Daniel Delev
- Genetics top 2%
- Glioma Diagnosis and Treatment 23
- Psychiatry and Mental health top 5%
- Epilepsy research and treatment 21
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- Neuroscience and Neuropharmacology Research 10
- Neurology top 10%
- Neurological disorders and treatments 5
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- Pharmacological Effects and Toxicity Studies 14
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- Meningioma and schwannoma management 9
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- Advanced Neuroimaging Techniques and Applications 8
- Radiomics and Machine Learning in Medical Imaging 5
- Co-authors
- Dieter Henrik HeilandOliver SchnellPamela FrancoMarec von LeheAlexander GroteChristian E. ElgerIrina MaderWaseem Masalha
- Journals
- Scientific Reports (6 papers)Journal of Neuro-Oncology (5 papers)Acta Neurochirurgica (4 papers)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Daniel Delev
59 papers receiving 868 citations
Peers
Comparison fields: 5 of 83
- Genetics 356
- Psychiatry and Mental health 266
- Cellular and Molecular Neuroscience 183
- Neurology 134
- Pediatrics, Perinatology and Child Health 168
Countries citing papers authored by Daniel Delev
This map shows the geographic impact of Daniel Delev'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 Delev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Delev more than expected).
Fields of papers citing papers by Daniel Delev
This network shows the impact of papers produced by Daniel Delev. 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 Delev. The network helps show where Daniel Delev may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniel Delev, 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 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 2 | |
| 5 | 2024 | 13 | |
| 6 | 2024 | 2 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 7 | |
| 9 | 2022 | 1 | |
| 10 | 2021 | 1 | |
| 11 | 2020 | 16 | |
| 12 | 2020 | 2 | |
| 13 | 2020 | 13 | |
| 14 | 2019 | 45 | |
| 15 | 2018 | 19 | |
| 16 | 2018 | 28 | |
| 17 | 2018 | 32 | |
| 18 | 2017 | 16 | |
| 19 | 2016 | 24 | |
| 20 | 2015 | 53 |
About Daniel Delev
Daniel Delev is a scholar working on Genetics, Psychiatry and Mental health, Cellular and Molecular Neuroscience, Pediatrics, Perinatology and Child Health and Radiology, Nuclear Medicine and Imaging, having authored 64 papers that have together received 879 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (23 papers), Epilepsy research and treatment (21 papers), Pharmacological Effects and Toxicity Studies (14 papers), Neuroscience and Neuropharmacology Research (10 papers), Meningioma and schwannoma management (9 papers), Advanced Neuroimaging Techniques and Applications (8 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Neurological disorders and treatments (5 papers). The work is most often cited by research in Genetics (356 citations), Psychiatry and Mental health (266 citations), Cellular and Molecular Neuroscience (183 citations), Neurology (134 citations) and Pediatrics, Perinatology and Child Health (168 citations). Daniel Delev has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Dieter Henrik Heiland, Oliver Schnell, Pamela Franco, Marec von Lehe, Alexander Grote, Christian E. Elger, Irina Mader, Waseem Masalha, Johannes Schramm and Hans Clusmann. Their work appears in journals such as Scientific Reports, Journal of Neuro-Oncology, Acta Neurochirurgica, World Neurosurgery and Oncotarget.
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.