Matilde Achaval

4.7k total citations
133 papers, 3.9k citations indexed

About

Matilde Achaval is a scholar working on Cellular and Molecular Neuroscience, Physiology and Neurology. According to data from OpenAlex, Matilde Achaval has authored 133 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Cellular and Molecular Neuroscience, 28 papers in Physiology and 21 papers in Neurology. Recurrent topics in Matilde Achaval's work include Neuroscience and Neuropharmacology Research (22 papers), Stress Responses and Cortisol (16 papers) and Pain Mechanisms and Treatments (16 papers). Matilde Achaval is often cited by papers focused on Neuroscience and Neuropharmacology Research (22 papers), Stress Responses and Cortisol (16 papers) and Pain Mechanisms and Treatments (16 papers). Matilde Achaval collaborates with scholars based in Brazil, Spain and Colombia. Matilde Achaval's co-authors include Alberto A. Rasia‐Filho, Léder Leal Xavier, Carlos Alexandre Netto, Jocemar Ilha, José R. Naranjo, Britt Mellström, Simone Marcuzzo, Lenir Orlandi Pereira, Patrícia Severo do Nascimento and Nice Sarmento Arteni and has published in prestigious journals such as Neuron, SHILAP Revista de lepidopterología and The Journal of Comparative Neurology.

In The Last Decade

Matilde Achaval

133 papers receiving 3.8k citations

Peers

Matilde Achaval
Comparison fields: 5 of 134
  • Cellular and Molecular Neuroscience 1.3k
  • Molecular Biology 688
  • Physiology 671
  • Pediatrics, Perinatology and Child Health 623
  • Neurology 572
Replace Farida Sohrabji with:
Farida Sohrabji United States
Geert M. J. Ramakers Netherlands
Christina L. Williams United States
M. Dulce Madeira Portugal
Francesco Angelucci Italy
Luciana Giardino Italy
Sondra T. Bland United States
Rachida Guennoun France
Jess Nithianantharajah Australia
Nobuo Okado Japan
Farida Sohrabji United States View profile →
Citations per field, relative to Matilde Achaval
Matilde Achaval · 1×
Citations per year, relative to Matilde Achaval
Matilde Achaval · 1×

Countries citing papers authored by Matilde Achaval

Since Specialization
Citations

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

Fields of papers citing papers by Matilde Achaval

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matilde Achaval

This figure shows the co-authorship network connecting the top 25 collaborators of Matilde Achaval. A scholar is included among the top collaborators of Matilde Achaval based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Matilde Achaval. Matilde Achaval is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 31
2 22
3 16
4 66
5 2
6 7
7 95
8 45
9 19
10 44
11 85
12 29
13 27
14 37
15 47
16 28
17 6
18 41
19 19
20 240

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026