Baris Kanber
Impact in
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- MRI in cancer diagnosis
- Advanced Neuroimaging Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
- Advanced MRI Techniques and Applications
- Ultrasound Imaging and Elastography
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- Multiple Sclerosis Research Studies
Papers in
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- Multiple Sclerosis Research Studies 32
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- Advanced Neuroimaging Techniques and Applications 11
- Ultrasound Imaging and Elastography 5
- MRI in cancer diagnosis 5
- Co-authors
- David J. Collins (2 shared papers)Erica Scurr (2 shared papers)Martin O. Leach (2 shared papers)Janet E. Husband (2 shared papers)Dow‐Mu Koh (2 shared papers)Ferrán Prados (48 shared papers)A. Norman (1 shared paper)Kumar V. Ramnarine (9 shared papers)
- Journals
- Multiple Sclerosis Journal (8 papers)Brain Communications (5 papers)Journal of Neurology Neurosurgery & Psychiatry (4 papers)Cardiovascular Ultrasound (4 papers)Brain (4 papers)
- Partner nations
- United KingdomSpainItaly
In The Last Decade
Baris Kanber
62 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 79
- Radiology, Nuclear Medicine and Imaging 538
- Pathology and Forensic Medicine 362
- Health Informatics 19
- Hepatology 61
- Cardiology and Cardiovascular Medicine 147
Countries citing papers authored by Baris Kanber
This map shows the geographic impact of Baris Kanber'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 Baris Kanber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Baris Kanber more than expected).
Fields of papers citing papers by Baris Kanber
This network shows the impact of papers produced by Baris Kanber. 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 Baris Kanber. The network helps show where Baris Kanber may publish in the future.
Co-authors
The 25 scholars most cited alongside Baris Kanber, 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 68 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 285 | |
| 2 | 2006 | 103 | |
| 3 | 2014 | 96 | |
| 4 | 2022 | 70 | |
| 5 | 2015 | 62 | |
| 6 | 2016 | 62 | |
| 7 | 2019 | 44 | |
| 8 | 2018 | 38 | |
| 9 | 2021 | 36 | |
| 10 | 2021 | 27 | |
| 11 | 2013 | 24 | |
| 12 | 2020 | 22 | |
| 13 | 2022 | 22 | |
| 14 | 2023 | 20 | |
| 15 | 2023 | 20 | |
| 16 | 2013 | 19 | |
| 17 | 2019 | 17 | |
| 18 | 2023 | 16 | |
| 19 | 2022 | 16 | |
| 20 | 2019 | 15 |
About Baris Kanber
Baris Kanber is a scholar working on Pathology and Forensic Medicine, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Rheumatology and Neurology, having authored 68 papers that have together received 1.3k indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (32 papers), Advanced Neuroimaging Techniques and Applications (11 papers), Cerebrovascular and Carotid Artery Diseases (7 papers), Ultrasound Imaging and Elastography (5 papers), MRI in cancer diagnosis (5 papers), Systemic Lupus Erythematosus Research (5 papers), Functional Brain Connectivity Studies (4 papers) and Epilepsy research and treatment (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (538 citations), Pathology and Forensic Medicine (362 citations), Health Informatics (19 citations), Hepatology (61 citations) and Cardiology and Cardiovascular Medicine (147 citations). Baris Kanber has collaborated with scholars based in United Kingdom, Spain and Italy. Frequent co-authors include David J. Collins, Erica Scurr, Martin O. Leach, Janet E. Husband, Dow‐Mu Koh, Ferrán Prados, A. Norman, Kumar V. Ramnarine, Claudia A. M. Gandini Wheeler‐Kingshott and Thompson Robinson. Their work appears in journals such as Multiple Sclerosis Journal, Brain Communications, Journal of Neurology Neurosurgery & Psychiatry, Cardiovascular Ultrasound and Brain.
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.