Masashi Hieda

45 total papers · 587 total citations
35 papers, 440 citations indexed

About

Masashi Hieda is a scholar working on Surgery, Hepatology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Masashi Hieda has authored 35 papers receiving a total of 440 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Surgery, 12 papers in Hepatology and 10 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Masashi Hieda's work include Hepatocellular Carcinoma Treatment and Prognosis (10 papers), Liver Disease and Transplantation (6 papers) and Organ Transplantation Techniques and Outcomes (4 papers). Masashi Hieda is often cited by papers focused on Hepatocellular Carcinoma Treatment and Prognosis (10 papers), Liver Disease and Transplantation (6 papers) and Organ Transplantation Techniques and Outcomes (4 papers). Masashi Hieda collaborates with scholars based in Japan, Greece and United Kingdom. Masashi Hieda's co-authors include Hideaki Kakizawa, Naoyuki Toyota, Katsuhide Ito, Toshihiro Tachikake, Nobuhiko Hirai, Akira Naito, Hideki Fukuda, Tomoki Kimura, Jun Horiguchi and Noriaki Matsuura and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, European Radiology and Injury.

In The Last Decade

Masashi Hieda

32 papers receiving 430 citations

Author Peers

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

Author Last Decade Papers Cites
Masashi Hieda 222 122 100 87 84 35 440
Yusuke Sakuhara 223 1.0× 187 1.5× 175 1.8× 98 1.1× 61 0.7× 32 494
H Onitsuka 190 0.9× 102 0.8× 128 1.3× 61 0.7× 53 0.6× 26 427
Soon Joo 173 0.8× 152 1.2× 143 1.4× 51 0.6× 169 2.0× 22 447
G. W. Kauffmann 189 0.9× 93 0.8× 155 1.6× 97 1.1× 64 0.8× 50 404
Yuewei Zhang 114 0.5× 133 1.1× 146 1.5× 103 1.2× 76 0.9× 54 435
Eli Sapir 96 0.4× 119 1.0× 163 1.6× 82 0.9× 102 1.2× 30 471
Enrico Maria Fumarola 144 0.6× 121 1.0× 123 1.2× 89 1.0× 116 1.4× 23 415
Ji Hyeon Joo 142 0.6× 93 0.8× 152 1.5× 125 1.4× 91 1.1× 54 460
Mu-Tai Liu 97 0.4× 76 0.6× 182 1.8× 76 0.9× 79 0.9× 24 402
Taku Yasumoto 242 1.1× 225 1.8× 140 1.4× 51 0.6× 33 0.4× 35 480

Countries citing papers authored by Masashi Hieda

Since Specialization
Citations

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

Fields of papers citing papers by Masashi Hieda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masashi Hieda

This figure shows the co-authorship network connecting the top 25 collaborators of Masashi Hieda. A scholar is included among the top collaborators of Masashi Hieda 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 Masashi Hieda. Masashi Hieda 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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2026