Weijun Su
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Biomaterials top 10%
- Nanoparticle-Based Drug Delivery
Papers in
-
- Advanced biosensing and bioanalysis techniques 7
- CRISPR and Genetic Engineering 6
- RNA Interference and Gene Delivery 4
- RNA and protein synthesis mechanisms 3
- Oncology 11
- Cancer Cells and Metastasis 5
- Co-authors
- Bo Li (2 shared papers)Yuanyuan Liu (1 shared paper)Nafissa Ismail (1 shared paper)Rongji Dai (1 shared paper)Zongjin Li (12 shared papers)Changyang Gong (5 shared papers)Qinjie Wu (5 shared papers)Linjiang Song (4 shared papers)
- Journals
- Oncogene (2 papers)Cellular Physiology and Biochemistry (2 papers)BioMed Research International (2 papers)ChemBioChem (2 papers)Nanoscale (2 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Weijun Su
35 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 103
- Cancer Research 273
- Biomaterials 175
- Molecular Biology 773
- Oncology 236
- Genetics 65
Countries citing papers authored by Weijun Su
This map shows the geographic impact of Weijun Su'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 Weijun Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weijun Su more than expected).
Fields of papers citing papers by Weijun Su
This network shows the impact of papers produced by Weijun Su. 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 Weijun Su. The network helps show where Weijun Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Weijun Su, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 228 | |
| 2 | 2016 | 216 | |
| 3 | 2012 | 174 | |
| 4 | 2012 | 91 | |
| 5 | 2019 | 82 | |
| 6 | 2014 | 77 | |
| 7 | 2014 | 72 | |
| 8 | 2016 | 44 | |
| 9 | 2018 | 43 | |
| 10 | 2017 | 33 | |
| 11 | 2015 | 29 | |
| 12 | 2018 | 26 | |
| 13 | 2015 | 26 | |
| 14 | 2010 | 25 | |
| 15 | 2010 | 24 | |
| 16 | 2013 | 22 | |
| 17 | 2012 | 17 | |
| 18 | 2014 | 15 | |
| 19 | 2021 | 15 | |
| 20 | 2015 | 14 |
About Weijun Su
Weijun Su is a scholar working on Molecular Biology, Oncology, Cancer Research, Genetics and Biomaterials, having authored 37 papers that have together received 1.4k indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (7 papers), CRISPR and Genetic Engineering (6 papers), Cancer Cells and Metastasis (5 papers), RNA Interference and Gene Delivery (4 papers), Virus-based gene therapy research (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Nanoparticle-Based Drug Delivery (3 papers) and RNA and protein synthesis mechanisms (3 papers). The work is most often cited by research in Cancer Research (273 citations), Biomaterials (175 citations), Molecular Biology (773 citations), Oncology (236 citations) and Genetics (65 citations). Weijun Su has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Bo Li, Yuanyuan Liu, Nafissa Ismail, Rongji Dai, Zongjin Li, Changyang Gong, Qinjie Wu, Linjiang Song, Zhongchao Han and Rong Xiang. Their work appears in journals such as Oncogene, Cellular Physiology and Biochemistry, BioMed Research International, ChemBioChem and Nanoscale.
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.