Matthew Blackledge
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- Radiomics and Machine Learning in Medical Imaging 36
- MRI in cancer diagnosis 36
- Advanced Neuroimaging Techniques and Applications 19
- Medical Imaging Techniques and Applications 12
- Advanced MRI Techniques and Applications 7
- Hematology top 5%
- Multiple Myeloma Research and Treatments 6
- Health Informatics top 5%
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- Bone and Joint Diseases 9
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- Prostate Cancer Treatment and Research 10
- Co-authors
- Dow‐Mu KohDavid J. CollinsMartin O. LeachAnwar R. PadhaniMatthew OrtonNina TunariuChristina MessiouToni Wallace
- Partner nations
- United KingdomSwitzerlandChile
In The Last Decade
Matthew Blackledge
67 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 81
- Radiology, Nuclear Medicine and Imaging 1.4k
- Hematology 203
- Health Informatics 24
- Orthopedics and Sports Medicine 155
- Pulmonary and Respiratory Medicine 478
Countries citing papers authored by Matthew Blackledge
This map shows the geographic impact of Matthew Blackledge'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 Matthew Blackledge with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Blackledge more than expected).
Fields of papers citing papers by Matthew Blackledge
This network shows the impact of papers produced by Matthew Blackledge. 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 Matthew Blackledge. The network helps show where Matthew Blackledge may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Matthew Blackledge, 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 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 4 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 3 | |
| 8 | 2023 | 3 | |
| 9 | 2022 | 3 | |
| 10 | 2022 | 10 | |
| 11 | 2022 | 9 | |
| 12 | 2021 | 21 | |
| 13 | 2021 | 28 | |
| 14 | 2021 | 14 | |
| 15 | 2020 | 21 | |
| 16 | 2019 | 218 | |
| 17 | 2019 | 23 | |
| 18 | 2017 | 38 | |
| 19 | 2015 | 20 | |
| 20 | 2009 | 140 |
About Matthew Blackledge
Matthew Blackledge is a scholar working on Radiology, Nuclear Medicine and Imaging, Orthopedics and Sports Medicine, Pulmonary and Respiratory Medicine, Hematology and Obstetrics and Gynecology, having authored 69 papers that have together received 1.8k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (36 papers), MRI in cancer diagnosis (36 papers), Advanced Neuroimaging Techniques and Applications (19 papers), Medical Imaging Techniques and Applications (12 papers), Prostate Cancer Treatment and Research (10 papers), Bone and Joint Diseases (9 papers), Advanced MRI Techniques and Applications (7 papers) and Multiple Myeloma Research and Treatments (6 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.4k citations), Hematology (203 citations), Health Informatics (24 citations), Orthopedics and Sports Medicine (155 citations) and Pulmonary and Respiratory Medicine (478 citations). Matthew Blackledge has collaborated with scholars based in United Kingdom, Switzerland and Chile. Frequent co-authors include Dow‐Mu Koh, David J. Collins, Martin O. Leach, Anwar R. Padhani, Matthew Orton, Nina Tunariu, Christina Messiou, Toni Wallace, Adrian Andreou and Jessica Winfield. Their work appears in journals such as European Radiology, Frontiers in Oncology, Radiology, British Journal of Radiology and Computers in Biology and Medicine.
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.