Shaojun Pan

1.9k total citations
30 papers, 1.1k citations indexed

About

Shaojun Pan is a scholar working on Molecular Biology, Biomedical Engineering and Materials Chemistry. According to data from OpenAlex, Shaojun Pan has authored 30 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 8 papers in Biomedical Engineering and 6 papers in Materials Chemistry. Recurrent topics in Shaojun Pan's work include Nanoplatforms for cancer theranostics (8 papers), Extracellular vesicles in disease (6 papers) and Genomics and Phylogenetic Studies (5 papers). Shaojun Pan is often cited by papers focused on Nanoplatforms for cancer theranostics (8 papers), Extracellular vesicles in disease (6 papers) and Genomics and Phylogenetic Studies (5 papers). Shaojun Pan collaborates with scholars based in China, Spain and United Kingdom. Shaojun Pan's co-authors include Xing‐Ming Zhao, Luís Pedro Coelho, Daxiang Cui, Amin Zhang, Lirui Wang, Lijun Ma, Yuhui Zhang, Chunlei Zhang, Chengkai Zhu and Mark Huang and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Nano Letters.

In The Last Decade

Shaojun Pan

28 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shaojun Pan China 19 613 399 195 145 134 30 1.1k
Rahim Nosrati Iran 22 1.0k 1.6× 512 1.3× 152 0.8× 105 0.7× 164 1.2× 40 1.6k
Katawut Namdee Thailand 18 375 0.6× 263 0.7× 100 0.5× 310 2.1× 86 0.6× 43 1.1k
Ji‐Hyun Yeom South Korea 21 780 1.3× 116 0.3× 112 0.6× 77 0.5× 115 0.9× 58 1.2k
Biao Chen China 18 612 1.0× 478 1.2× 190 1.0× 79 0.5× 89 0.7× 51 1.5k
Yuqi Guo China 24 589 1.0× 156 0.4× 130 0.7× 85 0.6× 181 1.4× 51 1.2k
Ting Tong China 17 371 0.6× 206 0.5× 306 1.6× 37 0.3× 88 0.7× 53 1.1k
Zhidong Zhou United States 13 356 0.6× 568 1.4× 123 0.6× 189 1.3× 33 0.2× 23 1.0k
Yuqi Liang China 15 660 1.1× 347 0.9× 173 0.9× 72 0.5× 203 1.5× 57 1.4k
Regine Süss Germany 17 524 0.9× 282 0.7× 64 0.3× 398 2.7× 63 0.5× 50 1.1k
Jie Liang China 13 512 0.8× 401 1.0× 97 0.5× 116 0.8× 72 0.5× 19 1.1k

Countries citing papers authored by Shaojun Pan

Since Specialization
Citations

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

Fields of papers citing papers by Shaojun Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaojun Pan

