Hiroshi Onoda

33 total papers · 1.2k total citations
19 papers, 1.0k citations indexed

About

Hiroshi Onoda is a scholar working on Hepatology, Oncology and Cancer Research. According to data from OpenAlex, Hiroshi Onoda has authored 19 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Hepatology, 9 papers in Oncology and 8 papers in Cancer Research. Recurrent topics in Hiroshi Onoda's work include Hepatocellular Carcinoma Treatment and Prognosis (9 papers), Cancer, Lipids, and Metabolism (8 papers) and Inflammatory Biomarkers in Disease Prognosis (7 papers). Hiroshi Onoda is often cited by papers focused on Hepatocellular Carcinoma Treatment and Prognosis (9 papers), Cancer, Lipids, and Metabolism (8 papers) and Inflammatory Biomarkers in Disease Prognosis (7 papers). Hiroshi Onoda collaborates with scholars based in Japan and United States. Hiroshi Onoda's co-authors include Akiyoshi Kinoshita, Nami Imai, Nao Fushiya, Akira Iwaku, Kazuhiko Koike, Mutumi Oishi, Hirokazu Nishino, Hisao Tajiri, Masato Matsushima and Ken Tanaka and has published in prestigious journals such as British Journal of Cancer, Annals of Surgical Oncology and BMC Cancer.

In The Last Decade

Hiroshi Onoda

18 papers receiving 1.0k citations

Author Peers

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

Author Last Decade Papers Cites
Hiroshi Onoda 671 286 270 243 226 19 1.0k
Jeffery Chakedis 481 0.7× 156 0.5× 657 2.4× 241 1.0× 162 0.7× 41 1.2k
Akiyoshi Kinoshita 739 1.1× 322 1.1× 365 1.4× 387 1.6× 333 1.5× 43 1.2k
Nami Imai 645 1.0× 277 1.0× 277 1.0× 239 1.0× 226 1.0× 21 971
Christopher R. West 494 0.7× 215 0.8× 279 1.0× 200 0.8× 167 0.7× 26 1.2k
J E M Crozier 875 1.3× 273 1.0× 374 1.4× 64 0.3× 111 0.5× 14 1.2k
B van Ooijen 529 0.8× 347 1.2× 326 1.2× 111 0.5× 71 0.3× 27 1.1k
Nao Fushiya 628 0.9× 275 1.0× 261 1.0× 234 1.0× 214 0.9× 15 874
Akira Iwaku 620 0.9× 251 0.9× 275 1.0× 213 0.9× 204 0.9× 16 866
Joseph R. Bateman 536 0.8× 107 0.4× 165 0.6× 183 0.8× 132 0.6× 37 994
Yuan‐Lan Huang 468 0.7× 70 0.2× 167 0.6× 106 0.4× 284 1.3× 26 959

Countries citing papers authored by Hiroshi Onoda

Since Specialization
Citations

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

Fields of papers citing papers by Hiroshi Onoda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hiroshi Onoda

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