Siew Tein Wang
Impact in
- Molecular Biology top 10%
- Pluripotent Stem Cells Research
- Sphingolipid Metabolism and Signaling
- CRISPR and Genetic Engineering
- Renal and related cancers
- Aging top 10%
Papers in
-
- Pluripotent Stem Cells Research 4
- Sphingolipid Metabolism and Signaling 3
- Renal and related cancers 2
- CRISPR and Genetic Engineering 2
- Peroxisome Proliferator-Activated Receptors 1
- Glycosylation and Glycoproteins Research 1
- Surgery 3
- Pancreatic function and diabetes 3
- Co-authors
- N. Ray Dunn (5 shared papers)Hannes Hentze (3 shared papers)Poh Loong Soong (2 shared papers)Blaine Phillips (2 shared papers)Thomas Choudary Putti (1 shared paper)Scott A. Summers (3 shared papers)Jianhong Ching (2 shared papers)Ying Li (1 shared paper)
- Journals
- Journal of Dermatological Science (1 paper)Cell Metabolism (1 paper)Development (1 paper)Stem Cells (1 paper)Clinical Cosmetic and Investigational Dermatology (1 paper)
- Partner nations
- SingaporeUnited StatesGermany
In The Last Decade
Siew Tein Wang
11 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 89
- Molecular Biology 868
- Aging 21
- Biochemistry 69
- Surgery 345
- Physiology 198
Countries citing papers authored by Siew Tein Wang
This map shows the geographic impact of Siew Tein Wang'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 Siew Tein Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Siew Tein Wang more than expected).
Fields of papers citing papers by Siew Tein Wang
This network shows the impact of papers produced by Siew Tein Wang. 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 Siew Tein Wang. The network helps show where Siew Tein Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Siew Tein Wang, 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 | 2009 | 389 | |
| 2 | 2014 | 372 | |
| 3 | 2007 | 117 | |
| 4 | 2013 | 111 | |
| 5 | 2011 | 101 | |
| 6 | 2009 | 99 | |
| 7 | 2021 | 47 | |
| 8 | 2007 | 30 | |
| 9 | 2014 | 21 | |
| 10 | 2021 | 11 | |
| 11 | 2012 | 1 |
About Siew Tein Wang
Siew Tein Wang is a scholar working on Molecular Biology, Surgery, Cell Biology, Organic Chemistry and Dermatology, having authored 11 papers that have together received 1.3k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (4 papers), Pancreatic function and diabetes (3 papers), Sphingolipid Metabolism and Signaling (3 papers), Renal and related cancers (2 papers), CRISPR and Genetic Engineering (2 papers), Hippo pathway signaling and YAP/TAZ (1 paper), Peroxisome Proliferator-Activated Receptors (1 paper) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Molecular Biology (868 citations), Aging (21 citations), Biochemistry (69 citations), Surgery (345 citations) and Physiology (198 citations). Siew Tein Wang has collaborated with scholars based in Singapore, United States and Germany. Frequent co-authors include N. Ray Dunn, Hannes Hentze, Poh Loong Soong, Blaine Phillips, Thomas Choudary Putti, Scott A. Summers, Jianhong Ching, Ying Li, Yael Pewzner‐Jung and Anthony H. Futerman. Their work appears in journals such as Journal of Dermatological Science, Cell Metabolism, Development, Stem Cells and Clinical Cosmetic and Investigational Dermatology.
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.