Oliver Ganslandt
- Genetics top 0.1%
- Glioma Diagnosis and Treatment 70
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- Advanced MRI Techniques and Applications 87
- Advanced Neuroimaging Techniques and Applications 54
- Neurology top 0.2%
- Intracranial Aneurysms: Treatment and Complications 58
- Vascular Malformations Diagnosis and Treatment 41
- Traumatic Brain Injury and Neurovascular Disturbances 26
- Epidemiology top 1%
- Meningioma and schwannoma management 46
- Computational Mathematics top 5%
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- Cerebrovascular and Carotid Artery Diseases 31
- Co-authors
- Christopher NimskyRudolf FahlbuschMichael BuchfelderPeter HastreiterAndreas StadlbauerHans HenkesBoris von KellerHansjörg Bäzner
- Journals
- New England Journal of Medicine (1 paper)Nature Medicine (1 paper)Journal of Clinical Oncology (2 papers)
- Partner nations
- GermanyAustriaUnited States
In The Last Decade
Oliver Ganslandt
269 papers receiving 10.0k citations
Peers
Comparison fields: 5 of 134
- Genetics 3.4k
- Radiology, Nuclear Medicine and Imaging 4.7k
- Neurology 2.7k
- Epidemiology 2.4k
- Computational Mathematics 35
Countries citing papers authored by Oliver Ganslandt
This map shows the geographic impact of Oliver Ganslandt'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 Oliver Ganslandt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Oliver Ganslandt more than expected).
Fields of papers citing papers by Oliver Ganslandt
This network shows the impact of papers produced by Oliver Ganslandt. 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 Oliver Ganslandt. The network helps show where Oliver Ganslandt may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Oliver Ganslandt, 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 | 2024 | 4 | |
| 2 | 2023 | 1 | |
| 3 | 2023 | 6 | |
| 4 | 2023 | 21 | |
| 5 | 2022 | 9 | |
| 6 | 2022 | 3 | |
| 7 | 2022 | 17 | |
| 8 | 2022 | 14 | |
| 9 | 2021 | 13 | |
| 10 | 2020 | 22 | |
| 11 | 2020 | 15 | |
| 12 | 2019 | 9 | |
| 13 | 2019 | 17 | |
| 14 | 2019 | 0 | |
| 15 | 2018 | 18 | |
| 16 | 2017 | 19 | |
| 17 | 2017 | 35 | |
| 18 | 2016 | 6 | |
| 19 | 2014 | 74 | |
| 20 | 2009 | 74 |
About Oliver Ganslandt
Oliver Ganslandt is a scholar working on Genetics, Neurology and Radiology, Nuclear Medicine and Imaging, having authored 279 papers that have together received 10.3k indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (87 papers), Glioma Diagnosis and Treatment (70 papers), Intracranial Aneurysms: Treatment and Complications (58 papers), Advanced Neuroimaging Techniques and Applications (54 papers), Meningioma and schwannoma management (46 papers), Vascular Malformations Diagnosis and Treatment (41 papers), Cerebrovascular and Carotid Artery Diseases (31 papers) and Traumatic Brain Injury and Neurovascular Disturbances (26 papers). The work is most often cited by research in Genetics (3.4k citations), Radiology, Nuclear Medicine and Imaging (4.7k citations) and Neurology (2.7k citations). Oliver Ganslandt has collaborated with scholars based in Germany, Austria and United States. Frequent co-authors include Christopher Nimsky, Rudolf Fahlbusch, Michael Buchfelder, Peter Hastreiter, Andreas Stadlbauer, Hans Henkes, Boris von Keller, Hansjörg Bäzner, H. Kober and Marta Aguilar Pérez. Their work appears in journals such as New England Journal of Medicine, Nature Medicine and Journal of Clinical Oncology.
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.