Eugenio Fava

5.9k citations
26 papers · 3.5k indexed · 2 hit papers · h-index 19
Topics
Neuroscience and Neuropharmacology Research (6 papers)Cell death mechanisms and regulation (5 papers)Cellular transport and secretion (4 papers)

In The Last Decade

Eugenio Fava

25 papers receiving 3.4k citations

Hit Papers

Image-based analysis of lipid nanoparticle–mediated s...2005202620122019201320054008001.2k

Peers

Eugenio Fava
Comparison fields: 5 of 123
  • Molecular Biology 2.5k
  • Cell Biology 664
  • Cellular and Molecular Neuroscience 348
  • Physiology 300
  • Immunology 293
Replace Leo Price with:
Leo Price Netherlands
Philipp Niethammer United States
Mousumi Ghosh United States
Woo Keun Song South Korea
Margit Pavelka Austria
Gustavo Egea Spain
Aleksander F. Sikorski Poland
Giovanni Marsico United Kingdom
Hyungjin Kim United States
Patrick Lajoie Canada
Eugenio Fava relative to Leo Price Netherlands Leo Price's profile →
Citations per field
00.5×1.5×1.8×
Leo Price · 1×
Citations per year

Countries citing papers authored by Eugenio Fava

Since Specialization
Citations

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

Fields of papers citing papers by Eugenio Fava

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eugenio Fava

This figure shows the co-authorship network connecting the top 25 collaborators of Eugenio Fava. A scholar is included among the top collaborators of Eugenio Fava based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Eugenio Fava. Eugenio Fava is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 1
3 26
4 24
5 11
6 17
7
Image-based analysis of lipid nanoparticle–mediated siRNA delivery, intracellular trafficking and endosomal escapebreakdown →
1232
8 53
9 40
10 50
11 221
12 25
13 33
14 100
15 227
16 52
17 129
18 7
19 123
20 7

About Eugenio Fava

Eugenio Fava is a scholar working on Biophysics, Cellular and Molecular Neuroscience and Cell Biology, having authored 26 papers that have together received 3.5k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (6 papers), Cell death mechanisms and regulation (5 papers) and Cellular transport and secretion (4 papers). The work is most often cited by research in Cell Biology (664 citations), Molecular Biology (2.5k citations) and Biophysics (187 citations). Eugenio Fava has collaborated with scholars based in Germany, United Kingdom and Italy. Frequent co-authors include Marino Zerial, Pierluigi Nicotera, Marcel Leist, Bianca Habermann, Yannis Kalaidzidis, Martin Stöter, Hannes Grabner, Eberhard Krausz, Michael Hannus and Lucas Pelkmans. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and The Journal of Cell Biology.

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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