Pau Celada

6.3k citations
84 papers · 5.0k · h-index 36

Impact in

Papers in

Pau Celada

84 papers receiving 4.9k citations

Peers

Pau Celada
Comparison fields: 5 of 109
  • Biological Psychiatry 542
  • Cellular and Molecular Neuroscience 3.6k
  • Behavioral Neuroscience 348
  • Cognitive Neuroscience 1.2k
  • Pharmacology 1.0k
Replace Gerard J. Marek with:
Gerard J. Marek United States
Albert Adell Spain
Roberto William Invernizzi Italy
Athina Markou United States
Mark D. Tricklebank United Kingdom
Frank I. Tarazi United States
Mostafa El Mansari Canada
Guy Debonnel Canada
Reinaldo Ν. Takahashi Brazil
Wouter Koek United States
Pau Celada relative to Gerard J. Marek United States Gerard J. Marek's profile →
Citations per field
00.5×1.5×
Gerard J. Marek · 1×
Citations per year

Countries citing papers authored by Pau Celada

Since Specialization
Citations

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

Fields of papers citing papers by Pau Celada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 84 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001406
2
The therapeutic role of 5-HT1A and 5-HT2A receptors in depression.
2004397
3 2013304
4 2013263
5 2001262
6 2005233
7 2002204
8 2005169
9 2001145
10 2007145
11 2011127
12 1999116
13 2005113
14 2001109
15 1999107
16 200896
17 201093
18 200686
19 200783
20 199379

About Pau Celada

Pau Celada is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Pharmacology, Cognitive Neuroscience and Neurology, having authored 84 papers that have together received 5.0k indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (57 papers), Neuroscience and Neuropharmacology Research (45 papers), Treatment of Major Depression (23 papers), Receptor Mechanisms and Signaling (20 papers), Neural dynamics and brain function (13 papers), Memory and Neural Mechanisms (9 papers), Nicotinic Acetylcholine Receptors Study (7 papers) and Tryptophan and brain disorders (6 papers). The work is most often cited by research in Biological Psychiatry (542 citations), Cellular and Molecular Neuroscience (3.6k citations), Behavioral Neuroscience (348 citations), Cognitive Neuroscience (1.2k citations) and Pharmacology (1.0k citations). Pau Celada has collaborated with scholars based in Spain, United States and Denmark. Frequent co-authors include Francesc Artigas, M. Victoria Puig, Albert Adell, Analı́a Bortolozzi, Lorenzo Díaz-Mataix, Josep M. Casanovas, James M. Tepper, Carlos A. Paladini, Guadalupe Mengod and Noemí Santana. Their work appears in journals such as European Neuropsychopharmacology, Neuropharmacology, The International Journal of Neuropsychopharmacology, Journal of Neurochemistry and Biological 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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