Yasuo Ichikawa

43 total papers · 1.4k total citations
34 papers, 1.2k citations indexed

About

Yasuo Ichikawa is a scholar working on Molecular Biology, Hematology and Immunology. According to data from OpenAlex, Yasuo Ichikawa has authored 34 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 6 papers in Hematology and 6 papers in Immunology. Recurrent topics in Yasuo Ichikawa's work include RNA Interference and Gene Delivery (4 papers), Chronic Myeloid Leukemia Treatments (3 papers) and Protein Kinase Regulation and GTPase Signaling (3 papers). Yasuo Ichikawa is often cited by papers focused on RNA Interference and Gene Delivery (4 papers), Chronic Myeloid Leukemia Treatments (3 papers) and Protein Kinase Regulation and GTPase Signaling (3 papers). Yasuo Ichikawa collaborates with scholars based in Japan and Israel. Yasuo Ichikawa's co-authors include Kazuhiro Nagata, Michiyuki Maeda, Leo Sachs, Michael Paran, Motoi Suwa, Yuji Saito, Go Hasegawa, Masashi Kikuchi, Masaru Matsumoto and Junji Sagara and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Biochemical Journal and Experimental Cell Research.

In The Last Decade

Yasuo Ichikawa

34 papers receiving 1.1k citations

Hit Papers

Differentiation of a cell... 1969 2026 1988 2007 1969 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Yasuo Ichikawa 552 316 255 186 169 34 1.2k
Scott R. Burger 432 0.8× 295 0.9× 229 0.9× 349 1.9× 36 0.2× 35 1.3k
Wen Cao 748 1.4× 301 1.0× 68 0.3× 196 1.1× 115 0.7× 30 1.4k
Xiaoli Zhang 606 1.1× 275 0.9× 159 0.6× 133 0.7× 182 1.1× 59 1.4k
Amy E. Lin 453 0.8× 499 1.6× 155 0.6× 299 1.6× 87 0.5× 32 1.3k
Audrey Ferrand 574 1.0× 175 0.6× 152 0.6× 435 2.3× 211 1.2× 46 1.4k
Tania Pannellini 410 0.7× 514 1.6× 69 0.3× 295 1.6× 43 0.3× 51 1.5k
Takashi Terasawa 387 0.7× 551 1.7× 341 1.3× 211 1.1× 42 0.2× 62 1.3k
Yoshinobu Nakao 388 0.7× 723 2.3× 113 0.4× 146 0.8× 25 0.1× 69 1.5k
Peter Giles 684 1.2× 380 1.2× 60 0.2× 103 0.6× 87 0.5× 32 1.4k
Suzana Marušić 493 0.9× 791 2.5× 74 0.3× 234 1.3× 85 0.5× 26 1.5k

Countries citing papers authored by Yasuo Ichikawa

Since Specialization
Citations

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

Fields of papers citing papers by Yasuo Ichikawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yasuo Ichikawa

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