Tetsunari Hase

168 total papers · 2.4k total citations
93 papers, 1.2k citations indexed

About

Tetsunari Hase is a scholar working on Oncology, Biomedical Engineering and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Tetsunari Hase has authored 93 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Oncology, 26 papers in Biomedical Engineering and 24 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Tetsunari Hase's work include Physics of Superconductivity and Magnetism (20 papers), Superconducting Materials and Applications (20 papers) and Lung Cancer Treatments and Mutations (15 papers). Tetsunari Hase is often cited by papers focused on Physics of Superconductivity and Magnetism (20 papers), Superconducting Materials and Applications (20 papers) and Lung Cancer Treatments and Mutations (15 papers). Tetsunari Hase collaborates with scholars based in Japan, United States and Singapore. Tetsunari Hase's co-authors include Yoshinori Hasegawa, Mitsuo Sato, Masashi Kondo, Yoshitaka Sekido, John D. Minna, Seiji Hayashi, Naozumi Hashimoto, Kenya Yoshida, Y. Kawate and Adi F. Gazdar and has published in prestigious journals such as Journal of Clinical Oncology, Physical review. B, Condensed matter and Applied Physics Letters.

In The Last Decade

Tetsunari Hase

83 papers receiving 1.2k citations

Author Peers

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

Author Last Decade Papers Cites
Tetsunari Hase 343 322 276 224 221 93 1.2k
A. Brauers 409 1.2× 125 0.4× 84 0.3× 85 0.4× 210 1.0× 62 1.5k
K Takagi 504 1.5× 60 0.2× 196 0.7× 102 0.5× 260 1.2× 87 1.4k
Takashi Imamura 278 0.8× 43 0.1× 225 0.8× 111 0.5× 115 0.5× 85 1.2k
Huimin Shen 442 1.3× 166 0.5× 339 1.2× 106 0.5× 71 0.3× 79 1.2k
Masashi Yamamoto 544 1.6× 82 0.3× 116 0.4× 286 1.3× 107 0.5× 71 1.2k
Hironori Ueno 649 1.9× 235 0.7× 146 0.5× 167 0.7× 130 0.6× 70 1.3k
Xi Lin 492 1.4× 263 0.8× 159 0.6× 104 0.5× 31 0.1× 64 1.4k
Masato Nakajima 356 1.0× 184 0.6× 29 0.1× 111 0.5× 130 0.6× 153 1.5k
Kazuki Sakamoto 307 0.9× 52 0.2× 127 0.5× 579 2.6× 196 0.9× 96 1.3k
Hirotaka Oshima 252 0.7× 103 0.3× 92 0.3× 102 0.5× 75 0.3× 105 1.3k

Countries citing papers authored by Tetsunari Hase

Since Specialization
Citations

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

Fields of papers citing papers by Tetsunari Hase

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tetsunari Hase

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