Daniela Cabibi

6.4k total citations · 1 hit paper
160 papers, 4.2k citations indexed

About

Daniela Cabibi is a scholar working on Epidemiology, Hepatology and Surgery. According to data from OpenAlex, Daniela Cabibi has authored 160 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Epidemiology, 46 papers in Hepatology and 34 papers in Surgery. Recurrent topics in Daniela Cabibi's work include Liver Disease Diagnosis and Treatment (67 papers), Hepatitis C virus research (27 papers) and Liver Diseases and Immunity (20 papers). Daniela Cabibi is often cited by papers focused on Liver Disease Diagnosis and Treatment (67 papers), Hepatitis C virus research (27 papers) and Liver Diseases and Immunity (20 papers). Daniela Cabibi collaborates with scholars based in Italy, United States and United Kingdom. Daniela Cabibi's co-authors include Antonio Craxı̀, V. Di Marco, Salvatore Petta, Calogero Cammà, Giulio Marchesini, Anna Licata, Fabio Salvatore Macaluso, Rossana Porcasi, Stefania Grimaudo and Marcello Maida and has published in prestigious journals such as Circulation, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Daniela Cabibi

156 papers receiving 4.1k citations

Hit Papers

Applications of Artificial Intelligence, Deep Learning, a... 2025 2026 2025 5 10 15

Peers

Daniela Cabibi
Comparison fields: 5 of 123
  • Epidemiology 2.6k
  • Hepatology 1.5k
  • Endocrinology, Diabetes and Metabolism 804
  • Pathology and Forensic Medicine 731
  • Surgery 677
Replace Toshihiko Mizuta with:
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Indra Neil Guha United Kingdom
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Toshihiko Mizuta Japan View profile →
Citations per field, relative to Daniela Cabibi
Daniela Cabibi · 1×
Citations per year, relative to Daniela Cabibi
Daniela Cabibi · 1×

Countries citing papers authored by Daniela Cabibi

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Cabibi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniela Cabibi

This figure shows the co-authorship network connecting the top 25 collaborators of Daniela Cabibi. A scholar is included among the top collaborators of Daniela Cabibi 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 Daniela Cabibi. Daniela Cabibi 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 1
3 6
4 3
5 15
6 1
7 3
8 8
9 2
10 12
11 11
12 29
13 12
14 71
15
Steatosis affects the performance of liver stiffness measurement for fibrosis assessment in patients with genotype 1 chronic hepatitis C
2
16 47
17 21
18 24
19 42
20 46

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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