Marie Arlotto

767 total citations
16 papers, 611 citations indexed

About

Marie Arlotto is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Marie Arlotto has authored 16 papers receiving a total of 611 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 3 papers in Oncology and 2 papers in Genetics. Recurrent topics in Marie Arlotto's work include Prion Diseases and Protein Misfolding (3 papers), S100 Proteins and Annexins (3 papers) and Advanced Proteomics Techniques and Applications (2 papers). Marie Arlotto is often cited by papers focused on Prion Diseases and Protein Misfolding (3 papers), S100 Proteins and Annexins (3 papers) and Advanced Proteomics Techniques and Applications (2 papers). Marie Arlotto collaborates with scholars based in France, United States and Japan. Marie Arlotto's co-authors include Sylvain Lehmann, Alain Favier, J Riondel, Walid Rachidi, François Berger, Hubert Laude, Pascale Guiraud, Didier Vilette, Alain Mangé and Shigeru Katamine and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Blood.

In The Last Decade

Marie Arlotto

16 papers receiving 604 citations

Peers

Marie Arlotto
Comparison fields: 5 of 80
  • Molecular Biology 496
  • Nutrition and Dietetics 193
  • Neurology 170
  • Immunology 75
  • Physiology 59
Replace Connie W. Lam with:
Connie W. Lam United Kingdom
Ignacio V. Sandoval Spain
John L. Andrews United States
Maria Pia Testa United States
Teresa Aja Switzerland
Keizo Inoue Japan
Phyllis S. Frisa United States
Florian Rouaud Switzerland
Yolande Kroviarski France
F.W. Verheijen Netherlands
Connie W. Lam United Kingdom View profile →
Citations per field, relative to Marie Arlotto
Marie Arlotto · 1×
Citations per year, relative to Marie Arlotto
Marie Arlotto · 1×

Countries citing papers authored by Marie Arlotto

Since Specialization
Citations

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

Fields of papers citing papers by Marie Arlotto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marie Arlotto

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

All Works

16 of 16 papers shown
# Work Indexed citations
1 6
2 10
3 27
4 6
5 6
6 99
7 46
8 4
9 5
10 8
11 2
12 1
13 15
14 157
15 177
16 42

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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