Tsui‐Ting Ching
Impact in
- Aging top 0.5%
- Genetics, Aging, and Longevity in Model Organisms
- Pharmacology top 2%
- Inflammatory mediators and NSAID effects
Papers in
- Aging 19
- Genetics, Aging, and Longevity in Model Organisms 19
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- Calcium signaling and nucleotide metabolism 2
- Co-authors
- Ao‐Lin Hsu (20 shared papers)Ching‐Shih Chen (7 shared papers)Da-Sheng Wang (4 shared papers)Vivek M. Rangnekar (1 shared paper)Xueqin Song (1 shared paper)Joseph Costello (2 shared papers)Scott R. VandenBerg (1 shared paper)Benoît Cadieux (1 shared paper)
- Journals
- Journal of Biological Chemistry (7 papers)Aging Cell (5 papers)Science Advances (2 papers)Journal of Visualized Experiments (2 papers)Analytical Biochemistry (1 paper)
- Partner nations
- United StatesTaiwanChina
In The Last Decade
Tsui‐Ting Ching
30 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 91
- Aging 346
- Pharmacology 349
- Genetics 101
- Molecular Biology 584
- Immunology and Allergy 43
Countries citing papers authored by Tsui‐Ting Ching
This map shows the geographic impact of Tsui‐Ting Ching'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 Tsui‐Ting Ching with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tsui‐Ting Ching more than expected).
Fields of papers citing papers by Tsui‐Ting Ching
This network shows the impact of papers produced by Tsui‐Ting Ching. 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 Tsui‐Ting Ching. The network helps show where Tsui‐Ting Ching may publish in the future.
Co-authors
The 25 scholars most cited alongside Tsui‐Ting Ching, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 609 | |
| 2 | 2006 | 196 | |
| 3 | 2012 | 188 | |
| 4 | 2005 | 126 | |
| 5 | 2003 | 98 | |
| 6 | 2001 | 78 | |
| 7 | 2012 | 56 | |
| 8 | 2000 | 52 | |
| 9 | 2010 | 47 | |
| 10 | 2011 | 44 | |
| 11 | 2013 | 40 | |
| 12 | 2020 | 35 | |
| 13 | 2015 | 30 | |
| 14 | 2020 | 26 | |
| 15 | 2020 | 25 | |
| 16 | 2022 | 23 | |
| 17 | 1999 | 21 | |
| 18 | 2021 | 21 | |
| 19 | 2001 | 19 | |
| 20 | 2011 | 15 |
About Tsui‐Ting Ching
Tsui‐Ting Ching is a scholar working on Aging, Physiology, Sensory Systems, Biochemistry and Molecular Biology, having authored 30 papers that have together received 1.8k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (19 papers), Protein Kinase Regulation and GTPase Signaling (4 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Epigenetics and DNA Methylation (2 papers), Calcium signaling and nucleotide metabolism (2 papers), Lipid metabolism and biosynthesis (2 papers), Ion Channels and Receptors (2 papers) and Inflammatory mediators and NSAID effects (1 paper). The work is most often cited by research in Aging (346 citations), Pharmacology (349 citations), Genetics (101 citations), Molecular Biology (584 citations) and Immunology and Allergy (43 citations). Tsui‐Ting Ching has collaborated with scholars based in United States, Taiwan and China. Frequent co-authors include Ao‐Lin Hsu, Ching‐Shih Chen, Da-Sheng Wang, Vivek M. Rangnekar, Xueqin Song, Joseph Costello, Scott R. VandenBerg, Benoît Cadieux, Wei‐Chung Chiang and Carol A. Mousigian. Their work appears in journals such as Journal of Biological Chemistry, Aging Cell, Science Advances, Journal of Visualized Experiments and Analytical Biochemistry.
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.