Daniel T. Pederick
Impact in
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- Neuroscience and Neuropharmacology Research
- Axon Guidance and Neuronal Signaling
- Neurobiology and Insect Physiology Research
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- Neurogenesis and neuroplasticity mechanisms
Papers in
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- Receptor Mechanisms and Signaling 2
- RNA regulation and disease 2
- CRISPR and Genetic Engineering 2
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- Neuroscience and Neuropharmacology Research 3
- Axon Guidance and Neuronal Signaling 2
- Neuropeptides and Animal Physiology 2
- Co-authors
- Liqun Luo (4 shared papers)Laura A. DeNardo (1 shared paper)Dominic S. Berns (1 shared paper)Paul Q. Thomas (4 shared papers)Sandra Piltz (3 shared papers)Jozef Gécz (2 shared papers)James N. Hughes (2 shared papers)Ingrid E. Scheffer (1 shared paper)
- Journals
- Current Biology (3 papers)Scientific Reports (1 paper)Genetics (1 paper)Nature (1 paper)Neuron (1 paper)
- Partner nations
- United StatesAustraliaCanada
In The Last Decade
Daniel T. Pederick
8 papers receiving 336 citations
Peers
Comparison fields: 5 of 58
- Cellular and Molecular Neuroscience 167
- Developmental Neuroscience 31
- Neurology 25
- Molecular Biology 201
- Genetics 77
Countries citing papers authored by Daniel T. Pederick
This map shows the geographic impact of Daniel T. Pederick'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 T. Pederick with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel T. Pederick more than expected).
Fields of papers citing papers by Daniel T. Pederick
This network shows the impact of papers produced by Daniel T. Pederick. 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 T. Pederick. The network helps show where Daniel T. Pederick may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel T. Pederick, 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 | 2018 | 116 | |
| 2 | 2018 | 87 | |
| 3 | 2021 | 45 | |
| 4 | 2016 | 45 | |
| 5 | 2017 | 20 | |
| 6 | 2023 | 14 | |
| 7 | 2018 | 7 | |
| 8 | 2021 | 3 | |
| 9 | 2026 | 0 | |
| 10 | 2026 | 0 |
About Daniel T. Pederick
Daniel T. Pederick is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Genetics, Cognitive Neuroscience and Neurology, having authored 10 papers that have together received 337 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (3 papers), Axon Guidance and Neuronal Signaling (2 papers), Receptor Mechanisms and Signaling (2 papers), RNA regulation and disease (2 papers), Neuropeptides and Animal Physiology (2 papers), CRISPR and Genetic Engineering (2 papers), Neurogenesis and neuroplasticity mechanisms (1 paper) and Genetics and Neurodevelopmental Disorders (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (167 citations), Developmental Neuroscience (31 citations), Neurology (25 citations), Molecular Biology (201 citations) and Genetics (77 citations). Daniel T. Pederick has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Liqun Luo, Laura A. DeNardo, Dominic S. Berns, Paul Q. Thomas, Sandra Piltz, Jozef Gécz, James N. Hughes, Ingrid E. Scheffer, Stefka Mincheva-Tasheva and Raman Kumar. Their work appears in journals such as Current Biology, Scientific Reports, Genetics, Nature and Neuron.
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.