Giada Pietrosi

1.2k citations
40 papers · 882 indexed · h-index 16
Topics
Liver Disease Diagnosis and Treatment (18 papers)Organ Transplantation Techniques and Outcomes (16 papers)Liver Disease and Transplantation (14 papers)

In The Last Decade

Giada Pietrosi

37 papers receiving 864 citations

Peers

Giada Pietrosi
Comparison fields: 5 of 67
  • Epidemiology 498
  • Hepatology 436
  • Surgery 369
  • Genetics 124
  • Molecular Biology 80
Replace Xiao Li with:
Xiao Li China
Paolo Montalto Italy
Yoshimichi Haruna Japan
Panayotis Lykavieris France
Odile Goria France
Rebecca Brais United Kingdom
J.C. Trinchet France
Hiroyuki Kanazawa Japan
J.‐P. Bronowicki France
Harlan I. Wright United States
Giada Pietrosi relative to Xiao Li China Xiao Li's profile →
Citations per field
00.5×4.4×
Xiao Li · 1×
Citations per year

Countries citing papers authored by Giada Pietrosi

Since Specialization
Citations

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

Fields of papers citing papers by Giada Pietrosi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giada Pietrosi

This figure shows the co-authorship network connecting the top 25 collaborators of Giada Pietrosi. A scholar is included among the top collaborators of Giada Pietrosi 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 Giada Pietrosi. Giada Pietrosi 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
#WorkIndexed citations
1 0
2 1
3 1
4 7
5
IL28B polymorphisms of both recipient and donor cooperate to influence IFN treatment response in HCV recurrence after liver transplantation, but IL28B SNPs of the recipient play a major role in IFN-induced blocking of HCV replication.
0
6 36
7 54
8 38
9 33
10 24
11 29
12 21
13 14
14 16
15 0
16 6
17 119
18 7
19 27
20 217

About Giada Pietrosi

Giada Pietrosi is a scholar working on Hepatology, Epidemiology and Genetics, having authored 40 papers that have together received 882 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (18 papers), Organ Transplantation Techniques and Outcomes (16 papers) and Liver Disease and Transplantation (14 papers). The work is most often cited by research in Hepatology (436 citations), Epidemiology (498 citations) and Gastroenterology (70 citations). Giada Pietrosi has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Gennaro D’Amico, Luigi Pagliaro, Ilaria Tarantino, Giovanni Vizzini, Bruno Gridelli, L Oliva, Salvatore Gruttadauria, Matteo Rosselli, Angelo Casà and A. Rizzo. Their work appears in journals such as Gastroenterology, PLoS ONE and Cochrane Database of Systematic Reviews.

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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