Eva Coppola

1.1k citations
17 papers · 790 · h-index 14

Impact in

Papers in

    • Congenital heart defects research 4
    • Developmental Biology and Gene Regulation 4
    • Single-cell and spatial transcriptomics 2
    • Neuroscience and Neuropharmacology Research 5
    • Axon Guidance and Neuronal Signaling 4

Eva Coppola

17 papers receiving 785 citations

Peers

Eva Coppola
Comparison fields: 5 of 62
  • Developmental Neuroscience 199
  • Cellular and Molecular Neuroscience 298
  • Endocrine and Autonomic Systems 84
  • Sensory Systems 48
  • Molecular Biology 419
Replace Marc Davenne with:
Marc Davenne France
Maria M. Kreuzberg Germany
Anupama Sathyamurthy United States
C. Oscar Pintado Spain
Ketty Leto Italy
José Á. Armengol Spain
Leping Cheng China
Kenneth G. Ruit United States
Ingmar Bl�mcke Germany
Pierre Flandin United States
Eva Coppola relative to Marc Davenne France Marc Davenne's profile →
Citations per field
00.5×2.6×
Marc Davenne · 1×
Citations per year

Countries citing papers authored by Eva Coppola

Since Specialization
Citations

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

Fields of papers citing papers by Eva Coppola

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2014155
2 201195
3 201187
4 200882
5 200570
6 201047
7 201942
8 201542
9 201042
10 201630
11 201930
12 201822
13 201916
14 200214
15 20128
16 20197
17 20151

About Eva Coppola

Eva Coppola is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Developmental Neuroscience, Cell Biology and Genetics, having authored 17 papers that have together received 790 indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (6 papers), Neuroscience and Neuropharmacology Research (5 papers), Congenital heart defects research (4 papers), Axon Guidance and Neuronal Signaling (4 papers), Developmental Biology and Gene Regulation (4 papers), Genetics and Neurodevelopmental Disorders (3 papers), Zebrafish Biomedical Research Applications (3 papers) and Single-cell and spatial transcriptomics (2 papers). The work is most often cited by research in Developmental Neuroscience (199 citations), Cellular and Molecular Neuroscience (298 citations), Endocrine and Autonomic Systems (84 citations), Sensory Systems (48 citations) and Molecular Biology (419 citations). Eva Coppola has collaborated with scholars based in France, Italy and United States. Frequent co-authors include Jean‐François Brunet, Fabien D’Autréaux, Alessandra Pierani, Michèle Studer, Christo Goridis, Zoubida Chettouh, Christel Picard, Susan M. Dymecki, Isabel Espinosa-Medina and G. Giacomo Consalez. Their work appears in journals such as Cell Reports, Development, Proceedings of the National Academy of Sciences, Cerebral Cortex and The EMBO Journal.

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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