Carmelo Massimo Maida

1.5k total citations
74 papers, 951 citations indexed

About

Carmelo Massimo Maida is a scholar working on Epidemiology, Infectious Diseases and Health. According to data from OpenAlex, Carmelo Massimo Maida has authored 74 papers receiving a total of 951 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Epidemiology, 32 papers in Infectious Diseases and 10 papers in Health. Recurrent topics in Carmelo Massimo Maida's work include Influenza Virus Research Studies (15 papers), Respiratory viral infections research (15 papers) and SARS-CoV-2 and COVID-19 Research (13 papers). Carmelo Massimo Maida is often cited by papers focused on Influenza Virus Research Studies (15 papers), Respiratory viral infections research (15 papers) and SARS-CoV-2 and COVID-19 Research (13 papers). Carmelo Massimo Maida collaborates with scholars based in Italy, Spain and United States. Carmelo Massimo Maida's co-authors include Francesco Vitale, Fabio Tramuto, Emanuele Amodio, Claudio Costantino, Alessandra Casuccio, Giuseppe Calamusa, Guglielmo Campus, Paolo Castiglia, Giuliana Solinas and Walter Mazzucco and has published in prestigious journals such as PLoS ONE, Bioresource Technology and ACS Applied Materials & Interfaces.

In The Last Decade

Carmelo Massimo Maida

73 papers receiving 927 citations

Peers

Carmelo Massimo Maida
Comparison fields: 5 of 122
  • Epidemiology 361
  • Infectious Diseases 280
  • Health 117
  • Health, Toxicology and Mutagenesis 92
  • Periodontics 89
Replace Luis Pablo Cruz‐Hervert with:
Luis Pablo Cruz‐Hervert Mexico
Alessio Facciolà Italy
Andrew F. Brouwer United States
Vincenza La Fauci Italy
Aamer Ikram Pakistan
Giovanni Boccia Italy
Didier Che France
Raffaele Squeri Italy
Elizabeth Mason United States
Emily Sydnor United States
Luis Pablo Cruz‐Hervert Mexico View profile →
Citations per field, relative to Carmelo Massimo Maida
Carmelo Massimo Maida · 1×
Citations per year, relative to Carmelo Massimo Maida
Carmelo Massimo Maida · 1×

Countries citing papers authored by Carmelo Massimo Maida

Since Specialization
Citations

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

Fields of papers citing papers by Carmelo Massimo Maida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carmelo Massimo Maida

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 4
2 6
3 8
4 6
5 7
6 21
7 20
8 8
9 31
10 14
11 5
12 19
13 33
14 13
15 18
16 7
17 7
18 73
19 1
20 12

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