Marc Danik
Impact in
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- Neuroscience and Neuropharmacology Research
- Neurotransmitter Receptor Influence on Behavior
- Biological Psychiatry top 5%
Papers in
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- Receptor Mechanisms and Signaling 3
- Angiogenesis and VEGF in Cancer 3
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- Neuroscience and Neuropharmacology Research 11
- Co-authors
- Sylvain Williams (14 shared papers)Frédéric Manseau (7 shared papers)Rémi Quirion (7 shared papers)Florence Sotty (3 shared papers)François Laplante (2 shared papers)Louis‐Éric Trudeau (3 shared papers)Carole Puma (2 shared papers)Grégory Dal Bo (2 shared papers)
- Journals
- The Journal of Physiology (3 papers)Journal of Neuroscience (3 papers)Journal of Neurochemistry (2 papers)Journal of Cellular Physiology (2 papers)Hippocampus (2 papers)
- Partner nations
- CanadaFranceUnited States
In The Last Decade
Marc Danik
27 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 89
- Cellular and Molecular Neuroscience 827
- Biological Psychiatry 59
- Cognitive Neuroscience 466
- Neurology 185
- Developmental Neuroscience 88
Countries citing papers authored by Marc Danik
This map shows the geographic impact of Marc Danik'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 Marc Danik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc Danik more than expected).
Fields of papers citing papers by Marc Danik
This network shows the impact of papers produced by Marc Danik. 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 Marc Danik. The network helps show where Marc Danik may publish in the future.
Co-authors
The 25 scholars most cited alongside Marc Danik, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 224 | |
| 2 | 2004 | 136 | |
| 3 | 2001 | 126 | |
| 4 | 2005 | 116 | |
| 5 | 2005 | 94 | |
| 6 | 2008 | 89 | |
| 7 | 1991 | 87 | |
| 8 | 1993 | 78 | |
| 9 | 2008 | 76 | |
| 10 | 1992 | 75 | |
| 11 | 1999 | 73 | |
| 12 | 2016 | 69 | |
| 13 | 2005 | 56 | |
| 14 | 2008 | 44 | |
| 15 | 2003 | 42 | |
| 16 | 2003 | 41 | |
| 17 | 2006 | 32 | |
| 18 | 2008 | 29 | |
| 19 | 1996 | 24 | |
| 20 | 2015 | 20 |
About Marc Danik
Marc Danik is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cognitive Neuroscience, Oncology and Neurology, having authored 27 papers that have together received 1.6k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (11 papers), Memory and Neural Mechanisms (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Neurogenesis and neuroplasticity mechanisms (3 papers), Alzheimer's disease research and treatments (3 papers), Receptor Mechanisms and Signaling (3 papers), Sleep and Wakefulness Research (3 papers) and Angiogenesis and VEGF in Cancer (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (827 citations), Biological Psychiatry (59 citations), Cognitive Neuroscience (466 citations), Neurology (185 citations) and Developmental Neuroscience (88 citations). Marc Danik has collaborated with scholars based in Canada, France and United States. Frequent co-authors include Sylvain Williams, Frédéric Manseau, Rémi Quirion, Florence Sotty, François Laplante, Louis‐Éric Trudeau, Carole Puma, Grégory Dal Bo, M. Suh and J.‐G. Chabot. Their work appears in journals such as The Journal of Physiology, Journal of Neuroscience, Journal of Neurochemistry, Journal of Cellular Physiology and Hippocampus.
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.