M. Savioli

40 total papers · 720 total citations
17 papers, 131 citations indexed

About

M. Savioli is a scholar working on Nutrition and Dietetics, Molecular Biology and Critical Care and Intensive Care Medicine. According to data from OpenAlex, M. Savioli has authored 17 papers receiving a total of 131 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Nutrition and Dietetics, 4 papers in Molecular Biology and 3 papers in Critical Care and Intensive Care Medicine. Recurrent topics in M. Savioli's work include Clinical Nutrition and Gastroenterology (5 papers), Sepsis Diagnosis and Treatment (3 papers) and Sexual Differentiation and Disorders (2 papers). M. Savioli is often cited by papers focused on Clinical Nutrition and Gastroenterology (5 papers), Sepsis Diagnosis and Treatment (3 papers) and Sexual Differentiation and Disorders (2 papers). M. Savioli collaborates with scholars based in Italy and Guatemala. M. Savioli's co-authors include Luciano Gattinoni, Maria Luisa Caspani, G. Iapichino, Federico Polli, P. Spanu, Antonio Pesenti, Giacomo Bellani, Paolo Taccone, Massimo Cugno and Stefano Gatti and has published in prestigious journals such as Critical Care Medicine, Cellular and Molecular Life Sciences and Intensive Care Medicine.

In The Last Decade

M. Savioli

17 papers receiving 124 citations

Author Peers

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

Author Last Decade Papers Cites
M. Savioli 46 31 27 24 20 17 131
Morgan Henson 59 1.3× 23 0.7× 20 0.7× 23 1.0× 8 0.4× 18 150
Jinjiao Jiang 42 0.9× 24 0.8× 6 0.2× 18 0.8× 18 0.9× 24 217
Katarzyna Dembek 18 0.4× 9 0.3× 46 1.7× 34 1.4× 21 1.1× 22 242
Efrossini Briassouli 84 1.8× 42 1.4× 34 1.3× 17 0.7× 46 2.3× 20 259
Yongpo Jiang 58 1.3× 22 0.7× 4 0.1× 21 0.9× 14 0.7× 21 155
Carlotta Caprara 48 1.0× 10 0.3× 15 0.6× 45 1.9× 29 1.4× 20 221
Chandrashekar Bohra 49 1.1× 31 1.0× 83 3.1× 29 1.2× 6 0.3× 16 243
Hongsheng Zhao 75 1.6× 19 0.6× 5 0.2× 15 0.6× 38 1.9× 19 215
Ghazal Zoghi 69 1.5× 12 0.4× 32 1.2× 20 0.8× 6 0.3× 20 161
Reika Masuda 49 1.1× 31 1.0× 14 0.5× 16 0.7× 6 0.3× 26 217

Countries citing papers authored by M. Savioli

Since Specialization
Citations

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

Fields of papers citing papers by M. Savioli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Savioli

This figure shows the co-authorship network connecting the top 25 collaborators of M. Savioli. A scholar is included among the top collaborators of M. Savioli 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 M. Savioli. M. Savioli 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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