Margalida Coll-Andreu

25 papers receiving 399 citations

Peers

Margalida Coll-Andreu
Comparison fields: 5 of 64
  • Behavioral Neuroscience 77
  • Developmental Neuroscience 46
  • Cognitive Neuroscience 154
  • Neurology 60
  • Cellular and Molecular Neuroscience 118
Replace Meritxell Torras-García with:
Meritxell Torras-García Spain
Isabel Portell-Cortés Spain
Shao-Ying Cheng United States
L.M. de Oliveira Canada
John I. Broussard United States
Sangkwan Lee South Korea
Min-Chul Shin South Korea
Claudia Falfán-Melgoza Germany
André Veloso Lima Rueda Brazil
Linette Liqi Tan Germany
Margalida Coll-Andreu relative to Meritxell Torras-García Spain Meritxell Torras-García's profile →
Citations per field
00.5×1.5×
Meritxell Torras-García · 1×
Citations per year

Countries citing papers authored by Margalida Coll-Andreu

Since Specialization
Citations

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

Fields of papers citing papers by Margalida Coll-Andreu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Margalida Coll-Andreu. 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 Margalida Coll-Andreu. The network helps show where Margalida Coll-Andreu may publish in the future.

Co-authors

The 18 scholars most cited alongside Margalida Coll-Andreu, 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 Margalida Coll-Andreu Line = papers co-authored together Margalida Coll-Andreu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201463
2 200955
3 200543
4 202123
5 198922
6 199522
7 202018
8 202017
9 199717
10 199916
11 200314
12 200114
13 200913
14 199111
15 201510
16 19989
17 20067
18 20137
19 20045
20 20244

About Margalida Coll-Andreu

Margalida Coll-Andreu is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Epidemiology, Neurology and Behavioral Neuroscience, having authored 25 papers that have together received 403 indexed citations. Recurring topics across this work include Memory and Neural Mechanisms (10 papers), Neurotransmitter Receptor Influence on Behavior (8 papers), Traumatic Brain Injury Research (7 papers), Traumatic Brain Injury and Neurovascular Disturbances (6 papers), Stress Responses and Cortisol (6 papers), Neuroendocrine regulation and behavior (5 papers), Olfactory and Sensory Function Studies (3 papers) and Sleep and Wakefulness Research (3 papers). The work is most often cited by research in Behavioral Neuroscience (77 citations), Developmental Neuroscience (46 citations), Cognitive Neuroscience (154 citations), Neurology (60 citations) and Cellular and Molecular Neuroscience (118 citations). Margalida Coll-Andreu has collaborated with scholars based in Spain, United States and Canada. Frequent co-authors include Isabel Portell-Cortés, David Costa‐Miserachs, Meritxell Torras-García, Ignacio Morgado-Bernal, Margarita Martı́-Nicolovius, Cesar V. Borlongan, Gemma Guillazo‐Blanch, Anna Vale-Martı́nez, Ramón Trullás and Roser Nadal. Their work appears in journals such as Behavioural Brain Research, Experimental Brain Research, Experimental Neurology, Neurobiology of Learning and Memory and Physiology & Behavior.

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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