Maiko Sasaki

69 total papers · 1.6k total citations
36 papers, 1.3k citations indexed

About

Maiko Sasaki is a scholar working on Molecular Biology, Oncology and Surgery. According to data from OpenAlex, Maiko Sasaki has authored 36 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 11 papers in Oncology and 6 papers in Surgery. Recurrent topics in Maiko Sasaki's work include Inflammatory Bowel Disease (4 papers), Vascular Tumors and Angiosarcomas (4 papers) and Immunotherapy and Immune Responses (4 papers). Maiko Sasaki is often cited by papers focused on Inflammatory Bowel Disease (4 papers), Vascular Tumors and Angiosarcomas (4 papers) and Immunotherapy and Immune Responses (4 papers). Maiko Sasaki collaborates with scholars based in United States, Japan and Brazil. Maiko Sasaki's co-authors include Jan‐Michael A. Klapproth, J. Emmett Duffy, Zbigniew Lewandowski, Connie I. Lord, Michael J. Franklin, Algirdas J. Jesaitis, Deborah L. Berglund, Haluk Beyenal, Brian A. Babbin and Asma Nusrat and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and The Journal of Immunology.

In The Last Decade

Maiko Sasaki

36 papers receiving 1.3k citations

Author Peers

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

Author Last Decade Papers Cites
Maiko Sasaki 688 231 200 194 176 36 1.3k
Joanna Skórko‐Glonek 802 1.2× 251 1.1× 143 0.7× 96 0.5× 173 1.0× 54 1.5k
Amit P. Bhavsar 716 1.0× 380 1.6× 162 0.8× 143 0.7× 211 1.2× 29 1.5k
Michael L. Pendrak 904 1.3× 279 1.2× 393 2.0× 126 0.6× 118 0.7× 33 1.7k
Howard Brickner 1.0k 1.5× 168 0.7× 153 0.8× 290 1.5× 148 0.8× 31 1.5k
Ilze Matise 943 1.4× 263 1.1× 81 0.4× 298 1.5× 91 0.5× 41 1.6k
Yunfeng Gao 885 1.3× 187 0.8× 236 1.2× 172 0.9× 98 0.6× 34 1.5k
Jin‐Young Yang 665 1.0× 149 0.6× 415 2.1× 162 0.8× 70 0.4× 46 1.5k
Francesco M. Mancuso 784 1.1× 140 0.6× 126 0.6× 141 0.7× 55 0.3× 41 1.5k
Masami Miyake 455 0.7× 187 0.8× 195 1.0× 92 0.5× 163 0.9× 54 1.4k
Giulia Nigro 928 1.3× 287 1.2× 301 1.5× 377 1.9× 172 1.0× 40 1.6k

Countries citing papers authored by Maiko Sasaki

Since Specialization
Citations

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

Fields of papers citing papers by Maiko Sasaki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maiko Sasaki

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