Hepatology International

1.4k papers and 27.1k indexed citations i.

About

The 1.4k papers published in Hepatology International in the last decades have received a total of 27.1k indexed citations. Papers published in Hepatology International usually cover Hepatology (1.0k papers), Epidemiology (1.0k papers) and Surgery (334 papers) specifically the topics of Liver Disease Diagnosis and Treatment (895 papers), Liver Disease and Transplantation (422 papers) and Hepatitis C virus research (391 papers). The most active scholars publishing in Hepatology International are Yun–Fan Liaw, Jia‐Horng Kao, Pablo Muriel, Stephen Locarnini, George Lau, Thomas Couri, Brian J. McMahon, Anjana Pillai, Kwang‐Hyub Han and Teerha Piratvisuth.

In The Last Decade

Fields of papers published in Hepatology International

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Hepatology International. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in Hepatology International.

Countries where authors publish in Hepatology International

Since Specialization
Citations

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

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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