Massimo Locatelli

174 total papers · 3.2k total citations
80 papers, 1.5k citations indexed

About

Massimo Locatelli is a scholar working on Infectious Diseases, Pathology and Forensic Medicine and Molecular Biology. According to data from OpenAlex, Massimo Locatelli has authored 80 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Infectious Diseases, 14 papers in Pathology and Forensic Medicine and 12 papers in Molecular Biology. Recurrent topics in Massimo Locatelli's work include COVID-19 Clinical Research Studies (21 papers), SARS-CoV-2 and COVID-19 Research (17 papers) and Vitamin D Research Studies (11 papers). Massimo Locatelli is often cited by papers focused on COVID-19 Clinical Research Studies (21 papers), SARS-CoV-2 and COVID-19 Research (17 papers) and Vitamin D Research Studies (11 papers). Massimo Locatelli collaborates with scholars based in Italy, Türkiye and Norway. Massimo Locatelli's co-authors include Davide Ferrari, Giuseppe Banfi, Marta Strollo, Federico Cabitza, Andréa Motta, Andrea Campagner, Chiara Di Resta, Stefano Frara, Luigi di Filippo and Andrea Giustina and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Clinical Endocrinology & Metabolism and Kidney International.

In The Last Decade

Massimo Locatelli

72 papers receiving 1.5k citations

Author Peers

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

Author Last Decade Papers Cites
Massimo Locatelli 657 396 195 189 166 80 1.5k
Aakriti Gupta 429 0.7× 153 0.4× 201 1.0× 84 0.4× 194 1.2× 65 1.8k
Dong Wook Kim 297 0.5× 236 0.6× 47 0.2× 71 0.4× 100 0.6× 92 1.5k
Felice Eugenio Agrò 502 0.8× 268 0.7× 102 0.5× 24 0.1× 248 1.5× 103 2.2k
Meifang Wang 951 1.4× 205 0.5× 81 0.4× 55 0.3× 571 3.4× 76 2.4k
Amir Reza Radmard 295 0.4× 260 0.7× 57 0.3× 90 0.5× 144 0.9× 75 1.5k
Ruwanthi Kolamunnage‐Dona 270 0.4× 90 0.2× 71 0.4× 104 0.6× 99 0.6× 72 2.0k
Mojtaba Sepandi 623 0.9× 98 0.2× 48 0.2× 42 0.2× 235 1.4× 113 1.8k
Yun Zhang 517 0.8× 669 1.7× 27 0.1× 75 0.4× 214 1.3× 74 1.7k
Gad Segal 192 0.3× 172 0.4× 48 0.2× 107 0.6× 62 0.4× 96 1.3k
Alex Milinovich 516 0.8× 95 0.2× 35 0.2× 105 0.6× 289 1.7× 77 2.0k

Countries citing papers authored by Massimo Locatelli

Since Specialization
Citations

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

Fields of papers citing papers by Massimo Locatelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Massimo Locatelli

This figure shows the co-authorship network connecting the top 25 collaborators of Massimo Locatelli. A scholar is included among the top collaborators of Massimo Locatelli 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 Massimo Locatelli. Massimo Locatelli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026