David D. Aguilar
- Cellular and Molecular Neuroscience top 10%
- Cognitive Neuroscience top 10%
- Pharmacology
- Endocrine and Autonomic Systems
- Molecular Biology
- Co-authors
- Andrea GiuffridaDaniel J. LodgeJames M. McNallyAlexandre SeillierRobert E. StreckerRadhika BasheerLiang ChenRitchie E. Brown
- Topics
- Neuroscience and Neuropharmacology Research (7 papers)Cannabis and Cannabinoid Research (5 papers)Neurotransmitter Receptor Influence on Behavior (5 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of NeurophysiologyScientific Reports
- Partner nations
- United States
In The Last Decade
David D. Aguilar
14 papers receiving 315 citations
Peers
Comparison fields: 5 of 49
- Cellular and Molecular Neuroscience 143
- Cognitive Neuroscience 134
- Pharmacology 89
- Endocrine and Autonomic Systems 47
- Molecular Biology 37
Countries citing papers authored by David D. Aguilar
This map shows the geographic impact of David D. Aguilar'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 D. Aguilar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David D. Aguilar more than expected).
Fields of papers citing papers by David D. Aguilar
This network shows the impact of papers produced by David D. Aguilar. 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 D. Aguilar. The network helps show where David D. Aguilar may publish in the future.
Co-authorship network of co-authors of David D. Aguilar
This figure shows the co-authorship network connecting the top 25 collaborators of David D. Aguilar. A scholar is included among the top collaborators of David D. Aguilar based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David D. Aguilar. David D. Aguilar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 14 | |
| 3 | 21 | |
| 4 | 31 | |
| 5 | 28 | |
| 6 | 10 | |
| 7 | 25 | |
| 8 | 40 | |
| 9 | 41 | |
| 10 | 1 | |
| 11 | 24 | |
| 12 | 12 | |
| 13 | 24 | |
| 14 | 42 |
About David D. Aguilar
David D. Aguilar is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Endocrine and Autonomic Systems, having authored 14 papers that have together received 316 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (7 papers), Cannabis and Cannabinoid Research (5 papers) and Neurotransmitter Receptor Influence on Behavior (5 papers). The work is most often cited by research in Biological Psychiatry (28 citations), Cellular and Molecular Neuroscience (143 citations) and Cognitive Neuroscience (134 citations). David D. Aguilar has collaborated with scholars based in United States. Frequent co-authors include Andrea Giuffrida, Daniel J. Lodge, James M. McNally, Alexandre Seillier, Robert E. Strecker, Radhika Basheer, Liang Chen, Ritchie E. Brown, James T Mckenna and David S. Uygun. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Neurophysiology and Scientific Reports.
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.