Masaki Hata

258 total papers · 8.4k total citations
147 papers, 6.5k citations indexed

About

Masaki Hata is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Molecular Biology. According to data from OpenAlex, Masaki Hata has authored 147 papers receiving a total of 6.5k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Pulmonary and Respiratory Medicine, 32 papers in Surgery and 28 papers in Molecular Biology. Recurrent topics in Masaki Hata's work include Aortic Disease and Treatment Approaches (19 papers), Cardiac Valve Diseases and Treatments (17 papers) and Radiomics and Machine Learning in Medical Imaging (14 papers). Masaki Hata is often cited by papers focused on Aortic Disease and Treatment Approaches (19 papers), Cardiac Valve Diseases and Treatments (17 papers) and Radiomics and Machine Learning in Medical Imaging (14 papers). Masaki Hata collaborates with scholars based in Japan, United States and France. Masaki Hata's co-authors include Shöichiro Tsukita, Mikio Furuse, Hiroyuki Sasaki, Nobuo Hashimoto, Yoshiteru Seo, Shimpei Gotoh, Tetsuo Noda, Kyoko Furuse, Akiharu Kubo and Yoshinobu Sugitani and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Genetics.

In The Last Decade

Masaki Hata

137 papers receiving 6.3k citations

Hit Papers

Size-selective loosening ... 2002 2026 2010 2018 2003 2002 400 800 1.2k

Author Peers

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

Author Last Decade Papers Cites
Masaki Hata 2.7k 2.5k 790 685 639 147 6.5k
Hideki Chiba 3.9k 1.5× 2.6k 1.1× 1.0k 1.3× 683 1.0× 642 1.0× 147 7.5k
Bengt R. Johansson 3.8k 1.4× 1.8k 0.7× 847 1.1× 877 1.3× 1.0k 1.6× 103 8.7k
Atsushi Tamura 2.5k 0.9× 2.4k 1.0× 727 0.9× 682 1.0× 664 1.0× 122 5.2k
Brian P. Eliceiri 4.4k 1.6× 1.1k 0.5× 920 1.2× 754 1.1× 439 0.7× 147 7.5k
Otmar Huber 5.4k 2.0× 1.0k 0.4× 889 1.1× 1.4k 2.1× 510 0.8× 109 7.9k
Luisa Roncali 3.1k 1.2× 764 0.3× 1.1k 1.4× 706 1.0× 340 0.5× 152 5.8k
Alexander Birbrair 2.0k 0.8× 672 0.3× 806 1.0× 418 0.6× 457 0.7× 154 4.7k
David R. Raleigh 1.9k 0.7× 1.2k 0.5× 397 0.5× 280 0.4× 680 1.1× 152 4.4k
Monica Corada 5.2k 2.0× 1.4k 0.6× 1.4k 1.8× 1.8k 2.7× 659 1.0× 64 8.9k
Klaus Addicks 3.7k 1.4× 617 0.3× 607 0.8× 940 1.4× 967 1.5× 199 8.4k

Countries citing papers authored by Masaki Hata

Since Specialization
Citations

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

Fields of papers citing papers by Masaki Hata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masaki Hata

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