Matteo Garcovich

1.9k total citations
67 papers, 1.1k citations indexed

About

Matteo Garcovich is a scholar working on Hepatology, Epidemiology and Surgery. According to data from OpenAlex, Matteo Garcovich has authored 67 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Hepatology, 42 papers in Epidemiology and 19 papers in Surgery. Recurrent topics in Matteo Garcovich's work include Liver Disease Diagnosis and Treatment (35 papers), Liver Disease and Transplantation (26 papers) and Hepatocellular Carcinoma Treatment and Prognosis (21 papers). Matteo Garcovich is often cited by papers focused on Liver Disease Diagnosis and Treatment (35 papers), Liver Disease and Transplantation (26 papers) and Hepatocellular Carcinoma Treatment and Prognosis (21 papers). Matteo Garcovich collaborates with scholars based in Italy, United Kingdom and Japan. Matteo Garcovich's co-authors include Antonio Gasbarrini, Maria Assunta Zocco, Maurizio Pompili, Maria Elena Ainora, Andrew K. Burroughs, Laura Riccardi, James O’Beirne, Emmanuel Tsochatzis, Francesca Romana Ponziani and Enrico Di Stasio and has published in prestigious journals such as Gastroenterology, Hepatology and Gut.

In The Last Decade

Matteo Garcovich

62 papers receiving 1.0k citations

Peers

Matteo Garcovich
Comparison fields: 5 of 95
  • Hepatology 629
  • Epidemiology 527
  • Surgery 288
  • Endocrinology, Diabetes and Metabolism 107
  • Pulmonary and Respiratory Medicine 102
Replace Carmen Fierbințeanu‐Braticevici with:
Carmen Fierbințeanu‐Braticevici Romania
Michele Gambardella Italy
Ivica Grgurević Croatia
Cristina Rigamonti Italy
Hidekatsu Kuroda Japan
Edmund Godfrey United Kingdom
Nina Dib France
Gyoung Min Kim South Korea
Joo Hyun Sohn South Korea
Tomomitsu Matono Japan
Carmen Fierbințeanu‐Braticevici Romania View profile →
Citations per field, relative to Matteo Garcovich
Matteo Garcovich · 1×
Citations per year, relative to Matteo Garcovich
Matteo Garcovich · 1×

Countries citing papers authored by Matteo Garcovich

Since Specialization
Citations

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

Fields of papers citing papers by Matteo Garcovich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matteo Garcovich

This figure shows the co-authorship network connecting the top 25 collaborators of Matteo Garcovich. A scholar is included among the top collaborators of Matteo Garcovich 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 Matteo Garcovich. Matteo Garcovich 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 2
2 1
3 10
4 9
5 6
6 1
7 5
8 8
9 9
10 7
11 38
12 27
13 24
14
Toxicity and risks from drug-to-drug interactions of new antivirals for chronic hepatitis C.
6
15 46
16 28
17 39
18 9
19 0
20 47

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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