Sherwin Ting
Impact in
- Biomaterials top 10%
- Electrospun Nanofibers in Biomedical Applications
- Surgery top 10%
- Tissue Engineering and Regenerative Medicine
Papers in
-
- Pluripotent Stem Cells Research 14
- CRISPR and Genetic Engineering 4
- Viral Infectious Diseases and Gene Expression in Insects 2
- Surgery 9
- Tissue Engineering and Regenerative Medicine 9
- Co-authors
- Shaul Reuveny (12 shared papers)Steve Oh (7 shared papers)Allen Chen (7 shared papers)Steve Oh (2 shared papers)Martí Lecina (3 shared papers)Steve Oh (8 shared papers)Andre Choo (1 shared paper)Yau-Chi Chan (1 shared paper)
In The Last Decade
Sherwin Ting
20 papers receiving 678 citations
Peers
Comparison fields: 5 of 70
- Biomaterials 111
- Surgery 295
- Cellular and Molecular Neuroscience 112
- Molecular Biology 421
- Biomedical Engineering 270
Countries citing papers authored by Sherwin Ting
This map shows the geographic impact of Sherwin Ting'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 Sherwin Ting with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sherwin Ting more than expected).
Fields of papers citing papers by Sherwin Ting
This network shows the impact of papers produced by Sherwin Ting. 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 Sherwin Ting. The network helps show where Sherwin Ting may publish in the future.
Co-authors
The 25 scholars most cited alongside Sherwin Ting, 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 | 2013 | 149 | |
| 2 | 2010 | 88 | |
| 3 | 2018 | 68 | |
| 4 | 2014 | 64 | |
| 5 | 2019 | 59 | |
| 6 | 2003 | 52 | |
| 7 | 2014 | 37 | |
| 8 | 2015 | 36 | |
| 9 | 2011 | 25 | |
| 10 | 2015 | 22 | |
| 11 | 2017 | 15 | |
| 12 | 2020 | 11 | |
| 13 | 2018 | 11 | |
| 14 | 2014 | 11 | |
| 15 | 2017 | 10 | |
| 16 | 2012 | 9 | |
| 17 | 2016 | 8 | |
| 18 | 2013 | 6 | |
| 19 | 2013 | 4 | |
| 20 | 2017 | 2 |
About Sherwin Ting
Sherwin Ting is a scholar working on Molecular Biology, Surgery, Biomedical Engineering, Cellular and Molecular Neuroscience and Biomaterials, having authored 20 papers that have together received 687 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (14 papers), Tissue Engineering and Regenerative Medicine (9 papers), 3D Printing in Biomedical Research (8 papers), CRISPR and Genetic Engineering (4 papers), Electrospun Nanofibers in Biomedical Applications (3 papers), Neuroscience and Neural Engineering (3 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers) and Additive Manufacturing and 3D Printing Technologies (2 papers). The work is most often cited by research in Biomaterials (111 citations), Surgery (295 citations), Cellular and Molecular Neuroscience (112 citations), Molecular Biology (421 citations) and Biomedical Engineering (270 citations). Sherwin Ting has collaborated with scholars based in Singapore, China and Israel. Frequent co-authors include Shaul Reuveny, Steve Oh, Allen Chen, Steve Oh, Martí Lecina, Steve Oh, Andre Choo, Yau-Chi Chan, Zi Chen and Kwong‐Man Ng. Their work appears in journals such as Stem Cell Research, Stem Cell Research & Therapy, Scientific Reports, Biochemical and Biophysical Research Communications and Tissue Engineering Part C 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.