Arianna Ferro

862 total citations
31 papers, 542 citations indexed

About

Arianna Ferro is a scholar working on Epidemiology, Hepatology and Molecular Biology. According to data from OpenAlex, Arianna Ferro has authored 31 papers receiving a total of 542 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Epidemiology, 9 papers in Hepatology and 8 papers in Molecular Biology. Recurrent topics in Arianna Ferro's work include Liver Disease Diagnosis and Treatment (8 papers), Hepatitis B Virus Studies (7 papers) and Diabetes and associated disorders (4 papers). Arianna Ferro is often cited by papers focused on Liver Disease Diagnosis and Treatment (8 papers), Hepatitis B Virus Studies (7 papers) and Diabetes and associated disorders (4 papers). Arianna Ferro collaborates with scholars based in Italy, Brazil and Belarus. Arianna Ferro's co-authors include Marilena Durazzo, Gabriella Gruden, Giovanni Perconti, Salvatore Feo, Agata Giallongo, Rinaldo Pellicano, Letizia Carramusa, Luigi Minafra, Sharmila Fagoonee and Guglielmo Beccuti and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Arianna Ferro

27 papers receiving 535 citations

Peers

Arianna Ferro
Comparison fields: 5 of 86
  • Molecular Biology 238
  • Cancer Research 136
  • Epidemiology 134
  • Gastroenterology 116
  • Surgery 101
Replace Silvia Chiarelli with:
Silvia Chiarelli Italy
Luz Helena Gutierrez Sanchez United States
Jane C Oh South Korea
Shinichiro Yokota United States
Monika Tripathi United Kingdom
Ranji Hayashi Japan
Takashi Saito Japan
Silvia Kellermeier Switzerland
Youichi Miyaoka Japan
Linhua Ji China
Silvia Chiarelli Italy View profile →
Citations per field, relative to Arianna Ferro
Arianna Ferro · 1×
Citations per year, relative to Arianna Ferro
Arianna Ferro · 1×

Countries citing papers authored by Arianna Ferro

Since Specialization
Citations

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

Fields of papers citing papers by Arianna Ferro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arianna Ferro

This figure shows the co-authorship network connecting the top 25 collaborators of Arianna Ferro. A scholar is included among the top collaborators of Arianna Ferro 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 Arianna Ferro. Arianna Ferro 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 0
3 2
4 0
5 2
6 21
7 16
8 37
9 5
10 8
11 7
12 15
13 6
14 3
15 18
16 6
17 2
18 31
19 35
20 3

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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