M. Scaglia

124 total papers · 1.1k total citations
67 papers, 812 citations indexed

About

M. Scaglia is a scholar working on Parasitology, Infectious Diseases and Epidemiology. According to data from OpenAlex, M. Scaglia has authored 67 papers receiving a total of 812 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Parasitology, 27 papers in Infectious Diseases and 11 papers in Epidemiology. Recurrent topics in M. Scaglia's work include Parasitic Infections and Diagnostics (22 papers), Amoebic Infections and Treatments (17 papers) and Parasites and Host Interactions (8 papers). M. Scaglia is often cited by papers focused on Parasitic Infections and Diagnostics (22 papers), Amoebic Infections and Treatments (17 papers) and Parasites and Host Interactions (8 papers). M. Scaglia collaborates with scholars based in Italy, United States and Brazil. M. Scaglia's co-authors include S. Gatti, A. Bruno, A. M. Bernuzzi, C. Cevini, Chiara Atzori, Guido Chichino, Stefano Novati, M. Strosselli, S. Corona and Alfredo Raglio and has published in prestigious journals such as Applied and Environmental Microbiology, Clinical Infectious Diseases and The Journal of Infectious Diseases.

In The Last Decade

M. Scaglia

65 papers receiving 774 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. Scaglia 412 296 168 154 100 67 812
Simon Smith 141 0.3× 210 0.7× 114 0.7× 441 2.9× 52 0.5× 100 828
Gernot Walder 423 1.0× 560 1.9× 196 1.2× 97 0.6× 16 0.2× 48 1.0k
Krishna Khairnar 286 0.7× 399 1.3× 155 0.9× 107 0.7× 221 2.2× 39 932
Sang-Eun Lee 494 1.2× 267 0.9× 124 0.7× 150 1.0× 16 0.2× 79 963
J. A. Upcroft 751 1.8× 379 1.3× 52 0.3× 114 0.7× 44 0.4× 35 971
Muhammad Hammad Hussain 147 0.4× 167 0.6× 73 0.4× 158 1.0× 56 0.6× 58 784
Kosuke Haruki 150 0.4× 386 1.3× 151 0.9× 110 0.7× 41 0.4× 55 1.0k
Carlos Muñoz 137 0.3× 323 1.1× 40 0.2× 64 0.4× 31 0.3× 36 738
Priya Rajendran 123 0.3× 661 2.2× 131 0.8× 168 1.1× 68 0.7× 47 919
Subrat Kumar 70 0.2× 416 1.4× 59 0.4× 268 1.7× 44 0.4× 44 854

Countries citing papers authored by M. Scaglia

Since Specialization
Citations

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

Fields of papers citing papers by M. Scaglia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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