Ran Su
Impact in
- Microbiology top 1%
- Antimicrobial Peptides and Activities
- Molecular Biology top 2%
- Machine Learning in Bioinformatics
- RNA and protein synthesis mechanisms
- Genomics and Phylogenetic Studies
- vaccines and immunoinformatics approaches
- RNA modifications and cancer
Papers in
-
- Machine Learning in Bioinformatics 33
- Genomics and Phylogenetic Studies 10
- Gene expression and cancer classification 10
- RNA and protein synthesis mechanisms 10
- Bioinformatics and Genomic Networks 10
- Co-authors
- Leyi Wei (63 shared papers)Quan Zou (19 shared papers)Zhaopeng Meng (10 shared papers)Qiangguo Jin (21 shared papers)Changming Sun (28 shared papers)Tuan D. Pham (10 shared papers)Qi Chen (1 shared paper)Chen Zhou (2 shared papers)
In The Last Decade
Ran Su
108 papers receiving 6.1k citations
Ran Su's Hit Papers
Peers
Comparison fields: 5 of 171
- Microbiology 464
- Molecular Biology 3.5k
- Radiology, Nuclear Medicine and Imaging 903
- Computer Vision and Pattern Recognition 912
- Computational Theory and Mathematics 675
Countries citing papers authored by Ran Su
This map shows the geographic impact of Ran 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 Ran Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ran Su more than expected).
Fields of papers citing papers by Ran Su
This network shows the impact of papers produced by Ran 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 Ran Su. The network helps show where Ran Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Ran 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 115 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | DUNet: A deformable network for retinal vessel segmentation Hit paper breakdown → | 2019 | 678 |
| 2 | 2018 | 391 | |
| 3 | RA-UNet: A Hybrid Deep Attention-Aware Network to Extract Liver and Tumor in CT Scans Hit paper breakdown → | 2020 | 361 |
| 4 | 2017 | 221 | |
| 5 | 2019 | 208 | |
| 6 | 2017 | 199 | |
| 7 | 2017 | 191 | |
| 8 | 2019 | 170 | |
| 9 | 2018 | 168 | |
| 10 | 2018 | 159 | |
| 11 | 2019 | 155 | |
| 12 | 2018 | 146 | |
| 13 | 2018 | 136 | |
| 14 | DeepBIO: an automated and interpretable deep-learning platform for high-throughput biological sequence prediction, functional annotation and visualization analysis Hit paper breakdown → | 2023 | 131 |
| 15 | 2020 | 131 | |
| 16 | 2018 | 127 | |
| 17 | 2018 | 126 | |
| 18 | 2018 | 120 | |
| 19 | 2019 | 120 | |
| 20 | 2022 | 117 |
About Ran Su
Ran Su is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition, Computational Theory and Mathematics, Biophysics and Radiology, Nuclear Medicine and Imaging, having authored 115 papers that have together received 6.1k indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (33 papers), Computational Drug Discovery Methods (16 papers), AI in cancer detection (11 papers), Genomics and Phylogenetic Studies (10 papers), Gene expression and cancer classification (10 papers), RNA and protein synthesis mechanisms (10 papers), Bioinformatics and Genomic Networks (10 papers) and Cell Image Analysis Techniques (9 papers). The work is most often cited by research in Microbiology (464 citations), Molecular Biology (3.5k citations), Radiology, Nuclear Medicine and Imaging (903 citations), Computer Vision and Pattern Recognition (912 citations) and Computational Theory and Mathematics (675 citations). Ran Su has collaborated with scholars based in China, Australia and Macao. Frequent co-authors include Leyi Wei, Quan Zou, Zhaopeng Meng, Qiangguo Jin, Changming Sun, Tuan D. Pham, Qi Chen, Chen Zhou, Jiangning (John) Song and Pengwei Xing. Their work appears in journals such as Briefings in Bioinformatics, Bioinformatics, IEEE Journal of Biomedical and Health Informatics, Methods and Frontiers in Bioengineering and Biotechnology.
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.