Lidia Bravo

1.3k citations
22 papers · 957 indexed · h-index 14

Impact in

Papers in

Lidia Bravo

22 papers receiving 948 citations

Peers

Lidia Bravo
Comparison fields: 5 of 100
  • Biological Psychiatry 175
  • Behavioral Neuroscience 220
  • Cellular and Molecular Neuroscience 317
  • Physiology 408
  • Neurology 99
Replace Gyöngyi Horváth with:
Gyöngyi Horváth Hungary
Elisabeth Waltisperger France
Marc Verleye France
Chia‐Chuan Wang Taiwan
Jing‐Gen Liu China
M. Luisa Laorden Spain
J. Gibert‐Rahola Spain
Jukka Sallinen Finland
Lucía Hipólito Spain
Giordano de Guglielmo United States
Lidia Bravo relative to Gyöngyi Horváth Hungary Gyöngyi Horváth's profile →
Citations per field
00.5×1.5×2.0×
Gyöngyi Horváth · 1×
Citations per year

Countries citing papers authored by Lidia Bravo

Since Specialization
Citations

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

Fields of papers citing papers by Lidia Bravo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 202311
2 20238
3 20223
4 20228
5 202187
6 20218
7 202154
8 202012
9 202025
10 201978
11 201960
12 201817
13 20173
14 2017111
15 201617
16 2014122
17 201438
18 201343
19 2011138
20
[Factors associated with antidepressive placebo response: a review].
20022

About Lidia Bravo

Lidia Bravo is a scholar working on Behavioral Neuroscience, Cellular and Molecular Neuroscience, Physiology, Biological Psychiatry and Neurology, having authored 22 papers that have together received 957 indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (14 papers), Stress Responses and Cortisol (7 papers), Neuroscience and Neuropharmacology Research (7 papers), Neuropeptides and Animal Physiology (6 papers), Pain Management and Placebo Effect (3 papers), Ion channel regulation and function (2 papers), Neuroendocrine regulation and behavior (2 papers) and Genetics and Neurodevelopmental Disorders (2 papers). The work is most often cited by research in Biological Psychiatry (175 citations), Behavioral Neuroscience (220 citations), Cellular and Molecular Neuroscience (317 citations), Physiology (408 citations) and Neurology (99 citations). Lidia Bravo has collaborated with scholars based in Spain, United States and Portugal. Frequent co-authors include Esther Berrocoso, J.A. Micó, Meritxell Llorca-Torralba, Irene Suárez‐Pereira, Sonia Torres-Sánchez, Carmen Camarena-Delgado, Juan C. Leza, Laura Pérez-Caballero, Javier R. Caso and José L. M. Madrigal. Their work appears in journals such as Biological Psychiatry, Journal of Neuroinflammation, Expert Opinion on Drug Discovery, Pain and Progress in Neuro-Psychopharmacology 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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