Hiroshi Yagi

524 total papers · 7.6k total citations
260 papers, 5.5k citations indexed

About

Hiroshi Yagi is a scholar working on Surgery, Oncology and Management, Monitoring, Policy and Law. According to data from OpenAlex, Hiroshi Yagi has authored 260 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Surgery, 38 papers in Oncology and 36 papers in Management, Monitoring, Policy and Law. Recurrent topics in Hiroshi Yagi's work include Landslides and related hazards (36 papers), Pancreatic and Hepatic Oncology Research (30 papers) and Tissue Engineering and Regenerative Medicine (25 papers). Hiroshi Yagi is often cited by papers focused on Landslides and related hazards (36 papers), Pancreatic and Hepatic Oncology Research (30 papers) and Tissue Engineering and Regenerative Medicine (25 papers). Hiroshi Yagi collaborates with scholars based in Japan, United States and India. Hiroshi Yagi's co-authors include Alejandro Soto–Gutiérrez, Yuko Kitagawa, Martin L. Yarmush, Naoya Kobayashi, Ronald G. Tompkins, Arno W. Tilles, Kazuo Nadaoka, Biju Parekkadan, Masahiro Chigira and Minoru Kitago and has published in prestigious journals such as Nature Medicine, Journal of Clinical Oncology and PLoS ONE.

In The Last Decade

Hiroshi Yagi

231 papers receiving 5.3k citations

Hit Papers

Organ reengineering throu... 2010 2026 2015 2020 2010 2010 250 500 750 1000

Author Peers

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

Author Last Decade Papers Cites
Hiroshi Yagi 2.3k 1.1k 745 721 717 260 5.5k
Tetsuro Sakai 2.5k 1.1× 694 0.6× 330 0.4× 931 1.3× 1.0k 1.4× 230 5.2k
Hitoshi Saitô 1.1k 0.5× 237 0.2× 297 0.4× 494 0.7× 2.3k 3.2× 459 8.9k
Yuehua Jiang 1.7k 0.7× 259 0.2× 231 0.3× 2.1k 2.9× 2.4k 3.3× 124 5.2k
R. Rosso 652 0.3× 666 0.6× 543 0.7× 126 0.2× 778 1.1× 252 10.6k
Antonella De Angelis 1.6k 0.7× 542 0.5× 221 0.3× 722 1.0× 2.2k 3.1× 86 5.3k
Wei‐Ming Chen 2.5k 1.1× 726 0.6× 727 1.0× 998 1.4× 1.6k 2.3× 339 7.8k
K. T. Weber 1.9k 0.8× 126 0.1× 543 0.7× 182 0.3× 1.8k 2.5× 140 10.7k
Bixiang Zhang 909 0.4× 185 0.2× 531 0.7× 107 0.1× 3.2k 4.5× 209 7.1k
Martin Heller 2.6k 1.1× 95 0.1× 1.4k 1.9× 486 0.7× 737 1.0× 365 12.3k
Zheng Wang 989 0.4× 121 0.1× 454 0.6× 186 0.3× 2.7k 3.7× 286 7.1k

Countries citing papers authored by Hiroshi Yagi

Since Specialization
Citations

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

Fields of papers citing papers by Hiroshi Yagi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hiroshi Yagi

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