Daniel Alicata

1.7k citations
34 papers · 1.4k · h-index 17

Impact in

Papers in

Daniel Alicata

30 papers receiving 1.3k citations

Peers

Daniel Alicata
Comparison fields: 5 of 109
  • Biological Psychiatry 63
  • Cellular and Molecular Neuroscience 425
  • Toxicology 64
  • Psychiatry and Mental health 245
  • Cognitive Neuroscience 285
Replace Jennifer A. Geaga with:
Jennifer A. Geaga United States
Christine Cloak United States
Donna J. Lang Canada
Angelica M. Morales United States
Fleur M. Howells South Africa
Jennifer E. Bramen United States
John Gatley United States
Varughese Kurian United States
Victoria Di Sclafani United States
Jodi M. Gilman United States
Daniel Alicata relative to Jennifer A. Geaga United States Jennifer A. Geaga's profile →
Citations per field
00.5×
Jennifer A. Geaga · 1×
Citations per year

Countries citing papers authored by Daniel Alicata

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Alicata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel Alicata, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel Alicata Line = papers co-authored together Daniel Alicata links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007361
2 2014182
3 2002148
4 200267
5 201057
6 200856
7 201656
8 200955
9 201455
10 201043
11 201543
12 199241
13 201639
14 200532
15 199030
16 201727
17 201125
18 201515
19 201515
20 198913

About Daniel Alicata

Daniel Alicata is a scholar working on Cellular and Molecular Neuroscience, Clinical Psychology, Molecular Biology, Pharmacology and Pediatrics, Perinatology and Child Health, having authored 34 papers that have together received 1.4k indexed citations. Recurring topics across this work include Substance Abuse Treatment and Outcomes (4 papers), Advanced Neuroimaging Techniques and Applications (4 papers), Neurotransmitter Receptor Influence on Behavior (4 papers), Neuroscience and Neuropharmacology Research (3 papers), Cannabis and Cannabinoid Research (3 papers), Neuroscience and Neural Engineering (3 papers), Ion channel regulation and function (3 papers) and Child and Adolescent Psychosocial and Emotional Development (3 papers). The work is most often cited by research in Biological Psychiatry (63 citations), Cellular and Molecular Neuroscience (425 citations), Toxicology (64 citations), Psychiatry and Mental health (245 citations) and Cognitive Neuroscience (285 citations). Daniel Alicata has collaborated with scholars based in United States, Norway and Czechia. Frequent co-authors include Linda Chang, Thomas Ernst, Nora D. Volkow, Christine Cloak, Nancy C. Andreasen, Daniel S. OʼLeary, Beng‐Choon Ho, George King, John G. Starkus and Martin D. Rayner. Their work appears in journals such as Drug and Alcohol Dependence, Journal of Neuroimmune Pharmacology, Biophysical Journal, NeuroImage and American Journal of Psychiatry.

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.

Explore authors with similar magnitude of impact