Ching‐Ti Liu
Impact in
Papers in
- Genetics 60
- Genetic Associations and Epidemiology 46
- Genetic Mapping and Diversity in Plants and Animals 16
- Genetic and phenotypic traits in livestock 15
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- Epigenetics and DNA Methylation 17
- Bioinformatics and Genomic Networks 15
- Co-authors
- Kurt Lohman (5 shared papers)Morgan E. Levine (2 shared papers)Lifang Hou (2 shared papers)Yun Li (2 shared papers)Alex P. Reiner (2 shared papers)James D. Stewart (1 shared paper)Luigi Ferrucci (1 shared paper)Austin Quach (1 shared paper)
- Journals
- Journal of Bone and Mineral Research (8 papers)Genetic Epidemiology (6 papers)Human Molecular Genetics (5 papers)Epigenetics (5 papers)Statistics in Medicine (4 papers)
- Partner nations
- United StatesTaiwanChina
In The Last Decade
Ching‐Ti Liu
171 papers receiving 5.7k citations
Ching‐Ti Liu's Hit Papers
Peers
Comparison fields: 5 of 172
- Aging 320
- Health 332
- Pediatrics, Perinatology and Child Health 750
- Physiology 966
- Genetics 1.0k
Countries citing papers authored by Ching‐Ti Liu
This map shows the geographic impact of Ching‐Ti Liu'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 Ching‐Ti Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ching‐Ti Liu more than expected).
Fields of papers citing papers by Ching‐Ti Liu
This network shows the impact of papers produced by Ching‐Ti Liu. 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 Ching‐Ti Liu. The network helps show where Ching‐Ti Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ching‐Ti Liu, 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 181 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | An epigenetic biomarker of aging for lifespan and healthspan Hit paper breakdown → | 2018 | 1931 |
| 2 | 2017 | 160 | |
| 3 | 2015 | 149 | |
| 4 | 2009 | 138 | |
| 5 | 2017 | 127 | |
| 6 | 2021 | 116 | |
| 7 | 2018 | 114 | |
| 8 | 2010 | 110 | |
| 9 | 2010 | 100 | |
| 10 | 2018 | 97 | |
| 11 | 2018 | 78 | |
| 12 | 2020 | 77 | |
| 13 | 2007 | 75 | |
| 14 | 2021 | 74 | |
| 15 | 2016 | 70 | |
| 16 | 2016 | 56 | |
| 17 | 2016 | 56 | |
| 18 | 2009 | 55 | |
| 19 | 2004 | 54 | |
| 20 | 2020 | 52 |
About Ching‐Ti Liu
Ching‐Ti Liu is a scholar working on Genetics, Molecular Biology, Physiology, Epidemiology and Public Health, Environmental and Occupational Health, having authored 181 papers that have together received 5.8k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (46 papers), Epigenetics and DNA Methylation (17 papers), Genetic Mapping and Diversity in Plants and Animals (16 papers), Bioinformatics and Genomic Networks (15 papers), Genetic and phenotypic traits in livestock (15 papers), Health disparities and outcomes (15 papers), Nutritional Studies and Diet (10 papers) and Birth, Development, and Health (10 papers). The work is most often cited by research in Aging (320 citations), Health (332 citations), Pediatrics, Perinatology and Child Health (750 citations), Physiology (966 citations) and Genetics (1.0k citations). Ching‐Ti Liu has collaborated with scholars based in United States, Taiwan and China. Frequent co-authors include Kurt Lohman, Morgan E. Levine, Lifang Hou, Yun Li, Alex P. Reiner, James D. Stewart, Luigi Ferrucci, Austin Quach, Stefania Bandinelli and Ake T. Lu. Their work appears in journals such as Journal of Bone and Mineral Research, Genetic Epidemiology, Human Molecular Genetics, Epigenetics and Statistics in Medicine.
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.