Kai‐Hung Wang
Impact in
- Reproductive Medicine top 5%
- Endometriosis Research and Treatment
- Obstetrics and Gynecology top 5%
- Uterine Myomas and Treatments
Papers in
- Oncology 14
- Cancer Cells and Metastasis 11
- Cancer-related Molecular Pathways 5
- Co-authors
- An‐Pei Kao (17 shared papers)Chia‐Cheng Chang (9 shared papers)Muthaiah Shellaiah (1 shared paper)Kien Wen Sun (1 shared paper)Sin‐Daw Lin (5 shared papers)Dah‐Ching Ding (10 shared papers)Tsung‐Cheng Kuo (10 shared papers)Jau-Nan Lee (4 shared papers)
- Journals
- Cell Transplantation (4 papers)Scientific Reports (3 papers)Biotechnology and Applied Biochemistry (2 papers)Journal of Biomedical Science (2 papers)Fertility and Sterility (2 papers)
- Partner nations
- TaiwanUnited StatesIndia
In The Last Decade
Kai‐Hung Wang
42 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 97
- Reproductive Medicine 180
- Obstetrics and Gynecology 161
- Genetics 128
- Cancer Research 155
- Polymers and Plastics 108
Countries citing papers authored by Kai‐Hung Wang
This map shows the geographic impact of Kai‐Hung 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 Kai‐Hung Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai‐Hung Wang more than expected).
Fields of papers citing papers by Kai‐Hung Wang
This network shows the impact of papers produced by Kai‐Hung 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 Kai‐Hung Wang. The network helps show where Kai‐Hung Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Kai‐Hung 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
Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 215 | |
| 2 | 2010 | 127 | |
| 3 | 2007 | 70 | |
| 4 | 2015 | 69 | |
| 5 | 2005 | 61 | |
| 6 | 2010 | 49 | |
| 7 | 2010 | 48 | |
| 8 | 2016 | 48 | |
| 9 | 2011 | 46 | |
| 10 | 2015 | 43 | |
| 11 | 2015 | 42 | |
| 12 | 2008 | 36 | |
| 13 | 2013 | 34 | |
| 14 | 2009 | 33 | |
| 15 | 2014 | 31 | |
| 16 | 2010 | 30 | |
| 17 | 2008 | 30 | |
| 18 | 2018 | 26 | |
| 19 | 2015 | 26 | |
| 20 | 2012 | 20 |
About Kai‐Hung Wang
Kai‐Hung Wang is a scholar working on Molecular Biology, Oncology, Cancer Research, Surgery and Genetics, having authored 47 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (11 papers), Mesenchymal stem cell research (7 papers), Cancer-related Molecular Pathways (5 papers), Perovskite Materials and Applications (5 papers), Endometriosis Research and Treatment (5 papers), Uterine Myomas and Treatments (5 papers), Cancer, Lipids, and Metabolism (4 papers) and Reproductive System and Pregnancy (4 papers). The work is most often cited by research in Reproductive Medicine (180 citations), Obstetrics and Gynecology (161 citations), Genetics (128 citations), Cancer Research (155 citations) and Polymers and Plastics (108 citations). Kai‐Hung Wang has collaborated with scholars based in Taiwan, United States and India. Frequent co-authors include An‐Pei Kao, Chia‐Cheng Chang, Muthaiah Shellaiah, Kien Wen Sun, Sin‐Daw Lin, Dah‐Ching Ding, Tsung‐Cheng Kuo, Jau-Nan Lee, Eing‐Mei Tsai and Cheng‐Yu Long. Their work appears in journals such as Cell Transplantation, Scientific Reports, Biotechnology and Applied Biochemistry, Journal of Biomedical Science and Fertility and Sterility.
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.