Tom H. Cheung
- Aging top 0.5%
- Genetics top 2%
- Mesenchymal stem cell research 6
- Molecular Biology top 2%
- Muscle Physiology and Disorders 24
- RNA Research and Splicing 8
- Genomics and Chromatin Dynamics 6
- Pluripotent Stem Cells Research 5
- RNA modifications and cancer 5
- Physiology top 2%
- Telomeres, Telomerase, and Senescence 12
- Cancer Research top 5%
-
- Tissue Engineering and Regenerative Medicine 4
- Co-authors
- Thomas A. RandoLing LiuGregory W. CharvilleBryan YooChristopher R.R. BjornsonPinky TripathiNancy Y. IpAnne Brunet
- Cited by
- AgingGeneticsMolecular Biology
- Journals
- Nature (3 papers)Proceedings of the National Academy of Sciences (4 papers)Journal of Biological Chemistry (1 paper)
- Partner nations
- Hong KongUnited StatesChina
In The Last Decade
Tom H. Cheung
53 papers receiving 4.5k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Aging 368
- Genetics 575
- Molecular Biology 3.4k
- Physiology 974
- Cancer Research 563
Countries citing papers authored by Tom H. Cheung
This map shows the geographic impact of Tom H. Cheung'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 Tom H. Cheung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tom H. Cheung more than expected).
Fields of papers citing papers by Tom H. Cheung
This network shows the impact of papers produced by Tom H. Cheung. 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 Tom H. Cheung. The network helps show where Tom H. Cheung may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tom H. Cheung, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2022 | 10 | |
| 3 | 2021 | 7 | |
| 4 | 2020 | 32 | |
| 5 | 2020 | 80 | |
| 6 | 2020 | 68 | |
| 7 | 2018 | 113 | |
| 8 | 2017 | 27 | |
| 9 | 2017 | 34 | |
| 10 | 2017 | 48 | |
| 11 | 2016 | 294 | |
| 12 | 2016 | 102 | |
| 13 | 2015 | 156 | |
| 14 | 2015 | 267 | |
| 15 | Molecular regulation of stem cell quiescencebreakdown → | 2013 | 810 |
| 16 | 2013 | 392 | |
| 17 | 2012 | 124 | |
| 18 | 2012 | 379 | |
| 19 | 2006 | 12 | |
| 20 | 2004 | 23 |
About Tom H. Cheung
Tom H. Cheung is a scholar working on Aging, Genetics and Molecular Biology, having authored 53 papers that have together received 4.5k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (24 papers), Telomeres, Telomerase, and Senescence (12 papers), RNA Research and Splicing (8 papers), Genomics and Chromatin Dynamics (6 papers), Mesenchymal stem cell research (6 papers), Pluripotent Stem Cells Research (5 papers), RNA modifications and cancer (5 papers) and Tissue Engineering and Regenerative Medicine (4 papers). The work is most often cited by research in Aging (368 citations), Genetics (575 citations) and Molecular Biology (3.4k citations). Tom H. Cheung has collaborated with scholars based in Hong Kong, United States and China. Frequent co-authors include Thomas A. Rando, Ling Liu, Gregory W. Charville, Bryan Yoo, Christopher R.R. Bjornson, Pinky Tripathi, Nancy Y. Ip, Anne Brunet, Johnathan Shih and Tripp Leavitt. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.