Michael Vidne
Impact in
- Cognitive Neuroscience top 10%
- Neural dynamics and brain function
- Functional Brain Connectivity Studies
- EEG and Brain-Computer Interfaces
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- Neuroscience and Neural Engineering
- Neuroscience and Neuropharmacology Research
- Photoreceptor and optogenetics research
Papers in
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- Melanoma and MAPK Pathways 2
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- Lung Cancer Treatments and Mutations 3
- Co-authors
- Liam Paninski (4 shared papers)Yashar Ahmadian (2 shared papers)Kamiar Rahnama Rad (2 shared papers)Shinsuke Koyama (1 shared paper)Wei Wu (1 shared paper)Joshua T Vogelstein (1 shared paper)Eero P. Simoncelli (1 shared paper)E. J. Chichilnisky (1 shared paper)
- Journals
- Journal of Computational Neuroscience (3 papers)European Journal of Cancer (2 papers)Scientific Reports (1 paper)Journal of Clinical Oncology (1 paper)The CRISPR Journal (1 paper)
- Partner nations
- United StatesNetherlandsPoland
In The Last Decade
Michael Vidne
12 papers receiving 268 citations
Peers
Comparison fields: 5 of 59
- Cognitive Neuroscience 207
- Cellular and Molecular Neuroscience 103
- Statistical and Nonlinear Physics 46
- Biophysics 12
- Artificial Intelligence 58
Countries citing papers authored by Michael Vidne
This map shows the geographic impact of Michael Vidne'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 Michael Vidne with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Vidne more than expected).
Fields of papers citing papers by Michael Vidne
This network shows the impact of papers produced by Michael Vidne. 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 Michael Vidne. The network helps show where Michael Vidne may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Vidne, 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 | 2009 | 131 | |
| 2 | 2011 | 72 | |
| 3 | 2011 | 33 | |
| 4 | 2019 | 13 | |
| 5 | 2017 | 8 | |
| 6 | 2020 | 5 | |
| 7 | 2021 | 4 | |
| 8 | 2016 | 2 | |
| 9 | 2016 | 1 | |
| 10 | 2021 | 1 | |
| 11 | 2012 | 1 | |
| 12 | 2018 | 1 |
About Michael Vidne
Michael Vidne is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Cognitive Neuroscience, Oncology and Computational Theory and Mathematics, having authored 12 papers that have together received 272 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (3 papers), Lung Cancer Treatments and Mutations (3 papers), Neural dynamics and brain function (3 papers), Colorectal Cancer Treatments and Studies (2 papers), Cancer Genomics and Diagnostics (2 papers), Melanoma and MAPK Pathways (2 papers), Neuroscience and Neural Engineering (1 paper) and Cytokine Signaling Pathways and Interactions (1 paper). The work is most often cited by research in Cognitive Neuroscience (207 citations), Cellular and Molecular Neuroscience (103 citations), Statistical and Nonlinear Physics (46 citations), Biophysics (12 citations) and Artificial Intelligence (58 citations). Michael Vidne has collaborated with scholars based in United States, Netherlands and Poland. Frequent co-authors include Liam Paninski, Yashar Ahmadian, Kamiar Rahnama Rad, Shinsuke Koyama, Wei Wu, Joshua T Vogelstein, Eero P. Simoncelli, E. J. Chichilnisky, A. M. Litke and Jonathan W. Pillow. Their work appears in journals such as Journal of Computational Neuroscience, European Journal of Cancer, Scientific Reports, Journal of Clinical Oncology and The CRISPR Journal.
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.