D. Fontana

1.2k citations
19 papers · 908 indexed · h-index 11
Topics
Neurotransmitter Receptor Influence on Behavior (7 papers)Receptor Mechanisms and Signaling (6 papers)Neuroscience and Neuropharmacology Research (4 papers)

In The Last Decade

D. Fontana

19 papers receiving 870 citations

Peers

D. Fontana
Comparison fields: 5 of 82
  • Cellular and Molecular Neuroscience 534
  • Molecular Biology 377
  • Cognitive Neuroscience 153
  • Physiology 143
  • Social Psychology 106
Replace Gary T. Shearman with:
Gary T. Shearman United States
D.B. Beleslin Czechia
Martin D. Hynes United States
M.R. Dzoljic Netherlands
Timo Viitamaa Finland
Alison Macaulay United Kingdom
Martin R. Cohen United States
Stuart Fielding United States
William Schallek United States
Yukie Kawahara Japan
D. Fontana relative to Gary T. Shearman United States Gary T. Shearman's profile →
Citations per field
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Gary T. Shearman · 1×
Citations per year

Countries citing papers authored by D. Fontana

Since Specialization
Citations

This map shows the geographic impact of D. Fontana'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 D. Fontana with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Fontana more than expected).

Fields of papers citing papers by D. Fontana

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D. Fontana. 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 D. Fontana. The network helps show where D. Fontana may publish in the future.

Co-authorship network of co-authors of D. Fontana

This figure shows the co-authorship network connecting the top 25 collaborators of D. Fontana. A scholar is included among the top collaborators of D. Fontana 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 D. Fontana. D. Fontana is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
#WorkIndexed citations
1 207
2 92
3 242
4 1
5 51
6 7
7 50
8 13
9
[Psychological problems related to the sexual stimulation video (SSV) test in the diagnosis of erectile disorders].
1
10 115
11 49
12 18
13 10
14 18
15 2
16 2
17 10
18 17
19 3

About D. Fontana

D. Fontana is a scholar working on Sensory Systems, Cellular and Molecular Neuroscience and Toxicology, having authored 19 papers that have together received 908 indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (7 papers), Receptor Mechanisms and Signaling (6 papers) and Neuroscience and Neuropharmacology Research (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (534 citations), Behavioral Neuroscience (54 citations) and Anesthesiology and Pain Medicine (69 citations). D. Fontana has collaborated with scholars based in United States, United Kingdom and Czechia. Frequent co-authors include Richard M. Eglen, Agu Pert, Robert M. Post, Erik H.F. Wong, Scott E. Daniels, Jeffrey R. Jasper, Richard J. Lewis, Richard E. Link, L. Hedley and Jessie L. Sutton. Their work appears in journals such as Brain Research, Journal of Pharmacology and Experimental Therapeutics and British Journal of Pharmacology.

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.

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