Daniel Weekes
Impact in
- Oncology top 10%
- Cancer-related Molecular Pathways
- PARP inhibition in cancer therapy
- Molecular Biology top 10%
- Ubiquitin and proteasome pathways
- DNA Repair Mechanisms
- CRISPR and Genetic Engineering
- Genomics and Chromatin Dynamics
- FOXO transcription factor regulation
Papers in
-
- DNA Repair Mechanisms 7
- Ubiquitin and proteasome pathways 3
- Fibroblast Growth Factor Research 2
- Oncology 8
- Cancer-related Molecular Pathways 4
- PARP inhibition in cancer therapy 3
- Co-authors
- Joanna R. Morris (4 shared papers)Ruth M. Densham (4 shared papers)Laura Butler (3 shared papers)Matthias Epple (2 shared papers)Chris Boutell (2 shared papers)Tony Ng (2 shared papers)Yaron Galanty (2 shared papers)Laurent Pangon (2 shared papers)
- Journals
- Oncogene (3 papers)Molecular Cell (1 paper)EMBO Reports (1 paper)Nature (1 paper)Breast Cancer Research (1 paper)
- Partner nations
- United KingdomUnited StatesSpain
In The Last Decade
Daniel Weekes
14 papers receiving 919 citations
Peers
Comparison fields: 5 of 76
- Oncology 326
- Molecular Biology 792
- Cancer Research 98
- Cell Biology 74
- Genetics 115
Countries citing papers authored by Daniel Weekes
This map shows the geographic impact of Daniel Weekes'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 Daniel Weekes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Weekes more than expected).
Fields of papers citing papers by Daniel Weekes
This network shows the impact of papers produced by Daniel Weekes. 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 Daniel Weekes. The network helps show where Daniel Weekes may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Weekes, 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 | 2009 | 353 | |
| 2 | 2012 | 135 | |
| 3 | 2022 | 101 | |
| 4 | 2013 | 85 | |
| 5 | 2012 | 83 | |
| 6 | 2015 | 59 | |
| 7 | 2005 | 42 | |
| 8 | 2006 | 34 | |
| 9 | 2010 | 16 | |
| 10 | 2022 | 9 | |
| 11 | 2021 | 8 | |
| 12 | 2010 | 2 | |
| 13 | 2018 | 1 | |
| 14 | 2008 | 1 |
About Daniel Weekes
Daniel Weekes is a scholar working on Molecular Biology, Oncology, Geriatrics and Gerontology, Ophthalmology and Radiology, Nuclear Medicine and Imaging, having authored 14 papers that have together received 929 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (7 papers), Cancer-related Molecular Pathways (4 papers), Ubiquitin and proteasome pathways (3 papers), PARP inhibition in cancer therapy (3 papers), Fibroblast Growth Factor Research (2 papers), Acute Myeloid Leukemia Research (1 paper), Cancer Genomics and Diagnostics (1 paper) and Genetics and Neurodevelopmental Disorders (1 paper). The work is most often cited by research in Oncology (326 citations), Molecular Biology (792 citations), Cancer Research (98 citations), Cell Biology (74 citations) and Genetics (115 citations). Daniel Weekes has collaborated with scholars based in United Kingdom, United States and Spain. Frequent co-authors include Joanna R. Morris, Ruth M. Densham, Laura Butler, Matthias Epple, Chris Boutell, Tony Ng, Yaron Galanty, Laurent Pangon, Ellen Solomon and Tai Kiuchi. Their work appears in journals such as Oncogene, Molecular Cell, EMBO Reports, Nature and Breast 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.