Ken Kageyama

126 total papers · 820 total citations
62 papers, 552 citations indexed

About

Ken Kageyama is a scholar working on Hepatology, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Ken Kageyama has authored 62 papers receiving a total of 552 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Hepatology, 24 papers in Surgery and 15 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Ken Kageyama's work include Liver Disease and Transplantation (25 papers), Liver Disease Diagnosis and Treatment (14 papers) and Hepatocellular Carcinoma Treatment and Prognosis (13 papers). Ken Kageyama is often cited by papers focused on Liver Disease and Transplantation (25 papers), Liver Disease Diagnosis and Treatment (14 papers) and Hepatocellular Carcinoma Treatment and Prognosis (13 papers). Ken Kageyama collaborates with scholars based in Japan and United States. Ken Kageyama's co-authors include Yukio Miki, Takami Sato, Akira Yamamoto, Mizue Terai, Andrew E. Aplin, Shinichi Hamamoto, Hanyin Cheng, Shinji Ozaki, Norifumi Nishida and Michael J. Mastrangelo and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Cancer Research.

In The Last Decade

Ken Kageyama

50 papers receiving 547 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ken Kageyama 163 151 134 128 121 62 552
Satoshi Tsukikawa 41 0.3× 119 0.8× 94 0.7× 98 0.8× 128 1.1× 40 456
Kosuke Ueda 24 0.1× 225 1.5× 167 1.2× 51 0.4× 103 0.9× 59 551
Alessio Fabozzi 52 0.3× 262 1.7× 220 1.6× 16 0.1× 63 0.5× 32 503
Hidekazu Yamamoto 32 0.2× 86 0.6× 143 1.1× 26 0.2× 107 0.9× 48 520
Virginie Pichard 154 0.9× 83 0.5× 340 2.5× 37 0.3× 144 1.2× 38 583
Yizhuo Wang 21 0.1× 170 1.1× 123 0.9× 49 0.4× 56 0.5× 44 463
Anna Tosi 31 0.2× 179 1.2× 77 0.6× 19 0.1× 62 0.5× 40 470
Dai‐Wei Liu 18 0.1× 121 0.8× 130 1.0× 23 0.2× 140 1.2× 45 601
Junru Liu 42 0.3× 161 1.1× 223 1.7× 19 0.1× 53 0.4× 78 542
Yusuke Muto 86 0.5× 173 1.1× 140 1.0× 31 0.2× 14 0.1× 40 468

Countries citing papers authored by Ken Kageyama

Since Specialization
Citations

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

Fields of papers citing papers by Ken Kageyama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ken Kageyama

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

All Works

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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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