Recent progress in treatment of hepatocellular carcinoma.

246 indexed citations
published 2020

Countries where authors are citing Recent progress in treatment of hepatocellular carcinoma.

Specialization
Citations

This map shows the geographic impact of Recent progress in treatment of hepatocellular carcinoma.. 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 Recent progress in treatment of hepatocellular carcinoma. with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Recent progress in treatment of hepatocellular carcinoma. more than expected).

Fields of papers citing Recent progress in treatment of hepatocellular carcinoma.

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Recent progress in treatment of hepatocellular carcinoma.. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Recent progress in treatment of hepatocellular carcinoma..

About Recent progress in treatment of hepatocellular carcinoma.

This paper, published in 2020, received 246 indexed citations . Written by Zhiqian Chen, Mingming Hu, Tianyi Huang, Yanan Hu, Na Sang and Yinglan Zhao covering the research area of Pathology and Forensic Medicine and Hepatology. It is primarily cited by scholars working on Molecular Biology (127 citations), Cancer Research (77 citations) and Hepatology (64 citations). Published in PubMed.

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.

This paper is also available at doi.org/w76833690.

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