Florence Fassy

1.9k total citations · 2 hit papers
18 papers, 1.5k citations indexed

About

Florence Fassy is a scholar working on Molecular Biology, Epidemiology and Materials Chemistry. According to data from OpenAlex, Florence Fassy has authored 18 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 5 papers in Epidemiology and 4 papers in Materials Chemistry. Recurrent topics in Florence Fassy's work include Glycosylation and Glycoproteins Research (4 papers), Enzyme Structure and Function (4 papers) and Cell death mechanisms and regulation (3 papers). Florence Fassy is often cited by papers focused on Glycosylation and Glycoproteins Research (4 papers), Enzyme Structure and Function (4 papers) and Cell death mechanisms and regulation (3 papers). Florence Fassy collaborates with scholars based in France, United States and Austria. Florence Fassy's co-authors include John C. Reed, Santos A. Susín, Naoufal Zamzami, Éric Daugas, Hong‐Gang Wang, Stephan Geley, Guido Kroemer, Maria Castedo, Christine Miossec and Anita Diu‐Hercend and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Experimental Medicine and Journal of Virology.

In The Last Decade

Florence Fassy

18 papers receiving 1.5k citations

Hit Papers

The Central Executioner of Apoptosis: Multiple Connection... 1997 2026 2006 2016 1997 2014 100 200 300 400 500

Peers

Florence Fassy
Comparison fields: 5 of 94
  • Molecular Biology 1.0k
  • Epidemiology 411
  • Immunology 258
  • Cell Biology 164
  • Oncology 153
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Citations per field, relative to Florence Fassy
Florence Fassy · 1×
Citations per year, relative to Florence Fassy
Florence Fassy · 1×

Countries citing papers authored by Florence Fassy

Since Specialization
Citations

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

Fields of papers citing papers by Florence Fassy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Florence Fassy

This figure shows the co-authorship network connecting the top 25 collaborators of Florence Fassy. A scholar is included among the top collaborators of Florence Fassy 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 Florence Fassy. Florence Fassy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
# Work Indexed citations
1 15
2 8
3
A highly potent and selective Vps34 inhibitor alters vesicle trafficking and autophagy breakdown →
356
4 55
5 23
6 29
7 88
8 36
9 55
10 14
11 139
12 1
13
The Central Executioner of Apoptosis: Multiple Connections between Protease Activation and Mitochondria in Fas/APO-1/CD95- and Ceramide-induced Apoptosis breakdown →
561
14 32
15 76
16 1
17 6
18 1

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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