Daniel J. Calcagnetti
- Cellular and Molecular Neuroscience top 1%
- Molecular Biology
- Cognitive Neuroscience top 5%
- Physiology top 5%
- Social Psychology top 5%
- Co-authors
- Martin SchechterMichael S. FanselowStephen G. HoltzmanFred J. HelmstetterLarry D. ReidStephen M. SiviyWayne D. BowenTerriann Crisp
- Topics
- Neurotransmitter Receptor Influence on Behavior (19 papers)Neuropeptides and Animal Physiology (15 papers)Pain Mechanisms and Treatments (13 papers)
- Journals
- Brain ResearchNeuroscience & Biobehavioral ReviewsJournal of Pharmacology and Experimental Therapeutics
- Partner nations
- United States
In The Last Decade
Daniel J. Calcagnetti
43 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 76
- Cellular and Molecular Neuroscience 1.2k
- Molecular Biology 538
- Cognitive Neuroscience 401
- Physiology 382
- Social Psychology 380
Countries citing papers authored by Daniel J. Calcagnetti
This map shows the geographic impact of Daniel J. Calcagnetti'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 J. Calcagnetti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel J. Calcagnetti more than expected).
Fields of papers citing papers by Daniel J. Calcagnetti
This network shows the impact of papers produced by Daniel J. Calcagnetti. 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 J. Calcagnetti. The network helps show where Daniel J. Calcagnetti may publish in the future.
Co-authorship network of co-authors of Daniel J. Calcagnetti
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel J. Calcagnetti. A scholar is included among the top collaborators of Daniel J. Calcagnetti 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 Daniel J. Calcagnetti. Daniel J. Calcagnetti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Effects of a bee pollen diet on the growth of the laboratory rat. | 6 |
| 2 | 44 | |
| 3 | 51 | |
| 4 | 7 | |
| 5 | 17 | |
| 6 | 17 | |
| 7 | 56 | |
| 8 | 8 | |
| 9 | 16 | |
| 10 | 17 | |
| 11 | 22 | |
| 12 | 14 | |
| 13 | 229 | |
| 14 | 8 | |
| 15 | 27 | |
| 16 | 12 | |
| 17 | 58 | |
| 18 | 50 | |
| 19 | 43 | |
| 20 | 12 |
About Daniel J. Calcagnetti
Daniel J. Calcagnetti is a scholar working on Cellular and Molecular Neuroscience, Sensory Systems and Behavioral Neuroscience, having authored 43 papers that have together received 1.7k indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (19 papers), Neuropeptides and Animal Physiology (15 papers) and Pain Mechanisms and Treatments (13 papers). The work is most often cited by research in Behavioral Neuroscience (311 citations), Cellular and Molecular Neuroscience (1.2k citations) and Sensory Systems (122 citations). Daniel J. Calcagnetti has collaborated with scholars based in United States. Frequent co-authors include Martin Schechter, Michael S. Fanselow, Stephen G. Holtzman, Fred J. Helmstetter, Larry D. Reid, Stephen M. Siviy, Wayne D. Bowen, Terriann Crisp, John E. Jalowiec and Joseph P. DeCola. Their work appears in journals such as Brain Research, Neuroscience & Biobehavioral Reviews and Journal of Pharmacology and Experimental Therapeutics.
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.