M. Sasaki

28 total papers · 477 total citations
17 papers, 391 citations indexed

About

M. Sasaki is a scholar working on Molecular Biology, Genetics and Industrial and Manufacturing Engineering. According to data from OpenAlex, M. Sasaki has authored 17 papers receiving a total of 391 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Genetics and 3 papers in Industrial and Manufacturing Engineering. Recurrent topics in M. Sasaki's work include Animal Genetics and Reproduction (3 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (3 papers) and Recycling and Waste Management Techniques (3 papers). M. Sasaki is often cited by papers focused on Animal Genetics and Reproduction (3 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (3 papers) and Recycling and Waste Management Techniques (3 papers). M. Sasaki collaborates with scholars based in Japan and Russia. M. Sasaki's co-authors include Nobuo Takagi, Osamu Sugawara, N. Wake, Kazuyuki Sugimura, M. Yoshida, Shinichi Abe, Takahiko Shimizu, K. Tsuji, Jun‐ichi Azumi and Mitsuo Oshimura and has published in prestigious journals such as Carbon, Chromosoma and Colloid & Polymer Science.

In The Last Decade

M. Sasaki

17 papers receiving 369 citations

Author Peers

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

Author Last Decade Papers Cites
M. Sasaki 233 222 59 48 41 17 391
Rachel A. Jesudasan 93 0.4× 202 0.9× 31 0.5× 46 1.0× 40 1.0× 17 400
Н. П. Кулешов 129 0.6× 133 0.6× 61 1.0× 98 2.0× 71 1.7× 17 338
Hiroyuki Tashiro 122 0.5× 275 1.2× 52 0.9× 20 0.4× 48 1.2× 24 445
H. Heilbronner 171 0.7× 222 1.0× 74 1.3× 36 0.8× 54 1.3× 17 368
K. S. Lavappa 80 0.3× 155 0.7× 79 1.3× 90 1.9× 15 0.4× 16 346
J.C. Fuscoe 105 0.5× 250 1.1× 98 1.7× 33 0.7× 22 0.5× 11 341
Mariko Yamane 86 0.4× 304 1.4× 24 0.4× 21 0.4× 29 0.7× 17 383
Tatjana Jatsenko 98 0.4× 217 1.0× 21 0.4× 57 1.2× 105 2.6× 25 409
N. A. Egolina 118 0.5× 282 1.3× 98 1.7× 107 2.2× 19 0.5× 15 402
Mary Purucker 113 0.5× 281 1.3× 29 0.5× 29 0.6× 33 0.8× 15 422

Countries citing papers authored by M. Sasaki

Since Specialization
Citations

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

Fields of papers citing papers by M. Sasaki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Sasaki

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