Neus García

2.2k total citations
77 papers, 1.8k citations indexed

About

Neus García is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Neurology. According to data from OpenAlex, Neus García has authored 77 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Cellular and Molecular Neuroscience, 47 papers in Molecular Biology and 9 papers in Neurology. Recurrent topics in Neus García's work include Ion channel regulation and function (40 papers), Neuroscience and Neuropharmacology Research (32 papers) and Nerve injury and regeneration (28 papers). Neus García is often cited by papers focused on Ion channel regulation and function (40 papers), Neuroscience and Neuropharmacology Research (32 papers) and Nerve injury and regeneration (28 papers). Neus García collaborates with scholars based in Spain, United States and Argentina. Neus García's co-authors include Josep Tomàs, María A. Lanuza, Manel M. Santafé, Marta Tomàs, Núria Besalduch, Erica Hurtado, Víctor Cilleros‐Mañé, Osvaldo D. Uchitel, Teresa Obis and Xavier Calvet and has published in prestigious journals such as Journal of Neuroscience, Gastroenterology and The Journal of Comparative Neurology.

In The Last Decade

Neus García

77 papers receiving 1.8k citations

Peers

Neus García
Comparison fields: 5 of 87
  • Cellular and Molecular Neuroscience 1.2k
  • Molecular Biology 990
  • Surgery 255
  • Cell Biology 234
  • Neurology 219
Replace David P. Stirling with:
David P. Stirling United States
Wanda Setlik United States
Fátima Ferreirinha Portugal
Manel M. Santafé Spain
Han‐Seong Jeong South Korea
Staffan Holmqvist Sweden
Chuang Du United States
Antony Horton United Kingdom
Benedikt Brommer United States
Viviana Caputo Italy
David P. Stirling United States View profile →
Citations per field, relative to Neus García
Neus García · 1×
Citations per year, relative to Neus García
Neus García · 1×

Countries citing papers authored by Neus García

Since Specialization
Citations

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

Fields of papers citing papers by Neus García

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neus García

This figure shows the co-authorship network connecting the top 25 collaborators of Neus García. A scholar is included among the top collaborators of Neus García 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 Neus García. Neus García 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 12
2 5
3 9
4 25
5 18
6 18
7 17
8 29
9 24
10 5
11 10
12 11
13 32
14 16
15 72
16 20
17 25
18 15
19 52
20 148

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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2026