Vera Tadić
Impact in
- Neurology top 2%
- Parkinson's Disease Mechanisms and Treatments
- Neurological disorders and treatments
- Neurological diseases and metabolism
- Botulinum Toxin and Related Neurological Disorders
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- Genetic Neurodegenerative Diseases
- Nuclear Receptors and Signaling
Papers in
- Neurology 25
- Neurological disorders and treatments 19
- Parkinson's Disease Mechanisms and Treatments 13
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- Genetic Neurodegenerative Diseases 9
- Nuclear Receptors and Signaling 3
- Co-authors
- Christine Klein (28 shared papers)Norbert Brüggemann (31 shared papers)Meike Kasten (15 shared papers)Johann Hagenah (9 shared papers)Alexander Münchau (17 shared papers)Hartwig R. Siebner (6 shared papers)Ferdinand Binkofski (6 shared papers)Katja Lohmann (10 shared papers)
In The Last Decade
Vera Tadić
43 papers receiving 871 citations
Peers
Comparison fields: 5 of 65
- Neurology 533
- Neurology 141
- Cellular and Molecular Neuroscience 290
- Clinical Biochemistry 46
- Sensory Systems 32
Countries citing papers authored by Vera Tadić
This map shows the geographic impact of Vera Tadić'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 Vera Tadić with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vera Tadić more than expected).
Fields of papers citing papers by Vera Tadić
This network shows the impact of papers produced by Vera Tadić. 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 Vera Tadić. The network helps show where Vera Tadić may publish in the future.
Co-authors
The 25 scholars most cited alongside Vera Tadić, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 82 | |
| 2 | 2015 | 62 | |
| 3 | 2009 | 58 | |
| 4 | 2010 | 57 | |
| 5 | 2010 | 52 | |
| 6 | 2010 | 45 | |
| 7 | 2010 | 40 | |
| 8 | 2017 | 37 | |
| 9 | 2018 | 33 | |
| 10 | 2013 | 32 | |
| 11 | 2010 | 31 | |
| 12 | 2020 | 30 | |
| 13 | 2009 | 29 | |
| 14 | 2019 | 29 | |
| 15 | 2010 | 28 | |
| 16 | 2014 | 25 | |
| 17 | 2012 | 24 | |
| 18 | 2014 | 22 | |
| 19 | 2017 | 16 | |
| 20 | 2018 | 16 |
About Vera Tadić
Vera Tadić is a scholar working on Neurology, Cellular and Molecular Neuroscience, Molecular Biology, Surgery and Cognitive Neuroscience, having authored 43 papers that have together received 884 indexed citations. Recurring topics across this work include Neurological disorders and treatments (19 papers), Parkinson's Disease Mechanisms and Treatments (13 papers), Genetic Neurodegenerative Diseases (9 papers), Mitochondrial Function and Pathology (4 papers), Nuclear Receptors and Signaling (3 papers), Genetics and Neurodevelopmental Disorders (2 papers), Genomics and Rare Diseases (2 papers) and RNA regulation and disease (2 papers). The work is most often cited by research in Neurology (533 citations), Neurology (141 citations), Cellular and Molecular Neuroscience (290 citations), Clinical Biochemistry (46 citations) and Sensory Systems (32 citations). Vera Tadić has collaborated with scholars based in Germany, Italy and Canada. Frequent co-authors include Christine Klein, Norbert Brüggemann, Meike Kasten, Johann Hagenah, Alexander Münchau, Hartwig R. Siebner, Ferdinand Binkofski, Katja Lohmann, Alexander Schmidt and Peter P. Pramstaller. Their work appears in journals such as Parkinsonism & Related Disorders, Movement Disorders, Neurology, NeuroImage Clinical 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.