Ikuya Sakai

63 total papers · 1.3k total citations
50 papers, 1.0k citations indexed

About

Ikuya Sakai is a scholar working on Oncology, Molecular Biology and Hematology. According to data from OpenAlex, Ikuya Sakai has authored 50 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Oncology, 11 papers in Molecular Biology and 11 papers in Hematology. Recurrent topics in Ikuya Sakai's work include Cytokine Signaling Pathways and Interactions (8 papers), Lymphoma Diagnosis and Treatment (7 papers) and Viral-associated cancers and disorders (6 papers). Ikuya Sakai is often cited by papers focused on Cytokine Signaling Pathways and Interactions (8 papers), Lymphoma Diagnosis and Treatment (7 papers) and Viral-associated cancers and disorders (6 papers). Ikuya Sakai collaborates with scholars based in Japan, United States and Greece. Ikuya Sakai's co-authors include Andrew S. Kraft, Shigeru Fujita, Masaki Yasukawa, Farida S. Sharief, Yoshihiro Yakushijin, Takaaki Hato, Stuart J. Frank, Woelsung Yi, Hayato Yamauchi and Jing Jiang and has published in prestigious journals such as Journal of Biological Chemistry, Blood and The Journal of Immunology.

In The Last Decade

Ikuya Sakai

46 papers receiving 1.0k citations

Author Peers

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

Author Last Decade Papers Cites
Ikuya Sakai 452 419 300 150 111 50 1.0k
Tomoko Yoshioka 306 0.7× 410 1.0× 307 1.0× 165 1.1× 64 0.6× 47 984
Toshimasa Nakagawa 443 1.0× 487 1.2× 425 1.4× 75 0.5× 55 0.5× 29 1.2k
Kentaro Bandobashi 419 0.9× 518 1.2× 187 0.6× 150 1.0× 122 1.1× 33 1.1k
Shunji Yamamori 315 0.7× 423 1.0× 136 0.5× 236 1.6× 137 1.2× 52 1.2k
Patrizia Mella 281 0.6× 237 0.6× 552 1.8× 197 1.3× 40 0.4× 29 1.2k
Jiandong Zhang 277 0.6× 355 0.8× 295 1.0× 166 1.1× 61 0.5× 35 980
Mikio Kajihara 258 0.6× 271 0.6× 230 0.8× 167 1.1× 100 0.9× 49 903
Kunio Nakahara 167 0.4× 533 1.3× 318 1.1× 87 0.6× 54 0.5× 50 1.2k
F. M. Sirotnak 321 0.7× 410 1.0× 140 0.5× 116 0.8× 219 2.0× 43 1.1k
Jianqiong Zhu 316 0.7× 400 1.0× 135 0.5× 198 1.3× 36 0.3× 34 929

Countries citing papers authored by Ikuya Sakai

Since Specialization
Citations

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

Fields of papers citing papers by Ikuya Sakai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ikuya Sakai

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