Daniel Alicata

1.7k citations
30 papers · 1.3k · h-index 16

Impact in

Papers in

Daniel Alicata

29 papers receiving 1.2k citations

Peers

Daniel Alicata
Comparison fields: 5 of 112
  • Biological Psychiatry 68
  • Cellular and Molecular Neuroscience 450
  • Toxicology 77
  • Psychiatry and Mental health 285
  • Cognitive Neuroscience 337
Replace Christine Cloak with:
Christine Cloak United States
Angelica M. Morales United States
Jennifer E. Bramen United States
Fleur M. Howells South Africa
Maria Leonido–Yee United States
E. H. Ellinwood United States
Jaana Föhr Finland
Ruth Salo United States
Donna J. Lang Canada
Andy C. Dean United States
Daniel Alicata relative to Christine Cloak United States Christine Cloak's profile →
Citations per field
00.5×1.6×
Christine Cloak · 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 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007339
2 2014160
3 2002141
4 200266
5 200854
6 201653
7 201051
8 200950
9 201446
10 201542
11 201042
12 199238
13 201637
14 200532
15 199030
16 201724
17 201515
18 201513
19 198913
20 20167

About Daniel Alicata

Daniel Alicata is a scholar working on Cellular and Molecular Neuroscience, Psychiatry and Mental health, Pediatrics, Perinatology and Child Health, Clinical Psychology and Radiology, Nuclear Medicine and Imaging, having authored 30 papers that have together received 1.3k indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (7 papers), Advanced Neuroimaging Techniques and Applications (5 papers), Neonatal and fetal brain pathology (4 papers), Substance Abuse Treatment and Outcomes (4 papers), Schizophrenia research and treatment (4 papers), Functional Brain Connectivity Studies (4 papers), Neuroscience and Neural Engineering (3 papers) and Cannabis and Cannabinoid Research (3 papers). The work is most often cited by research in Biological Psychiatry (68 citations), Cellular and Molecular Neuroscience (450 citations), Toxicology (77 citations), Psychiatry and Mental health (285 citations) and Cognitive Neuroscience (337 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, Martin D. Rayner, John G. Starkus and George King. Their work appears in journals such as Journal of Neuroimmune Pharmacology, Drug and Alcohol Dependence, 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.

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