Mercè Correa

11.3k citations
141 papers · 8.6k indexed · 3 hit papers · h-index 48

Mercè Correa

137 papers receiving 8.5k citations

Hit Papers

The Mysterious Motivational Functions of Mesolimbi...9912002202620102018250500750

Peers

Mercè Correa
Comparison fields: 5 of 148
  • Behavioral Neuroscience 1.2k
  • Cellular and Molecular Neuroscience 5.3k
  • Biological Psychiatry 589
  • Cognitive Neuroscience 2.7k
  • Physiology 545
Replace John D. Salamone with:
John D. Salamone United States
Steven R. Goldberg United States
Patricia H. Janak United States
Giovanni Laviola Italy
David M. Bannerman United Kingdom
Anton N. M. Schoffelmeer Netherlands
G. Di Chiara Italy
Antonello Bonci United States
Rainer K.W. Schwarting Germany
Richard J Beninger Canada
Mercè Correa relative to John D. Salamone United States John D. Salamone's profile →
Citations per field
00.5×1.5×
John D. Salamone · 1×
Citations per year

Countries citing papers authored by Mercè Correa

Since Specialization
Citations

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

Fields of papers citing papers by Mercè Correa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20254
2 20250
3 20240
4 20235
5 202013
6 201825
7 2016251
8 201518
9 201498
10 201326
11 201386
12 2012100
13 201256
14
The Mysterious Motivational Functions of Mesolimbic Dopaminebreakdown →
2012991
15 201221
16 201128
17 200966
18 200941
19 2003104
20 199939

About Mercè Correa

Mercè Correa is a scholar working on Cellular and Molecular Neuroscience, Behavioral Neuroscience and Physiology, having authored 141 papers that have together received 8.6k indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (97 papers), Neuroscience and Neuropharmacology Research (37 papers), Neuroendocrine regulation and behavior (22 papers), Stress Responses and Cortisol (20 papers), Adenosine and Purinergic Signaling (20 papers), Receptor Mechanisms and Signaling (19 papers), Neurological disorders and treatments (14 papers) and Parkinson's Disease Mechanisms and Treatments (12 papers). The work is most often cited by research in Behavioral Neuroscience (1.2k citations), Cellular and Molecular Neuroscience (5.3k citations) and Biological Psychiatry (589 citations). Mercè Correa has collaborated with scholars based in United States, Spain and Germany. Frequent co-authors include John D. Salamone, Susana Mingote, Laura López‐Cruz, Andrew M. Farrar, Samantha E. Yohn, Carlos M.G. Aragón, Marta Pardo, Noemí San Miguel, Eric J. Nunes and Patrick A. Randall. Their work appears in journals such as Psychopharmacology, Pharmacology Biochemistry and Behavior, Behavioural Brain Research, Neuroscience and Frontiers in Behavioral Neuroscience.

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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