Pascale Bette‐Bobillo

790 citations
15 papers · 669 indexed · h-index 11
Topics
Extracellular vesicles in disease (4 papers)Erythrocyte Function and Pathophysiology (4 papers)Lipid Membrane Structure and Behavior (4 papers)
Partner nations
FranceGermanyMorocco

In The Last Decade

Pascale Bette‐Bobillo

15 papers receiving 652 citations

Peers

Pascale Bette‐Bobillo
Comparison fields: 5 of 83
  • Molecular Biology 526
  • Cancer Research 166
  • Immunology 156
  • Physiology 96
  • Cell Biology 49
Replace Josette Sainte‐Marie with:
Josette Sainte‐Marie France
Pam Tangvoranuntakul United States
Nadine Hein Australia
Desmond N. Jackson United States
Masazumi Terashima Japan
Catherine Déon France
Douglas G. Osborne United States
L. Tarcsay Switzerland
Urša Pečar Fonović Slovenia
Ziqi Zhang China
Pascale Bette‐Bobillo relative to Josette Sainte‐Marie France Josette Sainte‐Marie's profile →
Citations per field
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Josette Sainte‐Marie · 1×
Citations per year

Countries citing papers authored by Pascale Bette‐Bobillo

Since Specialization
Citations

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

Fields of papers citing papers by Pascale Bette‐Bobillo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pascale Bette‐Bobillo. 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 Pascale Bette‐Bobillo. The network helps show where Pascale Bette‐Bobillo may publish in the future.

Co-authorship network of co-authors of Pascale Bette‐Bobillo

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

All Works

15 of 15 papers shown
#WorkIndexed citations
1 39
2 245
3 19
4 57
5 87
6 37
7 16
8 16
9 3
10 7
11 10
12 19
13 99
14 4
15 11

About Pascale Bette‐Bobillo

Pascale Bette‐Bobillo is a scholar working on Physiology, Cell Biology and Immunology, having authored 15 papers that have together received 669 indexed citations. Recurring topics across this work include Extracellular vesicles in disease (4 papers), Erythrocyte Function and Pathophysiology (4 papers) and Lipid Membrane Structure and Behavior (4 papers). The work is most often cited by research in Cancer Research (166 citations), Molecular Biology (526 citations) and Immunology (156 citations). Pascale Bette‐Bobillo has collaborated with scholars based in France, Germany and Morocco. Frequent co-authors include Michel Vidal, Lionel Blanc, C. Barrès, R. Mamoun, Sabine André, Hans‐Joachim Gabius, Alain Bienvenüe, Philippe F. Devaux, Pierre Fellmann and Aude De Gassart. Their work appears in journals such as Blood, Biochemistry and Biochemical and Biophysical Research Communications.

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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