Tyler Jacks
Impact in
- Cancer Research top 0.01%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Cancer, Hypoxia, and Metabolism
- Oncology top 0.01%
- Cancer-related Molecular Pathways
Papers in
-
- Epigenetics and DNA Methylation 41
- RNA modifications and cancer 30
- Oncology 168
- Cancer-related Molecular Pathways 109
- Cancer Cells and Metastasis 24
- Co-authors
- Roderick T. Bronson (51 shared papers)Scott W. Lowe (11 shared papers)Denise Crowley (31 shared papers)Earlene M. Schmitt (6 shared papers)David E. Housman (5 shared papers)David A. Tuveson (20 shared papers)Robert A. Weinberg (8 shared papers)H. Earl Ruley (4 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (32 papers)Nature (29 papers)Genes & Development (26 papers)Cell (24 papers)Cancer Research (17 papers)
- Partner nations
- United StatesNetherlandsUnited Kingdom
In The Last Decade
Tyler Jacks
348 papers receiving 90.0k citations
Tyler Jacks's Hit Papers
Peers
Comparison fields: 5 of 196
- Cancer Research 25.5k
- Oncology 33.5k
- Molecular Biology 57.7k
- Biotechnology 6.1k
- Cell Biology 7.1k
Countries citing papers authored by Tyler Jacks
This map shows the geographic impact of Tyler Jacks'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 Tyler Jacks with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tyler Jacks more than expected).
Fields of papers citing papers by Tyler Jacks
This network shows the impact of papers produced by Tyler Jacks. 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 Tyler Jacks. The network helps show where Tyler Jacks may publish in the future.
Co-authors
The 25 scholars most cited alongside Tyler Jacks, 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 351 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | MicroRNA expression profiles classify human cancers Hit paper breakdown → | 2005 | 8170 |
| 2 | Chromatin signature reveals over a thousand highly conserved large non-coding RNAs in mammals Hit paper breakdown → | 2009 | 3422 |
| 3 | A mammalian cell cycle checkpoint pathway utilizing p53 and GADD45 is defective in ataxia-telangiectasia Hit paper breakdown → | 1992 | 2754 |
| 4 | p53-dependent apoptosis modulates the cytotoxicity of anticancer agents Hit paper breakdown → | 1993 | 2644 |
| 5 | p53 is required for radiation-induced apoptosis in mouse thymocytes Hit paper breakdown → | 1993 | 2600 |
| 6 | Hypoxia-mediated selection of cells with diminished apoptotic potential in solid tumours Hit paper breakdown → | 1996 | 2046 |
| 7 | Preinvasive and invasive ductal pancreatic cancer and its early detection in the mouse Hit paper breakdown → | 2003 | 1853 |
| 8 | Identification of Bronchioalveolar Stem Cells in Normal Lung and Lung Cancer Hit paper breakdown → | 2005 | 1771 |
| 9 | A Large Intergenic Noncoding RNA Induced by p53 Mediates Global Gene Repression in the p53 Response Hit paper breakdown → | 2010 | 1763 |
| 10 | Tumor spectrum analysis in p53-mutant mice Hit paper breakdown → | 1994 | 1742 |
| 11 | Effects of an Rb mutation in the mouse Hit paper breakdown → | 1992 | 1551 |
| 12 | Restoration of p53 function leads to tumour regression in vivo Hit paper breakdown → | 2007 | 1464 |
| 13 | Analysis of lung tumor initiation and progression using conditional expression of oncogenic K-ras Hit paper breakdown → | 2001 | 1450 |
| 14 | Targeted Deletion Reveals Essential and Overlapping Functions of the miR-17∼92 Family of miRNA Clusters Hit paper breakdown → | 2008 | 1346 |
| 15 | p53 Status and the Efficacy of Cancer Therapy in Vivo Hit paper breakdown → | 1994 | 1311 |
| 16 | Sunburn and p53 in the onset of skin cancer Hit paper breakdown → | 1994 | 1291 |
| 17 | Altered cell cycle arrest and gene amplification potential accompany loss of wild-type p53 Hit paper breakdown → | 1992 | 1220 |
| 18 | Radiation-induced cell cycle arrest compromised by p21 deficiency Hit paper breakdown → | 1995 | 1088 |
| 19 | Treating metastatic cancer with nanotechnology Hit paper breakdown → | 2011 | 1016 |
| 20 | Mutant p53 Gain of Function in Two Mouse Models of Li-Fraumeni Syndrome Hit paper breakdown → | 2004 | 1009 |
About Tyler Jacks
Tyler Jacks is a scholar working on Molecular Biology, Oncology, Cancer Research, Biotechnology and Immunology, having authored 351 papers that have together received 92.4k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (109 papers), Cancer Research and Treatments (44 papers), Epigenetics and DNA Methylation (41 papers), Neurofibromatosis and Schwannoma Cases (30 papers), RNA modifications and cancer (30 papers), Cancer Cells and Metastasis (24 papers), Cancer Genomics and Diagnostics (24 papers) and Cancer, Hypoxia, and Metabolism (21 papers). The work is most often cited by research in Cancer Research (25.5k citations), Oncology (33.5k citations), Molecular Biology (57.7k citations), Biotechnology (6.1k citations) and Cell Biology (7.1k citations). Tyler Jacks has collaborated with scholars based in United States, Netherlands and United Kingdom. Frequent co-authors include Roderick T. Bronson, Scott W. Lowe, Denise Crowley, Earlene M. Schmitt, David E. Housman, David A. Tuveson, Robert A. Weinberg, H. Earl Ruley, Bart O. Williams and Lee Ann Remington. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature, Genes & Development, Cell and Cancer 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.