Shian Su
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- Cancer Genomics and Diagnostics
- Molecular Biology top 5%
- Single-cell and spatial transcriptomics
- Genomics and Phylogenetic Studies
- RNA modifications and cancer
- RNA Research and Splicing
Papers in
-
- Single-cell and spatial transcriptomics 7
- RNA modifications and cancer 4
- Gene expression and cancer classification 3
- Bioinformatics and Genomic Networks 2
- Genomics and Phylogenetic Studies 2
-
- Cancer-related molecular mechanisms research 3
- Cancer Genomics and Diagnostics 2
- Co-authors
- Matthew E. Ritchie (16 shared papers)Xueyi Dong (6 shared papers)Quentin Gouil (4 shared papers)Luke Zappia (1 shared paper)Shanika L. Amarasinghe (2 shared papers)Marnie E. Blewitt (5 shared papers)Marie-Liesse Asselin-Labat (3 shared papers)Aliaksei Z. Holik (2 shared papers)
- Journals
- NAR Genomics and Bioinformatics (4 papers)Genome biology (2 papers)PLoS Computational Biology (2 papers)Bioinformatics (2 papers)Nature Methods (1 paper)
- Partner nations
- AustraliaUnited StatesChina
In The Last Decade
Shian Su
16 papers receiving 1.9k citations
Shian Su's Hit Papers
Peers
Comparison fields: 5 of 133
- Cancer Research 266
- Molecular Biology 1.2k
- Immunology 292
- Biophysics 63
- Genetics 215
Countries citing papers authored by Shian Su
This map shows the geographic impact of Shian 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 Shian Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shian Su more than expected).
Fields of papers citing papers by Shian Su
This network shows the impact of papers produced by Shian 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 Shian Su. The network helps show where Shian Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Shian 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
| # | Work | ||
|---|---|---|---|
| 1 | Opportunities and challenges in long-read sequencing data analysis Hit paper breakdown → | 2020 | 910 |
| 2 | 2015 | 367 | |
| 3 | 2019 | 203 | |
| 4 | 2016 | 121 | |
| 5 | 2017 | 108 | |
| 6 | 2018 | 65 | |
| 7 | 2021 | 42 | |
| 8 | 2020 | 26 | |
| 9 | 2021 | 25 | |
| 10 | 2019 | 19 | |
| 11 | 2021 | 16 | |
| 12 | 2021 | 14 | |
| 13 | 2016 | 8 | |
| 14 | 2021 | 5 | |
| 15 | 2024 | 4 | |
| 16 | 2023 | 2 | |
| 17 | 2024 | 1 | |
| 18 | 2024 | 0 |
About Shian Su
Shian Su is a scholar working on Molecular Biology, Cancer Research, Immunology, Surgery and Computer Networks and Communications, having authored 18 papers that have together received 1.9k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (7 papers), RNA modifications and cancer (4 papers), Gene expression and cancer classification (3 papers), Cancer-related molecular mechanisms research (3 papers), Cancer Genomics and Diagnostics (2 papers), Bioinformatics and Genomic Networks (2 papers), Genomics and Phylogenetic Studies (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Cancer Research (266 citations), Molecular Biology (1.2k citations), Immunology (292 citations), Biophysics (63 citations) and Genetics (215 citations). Shian Su has collaborated with scholars based in Australia, United States and China. Frequent co-authors include Matthew E. Ritchie, Xueyi Dong, Quentin Gouil, Luke Zappia, Shanika L. Amarasinghe, Marnie E. Blewitt, Marie-Liesse Asselin-Labat, Aliaksei Z. Holik, Gordon K. Smyth and Ruijie Liu. Their work appears in journals such as NAR Genomics and Bioinformatics, Genome biology, PLoS Computational Biology, Bioinformatics and Nature Methods.
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.