex, Yuanjun Zhu has authored 27 papers receiving a total of 520 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Rehabilitation and 5 papers in Hematology. Recurrent topics in Yuanjun Zhu's work include Magnolia and Illicium research (5 papers), Blood Coagulation and Thrombosis Mechanisms (5 papers) and Neuroinflammation and Neurodegeneration Mechanisms (4 papers). Yuanjun Zhu is often cited by papers focused on Magnolia and Illicium research (5 papers), Blood Coagulation and Thrombosis Mechanisms (5 papers) and Neuroinflammation and Neurodegeneration Mechanisms (4 papers). Yuanjun Zhu collaborates with scholars based in China and United States. Yuanjun Zhu's co-authors include Yinye Wang, Xiaoyan Liu, Shizhong Chen, Demin Zhou, Peng Zhang, Xiaoyan Liu, Wenhui Hu, KeWei Wang, Jiancheng Wang and Yi Yan and has published in prestigious journals such as PLoS ONE, Scientific Reports and Brain Research.

In The Last Decade

Yuanjun Zhu

25 papers receiving 518 citations

Hit Papers

Nanomedicines Reprogram Synovial Macrophages by Scavengin... 2023 2026 2024 2025 2023 20 40 60

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuanjun Zhu China 12 177 108 106 63 62 27 520
Mi‐Yeon Kim South Korea 20 486 2.7× 56 0.5× 30 0.3× 42 0.7× 15 0.2× 53 902
Yanfei Han China 13 222 1.3× 33 0.3× 57 0.5× 22 0.3× 7 0.1× 27 673
Qiyong Mei China 14 329 1.9× 15 0.1× 195 1.8× 70 1.1× 17 0.3× 31 701
Shiang Suo Huang Taiwan 8 95 0.5× 51 0.5× 44 0.4× 25 0.4× 21 0.3× 14 357
Yiwen Gao China 12 256 1.4× 13 0.1× 16 0.2× 36 0.6× 67 1.1× 23 510
Manhui Zhu China 19 478 2.7× 12 0.1× 105 1.0× 119 1.9× 15 0.2× 51 992
I‐Tsang Chiang Taiwan 20 485 2.7× 49 0.5× 16 0.2× 38 0.6× 71 1.1× 44 891
Patrizia Sartori Italy 15 333 1.9× 14 0.1× 33 0.3× 73 1.2× 18 0.3× 43 735
Yucui Jiang China 12 314 1.8× 71 0.7× 96 0.9× 41 0.7× 37 0.6× 28 791

Countries citing papers authored by Yuanjun Zhu

Since Specialization
Citations

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

Fields of papers citing papers by Yuanjun Zhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuanjun Zhu

