Daniel Williamson
Impact in
- Genetics top 0.5%
- Glioma Diagnosis and Treatment
- Cancer Research top 5%
- Cancer Genomics and Diagnostics
Papers in
- Genetics 29
- Glioma Diagnosis and Treatment 29
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- Sarcoma Diagnosis and Treatment 8
- Co-authors
- Steven C. Clifford (18 shared papers)Simon R. Bailey (14 shared papers)Ed C. Schwalbe (13 shared papers)Janet C. Lindsey (8 shared papers)JANET M. SHIPLEY (7 shared papers)Stephen Crosier (8 shared papers)Thomas S. Jacques (6 shared papers)Kathy Pritchard‐Jones (5 shared papers)
- Journals
- Acta Neuropathologica (7 papers)Neuro-Oncology (6 papers)Neuropathology and Applied Neurobiology (3 papers)The Lancet Oncology (2 papers)Genes Chromosomes and Cancer (2 papers)
- Partner nations
- United KingdomGermanyUnited States
In The Last Decade
Daniel Williamson
50 papers receiving 3k citations
Daniel Williamson's Hit Papers
Peers
Comparison fields: 5 of 87
- Genetics 1.4k
- Cancer Research 270
- Oncology 353
- Hematology 145
- Molecular Biology 617
Countries citing papers authored by Daniel Williamson
This map shows the geographic impact of Daniel Williamson'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 Williamson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Williamson more than expected).
Fields of papers citing papers by Daniel Williamson
This network shows the impact of papers produced by Daniel Williamson. 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 Williamson. The network helps show where Daniel Williamson may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Williamson, 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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Novel molecular subgroups for clinical classification and outcome prediction in childhood medulloblastoma: a cohort study Hit paper breakdown → | 2017 | 415 |
| 2 | 2020 | 241 | |
| 3 | 2019 | 220 | |
| 4 | 2014 | 167 | |
| 5 | 2019 | 161 | |
| 6 | 2020 | 158 | |
| 7 | 2012 | 144 | |
| 8 | 2013 | 136 | |
| 9 | 2005 | 112 | |
| 10 | 2009 | 92 | |
| 11 | 2011 | 83 | |
| 12 | 2007 | 82 | |
| 13 | 2019 | 75 | |
| 14 | 2012 | 72 | |
| 15 | 2018 | 70 | |
| 16 | 2020 | 66 | |
| 17 | 2013 | 48 | |
| 18 | 2022 | 48 | |
| 19 | 2001 | 47 | |
| 20 | 2016 | 46 |
About Daniel Williamson
Daniel Williamson is a scholar working on Genetics, Pulmonary and Respiratory Medicine, Molecular Biology, Cancer Research and Oncology, having authored 50 papers that have together received 3k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (29 papers), Sarcoma Diagnosis and Treatment (8 papers), Chromatin Remodeling and Cancer (5 papers), Acute Lymphoblastic Leukemia research (4 papers), Carcinogens and Genotoxicity Assessment (2 papers), Gene expression and cancer classification (2 papers), DNA and Nucleic Acid Chemistry (2 papers) and Epigenetics and DNA Methylation (1 paper). The work is most often cited by research in Genetics (1.4k citations), Cancer Research (270 citations), Oncology (353 citations), Hematology (145 citations) and Molecular Biology (617 citations). Daniel Williamson has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Steven C. Clifford, Simon R. Bailey, Ed C. Schwalbe, Janet C. Lindsey, JANET M. SHIPLEY, Stephen Crosier, Thomas S. Jacques, Kathy Pritchard‐Jones, Rebecca M. Hill and Stephen B. Wharton. Their work appears in journals such as Acta Neuropathologica, Neuro-Oncology, Neuropathology and Applied Neurobiology, The Lancet Oncology and Genes Chromosomes and Cancer.
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.