Emiko Sakaida

262 total papers · 2.1k total citations
103 papers, 849 citations indexed

About

Emiko Sakaida is a scholar working on Hematology, Oncology and Molecular Biology. According to data from OpenAlex, Emiko Sakaida has authored 103 papers receiving a total of 849 indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Hematology, 28 papers in Oncology and 17 papers in Molecular Biology. Recurrent topics in Emiko Sakaida's work include Acute Myeloid Leukemia Research (18 papers), Chronic Myeloid Leukemia Treatments (16 papers) and Hematopoietic Stem Cell Transplantation (13 papers). Emiko Sakaida is often cited by papers focused on Acute Myeloid Leukemia Research (18 papers), Chronic Myeloid Leukemia Treatments (16 papers) and Hematopoietic Stem Cell Transplantation (13 papers). Emiko Sakaida collaborates with scholars based in Japan, United States and Georgia. Emiko Sakaida's co-authors include Chiaki Nakaseko, Chikako Ohwada, Masahiro Takeuchi, Yusuke Takeda, Yasushi Saitō, Miki Nishimura, Akira Yokota, Naomi Shimizu, Tohru Iseki and Shokichi Tsukamoto and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Emiko Sakaida

92 papers receiving 835 citations

Author Peers

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

Author Last Decade Papers Cites
Emiko Sakaida 366 186 158 154 142 103 849
F Freyçon 240 0.7× 181 1.0× 102 0.6× 129 0.8× 170 1.2× 117 1.1k
Akihiro Iguchi 342 0.9× 217 1.2× 68 0.4× 50 0.3× 107 0.8× 83 1.0k
Dae Sik Kim 132 0.4× 173 0.9× 234 1.5× 73 0.5× 80 0.6× 73 772
Jochen Heymanns 135 0.4× 311 1.7× 87 0.6× 58 0.4× 256 1.8× 63 995
Dina Attias 205 0.6× 221 1.2× 44 0.3× 74 0.5× 215 1.5× 46 864
İdil Yenicesu 407 1.1× 82 0.4× 111 0.7× 37 0.2× 160 1.1× 70 835
Netanel A. Horowitz 215 0.6× 425 2.3× 60 0.4× 97 0.6× 150 1.1× 76 1.0k
Nicola Piccirillo 328 0.9× 175 0.9× 66 0.4× 53 0.3× 184 1.3× 67 710
J. Marrink 140 0.4× 97 0.5× 376 2.4× 245 1.6× 61 0.4× 66 1.0k
Ginette Schiby 223 0.6× 215 1.2× 71 0.4× 52 0.3× 116 0.8× 52 881

Countries citing papers authored by Emiko Sakaida

Since Specialization
Citations

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

Fields of papers citing papers by Emiko Sakaida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emiko Sakaida

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