Tabitha C. Ting

2.0k total citations · 2 hit papers
9 papers, 1.5k citations indexed

About

Tabitha C. Ting is a scholar working on Surgery, Molecular Biology and Cell Biology. According to data from OpenAlex, Tabitha C. Ting has authored 9 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Surgery, 4 papers in Molecular Biology and 4 papers in Cell Biology. Recurrent topics in Tabitha C. Ting's work include Endoplasmic Reticulum Stress and Disease (3 papers), Autophagy in Disease and Therapy (2 papers) and Cholesterol and Lipid Metabolism (2 papers). Tabitha C. Ting is often cited by papers focused on Endoplasmic Reticulum Stress and Disease (3 papers), Autophagy in Disease and Therapy (2 papers) and Cholesterol and Lipid Metabolism (2 papers). Tabitha C. Ting collaborates with scholars based in United States, France and China. Tabitha C. Ting's co-authors include Deepak Nijhawan, Jiwoong Kim, Yang Xie, Maria Goralski, Nicholas Gaskill, Emanuela Capota, Ting Han, Noelle S. Williams, Makoto Miyazaki and Shinobu Miyazaki‐Anzai and has published in prestigious journals such as Nature, Science and Journal of Biological Chemistry.

In The Last Decade

Tabitha C. Ting

9 papers receiving 1.5k citations

Hit Papers

Anticancer sulfonamides target splicing by inducing RBM39... 2017 2026 2020 2023 2017 2018 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Tabitha C. Ting United States 9 863 451 211 174 158 9 1.5k
Md. Joynal Abedin United States 16 746 0.9× 366 0.8× 169 0.8× 122 0.7× 92 0.6× 29 1.6k
Dian J. Cao United States 14 924 1.1× 323 0.7× 147 0.7× 120 0.7× 116 0.7× 19 1.5k
Susan C. Kiley United States 23 1.2k 1.4× 126 0.3× 221 1.0× 240 1.4× 123 0.8× 36 1.9k
Yuan Zhou China 22 490 0.6× 249 0.6× 166 0.8× 65 0.4× 102 0.6× 58 1.2k
Janet Koster Netherlands 24 2.2k 2.5× 279 0.6× 211 1.0× 190 1.1× 331 2.1× 44 2.7k
Christina Glytsou United States 8 1.3k 1.5× 203 0.5× 89 0.4× 115 0.7× 200 1.3× 13 1.7k
Hanzhi Luo United States 13 979 1.1× 245 0.5× 115 0.5× 90 0.5× 226 1.4× 18 1.5k
Yue Han China 22 843 1.0× 127 0.3× 89 0.4× 167 1.0× 103 0.7× 52 1.4k
Yukihiro Hayakawa Japan 11 1.2k 1.4× 351 0.8× 119 0.6× 217 1.2× 126 0.8× 14 1.9k

Countries citing papers authored by Tabitha C. Ting

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Tabitha C. Ting

This figure shows the co-authorship network connecting the top 25 collaborators of Tabitha C. Ting. A scholar is included among the top collaborators of Tabitha C. Ting based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tabitha C. Ting. Tabitha C. Ting is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Ting, Tabitha C., Maria Goralski, Katherine Klein, et al.. (2019). Aryl Sulfonamides Degrade RBM39 and RBM23 by Recruitment to CRL4-DCAF15. Cell Reports. 29(6). 1499–1510.e6. 90 indexed citations
2.
Fernández, Álvaro F., Salwa Sebti, Yongjie Wei, et al.. (2018). Disruption of the beclin 1–BCL2 autophagy regulatory complex promotes longevity in mice. Nature. 558(7708). 136–140. 492 indexed citations breakdown →
3.
Han, Ting, Maria Goralski, Nicholas Gaskill, et al.. (2017). Anticancer sulfonamides target splicing by inducing RBM39 degradation via recruitment to DCAF15. Science. 356(6336). 511 indexed citations breakdown →
4.
Rocchi, Altea, Soh Yamamoto, Tabitha C. Ting, et al.. (2017). A Becn1 mutation mediates hyperactive autophagic sequestration of amyloid oligomers and improved cognition in Alzheimer's disease. PLoS Genetics. 13(8). e1006962–e1006962. 126 indexed citations
5.
Masuda, Masashi, Shinobu Miyazaki‐Anzai, Moshe Levi, Tabitha C. Ting, & Makoto Miyazaki. (2013). PERK‐eIF2α‐ATF4‐CHOP Signaling Contributes to TNFα‐Induced Vascular Calcification. Journal of the American Heart Association. 2(5). e000238–e000238. 104 indexed citations
6.
Masuda, Masashi, et al.. (2012). Activating transcription factor 4 regulates stearate-induced vascular calcification. Journal of Lipid Research. 53(8). 1543–1552. 48 indexed citations
7.
Ting, Tabitha C., Shinobu Miyazaki‐Anzai, Masashi Masuda, et al.. (2011). Increased Lipogenesis and Stearate Accelerate Vascular Calcification in Calcifying Vascular Cells. Journal of Biological Chemistry. 286(27). 23938–23949. 36 indexed citations
8.
Hsu, Jeffrey J., Jinxiu Lu, Tabitha C. Ting, et al.. (2011). Role of Cellular Cholesterol Metabolism in Vascular Cell Calcification. Journal of Biological Chemistry. 286(38). 33701–33706. 30 indexed citations
9.
Miyazaki‐Anzai, Shinobu, Moshe Levi, Adelheid Kratzer, et al.. (2010). Farnesoid X Receptor Activation Prevents the Development of Vascular Calcification in ApoE −/− Mice With Chronic Kidney Disease. Circulation Research. 106(12). 1807–1817. 77 indexed citations

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.

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