Kyle W. Jackson
Impact in
- Oncology top 0.5%
- Cancer Cells and Metastasis
- Cancer-related Molecular Pathways
- Cancer Research top 2%
- Cancer Genomics and Diagnostics
- MicroRNA in disease regulation
Papers in
- Oncology 5
- Cancer Cells and Metastasis 3
-
- Epigenetics and DNA Methylation 1
- Protein Degradation and Inhibitors 1
- Co-authors
- Max S. Wicha (3 shared papers)Gabriela Dontu (3 shared papers)Wissam Abdallah (2 shared papers)Mari Kawamura (2 shared papers)Michael F. Clarke (1 shared paper)Jessica Foley (1 shared paper)Shivani Patel (1 shared paper)Suling Liu (1 shared paper)
- Journals
- Oncotarget (2 papers)Cancer Research (2 papers)Transplantation (1 paper)Hypertension (1 paper)Clinical Cancer Research (1 paper)
- Partner nations
- United StatesGermany
In The Last Decade
Kyle W. Jackson
9 papers receiving 3.6k citations
Kyle W. Jackson's Hit Papers
Peers
Comparison fields: 5 of 99
- Oncology 2.4k
- Cancer Research 795
- Molecular Biology 2.2k
- Genetics 164
- Cell Biology 238
Countries citing papers authored by Kyle W. Jackson
This map shows the geographic impact of Kyle W. Jackson'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 Kyle W. Jackson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kyle W. Jackson more than expected).
Fields of papers citing papers by Kyle W. Jackson
This network shows the impact of papers produced by Kyle W. Jackson. 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 Kyle W. Jackson. The network helps show where Kyle W. Jackson may publish in the future.
Co-authors
The 25 scholars most cited alongside Kyle W. Jackson, 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 | In vitro propagation and transcriptional profiling of human mammary stem/progenitor cells Hit paper breakdown → | 2003 | 1952 |
| 2 | Hedgehog Signaling and Bmi-1 Regulate Self-renewal of Normal and Malignant Human Mammary Stem Cells Hit paper breakdown → | 2006 | 988 |
| 3 | Role of Notch signaling in cell-fate determination of human mammary stem/progenitor cells Hit paper breakdown → | 2004 | 575 |
| 4 | 2009 | 57 | |
| 5 | 2017 | 48 | |
| 6 | 2015 | 33 | |
| 7 | 2017 | 26 | |
| 8 | 2025 | 1 | |
| 9 | 2025 | 1 | |
| 10 | 2025 | 0 | |
| 11 | 2022 | 0 |
About Kyle W. Jackson
Kyle W. Jackson is a scholar working on Oncology, Molecular Biology, Pulmonary and Respiratory Medicine, Genetics and Cardiology and Cardiovascular Medicine, having authored 11 papers that have together received 3.7k indexed citations. Recurring topics across this work include Sarcoma Diagnosis and Treatment (3 papers), Cancer Cells and Metastasis (3 papers), Nitric Oxide and Endothelin Effects (1 paper), Epigenetics and DNA Methylation (1 paper), Cancer Genomics and Diagnostics (1 paper), Organ and Tissue Transplantation Research (1 paper), Animal Genetics and Reproduction (1 paper) and Protein Degradation and Inhibitors (1 paper). The work is most often cited by research in Oncology (2.4k citations), Cancer Research (795 citations), Molecular Biology (2.2k citations), Genetics (164 citations) and Cell Biology (238 citations). Kyle W. Jackson has collaborated with scholars based in United States and Germany. Frequent co-authors include Max S. Wicha, Gabriela Dontu, Wissam Abdallah, Mari Kawamura, Michael F. Clarke, Jessica Foley, Shivani Patel, Suling Liu, Prerna Suri and Ilia D. Mantle. Their work appears in journals such as Oncotarget, Cancer Research, Transplantation, Hypertension and Clinical 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.