Laura Mòdol

979 citations
21 papers · 742 · h-index 15

Impact in

Papers in

Laura Mòdol

21 papers receiving 738 citations

Peers

Laura Mòdol
Comparison fields: 5 of 73
  • Behavioral Neuroscience 105
  • Cellular and Molecular Neuroscience 349
  • Developmental Neuroscience 72
  • Geriatrics and Gerontology 45
  • Biological Psychiatry 27
Replace Jingde Dong with:
Jingde Dong China
Elisa Bisicchia Italy
Ángela Fontán‐Lozano Spain
Sandra D. Santos Portugal
Linda K. Friedman United States
Ewelina Pałasz Poland
Candice E. Van Skike United States
Matteo Spinelli Italy
Fong-Sen Wu Taiwan
Shahar Barbash Israel
Laura Mòdol relative to Jingde Dong China Jingde Dong's profile →
Citations per field
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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 2014177
2 201575
3 201974
4 201463
5 201955
6 201142
7 201434
8 201724
9 202422
10 201222
11 201321
12 201319
13 201318
14 201518
15 202318
16 201114
17 201312
18 201411
19 20189
20 20159

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 742 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), Photoreceptor and optogenetics research (4 papers), Neuropeptides and Animal Physiology (4 papers) and Pain Mechanisms and Treatments (3 papers). The work is most often cited by research in Behavioral Neuroscience (105 citations), Cellular and Molecular Neuroscience (349 citations), Developmental Neuroscience (72 citations), Geriatrics and Gerontology (45 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, Stefano Cobianchi, Sònia Darbra, Marc Pallarés, Renzo Mancuso, Víctor M. López-Álvarez, Ana Belén Granado‐Serrano, Anna Martínez‐Muriana, Omar Ramírez‐Núñez and Manuel Portero‐Otín. Their work appears in journals such as Neuron, Behavioural Brain Research, Pain, Psychoneuroendocrinology and PLoS Computational Biology.

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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