M Kohsaki

46 total papers · 838 total citations
28 papers, 595 citations indexed

About

M Kohsaki is a scholar working on Hematology, Genetics and Molecular Biology. According to data from OpenAlex, M Kohsaki has authored 28 papers receiving a total of 595 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Hematology, 6 papers in Genetics and 5 papers in Molecular Biology. Recurrent topics in M Kohsaki's work include Hematopoietic Stem Cell Transplantation (7 papers), Blood disorders and treatments (4 papers) and Blood groups and transfusion (4 papers). M Kohsaki is often cited by papers focused on Hematopoietic Stem Cell Transplantation (7 papers), Blood disorders and treatments (4 papers) and Blood groups and transfusion (4 papers). M Kohsaki collaborates with scholars based in Japan, Italy and United States. M Kohsaki's co-authors include Chiaki Ishihara, Toshimitsu Matsui, Masayoshi Tsuji, Qiang Wei, Shunro Kai, Yoshiko Atsuta, Shunichi Kato, Hiroshi Azuma, Minoko Takanashi and Kazunori Nakajima and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Blood and Journal of Clinical Microbiology.

In The Last Decade

M Kohsaki

28 papers receiving 573 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 Kohsaki 348 172 131 128 122 28 595
Elizabeth H. Perry 264 0.8× 89 0.5× 100 0.8× 123 1.0× 80 0.7× 21 611
Neal denHollander 105 0.3× 203 1.2× 125 1.0× 180 1.4× 29 0.2× 17 564
Helene Polin 338 1.0× 63 0.4× 80 0.6× 147 1.1× 131 1.1× 32 589
Mary Ganczakowski 150 0.4× 50 0.3× 58 0.4× 148 1.2× 165 1.4× 15 688
Vu Nguyen 169 0.5× 26 0.2× 32 0.2× 187 1.5× 59 0.5× 36 601
Christine Lawrence 159 0.5× 48 0.3× 61 0.5× 33 0.3× 133 1.1× 28 504
Paula Amat 153 0.4× 38 0.2× 115 0.9× 127 1.0× 99 0.8× 46 624
Salvador Oyonarte 117 0.3× 25 0.1× 322 2.5× 128 1.0× 25 0.2× 29 639
Cheng Cheng 66 0.2× 73 0.4× 133 1.0× 232 1.8× 19 0.2× 27 674
Harald Seeberger 154 0.4× 35 0.2× 61 0.5× 356 2.8× 76 0.6× 13 632

Countries citing papers authored by M Kohsaki

Since Specialization
Citations

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

Fields of papers citing papers by M Kohsaki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M Kohsaki

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