Tabitha C. Ting
Impact in
- Aging top 5%
- Nephrology top 5%
- Parathyroid Disorders and Treatments
Papers in
-
- Endoplasmic Reticulum Stress and Disease 3
- Surgery 3
- Cholesterol and Lipid Metabolism 2
- Co-authors
- Deepak Nijhawan (2 shared papers)Maria Goralski (2 shared papers)Jiwoong Kim (2 shared papers)Yang Xie (2 shared papers)Nicholas Gaskill (1 shared paper)Emanuela Capota (1 shared paper)Noelle S. Williams (1 shared paper)Makoto Miyazaki (5 shared papers)
- Journals
- Journal of Biological Chemistry (2 papers)Journal of Lipid Research (1 paper)Cell Reports (1 paper)Nature (1 paper)Circulation Research (1 paper)
- Partner nations
- United StatesJapanChina
In The Last Decade
Tabitha C. Ting
9 papers receiving 1.6k citations
Tabitha C. Ting's Hit Papers
Peers
Comparison fields: 5 of 104
- Aging 57
- Nephrology 118
- Geriatrics and Gerontology 50
- Epidemiology 440
- Molecular Biology 854
Countries citing papers authored by Tabitha C. Ting
This map shows the geographic impact of Tabitha C. 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 Tabitha C. Ting with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tabitha C. Ting more than expected).
Fields of papers citing papers by Tabitha C. Ting
This network shows the impact of papers produced by Tabitha C. 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 Tabitha C. Ting. The network helps show where Tabitha C. Ting may publish in the future.
Co-authors
The 25 scholars most cited alongside Tabitha C. 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
| # | Work | ||
|---|---|---|---|
| 1 | Anticancer sulfonamides target splicing by inducing RBM39 degradation via recruitment to DCAF15 Hit paper breakdown → | 2017 | 535 |
| 2 | Disruption of the beclin 1–BCL2 autophagy regulatory complex promotes longevity in mice Hit paper breakdown → | 2018 | 521 |
| 3 | 2017 | 137 | |
| 4 | 2013 | 108 | |
| 5 | 2019 | 94 | |
| 6 | 2010 | 79 | |
| 7 | 2012 | 49 | |
| 8 | 2011 | 36 | |
| 9 | 2011 | 31 |
About Tabitha C. Ting
Tabitha C. Ting is a scholar working on Cell Biology, Surgery, Molecular Biology, Epidemiology and Nephrology, having authored 9 papers that have together received 1.6k indexed citations. Recurring topics across this work include Endoplasmic Reticulum Stress and Disease (3 papers), Protein Degradation and Inhibitors (2 papers), Cholesterol and Lipid Metabolism (2 papers), Autophagy in Disease and Therapy (2 papers), RNA Research and Splicing (2 papers), Alzheimer's disease research and treatments (1 paper), Ubiquitin and proteasome pathways (1 paper) and Liver Disease Diagnosis and Treatment (1 paper). The work is most often cited by research in Aging (57 citations), Nephrology (118 citations), Geriatrics and Gerontology (50 citations), Epidemiology (440 citations) and Molecular Biology (854 citations). Tabitha C. Ting has collaborated with scholars based in United States, Japan and China. Frequent co-authors include Deepak Nijhawan, Maria Goralski, Jiwoong Kim, Yang Xie, Nicholas Gaskill, Emanuela Capota, Noelle S. Williams, Makoto Miyazaki, Shinobu Miyazaki‐Anzai and Moshe Levi. Their work appears in journals such as Journal of Biological Chemistry, Journal of Lipid Research, Cell Reports, Nature and Circulation Research.
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.