This figure shows the co-authorship network connecting the top 25 collaborators of Shaojun Pan. A scholar is included among the top collaborators of Shaojun Pan 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 Shaojun Pan. Shaojun Pan 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.
Gao, Man, Emmanuel Aguilar, Laura Medina‐Puche, et al.. (2025). A plant virus causes symptoms through the deployment of a host-mimicking protein domain to attract the insect vector. Molecular Plant. 18(6). 1029–1046.
2.
Zhang, Jie, et al.. (2025). Service life prediction of reinforced concrete marine structures under coupled chloride-induced corrosion and freeze-thaw cycles. Construction and Building Materials. 492. 143053–143053. 3 indexed citations
3.
Pan, Shaojun, Xing‐Ming Zhao, & Luís Pedro Coelho. (2023). SemiBin2: self-supervised contrastive learning leads to better MAGs for short- and long-read sequencing. Bioinformatics. 39(Supplement_1). i21–i29. 68 indexed citations
4.
Lai, Senying, Shaojun Pan, Chuqing Sun, et al.. (2022). metaMIC: reference-free misassembly identification and correction of de novo metagenomic assemblies. Genome biology. 23(1). 242–242. 22 indexed citations
5.
Pan, Shaojun, Chengkai Zhu, Xing‐Ming Zhao, & Luís Pedro Coelho. (2022). A deep siamese neural network improves metagenome-assembled genomes in microbiome datasets across different environments. Nature Communications. 13(1). 2326–2326. 92 indexed citations
6.
Wu, Mengshi, Huang Tan, Shaojun Pan, et al.. (2021). Plant DNA polymerases α and δ mediate replication of geminiviruses. Nature Communications. 12(1). 2780–2780. 37 indexed citations
8.
Wang, Lirui, Chunlei Zhang, Yuping Hong, et al.. (2020). Integrating Epigenetic Modulators in Nanofibers for Synergistic Gastric Cancer Therapy via Epigenetic Reprogramming. Nano Letters. 21(1). 298–307. 19 indexed citations
9.
Júnior, Célio Dias Santos, Shaojun Pan, Xing‐Ming Zhao, & Luís Pedro Coelho. (2020). Macrel: antimicrobial peptide screening in genomes and metagenomes. PeerJ. 8. e10555–e10555. 70 indexed citations
10.
Liu, Bin, Guanglei Qiao, Gabriel Alfranca, et al.. (2020). Targeted theranostics of lung cancer: PD-L1-guided delivery of gold nanoprisms with chlorin e6 for enhanced imaging and photothermal/photodynamic therapy. Acta Biomaterialia. 117. 361–373. 47 indexed citations
11.
Zhang, Amin, Qian Zhang, Gabriel Alfranca, et al.. (2020). GSH-triggered sequential catalysis for tumor imaging and eradication based on star-like Au/Pt enzyme carrier system. Nano Research. 13(1). 160–172. 42 indexed citations
12.
Liu, Bin, Wen Cao, Guanglei Qiao, et al.. (2019). Effects of gold nanoprism-assisted human PD-L1 siRNA on both gene down-regulation and photothermal therapy on lung cancer. Acta Biomaterialia. 99. 307–319. 75 indexed citations
13.
Wang, Lirui, Chunlei Zhang, Tianliang Li, et al.. (2019). A modular approach for cytosolic protein delivery: metal ion-induced self-assembly of gold nanoclusters as a general platform. Nanoscale. 11(46). 22237–22242. 17 indexed citations
14.
Zhang, Amin, et al.. (2019). Electrochemical Biosensor Based on Dewdrop-Like Platinum Nanoparticles-Decorated Silver Nanoflowers Nanocomposites for H2O2 and Glucose Detection. Journal of The Electrochemical Society. 166(13). B1138–B1145. 25 indexed citations
15.
Liu, Bin, Wen Cao, Cheng Jin, et al.. (2019). Human natural killer cells for targeting delivery of gold nanostars and bimodal imaging directed photothermal/photodynamic therapy and immunotherapy. Cancer Biology and Medicine. 16(4). 756–770. 38 indexed citations
17.
Zhang, Yuhui, Qian Zhang, Amin Zhang, et al.. (2019). Multifunctional co-loaded magnetic nanocapsules for enhancing targeted MR imaging and in vivo photodynamic therapy. Nanomedicine Nanotechnology Biology and Medicine. 21. 102047–102047. 14 indexed citations
18.
Zhang, Amin, Shaojun Pan, Yuhui Zhang, et al.. (2019). Carbon-gold hybrid nanoprobes for real-time imaging, photothermal/photodynamic and nanozyme oxidative therapy. Theranostics. 9(12). 3443–3458. 120 indexed citations
19.
Hu, Zhongli, Feng Zhang, Baojun Huang, & Shaojun Pan. (2018). [Expression of CD19 and CD56 in AML Patients with RUNX1-RUNX1T1 Mutation and Its Clinical Significance].. PubMed. 26(3). 727–732. 1 indexed citations
20.
Ma, Fang, et al.. (2015). Platelet-derived microvesicles are involved in cardio-protective effects of remote preconditioning.. PubMed. 8(9). 10832–9. 33 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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