Tina Davis
- Rehabilitation top 2%
- Hematology top 5%
- Acute Myeloid Leukemia Research 2
- Molecular Biology top 10%
- Protein Degradation and Inhibitors 3
- Cancer-related gene regulation 3
- Epigenetics and DNA Methylation 2
- Reproductive Medicine top 10%
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- Cancer, Hypoxia, and Metabolism 4
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- Cancer Research and Treatments 3
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- Virus-based gene therapy research 2
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- CAR-T cell therapy research 2
- Co-authors
- Andrew L. KungJames E. BradnerRaymond E. MoelleringCristina Del BiancoD. Gary GillilandGregory L. VerdineJon C. AsterStephen C. Blacklow
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Tina Davis
20 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 101
- Rehabilitation 198
- Hematology 269
- Molecular Biology 1.0k
- Reproductive Medicine 95
- Cancer Research 121
Countries citing papers authored by Tina Davis
This map shows the geographic impact of Tina Davis'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 Tina Davis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tina Davis more than expected).
Fields of papers citing papers by Tina Davis
This network shows the impact of papers produced by Tina Davis. 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 Tina Davis. The network helps show where Tina Davis may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tina Davis, 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 | 2022 | 3 | |
| 2 | 2020 | 1 | |
| 3 | 2020 | 5 | |
| 4 | 2018 | 2 | |
| 5 | 2017 | 4 | |
| 6 | 2015 | 59 | |
| 7 | 2015 | 1 | |
| 8 | 2013 | 42 | |
| 9 | 2011 | 90 | |
| 10 | 2011 | 80 | |
| 11 | 2010 | 3 | |
| 12 | 2009 | 120 | |
| 13 | 2009 | 42 | |
| 14 | Direct inhibition of the NOTCH transcription factor complexbreakdown → | 2009 | 619 |
| 15 | 2009 | 4 | |
| 16 | 2009 | 28 | |
| 17 | 2008 | 234 | |
| 18 | 2007 | 44 | |
| 19 | 1998 | 227 | |
| 20 | The gene therapy of cancer: transgenic immunotherapy. | 1993 | 7 |
About Tina Davis
Tina Davis is a scholar working on Biotechnology, Hematology, Cancer Research, Obstetrics and Gynecology and Reproductive Medicine, having authored 20 papers that have together received 1.6k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (4 papers), Cancer Research and Treatments (3 papers), Protein Degradation and Inhibitors (3 papers), Cancer-related gene regulation (3 papers), Virus-based gene therapy research (2 papers), Acute Myeloid Leukemia Research (2 papers), CAR-T cell therapy research (2 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Rehabilitation (198 citations), Hematology (269 citations), Molecular Biology (1.0k citations), Reproductive Medicine (95 citations) and Cancer Research (121 citations). Tina Davis has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Andrew L. Kung, James E. Bradner, Raymond E. Moellering, Cristina Del Bianco, D. Gary Gilliland, Gregory L. Verdine, Jon C. Aster, Stephen C. Blacklow, Melanie Cornejo and François Béthoux. Their work appears in journals such as Blood, Cancer Research, Cancer Cell, Clinical Cancer Research and Radiation Oncology.
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.