David Tsai Ting
Impact in
- Cancer Research top 0.2%
- Cancer Genomics and Diagnostics
- Oncology top 0.1%
- Cancer Cells and Metastasis
- Pancreatic and Hepatic Oncology Research
Papers in
- Oncology 80
- Cancer Cells and Metastasis 34
- Pancreatic and Hepatic Oncology Research 32
- Cancer Immunotherapy and Biomarkers 10
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- Cancer Genomics and Diagnostics 26
- Cancer-related molecular mechanisms research 7
- Co-authors
- Daniel A. Haber (24 shared papers)Shyamala Maheswaran (21 shared papers)Mehmet Toner (15 shared papers)Shannon L. Stott (9 shared papers)Ben S. Wittner (13 shared papers)Sridhar Ramaswamy (10 shared papers)Min A Yu (3 shared papers)Aditya Bardia (3 shared papers)
- Journals
- Clinical Cancer Research (9 papers)Nature Communications (9 papers)Proceedings of the National Academy of Sciences (8 papers)Cell Reports (8 papers)Cancer Discovery (7 papers)
- Partner nations
- United StatesNetherlandsCanada
In The Last Decade
David Tsai Ting
155 papers receiving 18.3k citations
David Tsai Ting's Hit Papers
Peers
Comparison fields: 5 of 160
- Cancer Research 5.8k
- Oncology 9.3k
- Molecular Biology 6.8k
- Pulmonary and Respiratory Medicine 2.5k
- Immunology 1.5k
Countries citing papers authored by David Tsai Ting
This map shows the geographic impact of David Tsai 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 David Tsai Ting with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Tsai Ting more than expected).
Fields of papers citing papers by David Tsai Ting
This network shows the impact of papers produced by David Tsai 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 David Tsai Ting. The network helps show where David Tsai Ting may publish in the future.
Co-authors
The 25 scholars most cited alongside David Tsai 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
Showing the 20 most-cited of 163 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Circulating Breast Tumor Cells Exhibit Dynamic Changes in Epithelial and Mesenchymal Composition Hit paper breakdown → | 2013 | 2095 |
| 2 | Circulating Tumor Cell Clusters Are Oligoclonal Precursors of Breast Cancer Metastasis Hit paper breakdown → | 2014 | 2001 |
| 3 | Inertial Focusing for Tumor Antigen–Dependent and –Independent Sorting of Rare Circulating Tumor Cells Hit paper breakdown → | 2013 | 936 |
| 4 | Ex vivo culture of circulating breast tumor cells for individualized testing of drug susceptibility Hit paper breakdown → | 2014 | 794 |
| 5 | Radiological and Surgical Implications of Neoadjuvant Treatment With FOLFIRINOX for Locally Advanced and Borderline Resectable Pancreatic Cancer Hit paper breakdown → | 2014 | 679 |
| 6 | A microfluidic device for label-free, physical capture of circulating tumor cell clusters Hit paper breakdown → | 2015 | 622 |
| 7 | RNA-Seq of single prostate CTCs implicates noncanonical Wnt signaling in antiandrogen resistance Hit paper breakdown → | 2015 | 599 |
| 8 | Total Neoadjuvant Therapy With FOLFIRINOX in Combination With Losartan Followed by Chemoradiotherapy for Locally Advanced Pancreatic Cancer Hit paper breakdown → | 2019 | 444 |
| 9 | 2012 | 424 | |
| 10 | 2014 | 424 | |
| 11 | 2011 | 422 | |
| 12 | Stromal Microenvironment Shapes the Intratumoral Architecture of Pancreatic Cancer Hit paper breakdown → | 2019 | 420 |
| 13 | Liquid versus tissue biopsy for detecting acquired resistance and tumor heterogeneity in gastrointestinal cancers Hit paper breakdown → | 2019 | 403 |
| 14 | 2016 | 335 | |
| 15 | 2014 | 329 | |
| 16 | TAS-120 Overcomes Resistance to ATP-Competitive FGFR Inhibitors in Patients with FGFR2 Fusion–Positive Intrahepatic Cholangiocarcinoma Hit paper breakdown → | 2019 | 318 |
| 17 | 2018 | 289 | |
| 18 | Single-nucleus and spatial transcriptome profiling of pancreatic cancer identifies multicellular dynamics associated with neoadjuvant treatment Hit paper breakdown → | 2022 | 273 |
| 19 | 2020 | 271 | |
| 20 | 2001 | 266 |
About David Tsai Ting
David Tsai Ting is a scholar working on Oncology, Cancer Research, Molecular Biology, Immunology and Hepatology, having authored 163 papers that have together received 18.6k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (34 papers), Pancreatic and Hepatic Oncology Research (32 papers), Cancer Genomics and Diagnostics (26 papers), RNA modifications and cancer (12 papers), Cancer Immunotherapy and Biomarkers (10 papers), Single-cell and spatial transcriptomics (10 papers), Cancer-related molecular mechanisms research (7 papers) and 3D Printing in Biomedical Research (7 papers). The work is most often cited by research in Cancer Research (5.8k citations), Oncology (9.3k citations), Molecular Biology (6.8k citations), Pulmonary and Respiratory Medicine (2.5k citations) and Immunology (1.5k citations). David Tsai Ting has collaborated with scholars based in United States, Netherlands and Canada. Frequent co-authors include Daniel A. Haber, Shyamala Maheswaran, Mehmet Toner, Shannon L. Stott, Ben S. Wittner, Sridhar Ramaswamy, Min A Yu, Aditya Bardia, Maria Donaldson Collier and Brian W. Brannigan. Their work appears in journals such as Clinical Cancer Research, Nature Communications, Proceedings of the National Academy of Sciences, Cell Reports and Cancer Discovery.
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.