David S. Garbe
Impact in
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- Axon Guidance and Neuronal Signaling
- Neurobiology and Insect Physiology Research
- Neuroscience and Neuropharmacology Research
- Developmental Neuroscience top 5%
- Neurogenesis and neuroplasticity mechanisms
Papers in
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- Axon Guidance and Neuronal Signaling 6
- Neurobiology and Insect Physiology Research 4
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- Developmental Biology and Gene Regulation 3
- Protein Tyrosine Phosphatases 2
- Co-authors
- Greg J. Bashaw (5 shared papers)Long Yang (1 shared paper)Robert H. Ring (2 shared papers)Amita Sehgal (3 shared papers)Abigail Vigderman (3 shared papers)Michael P. O’Donnell (1 shared paper)Pranab K. Chanda (1 shared paper)Ying Gao (1 shared paper)
- Journals
- Journal of Neuroscience (2 papers)Development (2 papers)Critical Reviews in Biochemistry and Molecular Biology (1 paper)Cellular and Molecular Neurobiology (1 paper)Genetics (1 paper)
- Partner nations
- United States
In The Last Decade
David S. Garbe
14 papers receiving 620 citations
Peers
Comparison fields: 5 of 57
- Cellular and Molecular Neuroscience 402
- Developmental Neuroscience 88
- Endocrine and Autonomic Systems 124
- Aging 31
- Pharmacology 169
Countries citing papers authored by David S. Garbe
This map shows the geographic impact of David S. Garbe'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 David S. Garbe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David S. Garbe more than expected).
Fields of papers citing papers by David S. Garbe
This network shows the impact of papers produced by David S. Garbe. 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 David S. Garbe. The network helps show where David S. Garbe may publish in the future.
Co-authors
The 25 scholars most cited alongside David S. Garbe, 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 | 2010 | 182 | |
| 2 | 2009 | 63 | |
| 3 | 2004 | 56 | |
| 4 | 2013 | 47 | |
| 5 | 2015 | 45 | |
| 6 | 2007 | 37 | |
| 7 | 2007 | 36 | |
| 8 | 2016 | 36 | |
| 9 | 2006 | 30 | |
| 10 | 2016 | 29 | |
| 11 | 2012 | 21 | |
| 12 | 2004 | 16 | |
| 13 | 2008 | 16 | |
| 14 | 2020 | 11 |
About David S. Garbe
David S. Garbe is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Developmental Neuroscience, Endocrine and Autonomic Systems and Ecology, Evolution, Behavior and Systematics, having authored 14 papers that have together received 625 indexed citations. Recurring topics across this work include Axon Guidance and Neuronal Signaling (6 papers), Neurobiology and Insect Physiology Research (4 papers), Neurogenesis and neuroplasticity mechanisms (4 papers), Developmental Biology and Gene Regulation (3 papers), Circadian rhythm and melatonin (3 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers), Insect and Arachnid Ecology and Behavior (2 papers) and Protein Tyrosine Phosphatases (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (402 citations), Developmental Neuroscience (88 citations), Endocrine and Autonomic Systems (124 citations), Aging (31 citations) and Pharmacology (169 citations). David S. Garbe has collaborated with scholars based in United States. Frequent co-authors include Greg J. Bashaw, Long Yang, Robert H. Ring, Amita Sehgal, Abigail Vigderman, Michael P. O’Donnell, Pranab K. Chanda, Ying Gao, Meiyi Zhang and Lilly Mark. Their work appears in journals such as Journal of Neuroscience, Development, Critical Reviews in Biochemistry and Molecular Biology, Cellular and Molecular Neurobiology and Genetics.
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.