Marco Denina

1.3k total citations
25 papers, 326 citations indexed

About

Marco Denina is a scholar working on Infectious Diseases, Epidemiology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Marco Denina has authored 25 papers receiving a total of 326 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Infectious Diseases, 8 papers in Epidemiology and 7 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Marco Denina's work include COVID-19 Clinical Research Studies (5 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and Respiratory viral infections research (3 papers). Marco Denina is often cited by papers focused on COVID-19 Clinical Research Studies (5 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and Respiratory viral infections research (3 papers). Marco Denina collaborates with scholars based in Italy and United States. Marco Denina's co-authors include Silvia Garazzino, Carlo Scolfaro, F Mignone, Giulia Pruccoli, Sergio Rosati, Luigi Bertolotti, Ugo Ramenghi, Matteo Chiarello, Franca Fagioli and Claudio Baggiani and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and The Journal of Infectious Diseases.

In The Last Decade

Marco Denina

20 papers receiving 320 citations

Peers

Marco Denina
Comparison fields: 5 of 66
  • Infectious Diseases 172
  • Molecular Biology 92
  • Biomedical Engineering 74
  • Epidemiology 66
  • Surgery 54
Replace Daniel Hornuß with:
Daniel Hornuß Germany
Sophie Amrane France
Jun Hyoung Kim South Korea
Satsuki Kakiuchi Japan
Francesca Lee United States
Tracy McMillen United States
Nidhi Tejan India
Edison Cano Cevallos United States
David Alonso Spain
Daniel Hornuß Germany View profile →
Citations per field, relative to Marco Denina
Marco Denina · 1×
Citations per year, relative to Marco Denina
Marco Denina · 1×

Countries citing papers authored by Marco Denina

Since Specialization
Citations

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

Fields of papers citing papers by Marco Denina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco Denina

This figure shows the co-authorship network connecting the top 25 collaborators of Marco Denina. A scholar is included among the top collaborators of Marco Denina 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 Marco Denina. Marco Denina 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 0
2 3
3 0
4 0
5 0
6 4
7 4
8 3
9 12
10 3
11 1
12 7
13 76
14 44
15 3
16 13
17 34
18 11
19 14
20 5

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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