Peter Kunach
Impact in
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- Alzheimer's disease research and treatments
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- Tryptophan and brain disorders
Papers in
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- Alzheimer's disease research and treatments 9
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- Amyloidosis: Diagnosis, Treatment, Outcomes 2
- S100 Proteins and Annexins 2
- Machine Learning in Bioinformatics 1
- Co-authors
- Pedro Rosa‐Neto (8 shared papers)John C.S. Breitner (1 shared paper)Philip Scheltens (1 shared paper)Gerhard Multhaup (1 shared paper)Paul Säftig (1 shared paper)Mark A. Hancock (1 shared paper)Wiesje M. van der Flier (1 shared paper)Randall J. Bateman (1 shared paper)
- Journals
- Alzheimer s & Dementia (4 papers)Nature Communications (2 papers)Science Advances (1 paper)Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring (1 paper)iScience (1 paper)
- Partner nations
- United StatesCanadaBrazil
In The Last Decade
Peter Kunach
10 papers receiving 78 citations
Peers
Comparison fields: 5 of 37
- Physiology 63
- Biological Psychiatry 6
- Neurology 11
- Psychiatry and Mental health 12
- Structural Biology 1
Countries citing papers authored by Peter Kunach
This map shows the geographic impact of Peter Kunach'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 Peter Kunach with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Kunach more than expected).
Fields of papers citing papers by Peter Kunach
This network shows the impact of papers produced by Peter Kunach. 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 Peter Kunach. The network helps show where Peter Kunach may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter Kunach, 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 | 2019 | 47 | |
| 2 | 2024 | 19 | |
| 3 | 2024 | 3 | |
| 4 | 2025 | 2 | |
| 5 | 2023 | 2 | |
| 6 | 2023 | 2 | |
| 7 | 2023 | 1 | |
| 8 | 2024 | 1 | |
| 9 | 2022 | 1 | |
| 10 | 2021 | 1 | |
| 11 | 2023 | 0 |
About Peter Kunach
Peter Kunach is a scholar working on Physiology, Molecular Biology, Psychiatry and Mental health, Cognitive Neuroscience and Clinical Psychology, having authored 11 papers that have together received 79 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (9 papers), Dementia and Cognitive Impairment Research (4 papers), Functional Brain Connectivity Studies (2 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (2 papers), S100 Proteins and Annexins (2 papers), Advanced Neuroimaging Techniques and Applications (1 paper), Machine Learning in Bioinformatics (1 paper) and Trace Elements in Health (1 paper). The work is most often cited by research in Physiology (63 citations), Biological Psychiatry (6 citations), Neurology (11 citations), Psychiatry and Mental health (12 citations) and Structural Biology (1 citation). Peter Kunach has collaborated with scholars based in United States, Canada and Brazil. Frequent co-authors include Pedro Rosa‐Neto, John C.S. Breitner, Philip Scheltens, Gerhard Multhaup, Paul Säftig, Mark A. Hancock, Wiesje M. van der Flier, Randall J. Bateman, Christoph Höck and Luka Kulic. Their work appears in journals such as Alzheimer s & Dementia, Nature Communications, Science Advances, Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring and iScience.
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.