Su Bin Lim
Impact in
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
- Rehabilitation top 5%
Papers in
-
- Single-cell and spatial transcriptomics 13
- RNA modifications and cancer 4
- Oncology 12
- Cancer Cells and Metastasis 9
- Co-authors
- Chwee Teck Lim (16 shared papers)Wan‐Teck Lim (10 shared papers)Swee Jin Tan (5 shared papers)Trifanny Yeo (3 shared papers)Jialiu Zeng (1 shared paper)Chih Hung Lo (1 shared paper)Dat T. Nguyen (1 shared paper)David L. Becker (1 shared paper)
- Journals
- Scientific Data (6 papers)Cancers (4 papers)Clinical and Molecular Hepatology (3 papers)npj Precision Oncology (2 papers)Advanced Science (2 papers)
- Partner nations
- South KoreaSingaporeUnited States
In The Last Decade
Su Bin Lim
44 papers receiving 1.2k citations
Su Bin Lim's Hit Papers
Peers
Comparison fields: 5 of 109
- Cancer Research 240
- Rehabilitation 73
- Oncology 258
- Biomedical Engineering 294
- Molecular Biology 437
Countries citing papers authored by Su Bin Lim
This map shows the geographic impact of Su Bin Lim'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 Su Bin Lim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Su Bin Lim more than expected).
Fields of papers citing papers by Su Bin Lim
This network shows the impact of papers produced by Su Bin Lim. 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 Su Bin Lim. The network helps show where Su Bin Lim may publish in the future.
Co-authors
The 25 scholars most cited alongside Su Bin Lim, 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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 211 | |
| 2 | Cancer‐associated fibroblast‐derived secreted phosphoprotein 1 contributes to resistance of hepatocellular carcinoma to sorafenib and lenvatinib Hit paper breakdown → | 2023 | 125 |
| 3 | 2017 | 90 | |
| 4 | 2019 | 78 | |
| 5 | 2023 | 59 | |
| 6 | 2019 | 58 | |
| 7 | 2019 | 57 | |
| 8 | 2019 | 47 | |
| 9 | 2019 | 34 | |
| 10 | 2019 | 32 | |
| 11 | 2023 | 31 | |
| 12 | 2024 | 31 | |
| 13 | 2016 | 30 | |
| 14 | 2018 | 29 | |
| 15 | 2021 | 26 | |
| 16 | 2017 | 25 | |
| 17 | 2021 | 22 | |
| 18 | 2023 | 20 | |
| 19 | 2022 | 18 | |
| 20 | 2022 | 17 |
About Su Bin Lim
Su Bin Lim is a scholar working on Molecular Biology, Oncology, Cancer Research, Physiology and Immunology, having authored 50 papers that have together received 1.2k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (13 papers), Cancer Cells and Metastasis (9 papers), Telomeres, Telomerase, and Senescence (6 papers), Cancer Genomics and Diagnostics (6 papers), Immune cells in cancer (5 papers), Ferroptosis and cancer prognosis (5 papers), RNA modifications and cancer (4 papers) and Cancer-related molecular mechanisms research (3 papers). The work is most often cited by research in Cancer Research (240 citations), Rehabilitation (73 citations), Oncology (258 citations), Biomedical Engineering (294 citations) and Molecular Biology (437 citations). Su Bin Lim has collaborated with scholars based in South Korea, Singapore and United States. Frequent co-authors include Chwee Teck Lim, Wan‐Teck Lim, Swee Jin Tan, Trifanny Yeo, Jialiu Zeng, Chih Hung Lo, Dat T. Nguyen, David L. Becker, John S. Ho and Nishanth V. Menon. Their work appears in journals such as Scientific Data, Cancers, Clinical and Molecular Hepatology, npj Precision Oncology and Advanced Science.
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.