This figure shows the co-authorship network connecting the top 25 collaborators of Yuanjun Zhu. A scholar is included among the top collaborators of Yuanjun Zhu 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 Yuanjun Zhu. Yuanjun Zhu 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
2.
Wu, Fan, Yuanjun Zhu, Jiamin Yang, et al.. (2024). A Machine Learning Method for the Optimization Design of Laser Pulse in Fast Ignition Simulations. Journal of Fusion Energy. 43(1).
3.
Wang, Xiangyu, Yi Yan, Xia Guo, et al.. (2024). Enhanced Tumor Immunotherapy by Triple Amplification Effects of Nanomedicine on the STING Signaling Pathway in Dendritic Cells. Advanced Healthcare Materials. 14(2). e2403143–e2403143. 5 indexed citations
4.
An, Lu, Yuhao Guo, Yi Yan, et al.. (2023). Nanomedicine integrating the lipidic derivative of 5-fluorouracil, miriplatin and PD-L1 siRNA for enhancing tumor therapy. Chinese Chemical Letters. 35(6). 108928–108928. 2 indexed citations
5.
Yan, Yi, Lu An, Yun Dou, et al.. (2023). Nanomedicines Reprogram Synovial Macrophages by Scavenging Nitric Oxide and Silencing CA9 in Progressive Osteoarthritis. Advanced Science. 10(11). e2207490–e2207490. 70 indexed citations breakdown →
6.
Yan, Yi, Lin Zhai, Jing Sun, et al.. (2021). Enhanced cancer therapeutic efficiency of NO combined with siRNA by caspase-3 responsive polymers. Journal of Controlled Release. 339. 506–520. 14 indexed citations
7.
Zhu, Yuanjun, Lin Zhai, Yi Yan, et al.. (2021). Engineering a “three-in-one” hirudin prodrug to reduce bleeding risk: A proof-of-concept study. Journal of Controlled Release. 338. 462–471. 4 indexed citations
8.
Zhang, Haitao, Ru Wang, Yi Yan, et al.. (2020). Improving long circulation and procoagulant platelet targeting by engineering of hirudin prodrug. International Journal of Pharmaceutics. 589. 119869–119869. 10 indexed citations
9.
Liu, Xiaoyan, Xiaoling Chen, Yuanjun Zhu, KeWei Wang, & Yinye Wang. (2017). Effect of magnolol on cerebral injury and blood brain barrier dysfunction induced by ischemia-reperfusion in vivo and in vitro. Metabolic Brain Disease. 32(4). 1109–1118. 35 indexed citations
10.
Zhu, Yuanjun, et al.. (2017). Increased autophagic degradation contributes to the neuroprotection of hydrogen sulfide against cerebral ischemia/reperfusion injury. Metabolic Brain Disease. 32(5). 1449–1458. 26 indexed citations
11.
Zhu, Yuanjun, Tongliang Zhou, Lingfei Yang, et al.. (2017). Revelation of the dynamic progression of hypoxia-reoxygenation injury by visualization of the lysosomal hydrogen peroxide. Biochemical and Biophysical Research Communications. 486(4). 904–908. 12 indexed citations
12.
Yang, Lingfei, Yuanjun Zhu, Tongliang Zhou, et al.. (2016). Rational Design of Fluorescent Phthalazinone Derivatives for One‐ and Two‐Photon Imaging. Chemistry - A European Journal. 22(35). 12363–12370. 11 indexed citations
13.
Zhu, Yuanjun, Lin Yuan, Xiaoyan Liu, Wenhui Hu, & Yinye Wang. (2016). Identification of AcAP5 as a novel factor Xa inhibitor with both direct and allosteric inhibition. Biochemical and Biophysical Research Communications. 483(1). 495–501. 3 indexed citations
14.
Zhu, Yuanjun, Aihua Liu, Ruyi Li, et al.. (2015). Structure-guided creation of AcAP5-derived and platelet targeted factor Xa inhibitors. Biochemical Pharmacology. 95(4). 253–262. 6 indexed citations
15.
Li, Chuandong, Xiaoyan Liu, Yuanjun Zhu, Yujing Liu, & Yinye Wang. (2015). Magnolol derivative 002C-3 protects brain against ischemia–reperfusion injury via inhibiting apoptosis and autophagy. Neuroscience Letters. 588. 178–183. 16 indexed citations
16.
Liu, Xiaoyan, et al.. (2014). w007B protects brain against ischemia–reperfusion injury in rats through inhibiting inflammation, apoptosis and autophagy. Brain Research. 1558. 100–108. 35 indexed citations
17.
Zhu, Yuanjun, et al.. (2014). Neuroprotective Effect of TAT-14-3-3ε Fusion Protein against Cerebral Ischemia/Reperfusion Injury in Rats. PLoS ONE. 9(3). e93334–e93334. 40 indexed citations
18.
Zhu, Yuanjun, Aihua Liu, Xiaoyan Liu, & Yinye Wang. (2013). Engineering Novel Anticoagulant Proteins by Motif Grafting. Protein and Peptide Letters. 21(2). 159–163. 1 indexed citations
19.
Hu, Zhenyu, Xiling Bian, Xiaoyan Liu, et al.. (2012). Honokiol protects brain against ischemia–reperfusion injury in rats through disrupting PSD95–nNOS interaction. Brain Research. 1491. 204–212. 49 indexed citations
20.
Zhang, Peng, Xiaoyan Liu, Yuanjun Zhu, et al.. (2012). Honokiol inhibits the inflammatory reaction during cerebral ischemia reperfusion by suppressing NF-κB activation and cytokine production of glial cells. Neuroscience Letters. 534. 123–127. 100 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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