Julia E. Prescott
Impact in
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- Cancer, Hypoxia, and Metabolism
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- Epigenetics and DNA Methylation
- Ubiquitin and proteasome pathways
- RNA modifications and cancer
- Mitochondrial Function and Pathology
- Cancer-related gene regulation
- Genomics and Chromatin Dynamics
Papers in
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- Ubiquitin and proteasome pathways 3
- Cancer-related gene regulation 2
- DNA Repair Mechanisms 1
- Oncology 4
- Cancer-related Molecular Pathways 4
- Co-authors
- Chi V. Dang (5 shared papers)Karen Zeller (1 shared paper)E Emison (1 shared paper)Sunkyu Kim (1 shared paper)Linda Resar (1 shared paper)Qing Li (1 shared paper)Diane R. Wonsey (1 shared paper)Brian C. Lewis (2 shared papers)
- Journals
- Cold Spring Harbor Symposia on Quantitative Biology (1 paper)Journal of Biological Chemistry (1 paper)BMC Genomics (1 paper)Molecular and Cellular Biology (1 paper)Cancer Cell (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Julia E. Prescott
9 papers receiving 651 citations
Peers
Comparison fields: 5 of 71
- Cancer Research 136
- Molecular Biology 485
- Oncology 177
- Cell Biology 45
- Immunology 53
Countries citing papers authored by Julia E. Prescott
This map shows the geographic impact of Julia E. Prescott'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 Julia E. Prescott with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julia E. Prescott more than expected).
Fields of papers citing papers by Julia E. Prescott
This network shows the impact of papers produced by Julia E. Prescott. 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 Julia E. Prescott. The network helps show where Julia E. Prescott may publish in the future.
Co-authors
The 25 scholars most cited alongside Julia E. Prescott, 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 | 1999 | 318 | |
| 2 | Tumor induction by the c-Myc target genes rcl and lactate dehydrogenase A. | 2000 | 85 |
| 3 | 1996 | 57 | |
| 4 | 2001 | 55 | |
| 5 | 2005 | 53 | |
| 6 | 2008 | 41 | |
| 7 | 2006 | 34 | |
| 8 | 2005 | 14 | |
| 9 | PCI-27483, a small molecule inhibitor of factor VIIa, inhibits tumor growth in vivo. | 2007 | 1 |
About Julia E. Prescott
Julia E. Prescott is a scholar working on Molecular Biology, Oncology, Hematology, Pathology and Forensic Medicine and Public Health, Environmental and Occupational Health, having authored 9 papers that have together received 658 indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (4 papers), Ubiquitin and proteasome pathways (3 papers), Cancer-related gene regulation (2 papers), Acute Myeloid Leukemia Research (1 paper), Cancer Mechanisms and Therapy (1 paper), Acute Lymphoblastic Leukemia research (1 paper), DNA Repair Mechanisms (1 paper) and Hemophilia Treatment and Research (1 paper). The work is most often cited by research in Cancer Research (136 citations), Molecular Biology (485 citations), Oncology (177 citations), Cell Biology (45 citations) and Immunology (53 citations). Julia E. Prescott has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Chi V. Dang, Karen Zeller, E Emison, Sunkyu Kim, Linda Resar, Qing Li, Diane R. Wonsey, Brian C. Lewis, Hyunsuk Shim and Robert Z. Orlowski. Their work appears in journals such as Cold Spring Harbor Symposia on Quantitative Biology, Journal of Biological Chemistry, BMC Genomics, Molecular and Cellular Biology and Cancer Cell.
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.