Irina Lassot

1.9k citations
19 papers · 1.5k indexed · 1 hit paper · h-index 15
Topics
Ubiquitin and proteasome pathways (12 papers)Cell death mechanisms and regulation (6 papers)Genetics and Neurodevelopmental Disorders (4 papers)

In The Last Decade

Irina Lassot

18 papers receiving 1.5k citations

Hit Papers

The F-box protein β-TrCP associates with phosphorylated β...19992026200820171999100200300400500

Peers

Irina Lassot
Comparison fields: 5 of 79
  • Molecular Biology 1.3k
  • Oncology 296
  • Cell Biology 282
  • Immunology 191
  • Cancer Research 159
Replace Mary Shen with:
Mary Shen United States
Jeffrey Winston United States
Paula Rickert United States
Thomas Slagsvold Norway
Kousuke Kasahara Japan
Keren Shtiegman Israel
Laura Magnaghi-Jaulin France
Miriam Fuchs United States
Gregory A. Horwitz United States
Julian P. Venables United Kingdom
Irina Lassot relative to Mary Shen United States Mary Shen's profile →
Citations per field
00.5×3.6×
Mary Shen · 1×
Citations per year

Countries citing papers authored by Irina Lassot

Since Specialization
Citations

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

Fields of papers citing papers by Irina Lassot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Irina Lassot

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

All Works

19 of 19 papers shown
#WorkIndexed citations
1 0
2 7
3 10
4 30
5 24
6 47
7 25
8 155
9 76
10 15
11 39
12 26
13 47
14 72
15 82
16 70
17 217
18
The F-box protein β-TrCP associates with phosphorylated β-catenin and regulates its activity in the cellbreakdown →
579
19 2

About Irina Lassot

Irina Lassot is a scholar working on Cell Biology, Molecular Biology and Virology, having authored 19 papers that have together received 1.5k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (12 papers), Cell death mechanisms and regulation (6 papers) and Genetics and Neurodevelopmental Disorders (4 papers). The work is most often cited by research in Molecular Biology (1.3k citations), Virology (86 citations) and Cell Biology (282 citations). Irina Lassot has collaborated with scholars based in France, United Kingdom and Spain. Frequent co-authors include Richard Bénarous, Florence Margottin-Goguet, Solange Desagher, Hervé Durand, Barbara Mojsa, Iris Albert, Christine Perret, Jean‐Paul Concordet, Paul Polakis and Bonnee Rubinfeld. Their work appears in journals such as Journal of Biological Chemistry, Molecular Cell and Molecular and Cellular 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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