M. Siciliano

757 citations
13 papers · 584 indexed · h-index 8
Topics
Liver Disease and Transplantation (7 papers)Organ Transplantation Techniques and Outcomes (6 papers)Liver Disease Diagnosis and Treatment (5 papers)
Partner nations
ItalyUnited StatesSweden

In The Last Decade

M. Siciliano

13 papers receiving 571 citations

Peers

M. Siciliano
Comparison fields: 5 of 70
  • Hepatology 343
  • Epidemiology 256
  • Physiology 187
  • Surgery 168
  • Nutrition and Dietetics 108
Replace Sabrina Alves Fernandes with:
Sabrina Alves Fernandes Brazil
Giorgio Pinto Italy
Irsan Hasan Indonesia
Florencia Vargas Mexico
Rumi Mifuji‐Moroka Japan
Kamran Qureshi United States
K Takenaka Japan
Vaishali Patel United States
Fa‐Yauh Lee Taiwan
M. Siciliano relative to Sabrina Alves Fernandes Brazil Sabrina Alves Fernandes's profile →
Citations per field
00.5×2.8×
Sabrina Alves Fernandes · 1×
Citations per year

Countries citing papers authored by M. Siciliano

Since Specialization
Citations

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

Fields of papers citing papers by M. Siciliano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Siciliano

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

All Works

13 of 13 papers shown
#WorkIndexed citations
1 13
2 7
3 1
4
An update on clinical applications of hepatospecific contrast media in magnetic resonance imaging of liver parenchyma.
5
5 3
6 8
7 215
8 8
9 18
10 252
11 19
12 34
13
[A clinical case of hepatic psittacosis with ultrasonography anomalies of the liver].
1

About M. Siciliano

M. Siciliano is a scholar working on Hepatology, Surgery and Epidemiology, having authored 13 papers that have together received 584 indexed citations. Recurring topics across this work include Liver Disease and Transplantation (7 papers), Organ Transplantation Techniques and Outcomes (6 papers) and Liver Disease Diagnosis and Treatment (5 papers). The work is most often cited by research in Hepatology (343 citations), Epidemiology (256 citations) and Physiology (187 citations). M. Siciliano has collaborated with scholars based in Italy, United States and Sweden. Frequent co-authors include Massimo Rossi, P.B. Berloco, Manuela Merli, Federica Gentili, S. Morini, Antonio Franchitto, Guido Carpino, Stefano Ginanni Corradini, A.F. Attili and M. Giusto. Their work appears in journals such as International Journal of Molecular Sciences, Journal of Hepatology and Liver Transplantation.

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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