Hung‐Chih Kuo
Impact in
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
- Developmental Neuroscience top 5%
Papers in
-
- Pluripotent Stem Cells Research 34
- CRISPR and Genetic Engineering 15
- Epigenetics and DNA Methylation 5
- Genetics 13
- Co-authors
- Hong‐Nerng Ho (19 shared papers)Hsin‐Fu Chen (15 shared papers)Don P. Wolf (10 shared papers)Ching-Yu Chuang (18 shared papers)Shau‐Ping Lin (4 shared papers)Shoukhrat Mitalipov (5 shared papers)Oscar K. Lee (2 shared papers)Hsiang–Po Huang (9 shared papers)
- Journals
- Scientific Reports (6 papers)Human Reproduction (4 papers)Biology of Reproduction (4 papers)Fertility and Sterility (3 papers)Stem Cell Research & Therapy (3 papers)
- Partner nations
- TaiwanUnited StatesUnited Kingdom
In The Last Decade
Hung‐Chih Kuo
86 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 132
- Molecular Medicine 163
- Developmental Neuroscience 127
- Molecular Biology 1.6k
- Endocrinology 106
- Genetics 181
Countries citing papers authored by Hung‐Chih Kuo
This map shows the geographic impact of Hung‐Chih Kuo'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 Hung‐Chih Kuo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hung‐Chih Kuo more than expected).
Fields of papers citing papers by Hung‐Chih Kuo
This network shows the impact of papers produced by Hung‐Chih Kuo. 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 Hung‐Chih Kuo. The network helps show where Hung‐Chih Kuo may publish in the future.
Co-authors
The 25 scholars most cited alongside Hung‐Chih Kuo, 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 90 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 289 | |
| 2 | 2011 | 214 | |
| 3 | 2006 | 113 | |
| 4 | 2011 | 110 | |
| 5 | 2009 | 108 | |
| 6 | 2006 | 82 | |
| 7 | 2011 | 81 | |
| 8 | 2013 | 76 | |
| 9 | 2000 | 74 | |
| 10 | 2003 | 74 | |
| 11 | 2002 | 62 | |
| 12 | 2013 | 55 | |
| 13 | 2003 | 54 | |
| 14 | 2019 | 53 | |
| 15 | 2017 | 49 | |
| 16 | 2014 | 48 | |
| 17 | 2004 | 47 | |
| 18 | 2012 | 47 | |
| 19 | 2011 | 47 | |
| 20 | 2011 | 47 |
About Hung‐Chih Kuo
Hung‐Chih Kuo is a scholar working on Molecular Biology, Genetics, Molecular Medicine, Cellular and Molecular Neuroscience and Microbiology, having authored 90 papers that have together received 2.9k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (34 papers), CRISPR and Genetic Engineering (15 papers), Antibiotic Resistance in Bacteria (10 papers), Microbial infections and disease research (9 papers), Antibiotics Pharmacokinetics and Efficacy (6 papers), 3D Printing in Biomedical Research (6 papers), Salmonella and Campylobacter epidemiology (5 papers) and Epigenetics and DNA Methylation (5 papers). The work is most often cited by research in Molecular Medicine (163 citations), Developmental Neuroscience (127 citations), Molecular Biology (1.6k citations), Endocrinology (106 citations) and Genetics (181 citations). Hung‐Chih Kuo has collaborated with scholars based in Taiwan, United States and United Kingdom. Frequent co-authors include Hong‐Nerng Ho, Hsin‐Fu Chen, Don P. Wolf, Ching-Yu Chuang, Shau‐Ping Lin, Shoukhrat Mitalipov, Oscar K. Lee, Hsiang–Po Huang, Vincent W. Yang and Yu-Fan Chen. Their work appears in journals such as Scientific Reports, Human Reproduction, Biology of Reproduction, Fertility and Sterility and Stem Cell Research & Therapy.
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.