Koji Uchino

69 total papers · 3.0k total citations
43 papers, 1.9k citations indexed

About

Koji Uchino is a scholar working on Hepatology, Epidemiology and Surgery. According to data from OpenAlex, Koji Uchino has authored 43 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Hepatology, 28 papers in Epidemiology and 11 papers in Surgery. Recurrent topics in Koji Uchino's work include Liver Disease Diagnosis and Treatment (26 papers), Hepatocellular Carcinoma Treatment and Prognosis (24 papers) and Hepatitis C virus research (11 papers). Koji Uchino is often cited by papers focused on Liver Disease Diagnosis and Treatment (26 papers), Hepatocellular Carcinoma Treatment and Prognosis (24 papers) and Hepatitis C virus research (11 papers). Koji Uchino collaborates with scholars based in Japan, United States and Türkiye. Koji Uchino's co-authors include Kazuhiko Koike, Ryosuke Tateishi, Shuichiro Shiina, Yuji Kondo, Hayato Nakagawa, Kenichiro Enooku, Yoshinari Asaoka, Haruhiko Yoshida, Masao Omata and Ryota Masuzaki and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Gastroenterology.

In The Last Decade

Koji Uchino

41 papers receiving 1.9k citations

Hit Papers

Radiofrequency Ablation f... 2011 2026 2016 2021 2011 2015 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Koji Uchino 1.1k 795 489 430 423 43 1.9k
Dominic Yu 1.1k 1.1× 853 1.1× 474 1.0× 328 0.8× 196 0.5× 55 1.8k
Ryuichi Kita 1.3k 1.2× 925 1.2× 370 0.8× 357 0.8× 98 0.2× 76 1.8k
Yohei Mano 804 0.7× 482 0.6× 649 1.3× 1.0k 2.4× 103 0.2× 77 2.1k
Olivier Ernst 802 0.7× 847 1.1× 1.3k 2.6× 305 0.7× 146 0.3× 91 2.5k
Mizuki Ninomiya 1.4k 1.3× 641 0.8× 1.4k 3.0× 422 1.0× 152 0.4× 90 2.2k
Jiayin Yang 1.2k 1.1× 1.2k 1.6× 399 0.8× 263 0.6× 104 0.2× 66 1.8k
Anna Skowrońska 1.5k 1.4× 1.1k 1.4× 419 0.9× 717 1.7× 98 0.2× 37 2.6k
Stephen W. Fenwick 999 0.9× 234 0.3× 989 2.0× 1.2k 2.8× 151 0.4× 87 2.2k
J Wong 917 0.8× 554 0.7× 956 2.0× 302 0.7× 135 0.3× 53 2.0k
Axel Balian 486 0.4× 1.1k 1.3× 325 0.7× 310 0.7× 227 0.5× 41 1.9k

Countries citing papers authored by Koji Uchino

Since Specialization
Citations

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

Fields of papers citing papers by Koji Uchino

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Koji Uchino

This figure shows the co-authorship network connecting the top 25 collaborators of Koji Uchino. A scholar is included among the top collaborators of Koji Uchino 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 Koji Uchino. Koji Uchino 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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