Eva Pericolini

2.4k total citations
66 papers, 1.9k citations indexed

About

Eva Pericolini is a scholar working on Infectious Diseases, Epidemiology and Microbiology. According to data from OpenAlex, Eva Pericolini has authored 66 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Infectious Diseases, 32 papers in Epidemiology and 19 papers in Microbiology. Recurrent topics in Eva Pericolini's work include Antifungal resistance and susceptibility (34 papers), Fungal Infections and Studies (29 papers) and Reproductive tract infections research (10 papers). Eva Pericolini is often cited by papers focused on Antifungal resistance and susceptibility (34 papers), Fungal Infections and Studies (29 papers) and Reproductive tract infections research (10 papers). Eva Pericolini collaborates with scholars based in Italy, United States and United Kingdom. Eva Pericolini's co-authors include Anna Vecchiarelli, Elena Gabrielli, Stefano Perito, Francesco Bistoni, Claudia Monari, Elio Cenci, Elena Roselletti, Arturo Casadevall, Andrea Ardizzoni and Samuele Sabbatini and has published in prestigious journals such as The Journal of Immunology, PLoS ONE and Scientific Reports.

In The Last Decade

Eva Pericolini

65 papers receiving 1.9k citations

Peers

Eva Pericolini
Comparison fields: 5 of 124
  • Infectious Diseases 869
  • Epidemiology 807
  • Molecular Biology 513
  • Immunology 404
  • Microbiology 389
Replace Stefano Perito with:
Stefano Perito Italy
Marcus Fulde Germany
Jeanette Wagener United Kingdom
Rebecca A. Drummond United Kingdom
Jigar V. Desai United States
Yutaka Terao Japan
Caroline Westwater United States
Chul Hee Choi South Korea
Natalia Elguezábal Spain
Constantine G. Haidaris United States
Stefano Perito Italy View profile →
Citations per field, relative to Eva Pericolini
Eva Pericolini · 1×
Citations per year, relative to Eva Pericolini
Eva Pericolini · 1×

Countries citing papers authored by Eva Pericolini

Since Specialization
Citations

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

Fields of papers citing papers by Eva Pericolini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eva Pericolini

This figure shows the co-authorship network connecting the top 25 collaborators of Eva Pericolini. A scholar is included among the top collaborators of Eva Pericolini 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 Eva Pericolini. Eva Pericolini 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 2
2 2
3 3
4 4
5 30
6 16
7 9
8 55
9 31
10 16
11 19
12 46
13 48
14 7
15 15
16 20
17 41
18 16
19 80
20 69

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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