Caroline Espil

454 citations
21 papers · 341 · h-index 11

Impact in

Papers in

Caroline Espil

19 papers receiving 333 citations

Peers

Caroline Espil
Comparison fields: 5 of 55
  • Genetics 69
  • Clinical Biochemistry 34
  • Cellular and Molecular Neuroscience 81
  • Molecular Biology 178
  • Neurology 31
Replace Willem De Ridder with:
Willem De Ridder Belgium
Jacopo Baldacci Italy
Mona Grimmel Germany
M.-L. Savontaus Finland
Satu Sandell Finland
Shiro Ozasa Japan
Daniela Bernardo Italy
Akihiko Miyauchi Japan
Sabine Specht United States
William Halliday Canada
Caroline Espil relative to Willem De Ridder Belgium Willem De Ridder's profile →
Citations per field
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Willem De Ridder · 1×
Citations per year

Countries citing papers authored by Caroline Espil

Since Specialization
Citations

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

Fields of papers citing papers by Caroline Espil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201955
2 201355
3 201046
4 202337
5 201834
6 202021
7 202014
8 201914
9 202213
10 202112
11 202411
12 202010
13 20239
14 20253
15 20172
16 20252
17 20211
18 20161
19 20251
20 20250

About Caroline Espil

Caroline Espil is a scholar working on Genetics, Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine, Molecular Biology and Genetics, having authored 21 papers that have together received 341 indexed citations. Recurring topics across this work include Neurogenetic and Muscular Disorders Research (9 papers), Muscle Physiology and Disorders (5 papers), Genetic Neurodegenerative Diseases (4 papers), Cardiomyopathy and Myosin Studies (4 papers), Congenital Anomalies and Fetal Surgery (3 papers), Hereditary Neurological Disorders (2 papers), Genomics and Rare Diseases (2 papers) and Lysosomal Storage Disorders Research (1 paper). The work is most often cited by research in Genetics (69 citations), Clinical Biochemistry (34 citations), Cellular and Molecular Neuroscience (81 citations), Molecular Biology (178 citations) and Neurology (31 citations). Caroline Espil has collaborated with scholars based in France, Denmark and India. Frequent co-authors include Christian Richelme, Christine Barnérias, Rouzier Cecile, Sylvie Bannwarth, Sylvie Tuffery‐Giraud, Annabelle Chaussenot, Claude Cances, Julie Miro, B. Chabrol and Valérie Serre. Their work appears in journals such as Neuromuscular Disorders, Neurology, Journal of Clinical Immunology, European Journal of Neurology and JAMA Network Open.

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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