Gianna Mazzarelli

22 total papers · 692 total citations
15 papers, 513 citations indexed

About

Gianna Mazzarelli is a scholar working on Epidemiology, Infectious Diseases and Small Animals. According to data from OpenAlex, Gianna Mazzarelli has authored 15 papers receiving a total of 513 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Epidemiology, 10 papers in Infectious Diseases and 9 papers in Small Animals. Recurrent topics in Gianna Mazzarelli's work include Mycobacterium research and diagnosis (12 papers), Infectious Diseases and Mycology (9 papers) and Tuberculosis Research and Epidemiology (8 papers). Gianna Mazzarelli is often cited by papers focused on Mycobacterium research and diagnosis (12 papers), Infectious Diseases and Mycology (9 papers) and Tuberculosis Research and Epidemiology (8 papers). Gianna Mazzarelli collaborates with scholars based in Italy, Morocco and Guadeloupe. Gianna Mazzarelli's co-authors include Enrico Tortoli, Alessandro Mariottini, Laura Rindi, Claudio Scarparo, P Piccoli, Carlo Garzelli, Reiner M. Kroppenstedt, Romano Mattei, María J. García and Martha Isabel Murcia and has published in prestigious journals such as Journal of Clinical Microbiology, Emerging infectious diseases and INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY.

In The Last Decade

Gianna Mazzarelli

15 papers receiving 495 citations

Author Peers

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

Author Last Decade Papers Cites
Gianna Mazzarelli 459 348 219 82 80 15 513
A. Varnerot 453 1.0× 324 0.9× 183 0.8× 86 1.0× 99 1.2× 11 508
Ludmila Naumann 560 1.2× 436 1.3× 190 0.9× 183 2.2× 73 0.9× 12 608
M. J. Gevaudan 384 0.8× 298 0.9× 160 0.7× 66 0.8× 114 1.4× 19 567
Fausta Ardito 323 0.7× 250 0.7× 129 0.6× 168 2.0× 61 0.8× 13 486
Krista Fissette 439 1.0× 322 0.9× 166 0.8× 114 1.4× 49 0.6× 15 494
K. H. Schröder 513 1.1× 329 0.9× 195 0.9× 77 0.9× 204 2.5× 19 619
P. Maureen Cassidy 435 0.9× 301 0.9× 195 0.9× 96 1.2× 38 0.5× 18 571
María Alice da Silva Telles 418 0.9× 354 1.0× 142 0.6× 94 1.1× 48 0.6× 27 480
A Devallois 510 1.1× 429 1.2× 178 0.8× 156 1.9× 95 1.2× 15 606
Carolyn K. Wallis 338 0.7× 232 0.7× 140 0.6× 61 0.7× 61 0.8× 16 523

Countries citing papers authored by Gianna Mazzarelli

Since Specialization
Citations

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

Fields of papers citing papers by Gianna Mazzarelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gianna Mazzarelli

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