Laura Mòdol

956 citations
21 papers · 701 · h-index 15

Impact in

Papers in

Laura Mòdol

21 papers receiving 700 citations

Peers

Laura Mòdol
Comparison fields: 5 of 72
  • Behavioral Neuroscience 109
  • Developmental Neuroscience 79
  • Cellular and Molecular Neuroscience 346
  • Geriatrics and Gerontology 43
  • Biological Psychiatry 27
Replace J.A. Aguirre with:
J.A. Aguirre Spain
Elisa Bisicchia Italy
Ángela Fontán‐Lozano Spain
Fong-Sen Wu Taiwan
Belén Gago Spain
Sandrine M. Géranton United Kingdom
Nice Sarmento Arteni Brazil
Patrick Nasrallah Lebanon
Filipa L. Campos Portugal
Laura Mòdol relative to J.A. Aguirre Spain J.A. Aguirre's profile →
Citations per field
00.5×3.4×
J.A. Aguirre · 1×
Citations per year

Countries citing papers authored by Laura Mòdol

Since Specialization
Citations

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

Fields of papers citing papers by Laura Mòdol

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014166
2 201572
3 201970
4 201459
5 201952
6 201142
7 201431
8 201222
9 201722
10 202421
11 201320
12 201319
13 201318
14 201516
15 202314
16 201113
17 201312
18 201411
19 20159
20 20189

About Laura Mòdol

Laura Mòdol is a scholar working on Cellular and Molecular Neuroscience, Behavioral Neuroscience, Cognitive Neuroscience, Social Psychology and Molecular Biology, having authored 21 papers that have together received 701 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (15 papers), Stress Responses and Cortisol (8 papers), Neuroendocrine regulation and behavior (5 papers), Neural dynamics and brain function (5 papers), Nerve injury and regeneration (4 papers), Neuropeptides and Animal Physiology (4 papers), Photoreceptor and optogenetics research (4 papers) and Pain Mechanisms and Treatments (3 papers). The work is most often cited by research in Behavioral Neuroscience (109 citations), Developmental Neuroscience (79 citations), Cellular and Molecular Neuroscience (346 citations), Geriatrics and Gerontology (43 citations) and Biological Psychiatry (27 citations). Laura Mòdol has collaborated with scholars based in Spain, France and United States. Frequent co-authors include Xavier Navarro, Sònia Darbra, Marc Pallarés, Stefano Cobianchi, Renzo Mancuso, Monique Vallée, Ana Belén Granado‐Serrano, Anna Martínez‐Muriana, Jaume del Valle and Mercè Pallàs. Their work appears in journals such as Behavioural Brain Research, Neuron, Pain, Psychoneuroendocrinology and Neurotherapeutics.

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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