Maria Luisa Simone

25 total papers · 673 total citations
17 papers, 517 citations indexed

About

Maria Luisa Simone is a scholar working on Molecular Biology, Surgery and Genetics. According to data from OpenAlex, Maria Luisa Simone has authored 17 papers receiving a total of 517 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Surgery and 5 papers in Genetics. Recurrent topics in Maria Luisa Simone's work include Lipoproteins and Cardiovascular Health (6 papers), Lipid metabolism and disorders (3 papers) and Protein Kinase Regulation and GTPase Signaling (3 papers). Maria Luisa Simone is often cited by papers focused on Lipoproteins and Cardiovascular Health (6 papers), Lipid metabolism and disorders (3 papers) and Protein Kinase Regulation and GTPase Signaling (3 papers). Maria Luisa Simone collaborates with scholars based in Italy, United States and Türkiye. Maria Luisa Simone's co-authors include Antonella Grottola, Sara Tagliazucchi, Giuseppe Longo, Federica Monaco, Giovanni Savini, Rossella Lelli, Fabio Rumpianesi, Monica Pecorari, William Gennari and S. Calandra and has published in prestigious journals such as Scientific Reports, Biochemical and Biophysical Research Communications and Arteriosclerosis Thrombosis and Vascular Biology.

In The Last Decade

Maria Luisa Simone

17 papers receiving 502 citations

Author Peers

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

Author						Papers	Cites
Maria Luisa Simone	210	191	127	105	83	17	517
William H. Dietz	217 1.0×	80 0.4×	129 1.0×	91 0.9×	36 0.4×	19	610
Maria Rosaria Bassi	156 0.7×	137 0.7×	196 1.5×	37 0.4×	110 1.3×	23	472
Shannon Townsend	286 1.4×	65 0.3×	162 1.3×	110 1.0×	74 0.9×	13	562
Gabriele Blahnik	176 0.8×	179 0.9×	158 1.2×	91 0.9×	116 1.4×	10	598
José Ramos‐Castañeda	250 1.2×	167 0.9×	186 1.5×	67 0.6×	48 0.6×	21	618
Alexandra Davies	104 0.5×	68 0.4×	91 0.7×	43 0.4×	58 0.7×	26	466
Rafael Fenutría	43 0.2×	78 0.4×	181 1.4×	70 0.7×	52 0.6×	12	536
Amelina Albornoz	117 0.6×	136 0.7×	189 1.5×	38 0.4×	29 0.3×	12	563
Lucie Schwarzová	79 0.4×	154 0.8×	205 1.6×	65 0.6×	35 0.4×	21	542
Yasuji Amano	41 0.2×	102 0.5×	92 0.7×	43 0.4×	43 0.5×	23	539

Countries citing papers authored by Maria Luisa Simone

Since Specialization

Citations

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

Fields of papers citing papers by Maria Luisa Simone

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maria Luisa Simone. 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 Maria Luisa Simone. The network helps show where Maria Luisa Simone may publish in the future.

Co-authorship network of co-authors of Maria Luisa Simone

This figure shows the co-authorship network connecting the top 25 collaborators of Maria Luisa Simone. A scholar is included among the top collaborators of Maria Luisa Simone 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 Maria Luisa Simone. Maria Luisa Simone 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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