Sai Kiang Lim
- Molecular Biology top 0.2%
- Cancer Research top 0.05%
- Genetics top 0.05%
- Surgery top 0.5%
- Physiology top 1%
- Co-authors
- Ruenn Chai LaiAndre ChooWei Seong TohRonne Wee Yeh YeoTian Sheng ChenSiu Kwan SzeFatih ArslanDominique P.V. de Kleijn
- Topics
- Extracellular vesicles in disease (83 papers)MicroRNA in disease regulation (39 papers)Mesenchymal stem cell research (36 papers)
- Partner nations
- SingaporeUnited StatesNetherlands
In The Last Decade
Sai Kiang Lim
180 papers receiving 19.5k citations
Hit Papers
Peers
Comparison fields: 5 of 161
- Molecular Biology 13.6k
- Cancer Research 6.9k
- Genetics 4.4k
- Surgery 3.1k
- Physiology 1.9k
Countries citing papers authored by Sai Kiang Lim
This map shows the geographic impact of Sai Kiang 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 Sai Kiang Lim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sai Kiang Lim more than expected).
Fields of papers citing papers by Sai Kiang Lim
This network shows the impact of papers produced by Sai Kiang 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 Sai Kiang Lim. The network helps show where Sai Kiang Lim may publish in the future.
Co-authorship network of co-authors of Sai Kiang Lim
This figure shows the co-authorship network connecting the top 25 collaborators of Sai Kiang Lim. A scholar is included among the top collaborators of Sai Kiang Lim based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sai Kiang Lim. Sai Kiang Lim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 5 | |
| 3 | 2 | |
| 4 | 19 | |
| 5 | 12 | |
| 6 | 21 | |
| 7 | 44 | |
| 8 | 12 | |
| 9 | 1 | |
| 10 | Defining mesenchymal stromal cell (MSC)‐derived small extracellular vesicles for therapeutic applicationsbreakdown → | 462 |
| 11 | 1 | |
| 12 | Mesenchymal Stem Cells Secrete Immunologically Active Exosomesbreakdown → | 551 |
| 13 | Mesenchymal stem cell-derived exosomes increase ATP levels, decrease oxidative stress and activate PI3K/Akt pathway to enhance myocardial viability and prevent adverse remodeling after myocardial ischemia/reperfusion injurybreakdown → | 908 |
| 14 | 5 | |
| 15 | 96 | |
| 16 | 20 | |
| 17 | Metabolic Abnormalities according to Severity of Non-alcoholic Fatty Liver Disease in Korean Adults. | 3 |
| 18 | 52 | |
| 19 | 139 | |
| 20 | 7 |
About Sai Kiang Lim
Sai Kiang Lim is a scholar working on Genetics, Cancer Research and Molecular Biology, having authored 181 papers that have together received 19.8k indexed citations. Recurring topics across this work include Extracellular vesicles in disease (83 papers), MicroRNA in disease regulation (39 papers) and Mesenchymal stem cell research (36 papers). The work is most often cited by research in Cancer Research (6.9k citations), Genetics (4.4k citations) and Molecular Biology (13.6k citations). Sai Kiang Lim has collaborated with scholars based in Singapore, United States and Netherlands. Frequent co-authors include Ruenn Chai Lai, Andre Choo, Wei Seong Toh, Ronne Wee Yeh Yeo, Tian Sheng Chen, Siu Kwan Sze, Fatih Arslan, Dominique P.V. de Kleijn, Soon Sim Tan and Chuen Neng Lee. Their work appears in journals such as Nucleic Acids Research, Circulation and Genes & Development.
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.