Yongjun Wu

4.1k total citations · 1 hit paper
206 papers, 3.0k citations indexed

About

Yongjun Wu is a scholar working on Molecular Biology, Organic Chemistry and Biomedical Engineering. According to data from OpenAlex, Yongjun Wu has authored 206 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 103 papers in Molecular Biology, 41 papers in Organic Chemistry and 36 papers in Biomedical Engineering. Recurrent topics in Yongjun Wu's work include Advanced biosensing and bioanalysis techniques (43 papers), Asymmetric Synthesis and Catalysis (25 papers) and Catalytic C–H Functionalization Methods (20 papers). Yongjun Wu is often cited by papers focused on Advanced biosensing and bioanalysis techniques (43 papers), Asymmetric Synthesis and Catalysis (25 papers) and Catalytic C–H Functionalization Methods (20 papers). Yongjun Wu collaborates with scholars based in China, United States and Canada. Yongjun Wu's co-authors include Clement Yaw Effah, Hongchao Guo, Songcheng Yu, Tongwen Sun, Shaohua Liu, Lingbo Qu, Lihua Ding, Lie Liu, Fei Yu and Leiliang He and has published in prestigious journals such as Angewandte Chemie International Edition, Nature Communications and PLoS ONE.

In The Last Decade

Yongjun Wu

194 papers receiving 3.0k citations

Hit Papers

Klebsiella pneumoniae: an increasing threat to public health 2020 2026 2022 2024 2020 100 200 300
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. Klebsiella pneumoniae: an increasing threat to public health
    2020 327 citations Clement Yaw Effah, Shaohua Liu 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
Yongjun Wu China 28 1.4k 785 512 300 258 206 3.0k
Mario Sechi Italy 41 1.5k 1.1× 948 1.2× 604 1.2× 430 1.4× 128 0.5× 96 4.0k
Mi‐Hyun Kim South Korea 34 1.5k 1.1× 799 1.0× 172 0.3× 217 0.7× 150 0.6× 261 4.3k
Neha Garg India 33 980 0.7× 329 0.4× 477 0.9× 498 1.7× 247 1.0× 166 3.2k
Parteek Prasher India 29 801 0.6× 557 0.7× 556 1.1× 363 1.2× 219 0.8× 140 2.8k
Manish Kumar India 32 953 0.7× 425 0.5× 375 0.7× 591 2.0× 62 0.2× 280 4.1k
Paul W. Groundwater United Kingdom 24 1.0k 0.7× 879 1.1× 355 0.7× 242 0.8× 104 0.4× 119 2.6k
Jie Yang China 34 1.1k 0.8× 813 1.0× 225 0.4× 251 0.8× 204 0.8× 170 4.0k
Yu‐Jing Lu China 34 2.9k 2.1× 689 0.9× 328 0.6× 335 1.1× 81 0.3× 143 4.2k
Walhan Alshaer Jordan 29 2.0k 1.4× 226 0.3× 730 1.4× 313 1.0× 340 1.3× 119 3.8k
Wen Liu China 40 3.6k 2.6× 1.2k 1.6× 206 0.4× 249 0.8× 329 1.3× 189 6.0k

Countries citing papers authored by Yongjun Wu

Since Specialization
Citations

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

Fields of papers citing papers by Yongjun Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yongjun Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Yongjun Wu. A scholar is included among the top collaborators of Yongjun Wu 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 Yongjun Wu. Yongjun Wu 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
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Zhou, Zhixin, Wangfeng Bai, Ning Liu, et al.. (2025). Ultrahigh capacitive energy storage of BiFeO3-based ceramics through multi-oriented nanodomain construction. Nature Communications. 16(1). 2075–2075. 22 indexed citations
3.
Geng, Yiqun, et al.. (2024). Multi-resolution consistency semi-supervised active learning framework for histopathology image classification. Expert Systems with Applications. 259. 125266–125266. 2 indexed citations
4.
Zhao, Shiwen, Xue Li, Xue Zheng, et al.. (2024). Effects of different intensities of far-red and green light on the growth and photosynthetic characteristics of melon seedlings. Scientia Horticulturae. 338. 113746–113746. 1 indexed citations
5.
Zhao, Shiwen, et al.. (2024). Functional Analysis of Cucumis melo CmXTH11 in Regulating Drought Stress Tolerance in Arabidopsis thaliana. International Journal of Molecular Sciences. 25(20). 11031–11031. 2 indexed citations
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Yu, Fei, Qiongwen Zhang, Tiantian Ma, et al.. (2024). Bifunctional probe propelling multipath strand displacement amplification tandem CRISPR/Cas12a for ultrasensitive and robust assay of DNA methyltransferase activity. Analytica Chimica Acta. 1337. 343540–343540. 1 indexed citations
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Li, Kuan, Wang Wang, Juan Du, et al.. (2023). Fungicide-inspired precursors of π-allylpalladium intermediates for palladium-catalyzed decarboxylative cycloadditions. Chemical Science. 14(11). 3024–3029. 36 indexed citations
11.
Jian, Ningge, Yuanyuan Dai, Hongli Liu, et al.. (2023). Simple, fast and eco-friendly micro-solid phase extraction based on thiol and ionic liquid bi-functional nanofibers membrane for the determination of sulfonamides in environmental water. Analytica Chimica Acta. 1288. 342163–342163. 11 indexed citations
12.
Wu, Di, et al.. (2023). Fast and sensitive detection of highly toxic thiophenol using β-CD modified nanofibers membrane with promoted fluorescence response. Sensors and Actuators B Chemical. 394. 134431–134431. 8 indexed citations
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Ding, Lihua, Zhenzhong Zhang, Lie Liu, et al.. (2023). Magnetic-nanowaxberry-based microfluidic ExoSIC for affinity and continuous separation of circulating exosomes towards cancer diagnosis. Lab on a Chip. 23(6). 1694–1702. 20 indexed citations
15.
Yang, Sen, Kuan Li, Yi Tang, et al.. (2022). Palladium‐Catalyzed (5+3) Annulation of 4‐Vinyl‐4‐Butyrolactones with C,N‐Cyclic Azomethine Imines: Construction of Eight‐Membered Ring. Advanced Synthesis & Catalysis. 364(22). 3967–3972. 19 indexed citations
16.
Han, Yang, Hongjie Chen, Guorui Zhang, et al.. (2022). Diagnostic value of circulating genetically abnormal cells to support computed tomography for benign and malignant pulmonary nodules. BMC Cancer. 22(1). 382–382. 7 indexed citations
17.
Wang, Hong, et al.. (2017). Construction of lncRNA-At5NC056820 overexpression vector in Arabidopsis thaliana and study on drought resistance of transgenic plants.. Xibei zhiwu xuebao. 37(10). 1904–1909. 4 indexed citations
18.
Wu, Yongjun, et al.. (2011). Imaging features of peripheral primitive neuroectodermal tumors. Zhongguo jiceng yiyao. 18(22). 3031–3032. 2 indexed citations
19.
Wu, Yongjun. (2007). Expression of Activated AKT,Survivin and Bcl-2 in Human Non-Small Cell Lung Cancer. 2 indexed citations
20.
Wu, Yongjun. (2004). Expression of MDM2 protein in lung cancer tissues.

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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