Weijun Su
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Biomaterials top 10%
- Nanoparticle-Based Drug Delivery
Papers in
-
- CRISPR and Genetic Engineering 7
- Advanced biosensing and bioanalysis techniques 7
- RNA Interference and Gene Delivery 4
- Pluripotent Stem Cells Research 4
- Oncology 11
- Cancer Cells and Metastasis 5
- Co-authors
- Yuanyuan Liu (1 shared paper)Rongji Dai (1 shared paper)Bo Li (2 shared papers)Nafissa Ismail (1 shared paper)Han Chu (1 shared paper)Zongjin Li (11 shared papers)Qinjie Wu (5 shared papers)Changyang Gong (5 shared papers)
- Journals
- Journal of Cellular Biochemistry (2 papers)ACS Applied Materials & Interfaces (2 papers)Cellular Physiology and Biochemistry (2 papers)Biomaterials (2 papers)BioMed Research International (2 papers)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Weijun Su
35 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 104
- Cancer Research 305
- Biomaterials 179
- Molecular Biology 815
- Oncology 263
- Genetics 69
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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 214 | |
| 2 | 2016 | 207 | |
| 3 | 2012 | 164 | |
| 4 | 2012 | 91 | |
| 5 | 2019 | 80 | |
| 6 | 2014 | 72 | |
| 7 | 2014 | 67 | |
| 8 | 2018 | 43 | |
| 9 | 2016 | 42 | |
| 10 | 2017 | 30 | |
| 11 | 2015 | 28 | |
| 12 | 2010 | 23 | |
| 13 | 2018 | 23 | |
| 14 | 2015 | 22 | |
| 15 | 2010 | 22 | |
| 16 | 2013 | 21 | |
| 17 | 2012 | 15 | |
| 18 | 2021 | 15 | |
| 19 | 2014 | 14 | |
| 20 | 2021 | 12 |
About Weijun Su
Weijun Su is a scholar working on Molecular Biology, Oncology, Cancer Research, Genetics and Genetics, having authored 36 papers that have together received 1.3k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (7 papers), Advanced biosensing and bioanalysis techniques (7 papers), Cancer Cells and Metastasis (5 papers), Virus-based gene therapy research (4 papers), RNA Interference and Gene Delivery (4 papers), Pluripotent Stem Cells Research (4 papers), Mesenchymal stem cell research (3 papers) and Cancer Research and Treatments (3 papers). The work is most often cited by research in Cancer Research (305 citations), Biomaterials (179 citations), Molecular Biology (815 citations), Oncology (263 citations) and Genetics (69 citations). Weijun Su has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Yuanyuan Liu, Rongji Dai, Bo Li, Nafissa Ismail, Han Chu, Zongjin Li, Qinjie Wu, Changyang Gong, Zhongchao Han and Linjiang Song. Their work appears in journals such as Journal of Cellular Biochemistry, ACS Applied Materials & Interfaces, Cellular Physiology and Biochemistry, Biomaterials and BioMed Research International.
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.