Daphne D’Amato

642 total citations
9 papers, 84 citations indexed

About

Daphne D’Amato is a scholar working on Epidemiology, Hepatology and Surgery. According to data from OpenAlex, Daphne D’Amato has authored 9 papers receiving a total of 84 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Epidemiology, 8 papers in Hepatology and 3 papers in Surgery. Recurrent topics in Daphne D’Amato's work include Liver Disease Diagnosis and Treatment (8 papers), Liver Diseases and Immunity (7 papers) and Pediatric Hepatobiliary Diseases and Treatments (2 papers). Daphne D’Amato is often cited by papers focused on Liver Disease Diagnosis and Treatment (8 papers), Liver Diseases and Immunity (7 papers) and Pediatric Hepatobiliary Diseases and Treatments (2 papers). Daphne D’Amato collaborates with scholars based in Italy, Germany and Denmark. Daphne D’Amato's co-authors include Marco Carbone, Pietro Invernizzi, Laura Cristoferi, Alessio Gerussi, Sarah O’Donnell, Giorgio Maria Saracco, Chiara Milani, Clara Mancuso, Vincenzo Ronca and Davide Giuseppe Ribaldone and has published in prestigious journals such as Journal of Hepatology, Cancers and Journal of Clinical Medicine.

In The Last Decade

Daphne D’Amato

9 papers receiving 82 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daphne D’Amato Italy 5 55 50 39 15 12 9 84
Alejandro Pita United States 7 21 0.4× 44 0.9× 45 1.2× 14 0.9× 11 0.9× 17 92
Koichiro Furuta Japan 7 69 1.3× 57 1.1× 94 2.4× 7 0.5× 12 1.0× 16 188
Marko Korenjak Spain 5 62 1.1× 54 1.1× 20 0.5× 6 0.4× 7 0.6× 7 92
Danny Orabi United States 7 31 0.6× 36 0.7× 29 0.7× 11 0.7× 22 1.8× 10 91
Adriana Varón Colombia 4 53 1.0× 73 1.5× 37 0.9× 3 0.2× 7 0.6× 21 94
Uta Dahmen Germany 4 31 0.6× 39 0.8× 53 1.4× 5 0.3× 34 2.8× 4 108
Yoko Yoshimaru Japan 6 24 0.4× 41 0.8× 11 0.3× 10 0.7× 6 0.5× 16 61
Madhavi Rudraraju United States 5 74 1.3× 38 0.8× 21 0.5× 7 0.5× 14 1.2× 12 100
José Luís Montero Álvarez Spain 6 26 0.5× 51 1.0× 33 0.8× 3 0.2× 4 0.3× 10 77
Jonathan Badrock United Kingdom 5 39 0.7× 41 0.8× 34 0.9× 5 0.3× 4 0.3× 6 70

Countries citing papers authored by Daphne D’Amato

Since Specialization
Citations

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

Fields of papers citing papers by Daphne D’Amato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daphne D’Amato. 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 Daphne D’Amato. The network helps show where Daphne D’Amato may publish in the future.

Co-authorship network of co-authors of Daphne D’Amato

This figure shows the co-authorship network connecting the top 25 collaborators of Daphne D’Amato. A scholar is included among the top collaborators of Daphne D’Amato 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 Daphne D’Amato. Daphne D’Amato is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Cristoferi, Laura, Lars Lund, Davide Paolo Bernasconi, et al.. (2025). THU-301 Fibrates in primary sclerosing cholangitis: a multicenter retrospective observational study. Journal of Hepatology. 82. S317–S318. 1 indexed citations
2.
Armandi, Angelo, Chiara Rosso, Ramy Younes, et al.. (2023). Cross-Sectional and Longitudinal Performance of Non-Invasive Tests of Liver Fibrosis in Patients with Non-Alcoholic Fatty Liver Disease. Journal of Clinical Medicine. 12(2). 650–650. 6 indexed citations
3.
Armandi, Angelo, Gian Paolo Caviglia, Amina Abdulle, et al.. (2023). Prognostic Value of Simple Non-Invasive Tests for the Risk Stratification of Incident Hepatocellular Carcinoma in Cirrhotic Individuals with Non-Alcoholic Fatty Liver Disease. Cancers. 15(6). 1659–1659. 4 indexed citations
4.
D’Amato, Daphne & Marco Carbone. (2023). Prognostic models and autoimmune liver diseases. Best Practice & Research Clinical Gastroenterology. 67. 101878–101878. 4 indexed citations
5.
Armandi, Angelo, Chiara Rosso, Gian Paolo Caviglia, et al.. (2022). Crosstalk between Irisin Levels, Liver Fibrogenesis and Liver Damage in Non-Obese, Non-Diabetic Individuals with Non-Alcoholic Fatty Liver Disease. Journal of Clinical Medicine. 11(3). 635–635. 18 indexed citations
6.
Overi, Diletta, Guido Carpino, Laura Cristoferi, et al.. (2022). Role of ductular reaction and ductular–canalicular junctions in identifying severe primary biliary cholangitis. JHEP Reports. 4(11). 100556–100556. 14 indexed citations
7.
Gerussi, Alessio, Martina De Luca, Laura Cristoferi, et al.. (2020). New Therapeutic Targets in Autoimmune Cholangiopathies. Frontiers in Medicine. 7. 117–117. 23 indexed citations
9.
Gerussi, Alessio, Daphne D’Amato, Laura Cristoferi, et al.. (2019). Multiple therapeutic targets in rare cholestatic liver diseases: Time to redefine treatment strategies. Annals of Hepatology. 19(1). 5–16. 12 indexed citations

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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