Shaojun Pan
Impact in
- Biomaterials top 10%
- Nanoparticle-Based Drug Delivery
- Microbiology top 10%
Papers in
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- Extracellular vesicles in disease 6
- Genomics and Phylogenetic Studies 4
- RNA Interference and Gene Delivery 4
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- Nanoplatforms for cancer theranostics 8
- Co-authors
- Xing‐Ming Zhao (7 shared papers)Luis Pedro Coelho (5 shared papers)Daxiang Cui (14 shared papers)Amin Zhang (7 shared papers)Lirui Wang (9 shared papers)Lijun Ma (7 shared papers)Yuhui Zhang (3 shared papers)Chunlei Zhang (5 shared papers)
- Journals
- Nature Communications (2 papers)Nucleic Acids Research (2 papers)Acta Biomaterialia (2 papers)Biomaterials (2 papers)PeerJ (1 paper)
- Partner nations
- ChinaSpainUnited Kingdom
In The Last Decade
Shaojun Pan
29 papers receiving 1.2k citations
Shaojun Pan's Hit Papers
Peers
Comparison fields: 5 of 115
- Biomaterials 144
- Microbiology 58
- Cancer Research 128
- Biomedical Engineering 408
- Molecular Biology 620
Countries citing papers authored by Shaojun Pan
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
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-authors
The 25 scholars most cited alongside Shaojun Pan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 150 | |
| 2 | 2019 | 134 | |
| 3 | 2022 | 103 | |
| 4 | SemiBin2: self-supervised contrastive learning leads to better MAGs for short- and long-read sequencing Hit paper breakdown → | 2023 | 102 |
| 5 | 2021 | 99 | |
| 6 | 2020 | 84 | |
| 7 | 2019 | 79 | |
| 8 | 2020 | 51 | |
| 9 | 2021 | 45 | |
| 10 | 2020 | 43 | |
| 11 | 2020 | 39 | |
| 12 | 2019 | 37 | |
| 13 | Platelet-derived microvesicles are involved in cardio-protective effects of remote preconditioning. | 2015 | 33 |
| 14 | 2020 | 27 | |
| 15 | 2018 | 26 | |
| 16 | 2022 | 25 | |
| 17 | 2020 | 25 | |
| 18 | 2019 | 25 | |
| 19 | 2021 | 21 | |
| 20 | 2019 | 18 |
About Shaojun Pan
Shaojun Pan is a scholar working on Molecular Biology, Biomedical Engineering, Immunology, Materials Chemistry and Biomaterials, having authored 29 papers that have together received 1.2k indexed citations. Recurring topics across this work include Nanoplatforms for cancer theranostics (8 papers), Extracellular vesicles in disease (6 papers), Genomics and Phylogenetic Studies (4 papers), RNA Interference and Gene Delivery (4 papers), Advanced Nanomaterials in Catalysis (3 papers), Nanocluster Synthesis and Applications (3 papers), Plant Virus Research Studies (2 papers) and Immune cells in cancer (2 papers). The work is most often cited by research in Biomaterials (144 citations), Microbiology (58 citations), Cancer Research (128 citations), Biomedical Engineering (408 citations) and Molecular Biology (620 citations). Shaojun Pan has collaborated with scholars based in China, Spain and United Kingdom. Frequent co-authors include Xing‐Ming Zhao, Luis Pedro Coelho, Daxiang Cui, Amin Zhang, Lirui Wang, Lijun Ma, Yuhui Zhang, Chunlei Zhang, Chengkai Zhu and Mark L. Huang. Their work appears in journals such as Nature Communications, Nucleic Acids Research, Acta Biomaterialia, Biomaterials and PeerJ.
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.