Daniel Gau
Impact in
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- Circadian rhythm and melatonin
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- Neuroscience and Neuropharmacology Research
- Genetic Neurodegenerative Diseases
- Photoreceptor and optogenetics research
- Nuclear Receptors and Signaling
Papers in
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- Neuroscience and Neuropharmacology Research 1
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- Circadian rhythm and melatonin 2
- Co-authors
- Wolfgang Schmid (3 shared papers)Günther Schütz (4 shared papers)Thomas Lemberger (3 shared papers)Oliver Kretz (2 shared papers)François Tronche (2 shared papers)Christoph Kellendonk (2 shared papers)Susanne C. Bleckmann (1 shared paper)Theo Mantamadiotis (1 shared paper)
- Journals
- Genes & Development (1 paper)Nature Genetics (1 paper)Neuron (1 paper)Postgraduate Medical Journal (1 paper)Medical Hypotheses (1 paper)
- Partner nations
- GermanyUnited KingdomSwitzerland
In The Last Decade
Daniel Gau
6 papers receiving 902 citations
Daniel Gau's Hit Papers
Peers
Comparison fields: 5 of 87
- Endocrine and Autonomic Systems 170
- Cellular and Molecular Neuroscience 425
- Developmental Neuroscience 79
- Aging 31
- Biological Psychiatry 26
Countries citing papers authored by Daniel Gau
This map shows the geographic impact of Daniel Gau'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 Daniel Gau with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Gau more than expected).
Fields of papers citing papers by Daniel Gau
This network shows the impact of papers produced by Daniel Gau. 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 Daniel Gau. The network helps show where Daniel Gau may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Gau, 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 | Disruption of CREB function in brain leads to neurodegeneration Hit paper breakdown → | 2002 | 567 |
| 2 | 2002 | 213 | |
| 3 | 2004 | 102 | |
| 4 | Determinants of forearm bone density in premenopausal women: a study in one general practice. | 1991 | 19 |
| 5 | 1994 | 11 | |
| 6 | 2007 | 1 |
About Daniel Gau
Daniel Gau is a scholar working on Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems, Orthopedics and Sports Medicine, Molecular Biology and Social Psychology, having authored 6 papers that have together received 913 indexed citations. Recurring topics across this work include Bone health and osteoporosis research (2 papers), Circadian rhythm and melatonin (2 papers), Diabetes and associated disorders (1 paper), Forensic Anthropology and Bioarchaeology Studies (1 paper), Cytokine Signaling Pathways and Interactions (1 paper), Body Composition Measurement Techniques (1 paper), Neuroscience and Neuropharmacology Research (1 paper) and Stress Responses and Cortisol (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (170 citations), Cellular and Molecular Neuroscience (425 citations), Developmental Neuroscience (79 citations), Aging (31 citations) and Biological Psychiatry (26 citations). Daniel Gau has collaborated with scholars based in Germany, United Kingdom and Switzerland. Frequent co-authors include Wolfgang Schmid, Günther Schütz, Thomas Lemberger, Oliver Kretz, François Tronche, Christoph Kellendonk, Susanne C. Bleckmann, Theo Mantamadiotis, Christiane Otto and Heidrun Kern. Their work appears in journals such as Genes & Development, Nature Genetics, Neuron, Postgraduate Medical Journal and Medical Hypotheses.
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.