Shuhui Lim
Impact in
- Oncology top 5%
- Cancer-related Molecular Pathways
- Molecular Biology top 10%
- Ubiquitin and proteasome pathways
- Protein Degradation and Inhibitors
- Epigenetics and DNA Methylation
- RNA modifications and cancer
- DNA Repair Mechanisms
Papers in
-
- Ubiquitin and proteasome pathways 3
- Protein Degradation and Inhibitors 3
- Epigenetics and DNA Methylation 2
- RNA Interference and Gene Delivery 2
- Oncology 6
- Cancer-related Molecular Pathways 4
- Peptidase Inhibition and Analysis 2
- Co-authors
- Philipp Kaldis (4 shared papers)Simon Ng (4 shared papers)Anthony W. Partridge (5 shared papers)Brian Henry (4 shared papers)Shih Chieh Chang (3 shared papers)Chit Fang Cheok (2 shared papers)Charles W. Johannes (1 shared paper)Greg L. Beilhartz (1 shared paper)
- Journals
- Scientific Reports (1 paper)ACS Central Science (1 paper)Cell Reports (1 paper)Stem Cells (1 paper)Cellular and Molecular Life Sciences (1 paper)
- Partner nations
- SingaporeUnited StatesRussia
In The Last Decade
Shuhui Lim
11 papers receiving 1.6k citations
Shuhui Lim's Hit Papers
Peers
Comparison fields: 5 of 99
- Oncology 513
- Molecular Biology 964
- Cell Biology 210
- Cancer Research 176
- Developmental Neuroscience 44
Countries citing papers authored by Shuhui Lim
This map shows the geographic impact of Shuhui 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 Shuhui Lim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shuhui Lim more than expected).
Fields of papers citing papers by Shuhui Lim
This network shows the impact of papers produced by Shuhui 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 Shuhui Lim. The network helps show where Shuhui Lim may publish in the future.
Co-authors
The 25 scholars most cited alongside Shuhui 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
| # | Work | ||
|---|---|---|---|
| 1 | Cdks, cyclins and CKIs: roles beyond cell cycle regulation Hit paper breakdown → | 2013 | 1179 |
| 2 | 2020 | 114 | |
| 3 | 2016 | 75 | |
| 4 | 2012 | 67 | |
| 5 | 2020 | 57 | |
| 6 | 2022 | 19 | |
| 7 | 2017 | 18 | |
| 8 | 2012 | 17 | |
| 9 | 2009 | 11 | |
| 10 | 2024 | 11 | |
| 11 | 2022 | 6 |
About Shuhui Lim
Shuhui Lim is a scholar working on Molecular Biology, Oncology, Developmental Neuroscience, Cancer Research and Ecology, having authored 11 papers that have together received 1.6k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (4 papers), Ubiquitin and proteasome pathways (3 papers), Protein Degradation and Inhibitors (3 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), Epigenetics and DNA Methylation (2 papers), Peptidase Inhibition and Analysis (2 papers), RNA Interference and Gene Delivery (2 papers) and Aquaculture disease management and microbiota (1 paper). The work is most often cited by research in Oncology (513 citations), Molecular Biology (964 citations), Cell Biology (210 citations), Cancer Research (176 citations) and Developmental Neuroscience (44 citations). Shuhui Lim has collaborated with scholars based in Singapore, United States and Russia. Frequent co-authors include Philipp Kaldis, Simon Ng, Anthony W. Partridge, Brian Henry, Shih Chieh Chang, Chit Fang Cheok, Charles W. Johannes, Greg L. Beilhartz, Roman A. Melnyk and David P. Lane. Their work appears in journals such as Scientific Reports, ACS Central Science, Cell Reports, Stem Cells and Cellular and Molecular Life Sciences.
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.