Daniel Weekes
Impact in
- Oncology top 10%
- Cancer-related Molecular Pathways
- PARP inhibition in cancer therapy
- Peptidase Inhibition and Analysis
- Molecular Biology top 10%
- Ubiquitin and proteasome pathways
- DNA Repair Mechanisms
- CRISPR and Genetic Engineering
- Genomics and Chromatin Dynamics
Papers in ⓘ
-
- DNA Repair Mechanisms 7
- Ubiquitin and proteasome pathways 3
- Fibroblast Growth Factor Research 2
- Advanced biosensing and bioanalysis techniques 1
- Kruppel-like factors research 1
- 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)Tai Kiuchi (1 shared paper)Matthias Epple (2 shared papers)Laurent Pangon (2 shared papers)Yaron Galanty (2 shared papers)Ellen Solomon (1 shared paper)
- Journals
- Oncogene (3 papers)Human Mutation (1 paper)Nature Cell Biology (1 paper)The EMBO Journal (1 paper)Breast Cancer Research (1 paper)
- Partner nations
- United KingdomUnited StatesSpain
In The Last Decade
Daniel Weekes
14 papers receiving 880 citations
Peers
Comparison fields: 5 of 75
- Oncology 339
- Molecular Biology 789
- Cancer Research 104
- Cell Biology 69
- Genetics 109
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 | 339 | |
| 2 | 2012 | 132 | |
| 3 | 2022 | 92 | |
| 4 | 2013 | 82 | |
| 5 | 2012 | 80 | |
| 6 | 2015 | 56 | |
| 7 | 2005 | 42 | |
| 8 | 2006 | 31 | |
| 9 | 2010 | 16 | |
| 10 | 2022 | 9 | |
| 11 | 2021 | 6 | |
| 12 | 2010 | 2 | |
| 13 | 2008 | 1 | |
| 14 | 2018 | 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 889 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (7 papers), Cancer-related Molecular Pathways (4 papers), PARP inhibition in cancer therapy (3 papers), Ubiquitin and proteasome pathways (3 papers), Fibroblast Growth Factor Research (2 papers), Advanced biosensing and bioanalysis techniques (1 paper), Cancer Genomics and Diagnostics (1 paper) and Kruppel-like factors research (1 paper). The work is most often cited by research in Oncology (339 citations), Molecular Biology (789 citations), Cancer Research (104 citations), Cell Biology (69 citations) and Genetics (109 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, Tai Kiuchi, Matthias Epple, Laurent Pangon, Yaron Galanty, Ellen Solomon, Chris Boutell and Tony Ng. Their work appears in journals such as Oncogene, Human Mutation, Nature Cell Biology, The EMBO Journal 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.