Christopher Wragg
Impact in
- Genetics top 5%
- Glioma Diagnosis and Treatment
- Genomic variations and chromosomal abnormalities
- Hematology top 10%
- Chronic Myeloid Leukemia Treatments
- Acute Myeloid Leukemia Research
Papers in
- Genetics 10
- Glioma Diagnosis and Treatment 9
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- Cancer Genomics and Diagnostics 6
- Co-authors
- Claire Faulkner (8 shared papers)Kathreena M. Kurian (10 shared papers)Paul White (4 shared papers)Harry R. Haynes (2 shared papers)Sarah Jefferies (6 shared papers)Julian P. T. Higgins (6 shared papers)Sebastian Brandner (6 shared papers)Alexandra McAleenan (6 shared papers)
- Journals
- Cochrane Database of Systematic Reviews (4 papers)Neuro-Oncology (2 papers)Journal of Medical Genetics (2 papers)Blood (2 papers)British Journal of Haematology (1 paper)
- Partner nations
- United KingdomGermanyUnited States
In The Last Decade
Christopher Wragg
15 papers receiving 348 citations
Peers
Comparison fields: 5 of 61
- Genetics 162
- Hematology 74
- Developmental Biology 11
- Cancer Research 64
- Neurology 45
Countries citing papers authored by Christopher Wragg
This map shows the geographic impact of Christopher Wragg'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 Christopher Wragg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher Wragg more than expected).
Fields of papers citing papers by Christopher Wragg
This network shows the impact of papers produced by Christopher Wragg. 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 Christopher Wragg. The network helps show where Christopher Wragg may publish in the future.
Co-authors
The 25 scholars most cited alongside Christopher Wragg, 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 | 2016 | 80 | |
| 2 | 2014 | 60 | |
| 3 | 2014 | 47 | |
| 4 | 2015 | 43 | |
| 5 | 2021 | 39 | |
| 6 | 2021 | 25 | |
| 7 | 2021 | 18 | |
| 8 | 2022 | 15 | |
| 9 | 2023 | 11 | |
| 10 | 2019 | 10 | |
| 11 | 2019 | 5 | |
| 12 | 2019 | 4 | |
| 13 | 2014 | 2 | |
| 14 | 2019 | 1 | |
| 15 | 2018 | 1 | |
| 16 | 2025 | 0 | |
| 17 | 2025 | 0 |
About Christopher Wragg
Christopher Wragg is a scholar working on Genetics, Cancer Research, Pulmonary and Respiratory Medicine, Molecular Biology and Pediatrics, Perinatology and Child Health, having authored 17 papers that have together received 361 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (9 papers), Cancer Genomics and Diagnostics (6 papers), Brain Metastases and Treatment (3 papers), Histone Deacetylase Inhibitors Research (2 papers), Acute Lymphoblastic Leukemia research (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Ocular Oncology and Treatments (1 paper) and Gestational Trophoblastic Disease Studies (1 paper). The work is most often cited by research in Genetics (162 citations), Hematology (74 citations), Developmental Biology (11 citations), Cancer Research (64 citations) and Neurology (45 citations). Christopher Wragg has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Claire Faulkner, Kathreena M. Kurian, Paul White, Harry R. Haynes, Sarah Jefferies, Julian P. T. Higgins, Sebastian Brandner, Alexandra McAleenan, Sarah Dawson and Lena Schmidt. Their work appears in journals such as Cochrane Database of Systematic Reviews, Neuro-Oncology, Journal of Medical Genetics, Blood and British Journal of Haematology.
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.