Carme Espinet

1.0k citations
27 papers · 889 · h-index 15

Impact in

Papers in

Carme Espinet

27 papers receiving 871 citations

Peers

Carme Espinet
Comparison fields: 5 of 82
  • Developmental Neuroscience 111
  • Cellular and Molecular Neuroscience 304
  • Neurology 61
  • Molecular Biology 494
  • Physiology 155
Replace Miyahiko Murata with:
Miyahiko Murata Japan
Ilaria Palmisano United Kingdom
Shlomit Erlich Israel
Anna Zacco United States
Shoshona S. Le United States
Alfredo J. Miñano‐Molina Spain
Tomoko Tashiro Japan
Hiroko Yanagisawa Japan
M Beresewicz Poland
Jonathan D. Verrier United States
Carme Espinet relative to Miyahiko Murata Japan Miyahiko Murata's profile →
Citations per field
00.5×
Miyahiko Murata · 1×
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 2005134
2 199991
3 201887
4 199773
5 200665
6 199562
7 200150
8 200048
9 201539
10 199238
11 199133
12 199830
13 200925
14 199317
15 198416
16 201014
17 202114
18 202311
19 200710
20 20009

About Carme Espinet

Carme Espinet is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Developmental Neuroscience, Endocrinology, Diabetes and Metabolism and Cell Biology, having authored 27 papers that have together received 889 indexed citations. Recurring topics across this work include Nerve injury and regeneration (6 papers), Neurogenesis and neuroplasticity mechanisms (5 papers), Fungal and yeast genetics research (4 papers), Metabolism, Diabetes, and Cancer (4 papers), Cancer-related Molecular Pathways (3 papers), Axon Guidance and Neuronal Signaling (3 papers), Protein Kinase Regulation and GTPase Signaling (3 papers) and Diet, Metabolism, and Disease (3 papers). The work is most often cited by research in Developmental Neuroscience (111 citations), Cellular and Molecular Neuroscience (304 citations), Neurology (61 citations), Molecular Biology (494 citations) and Physiology (155 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, Enrique Herrero, Petar Podlesniy, Martí Aldea, María Ángeles de la Torre-Ruiz, Carlos E. Pedraza, Aksel Lange and S.J. Pilkis. Their work appears in journals such as American Journal Of Pathology, Journal of Neurochemistry, Yeast, Journal of Biological Chemistry 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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