Maria Collu

3.8k citations
79 papers · 3.2k indexed · 1 hit paper · h-index 27

Impact in

Papers in

Maria Collu

79 papers receiving 3.1k citations

Hit Papers

Low doses of ethanol activate dopaminergic neurons in the ventral tegmental area 1985 · 621 citations
6211985202619982012200400600

Peers

Maria Collu
Comparison fields: 5 of 112
  • Cellular and Molecular Neuroscience 1.8k
  • Behavioral Neuroscience 193
  • Biological Psychiatry 115
  • Endocrine and Autonomic Systems 243
  • Pharmacology 459
Replace L. Charles Murrin with:
L. Charles Murrin United States
Thomas P. Blackburn United States
G L Gessa Italy
Mariella De Biasi United States
Sharon C. Cheetham United Kingdom
Karen E. Asin United States
Charles W. Schindler United States
Ting‐Kai Li United States
Lawrence D. Middaugh United States
Elio Acquas Italy
Maria Collu relative to L. Charles Murrin United States L. Charles Murrin's profile →
Citations per field
00.5×2.8×
L. Charles Murrin · 1×
Citations per year

Countries citing papers authored by Maria Collu

Since Specialization
Citations

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

Fields of papers citing papers by Maria Collu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Maria Collu, 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 Maria Collu Line = papers co-authored together Maria Collu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20202
2 20209
3 20203
4 201813
5 201510
6 201564
7 201433
8 201247
9 201117
10 20103
11 200734
12 20067
13 20029
14 199525
15 19927
16 199225
17 198954
18 19891
19 1988104
20 198420

About Maria Collu

Maria Collu is a scholar working on Cellular and Molecular Neuroscience, Behavioral Neuroscience, Endocrine and Autonomic Systems, Pharmacology and Biological Psychiatry, having authored 79 papers that have together received 3.2k indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (29 papers), Neuroscience and Neuropharmacology Research (25 papers), Neuroendocrine regulation and behavior (12 papers), Cannabis and Cannabinoid Research (11 papers), Receptor Mechanisms and Signaling (11 papers), Pain Mechanisms and Treatments (6 papers), Parkinson's Disease Mechanisms and Treatments (5 papers) and Neuropeptides and Animal Physiology (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.8k citations), Behavioral Neuroscience (193 citations), Biological Psychiatry (115 citations), Endocrine and Autonomic Systems (243 citations) and Pharmacology (459 citations). Maria Collu has collaborated with scholars based in Italy, United States and Canada. Frequent co-authors include Gian Luigi Gessa, Gino Serra, Giampaolo Mereu, Francesco Muntoni, Paolo S. D’Aquila, L Vargiu, HC Fibiger, Christopher M. Wilson, Walter Fratta and Paola Fadda. Their work appears in journals such as European Journal of Pharmacology, Pharmacological Research, Pharmacology Biochemistry and Behavior, Lipids in Health and Disease and Behavioural 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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2026