Daniela Avossa

1.3k citations
13 papers · 1.1k · h-index 12

Impact in

Papers in

Daniela Avossa

13 papers receiving 1.1k citations

Peers

Daniela Avossa
Comparison fields: 5 of 62
  • Developmental Neuroscience 166
  • Cell Biology 184
  • Cellular and Molecular Neuroscience 211
  • Molecular Biology 623
  • Neurology 57
Replace Octavian Voiculescu with:
Octavian Voiculescu United Kingdom
Khadar M. Abdi United States
Matthew G. Voas United States
Laura F. Gumy Netherlands
Yasushi Shimoda Japan
Katarína Tiklová Sweden
Tammy Szu‐Yu Ho United States
Thierry Doll Switzerland
Jacob H. Hines United States
Julien Falk France
Daniela Avossa relative to Octavian Voiculescu United Kingdom Octavian Voiculescu's profile →
Citations per field
00.5×1.5×
Octavian Voiculescu · 1×
Citations per year

Countries citing papers authored by Daniela Avossa

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Avossa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 1993422
2 1997263
3 1986102
4 200664
5 198559
6 200359
7 199338
8 200529
9 200122
10 200721
11 200921
12 200918
13 20098

About Daniela Avossa

Daniela Avossa is a scholar working on Cellular and Molecular Neuroscience, Developmental Neuroscience, Cell Biology, Molecular Biology and Neurology, having authored 13 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (4 papers), Axon Guidance and Neuronal Signaling (2 papers), RNA Research and Splicing (2 papers), Cellular transport and secretion (2 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), RNA and protein synthesis mechanisms (1 paper), Force Microscopy Techniques and Applications (1 paper) and Ion channel regulation and function (1 paper). The work is most often cited by research in Developmental Neuroscience (166 citations), Cell Biology (184 citations), Cellular and Molecular Neuroscience (211 citations), Molecular Biology (623 citations) and Neurology (57 citations). Daniela Avossa has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Kevin J. Ainger, John H. Carson, Elisa Barbarese, Frank Morgan, Sandra J. Hill, Christopher Taylor Barry, Michael Hortsch, David I. Meyer, Christopher Barry and Laura Ballerini. Their work appears in journals such as The Journal of Cell Biology, Neuroscience, Developmental Neurobiology, Journal of Cellular Physiology and European 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