Imis Dogan
- Cognitive Neuroscience top 2%
- Functional Brain Connectivity Studies 12
- Neurology top 2%
- Neurological disorders and treatments 21
- Parkinson's Disease Mechanisms and Treatments 12
- Vestibular and auditory disorders 5
- Neurology top 5%
- Neurological disorders and treatments 21
- Parkinson's Disease Mechanisms and Treatments 12
- Vestibular and auditory disorders 5
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- Genetic Neurodegenerative Diseases 21
- Psychiatry and Mental health top 5%
- Dementia and Cognitive Impairment Research 4
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- Mitochondrial Function and Pathology 9
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- Advanced Neuroimaging Techniques and Applications 9
- Co-authors
- Kathrin ReetzJörg B. SchulzSimon B. EickhoffAngela R. LairdPeter T. FoxClaudia RottschyRobert LangnerJohannes Schiefer
- Partner nations
- GermanyUnited StatesAustria
In The Last Decade
Imis Dogan
46 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Cognitive Neuroscience 1.2k
- Neurology 508
- Neurology 193
- Cellular and Molecular Neuroscience 408
- Psychiatry and Mental health 288
Countries citing papers authored by Imis Dogan
This map shows the geographic impact of Imis Dogan'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 Imis Dogan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Imis Dogan more than expected).
Fields of papers citing papers by Imis Dogan
This network shows the impact of papers produced by Imis Dogan. 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 Imis Dogan. The network helps show where Imis Dogan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Imis Dogan, 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 | 4 | |
| 2 | 2024 | 2 | |
| 3 | 2022 | 6 | |
| 4 | 2021 | 9 | |
| 5 | 2021 | 26 | |
| 6 | 2020 | 16 | |
| 7 | 2020 | 5 | |
| 8 | 2019 | 67 | |
| 9 | 2018 | 26 | |
| 10 | 2018 | 25 | |
| 11 | 2017 | 5 | |
| 12 | 2016 | 23 | |
| 13 | 2016 | 45 | |
| 14 | 2016 | 76 | |
| 15 | 2013 | 42 | |
| 16 | 2013 | 30 | |
| 17 | 2012 | 65 | |
| 18 | 2012 | 56 | |
| 19 | Modelling neural correlates of working memory: A coordinate-based meta-analysisbreakdown → | 2011 | 733 |
| 20 | 2009 | 161 |
About Imis Dogan
Imis Dogan is a scholar working on Neurology, Cellular and Molecular Neuroscience, Neurology, Cognitive Neuroscience and Sensory Systems, having authored 47 papers that have together received 2.0k indexed citations. Recurring topics across this work include Neurological disorders and treatments (21 papers), Genetic Neurodegenerative Diseases (21 papers), Parkinson's Disease Mechanisms and Treatments (12 papers), Functional Brain Connectivity Studies (12 papers), Mitochondrial Function and Pathology (9 papers), Advanced Neuroimaging Techniques and Applications (9 papers), Vestibular and auditory disorders (5 papers) and Dementia and Cognitive Impairment Research (4 papers). The work is most often cited by research in Cognitive Neuroscience (1.2k citations), Neurology (508 citations), Neurology (193 citations), Cellular and Molecular Neuroscience (408 citations) and Psychiatry and Mental health (288 citations). Imis Dogan has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Kathrin Reetz, Jörg B. Schulz, Simon B. Eickhoff, Angela R. Laird, Peter T. Fox, Claudia Rottschy, Robert Langner, Johannes Schiefer, N. Jon Shah and Cornelius J. Werner. Their work appears in journals such as NeuroImage, NeuroImage Clinical, The Cerebellum, Journal of Neurology and Clinical Neurophysiology.
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.