Daniel A. Nagode
Impact in
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- Neuroscience and Neuropharmacology Research
- Photoreceptor and optogenetics research
- Cognitive Neuroscience top 10%
- Neural dynamics and brain function
- Memory and Neural Mechanisms
Papers in
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- Neuroscience and Neuropharmacology Research 6
- Photoreceptor and optogenetics research 2
- Neuroscience and Neural Engineering 1
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- Memory and Neural Mechanisms 2
- Neural dynamics and brain function 2
- Co-authors
- Ai‐Hui Tang (4 shared papers)Bradley E. Alger (4 shared papers)Patrick O. Kanold (4 shared papers)Daniel E. Winkowski (3 shared papers)Matthias Klugmann (2 shared papers)Miranda A. Karson (2 shared papers)Xiangying Meng (2 shared papers)Joseph P. Y. Kao (2 shared papers)
- Journals
- Cerebral Cortex (2 papers)IEEE Transactions on Biomedical Engineering (1 paper)Frontiers in Synaptic Neuroscience (1 paper)Journal of Neuroscience (1 paper)PLoS ONE (1 paper)
- Partner nations
- United StatesAustraliaIndia
In The Last Decade
Daniel A. Nagode
8 papers receiving 349 citations
Peers
Comparison fields: 5 of 56
- Cellular and Molecular Neuroscience 231
- Cognitive Neuroscience 204
- Sensory Systems 34
- Developmental Neuroscience 13
- Neurology 18
Countries citing papers authored by Daniel A. Nagode
This map shows the geographic impact of Daniel A. Nagode'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 A. Nagode with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel A. Nagode more than expected).
Fields of papers citing papers by Daniel A. Nagode
This network shows the impact of papers produced by Daniel A. Nagode. 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 A. Nagode. The network helps show where Daniel A. Nagode may publish in the future.
Co-authors
The 22 scholars most cited alongside Daniel A. Nagode, 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 | 2011 | 78 | |
| 2 | 2016 | 65 | |
| 3 | 2017 | 56 | |
| 4 | 2011 | 46 | |
| 5 | 2014 | 38 | |
| 6 | 2013 | 34 | |
| 7 | 2019 | 27 | |
| 8 | 2017 | 8 |
About Daniel A. Nagode
Daniel A. Nagode is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Molecular Biology, Signal Processing and Computational Mechanics, having authored 8 papers that have together received 352 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (6 papers), Nicotinic Acetylcholine Receptors Study (2 papers), Memory and Neural Mechanisms (2 papers), Photoreceptor and optogenetics research (2 papers), Neural dynamics and brain function (2 papers), Ion channel regulation and function (1 paper), Neuroscience and Neural Engineering (1 paper) and Genetics and Neurodevelopmental Disorders (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (231 citations), Cognitive Neuroscience (204 citations), Sensory Systems (34 citations), Developmental Neuroscience (13 citations) and Neurology (18 citations). Daniel A. Nagode has collaborated with scholars based in United States, Australia and India. Frequent co-authors include Ai‐Hui Tang, Bradley E. Alger, Patrick O. Kanold, Daniel E. Winkowski, Matthias Klugmann, Miranda A. Karson, Xiangying Meng, Joseph P. Y. Kao, Kun Yang and Victor N. Uebele. Their work appears in journals such as Cerebral Cortex, IEEE Transactions on Biomedical Engineering, Frontiers in Synaptic Neuroscience, Journal of Neuroscience and PLoS ONE.
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.