Guy Daneels
Impact in
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- Neuroscience and Neuropharmacology Research
Papers in
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- Advanced biosensing and bioanalysis techniques 3
- Advanced Biosensing Techniques and Applications 2
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- Neuroscience and Neuropharmacology Research 4
- Nuclear Receptors and Signaling 2
- Co-authors
- Jan De Mey (4 shared papers)Marc Moeremans (4 shared papers)Ilse Goris (6 shared papers)Dieder Moechars (5 shared papers)Diederik Moechars (6 shared papers)Arjan Buist (2 shared papers)Thomas Steckler (2 shared papers)Kim Cryns (2 shared papers)
- Journals
- Journal of Neuroscience (2 papers)Analytical Biochemistry (2 papers)Biochemical and Biophysical Research Communications (1 paper)Cell Reports (1 paper)Experimental Neurology (1 paper)
- Partner nations
- BelgiumUnited StatesNetherlands
In The Last Decade
Guy Daneels
17 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 97
- Cellular and Molecular Neuroscience 417
- Endocrine and Autonomic Systems 117
- Biological Psychiatry 34
- Physiology 317
- Neurology 170
Countries citing papers authored by Guy Daneels
This map shows the geographic impact of Guy Daneels'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 Guy Daneels with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guy Daneels more than expected).
Fields of papers citing papers by Guy Daneels
This network shows the impact of papers produced by Guy Daneels. 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 Guy Daneels. The network helps show where Guy Daneels may publish in the future.
Co-authors
The 25 scholars most cited alongside Guy Daneels, 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 | 2006 | 277 | |
| 2 | 2015 | 204 | |
| 3 | 1985 | 191 | |
| 4 | 2006 | 172 | |
| 5 | 2014 | 138 | |
| 6 | 2006 | 135 | |
| 7 | 2007 | 52 | |
| 8 | 1986 | 36 | |
| 9 | 1997 | 33 | |
| 10 | 1986 | 23 | |
| 11 | 2012 | 20 | |
| 12 | 1987 | 19 | |
| 13 | 2013 | 13 | |
| 14 | 2017 | 11 | |
| 15 | 1999 | 10 | |
| 16 | 2009 | 6 | |
| 17 | 2014 | 1 |
About Guy Daneels
Guy Daneels is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cognitive Neuroscience, Neurology and Radiology, Nuclear Medicine and Imaging, having authored 17 papers that have together received 1.3k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (4 papers), Advanced biosensing and bioanalysis techniques (3 papers), Advanced Proteomics Techniques and Applications (2 papers), Bipolar Disorder and Treatment (2 papers), Nuclear Receptors and Signaling (2 papers), Advanced Biosensing Techniques and Applications (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Parkinson's Disease Mechanisms and Treatments (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (417 citations), Endocrine and Autonomic Systems (117 citations), Biological Psychiatry (34 citations), Physiology (317 citations) and Neurology (170 citations). Guy Daneels has collaborated with scholars based in Belgium, United States and Netherlands. Frequent co-authors include Jan De Mey, Marc Moeremans, Ilse Goris, Dieder Moechars, Diederik Moechars, Arjan Buist, Thomas Steckler, Kim Cryns, Bart De Strooper and Patrik Verstreken. Their work appears in journals such as Journal of Neuroscience, Analytical Biochemistry, Biochemical and Biophysical Research Communications, Cell Reports and Experimental Neurology.
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.