This map shows the geographic impact of research published in Liver Cancer. 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 Liver Cancer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liver Cancer more than expected).
This network shows the impact of papers published in Liver Cancer. 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 Liver Cancer.
About Liver Cancer
The 464 papers published in Liver Cancer in the last decades have received a total of 14.0k indexed citations . Papers published in Liver Cancer usually cover Hepatology (360 papers), Epidemiology (176 papers) and Cancer Research (73 papers) specifically the topics of Hepatocellular Carcinoma Treatment and Prognosis (343 papers), Liver Disease Diagnosis and Treatment (147 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (86 papers), Cancer Mechanisms and Therapy (52 papers), Hepatitis B Virus Studies (50 papers), Renal cell carcinoma treatment (48 papers), Pancreatic and Hepatic Oncology Research (47 papers) and Cancer Immunotherapy and Biomarkers (43 papers). The most active scholars publishing in Liver Cancer are Masatoshi Kudo, Michael C. Kew, Norihiro Kokudo, Takamichi Murakami, Ann‐Lii Cheng, Masakatsu Tsurusaki, Shi‐Ming Lin, Takashi Kumada, Atsushi Hiraoka and Riccardo Lencioni.
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.