Dániel Sandi
Impact in
- Biological Psychiatry top 10%
- Tryptophan and brain disorders
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- Multiple Sclerosis Research Studies
Papers in
-
- Multiple Sclerosis Research Studies 17
- Systemic Sclerosis and Related Diseases 2
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- Rheumatoid Arthritis Research and Therapies 5
- Co-authors
- László Vécsei (18 shared papers)Krisztina Bencsik (19 shared papers)Tamás Biernacki (16 shared papers)Judit Füvesi (12 shared papers)Zsigmond Tamás Kincses (13 shared papers)Péter Klivènyi (9 shared papers)Dawn Langdon (1 shared paper)Csilla Rózsa (3 shared papers)
- Journals
- Multiple Sclerosis and Related Disorders (3 papers)Neurological Sciences (2 papers)Brain and Behavior (2 papers)International Journal of Molecular Sciences (2 papers)PLoS ONE (1 paper)
- Partner nations
- HungaryUnited Kingdom
In The Last Decade
Dániel Sandi
18 papers receiving 363 citations
Peers
Comparison fields: 5 of 70
- Biological Psychiatry 60
- Pathology and Forensic Medicine 261
- Behavioral Neuroscience 27
- Neurology 39
- Neurology 49
Countries citing papers authored by Dániel Sandi
This map shows the geographic impact of Dániel Sandi'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 Dániel Sandi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dániel Sandi more than expected).
Fields of papers citing papers by Dániel Sandi
This network shows the impact of papers produced by Dániel Sandi. 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 Dániel Sandi. The network helps show where Dániel Sandi may publish in the future.
Co-authors
The 25 scholars most cited alongside Dániel Sandi, 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 | 2015 | 69 | |
| 2 | 2020 | 49 | |
| 3 | 2019 | 41 | |
| 4 | 2021 | 39 | |
| 5 | 2019 | 26 | |
| 6 | 2022 | 25 | |
| 7 | 2022 | 22 | |
| 8 | 2017 | 19 | |
| 9 | 2020 | 15 | |
| 10 | 2016 | 12 | |
| 11 | 2017 | 9 | |
| 12 | 2022 | 9 | |
| 13 | 2022 | 8 | |
| 14 | 2019 | 6 | |
| 15 | 2024 | 5 | |
| 16 | 2021 | 5 | |
| 17 | 2018 | 4 | |
| 18 | 2024 | 2 | |
| 19 | 2024 | 0 |
About Dániel Sandi
Dániel Sandi is a scholar working on Pathology and Forensic Medicine, Rheumatology, Molecular Biology, Biological Psychiatry and Behavioral Neuroscience, having authored 19 papers that have together received 365 indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (17 papers), Rheumatoid Arthritis Research and Therapies (5 papers), Tryptophan and brain disorders (3 papers), Advanced Neuroimaging Techniques and Applications (2 papers), Systemic Sclerosis and Related Diseases (2 papers), Immunotherapy and Immune Responses (2 papers), Autoimmune and Inflammatory Disorders Research (2 papers) and Stress Responses and Cortisol (2 papers). The work is most often cited by research in Biological Psychiatry (60 citations), Pathology and Forensic Medicine (261 citations), Behavioral Neuroscience (27 citations), Neurology (39 citations) and Neurology (49 citations). Dániel Sandi has collaborated with scholars based in Hungary and United Kingdom. Frequent co-authors include László Vécsei, Krisztina Bencsik, Tamás Biernacki, Judit Füvesi, Zsigmond Tamás Kincses, Péter Klivènyi, Dawn Langdon, Csilla Rózsa, Péter Faragó and Dániel Veréb. Their work appears in journals such as Multiple Sclerosis and Related Disorders, Neurological Sciences, Brain and Behavior, International Journal of Molecular Sciences and PLoS ONE.
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.