Carme Espinet

1.1k citations
27 papers · 913 · h-index 15

Impact in

Papers in

Carme Espinet

27 papers receiving 888 citations

Peers

Carme Espinet
Comparison fields: 5 of 83
  • Developmental Neuroscience 116
  • Cellular and Molecular Neuroscience 317
  • Neurology 62
  • Molecular Biology 496
  • Physiology 166
Replace Lawrence Austin with:
Lawrence Austin Australia
Gianluca Figlia Germany
Shlomit Erlich Israel
Anna Zacco United States
Shoshona S. Le United States
Morgan G. Stykel Canada
Jonathan D. Verrier United States
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Monika Poppe Germany
Ratneswary Sutharsan Australia
Carme Espinet relative to Lawrence Austin Australia Lawrence Austin's profile →
Citations per field
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Citations per year

Countries citing papers authored by Carme Espinet

Since Specialization
Citations

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

Fields of papers citing papers by Carme Espinet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005143
2 199992
3 201888
4 199777
5 200669
6 199560
7 200151
8 200048
9 201540
10 199239
11 199133
12 199830
13 200928
14 199317
15 198416
16 201015
17 202113
18 202312
19 200710
20 20009

About Carme Espinet

Carme Espinet is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience, Molecular Biology, Endocrinology, Diabetes and Metabolism and Cell Biology, having authored 27 papers that have together received 913 indexed citations. Recurring topics across this work include Nerve injury and regeneration (6 papers), Neurogenesis and neuroplasticity mechanisms (5 papers), Metabolism, Diabetes, and Cancer (4 papers), Fungal and yeast genetics research (4 papers), Axon Guidance and Neuronal Signaling (3 papers), Diet, Metabolism, and Disease (3 papers), Protein Kinase Regulation and GTPase Signaling (3 papers) and Cancer-related Molecular Pathways (3 papers). The work is most often cited by research in Developmental Neuroscience (116 citations), Cellular and Molecular Neuroscience (317 citations), Neurology (62 citations), Molecular Biology (496 citations) and Physiology (166 citations). Carme Espinet has collaborated with scholars based in Spain, United States and Germany. Frequent co-authors include Joaquim Egea, Joan X. Comella, Isidró Ferrer, Petar Podlesniy, Martí Aldea, Enrique Herrero, Montse Iglesias, Juan Carlos Arévalo, Noemí Vidal and Carlos E. Pedraza. Their work appears in journals such as Yeast, Journal of Biological Chemistry, Journal of Neurochemistry, American Journal Of Pathology and FEBS Letters.

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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