U. Maggi

1.4k citations
63 papers · 810 · h-index 17

Impact in

  • Hepatology top 2%
    • Hepatocellular Carcinoma Treatment and Prognosis
    • Liver Disease and Transplantation
    • Hepatitis C virus research
    • Renal Transplantation Outcomes and Treatments

Papers in

    • Organ Transplantation Techniques and Outcomes 36
    • Transplantation: Methods and Outcomes 8
    • Liver Disease and Transplantation 27
    • Hepatocellular Carcinoma Treatment and Prognosis 8
    • Liver physiology and pathology 4

U. Maggi

60 papers receiving 774 citations

Peers

U. Maggi
Comparison fields: 5 of 66
  • Hepatology 403
  • Transplantation 47
  • Surgery 394
  • Epidemiology 129
  • Pathology and Forensic Medicine 47
Replace A. Lucianetti with:
A. Lucianetti Italy
K Oldhafer Germany
Esteban Cugat Spain
Davide Cintorino Italy
A Stieber United States
Hatem Khalaf Saudi Arabia
Lucas Souto Nacif Brazil
Tarık Artiş Türkiye
I Garcı́a Spain
Mikel Gastaca Spain
U. Maggi relative to A. Lucianetti Italy A. Lucianetti's profile →
Citations per field
00.5×1.5×1.9×
A. Lucianetti · 1×
Citations per year

Countries citing papers authored by U. Maggi

Since Specialization
Citations

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

Fields of papers citing papers by U. Maggi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside U. Maggi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with U. Maggi Line = papers co-authored together U. Maggi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006116
2 200675
3 201463
4 202059
5 201542
6 201937
7 200031
8 201426
9 201222
10 200020
11 200719
12 200519
13 199818
14 201418
15 200517
16 201017
17 201316
18 201315
19 201113
20 201111

About U. Maggi

U. Maggi is a scholar working on Surgery, Hepatology, Epidemiology, Transplantation and Oncology, having authored 63 papers that have together received 810 indexed citations. Recurring topics across this work include Organ Transplantation Techniques and Outcomes (36 papers), Liver Disease and Transplantation (27 papers), Liver Disease Diagnosis and Treatment (13 papers), Hepatocellular Carcinoma Treatment and Prognosis (8 papers), Transplantation: Methods and Outcomes (8 papers), Renal Transplantation Outcomes and Treatments (7 papers), Hepatitis B Virus Studies (6 papers) and Liver physiology and pathology (4 papers). The work is most often cited by research in Hepatology (403 citations), Transplantation (47 citations), Surgery (394 citations), Epidemiology (129 citations) and Pathology and Forensic Medicine (47 citations). U. Maggi has collaborated with scholars based in Italy, France and United Kingdom. Frequent co-authors include G. Rossi, Daniel Azoulay, Denis Castaing, P. Andreani, P. Reggiani, Stefano Gatti, Antoinette Lemoine, L. Caccamo, M. Colledan and Chady Salloum. Their work appears in journals such as PLoS ONE, Transplantation, Transplantation Proceedings, Transplant International and Annals of Surgery.

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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