Seiichi Hayato

34 total papers · 1.1k total citations
26 papers, 845 citations indexed

About

Seiichi Hayato is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Seiichi Hayato has authored 26 papers receiving a total of 845 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Pulmonary and Respiratory Medicine, 6 papers in Oncology and 6 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Seiichi Hayato's work include Thyroid Cancer Diagnosis and Treatment (5 papers), Hepatocellular Carcinoma Treatment and Prognosis (5 papers) and Lung Cancer Treatments and Mutations (5 papers). Seiichi Hayato is often cited by papers focused on Thyroid Cancer Diagnosis and Treatment (5 papers), Hepatocellular Carcinoma Treatment and Prognosis (5 papers) and Lung Cancer Treatments and Mutations (5 papers). Seiichi Hayato collaborates with scholars based in Japan, United States and United Kingdom. Seiichi Hayato's co-authors include Takuya Suzuki, Takuji Okusaka, Toshiyuki Tamai, Hiromitsu Kumada, Kiwamu Okita, Masafumi Ikeda, Kenji Ikeda, Masatoshi Kudo, Yukio Osaki and Takashi Hisai and has published in prestigious journals such as Journal of Clinical Oncology, Clinical Cancer Research and Cancer Science.

In The Last Decade

Seiichi Hayato

24 papers receiving 829 citations

Author Peers

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

Author Last Decade Papers Cites
Seiichi Hayato 376 256 210 184 158 26 845
Ying Cheng 379 1.0× 114 0.4× 100 0.5× 227 1.2× 170 1.1× 27 721
Jiasheng Zheng 308 0.8× 263 1.0× 187 0.9× 224 1.2× 153 1.0× 54 1.0k
Masayoshi Horimoto 222 0.6× 212 0.8× 87 0.4× 149 0.8× 169 1.1× 33 1.0k
Anne‐Christine Piguet 271 0.7× 214 0.8× 148 0.7× 139 0.8× 210 1.3× 23 797
Rajendra Ramsamooj 154 0.4× 231 0.9× 152 0.7× 133 0.7× 205 1.3× 32 932
Rajiv Lochan 299 0.8× 307 1.2× 168 0.8× 76 0.4× 387 2.4× 31 880
Daniel Zamora‐Valdés 319 0.8× 109 0.4× 138 0.7× 92 0.5× 509 3.2× 37 968
Celina Ang 326 0.9× 334 1.3× 217 1.0× 170 0.9× 125 0.8× 51 940
Yong Li 252 0.7× 253 1.0× 144 0.7× 84 0.5× 276 1.7× 52 966
Kiyokazu Hiwatashi 330 0.9× 316 1.2× 132 0.6× 67 0.4× 188 1.2× 34 907

Countries citing papers authored by Seiichi Hayato

Since Specialization
Citations

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

Fields of papers citing papers by Seiichi Hayato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Seiichi Hayato

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