Ting Kang
Impact in
- Rehabilitation top 2%
- Wound Healing and Treatments
- Genetics top 5%
- Mesenchymal stem cell research
Papers in
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- RNA Research and Splicing 3
- Cancer-related gene regulation 3
-
- Lipid metabolism and disorders 3
- Co-authors
- Chia Soo (14 shared papers)Catherine Dang (6 shared papers)Steven R. Beanes (5 shared papers)Ichiro Nishimura (6 shared papers)Winston E. Thompson (3 shared papers)Y. Eugene Chen (2 shared papers)Méthode Bacanamwo (2 shared papers)Xinli Zhang (10 shared papers)
- Journals
- Plastic & Reconstructive Surgery (4 papers)PLoS ONE (3 papers)Biomaterials (2 papers)Experimental Cell Research (2 papers)Food & Function (2 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Ting Kang
56 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 116
- Rehabilitation 215
- Genetics 194
- Urology 106
- Oral Surgery 113
- Cancer Research 234
Countries citing papers authored by Ting Kang
This map shows the geographic impact of Ting Kang'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 Ting Kang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ting Kang more than expected).
Fields of papers citing papers by Ting Kang
This network shows the impact of papers produced by Ting Kang. 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 Ting Kang. The network helps show where Ting Kang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ting Kang, 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 61 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 193 | |
| 2 | 2003 | 192 | |
| 3 | 2013 | 135 | |
| 4 | 1998 | 125 | |
| 5 | 2009 | 103 | |
| 6 | 2006 | 88 | |
| 7 | 2012 | 77 | |
| 8 | 2005 | 72 | |
| 9 | 2011 | 69 | |
| 10 | 2012 | 60 | |
| 11 | 1999 | 60 | |
| 12 | 2003 | 52 | |
| 13 | 1995 | 46 | |
| 14 | 2012 | 34 | |
| 15 | 1993 | 31 | |
| 16 | 2017 | 28 | |
| 17 | 2018 | 28 | |
| 18 | 2021 | 23 | |
| 19 | 2017 | 19 | |
| 20 | 2020 | 19 |
About Ting Kang
Ting Kang is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Cancer Research, Epidemiology and Rheumatology, having authored 61 papers that have together received 1.7k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (4 papers), Orthodontics and Dentofacial Orthopedics (3 papers), RNA Research and Splicing (3 papers), Lipid metabolism and disorders (3 papers), Wound Healing and Treatments (3 papers), Cancer-related gene regulation (3 papers), Diet and metabolism studies (2 papers) and Dermatologic Treatments and Research (2 papers). The work is most often cited by research in Rehabilitation (215 citations), Genetics (194 citations), Urology (106 citations), Oral Surgery (113 citations) and Cancer Research (234 citations). Ting Kang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Chia Soo, Catherine Dang, Steven R. Beanes, Ichiro Nishimura, Winston E. Thompson, Y. Eugene Chen, Méthode Bacanamwo, Xinli Zhang, Leila Jahangiri and Hugh Devlin. Their work appears in journals such as Plastic & Reconstructive Surgery, PLoS ONE, Biomaterials, Experimental Cell Research and Food & Function.
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.