Marie Arlotto

27 total papers · 762 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 S100 Proteins and Annexins (3 papers), Prion Diseases and Protein Misfolding (3 papers) and Kruppel-like factors research (2 papers). Marie Arlotto is often cited by papers focused on S100 Proteins and Annexins (3 papers), Prion Diseases and Protein Misfolding (3 papers) and Kruppel-like factors research (2 papers). Marie Arlotto collaborates with scholars based in France, United States and Belgium. Marie Arlotto's co-authors include Sylvain Lehmann, Walid Rachidi, Alain Favier, J Riondel, François Berger, Didier Vilette, Hubert Laude, Pascale Guiraud, Noriyuki Nishida 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

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Marie Arlotto	495	194	170	75	59	16	611
Gregory Harrison	239 0.5×	99 0.5×	55 0.3×	55 0.7×	20 0.3×	14	565
Eszter Emri	308 0.6×	100 0.5×	33 0.2×	52 0.7×	24 0.4×	19	641
Tamao Endo	570 1.2×	91 0.5×	113 0.7×	50 0.7×	82 1.4×	17	658
G S Adrian	439 0.9×	100 0.5×	17 0.1×	36 0.5×	43 0.7×	16	609
Salvatore Valvo	251 0.5×	70 0.4×	39 0.2×	208 2.8×	54 0.9×	15	544
Zhengquan Yu	408 0.8×	65 0.3×	23 0.1×	60 0.8×	55 0.9×	25	666
Sylvia Torres-Odio	345 0.7×	23 0.1×	33 0.2×	144 1.9×	74 1.3×	16	567
Sue A. Bauldry	316 0.6×	47 0.2×	23 0.1×	236 3.1×	113 1.9×	11	527
Eirunn Knudsen	265 0.5×	45 0.2×	21 0.1×	249 3.3×	49 0.8×	17	526
J F Redman	332 0.7×	34 0.2×	39 0.2×	256 3.4×	163 2.8×	18	647

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

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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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