Maria Cannone

423 total citations
24 papers, 319 citations indexed

About

Maria Cannone is a scholar working on Epidemiology, Oncology and Surgery. According to data from OpenAlex, Maria Cannone has authored 24 papers receiving a total of 319 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Epidemiology, 7 papers in Oncology and 6 papers in Surgery. Recurrent topics in Maria Cannone's work include Tuberculosis Research and Epidemiology (4 papers), Cervical Cancer and HPV Research (4 papers) and Mycobacterium research and diagnosis (4 papers). Maria Cannone is often cited by papers focused on Tuberculosis Research and Epidemiology (4 papers), Cervical Cancer and HPV Research (4 papers) and Mycobacterium research and diagnosis (4 papers). Maria Cannone collaborates with scholars based in Italy, United States and Switzerland. Maria Cannone's co-authors include Massimo Barberis, Fulvio Baggi, F. Cornelio, Renato Mantegazza, Pia Bernasconi, Carmelo Arizzi, Silvano Bòsari, Guido Coggi, Caterina Pellegrini and L. Novellino and has published in prestigious journals such as Neurology, FEBS Letters and American Journal Of Pathology.

In The Last Decade

Maria Cannone

23 papers receiving 307 citations

Peers

Maria Cannone
Comparison fields: 5 of 69
  • Neurology 80
  • Epidemiology 78
  • Infectious Diseases 70
  • Oncology 66
  • Molecular Biology 60
Replace D. Binder with:
D. Binder Germany
Daniel Marrero–Rodríguez Mexico
Guangliang Qiang China
Thomas Hägglöf United States
Alessandra Cattaneo Italy
Jalila Alshekaili Oman
Joseph Mears United States
Michelle A. Penny United Kingdom
Dikan Wang China
Monica Dalal United States
D. Binder Germany View profile →
Citations per field, relative to Maria Cannone
Maria Cannone · 1×
Citations per year, relative to Maria Cannone
Maria Cannone · 1×

Countries citing papers authored by Maria Cannone

Since Specialization
Citations

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

Fields of papers citing papers by Maria Cannone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria Cannone

This figure shows the co-authorship network connecting the top 25 collaborators of Maria Cannone. A scholar is included among the top collaborators of Maria Cannone 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 Maria Cannone. Maria Cannone 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 1
2 2
3 1
4 0
5 5
6 16
7
Cervical cancer screening programs in low-income communities. Experiences from Ecuador. Low cost detection of HPV infection in a developing country.
4
8 56
9 1
10 54
11 2
12 2
13 11
14 23
15 9
16 6
17 3
18 21
19 33
20 9

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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