Chen-Hung Ting
Impact in
- Genetics top 5%
- Neurogenetic and Muscular Disorders Research
- Microbiology top 5%
- Antimicrobial Peptides and Activities
Papers in
-
- RNA modifications and cancer 9
- RNA and protein synthesis mechanisms 2
- Genetics 13
- Neurogenetic and Muscular Disorders Research 13
- Co-authors
- Hung Li (9 shared papers)Jyh‐Yih Chen (10 shared papers)Li‐Kai Tsai (10 shared papers)Ming‐Shiun Tsai (2 shared papers)Yi‐Chun Chen (4 shared papers)Sue Lin‐Chao (5 shared papers)Chang‐Jer Wu (2 shared papers)Hsiu Mei Hsieh‐Li (2 shared papers)
In The Last Decade
Chen-Hung Ting
24 papers receiving 755 citations
Peers
Comparison fields: 5 of 81
- Genetics 311
- Microbiology 157
- Molecular Biology 522
- Immunology 126
- Aquatic Science 40
Countries citing papers authored by Chen-Hung Ting
This map shows the geographic impact of Chen-Hung 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 Chen-Hung Ting with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chen-Hung Ting more than expected).
Fields of papers citing papers by Chen-Hung Ting
This network shows the impact of papers produced by Chen-Hung 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 Chen-Hung Ting. The network helps show where Chen-Hung Ting may publish in the future.
Co-authors
The 25 scholars most cited alongside Chen-Hung 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
Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 88 | |
| 2 | 2009 | 77 | |
| 3 | 2010 | 63 | |
| 4 | 2014 | 62 | |
| 5 | 2016 | 49 | |
| 6 | 2014 | 44 | |
| 7 | 2007 | 43 | |
| 8 | 2008 | 38 | |
| 9 | 2011 | 37 | |
| 10 | 2017 | 31 | |
| 11 | 2012 | 30 | |
| 12 | 2019 | 28 | |
| 13 | 2018 | 28 | |
| 14 | 2014 | 27 | |
| 15 | 2018 | 25 | |
| 16 | 2019 | 21 | |
| 17 | 2012 | 16 | |
| 18 | 2018 | 13 | |
| 19 | 2020 | 12 | |
| 20 | 2013 | 10 |
About Chen-Hung Ting
Chen-Hung Ting is a scholar working on Molecular Biology, Genetics, Microbiology, Surgery and Immunology, having authored 25 papers that have together received 760 indexed citations. Recurring topics across this work include Neurogenetic and Muscular Disorders Research (13 papers), RNA modifications and cancer (9 papers), Antimicrobial Peptides and Activities (8 papers), Aquaculture disease management and microbiota (5 papers), Congenital Anomalies and Fetal Surgery (3 papers), Invertebrate Immune Response Mechanisms (2 papers), Amyotrophic Lateral Sclerosis Research (2 papers) and RNA and protein synthesis mechanisms (2 papers). The work is most often cited by research in Genetics (311 citations), Microbiology (157 citations), Molecular Biology (522 citations), Immunology (126 citations) and Aquatic Science (40 citations). Chen-Hung Ting has collaborated with scholars based in Taiwan, India and China. Frequent co-authors include Hung Li, Jyh‐Yih Chen, Li‐Kai Tsai, Ming‐Shiun Tsai, Yi‐Chun Chen, Sue Lin‐Chao, Chang‐Jer Wu, Hsiu Mei Hsieh‐Li, King‐Jen Chang and Fon‐Jou Hsieh. Their work appears in journals such as Human Molecular Genetics, Marine Drugs, Fish & Shellfish Immunology, Neurobiology of Disease and Experimental Neurology.
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.