Tabitha C. Ting
Impact in
- Aging top 5%
- Nephrology top 5%
- Parathyroid Disorders and Treatments
Papers in
- Surgery 4
- Cholesterol and Lipid Metabolism 2
- Pancreatic function and diabetes 1
-
- Protein Degradation and Inhibitors 2
- RNA Research and Splicing 2
- RNA regulation and disease 2
- Co-authors
- Maria Goralski (2 shared papers)Yang Xie (2 shared papers)Jiwoong Kim (2 shared papers)Deepak Nijhawan (2 shared papers)Emanuela Capota (1 shared paper)Noelle S. Williams (1 shared paper)Nicholas Gaskill (1 shared paper)Ting Han (1 shared paper)
- Journals
- Journal of Biological Chemistry (2 papers)Journal of Lipid Research (1 paper)Science (1 paper)PLoS Genetics (1 paper)Cell Reports (1 paper)
- Partner nations
- United StatesFranceChina
In The Last Decade
Tabitha C. Ting
9 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 100
- Aging 56
- Nephrology 119
- Epidemiology 451
- Molecular Biology 863
- Geriatrics and Gerontology 49
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 | 511 |
| 2 | Disruption of the beclin 1–BCL2 autophagy regulatory complex promotes longevity in mice Hit paper breakdown → | 2018 | 492 |
| 3 | 2017 | 126 | |
| 4 | 2013 | 104 | |
| 5 | 2019 | 90 | |
| 6 | 2010 | 77 | |
| 7 | 2012 | 48 | |
| 8 | 2011 | 36 | |
| 9 | 2011 | 30 |
About Tabitha C. Ting
Tabitha C. Ting is a scholar working on Surgery, Molecular Biology, Cell Biology, Epidemiology and Oncology, having authored 9 papers that have together received 1.5k 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), RNA Research and Splicing (2 papers), RNA regulation and disease (2 papers), Autophagy in Disease and Therapy (2 papers), Pancreatic function and diabetes (1 paper) and Alzheimer's disease research and treatments (1 paper). The work is most often cited by research in Aging (56 citations), Nephrology (119 citations), Epidemiology (451 citations), Molecular Biology (863 citations) and Geriatrics and Gerontology (49 citations). Tabitha C. Ting has collaborated with scholars based in United States, France and China. Frequent co-authors include Maria Goralski, Yang Xie, Jiwoong Kim, Deepak Nijhawan, Emanuela Capota, Noelle S. Williams, Nicholas Gaskill, Ting Han, Makoto Miyazaki and Shinobu Miyazaki‐Anzai. Their work appears in journals such as Journal of Biological Chemistry, Journal of Lipid Research, Science, PLoS Genetics and Cell Reports.
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.