Vanessa Ness
Impact in
- Cognitive Neuroscience top 5%
- Neural and Behavioral Psychology Studies
- Hemispheric Asymmetry in Neuroscience
- Neural dynamics and brain function
- EEG and Brain-Computer Interfaces
- Functional Brain Connectivity Studies
- Anatomy top 5%
Papers in
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- Neural and Behavioral Psychology Studies 3
- Functional Brain Connectivity Studies 3
- Hemispheric Asymmetry in Neuroscience 2
- Neural dynamics and brain function 2
- Visual perception and processing mechanisms 1
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- Genetic Neurodegenerative Diseases 6
- Neuroscience and Neuropharmacology Research 3
- Co-authors
- Christian Beste (12 shared papers)Michael Falkenstein (4 shared papers)Carsten Saft (5 shared papers)Larissa Arning (4 shared papers)Jörg T. Epplen (4 shared papers)Rainer Hoffmann (3 shared papers)Carsten Lukas (2 shared papers)Onur Güntürkün (3 shared papers)
- Journals
- Scientific Reports (2 papers)NeuroImage (2 papers)Neuropsychologia (2 papers)Journal of Huntington s Disease (1 paper)Neuropharmacology (1 paper)
- Partner nations
- Germany
In The Last Decade
Vanessa Ness
12 papers receiving 372 citations
Peers
Comparison fields: 5 of 57
- Cognitive Neuroscience 265
- Anatomy 11
- Cellular and Molecular Neuroscience 78
- Neurology 59
- General Decision Sciences 7
Countries citing papers authored by Vanessa Ness
This map shows the geographic impact of Vanessa Ness'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 Vanessa Ness with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vanessa Ness more than expected).
Fields of papers citing papers by Vanessa Ness
This network shows the impact of papers produced by Vanessa Ness. 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 Vanessa Ness. The network helps show where Vanessa Ness may publish in the future.
Co-authors
The 15 scholars most cited alongside Vanessa Ness, 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 | 2012 | 83 | |
| 2 | 2013 | 74 | |
| 3 | 2011 | 66 | |
| 4 | 2015 | 40 | |
| 5 | 2013 | 23 | |
| 6 | 2011 | 22 | |
| 7 | 2013 | 21 | |
| 8 | 2012 | 18 | |
| 9 | 2013 | 12 | |
| 10 | 2014 | 9 | |
| 11 | 2015 | 9 | |
| 12 | 2014 | 2 |
About Vanessa Ness
Vanessa Ness is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Neurology, Molecular Biology and Genetics, having authored 12 papers that have together received 379 indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (6 papers), Neurological disorders and treatments (5 papers), Neural and Behavioral Psychology Studies (3 papers), Neuroscience and Neuropharmacology Research (3 papers), Functional Brain Connectivity Studies (3 papers), Hemispheric Asymmetry in Neuroscience (2 papers), Neural dynamics and brain function (2 papers) and Visual perception and processing mechanisms (1 paper). The work is most often cited by research in Cognitive Neuroscience (265 citations), Anatomy (11 citations), Cellular and Molecular Neuroscience (78 citations), Neurology (59 citations) and General Decision Sciences (7 citations). Vanessa Ness has collaborated with scholars based in Germany. Frequent co-authors include Christian Beste, Michael Falkenstein, Carsten Saft, Larissa Arning, Jörg T. Epplen, Rainer Hoffmann, Carsten Lukas, Onur Güntürkün, Sebastian Ocklenburg and Ann‐Kathrin Stock. Their work appears in journals such as Scientific Reports, NeuroImage, Neuropsychologia, Journal of Huntington s Disease and Neuropharmacology.
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.