Matilde Cordero‐Erausquin

2.5k citations
19 papers · 1.8k indexed · h-index 16

Matilde Cordero‐Erausquin

19 papers receiving 1.7k citations

Peers

Matilde Cordero‐Erausquin
Comparison fields: 5 of 85
  • Molecular Biology 1.4k
  • Cellular and Molecular Neuroscience 805
  • Physiology 350
  • Pharmacology 261
  • Cognitive Neuroscience 124
Replace Ming‐Gang Liu with:
Ming‐Gang Liu China
G. Daval France
Rubing Zhao-Shea United States
Daniel Ursu United Kingdom
Helen M. Kamens United States
Yvonne D. Rollins United States
Masago Ishikawa United States
P. Fossier France
Keith L. Shelton United States
Matilde Cordero‐Erausquin relative to Ming‐Gang Liu China Ming‐Gang Liu's profile →
Citations per field
00.5×4.3×
Ming‐Gang Liu · 1×
Citations per year

Countries citing papers authored by Matilde Cordero‐Erausquin

Since Specialization
Citations

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

Fields of papers citing papers by Matilde Cordero‐Erausquin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matilde Cordero‐Erausquin

This figure shows the co-authorship network connecting the top 25 collaborators of Matilde Cordero‐Erausquin. A scholar is included among the top collaborators of Matilde Cordero‐Erausquin 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 Cordero‐Erausquin. Matilde Cordero‐Erausquin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
#WorkIndexed citations
1 20
2 10
3 16
4 14
5 33
6 39
7 17
8 22
9 49
10 22
11 36
12 85
13 60
14 1
15 419
16 64
17 240
18 468
19 146

About Matilde Cordero‐Erausquin

Matilde Cordero‐Erausquin is a scholar working on Cellular and Molecular Neuroscience, Physiology and Pharmacology, having authored 19 papers that have together received 1.8k indexed citations. Recurring topics across this work include Nicotinic Acetylcholine Receptors Study (10 papers), Pain Mechanisms and Treatments (9 papers) and Ion channel regulation and function (7 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (805 citations), Molecular Biology (1.4k citations) and Pharmacology (261 citations). Matilde Cordero‐Erausquin has collaborated with scholars based in France, Canada and United States. Frequent co-authors include Jean‐Pierre Changeux, Lisa M. Marubio, Clément Léna, Nicolas Le Novère, María del Mar Arroyo Jiménez, Alban de Kerchove d’Exaerde, Ruby Klink, M. Imad Damaj, Monique Huchet and Jean-Pierre Changeux. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Neuroscience.

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