Tadayuki Akagi

66 total papers · 1.6k total citations
48 papers, 1.2k citations indexed

About

Tadayuki Akagi is a scholar working on Molecular Biology, Hematology and Immunology. According to data from OpenAlex, Tadayuki Akagi has authored 48 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 9 papers in Hematology and 8 papers in Immunology. Recurrent topics in Tadayuki Akagi's work include Pluripotent Stem Cells Research (16 papers), CRISPR and Genetic Engineering (12 papers) and Acute Myeloid Leukemia Research (9 papers). Tadayuki Akagi is often cited by papers focused on Pluripotent Stem Cells Research (16 papers), CRISPR and Genetic Engineering (12 papers) and Acute Myeloid Leukemia Research (9 papers). Tadayuki Akagi collaborates with scholars based in Japan, United States and Singapore. Tadayuki Akagi's co-authors include Takashi Yokota, Hiroshi Koide, H. Phillip Koeffler, Norihiko Kawamata, Hiroki Ura, Ryoko Okamoto, Hitoshi Niwa, Seishi Ogawa, Takahiko Matsuda and Jonathan Said and has published in prestigious journals such as Journal of Biological Chemistry, The EMBO Journal and Blood.

In The Last Decade

Tadayuki Akagi

47 papers receiving 1.2k citations

Author Peers

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

Author Last Decade Papers Cites
Tadayuki Akagi 766 189 185 149 143 48 1.2k
Josette Badet 896 1.2× 195 1.0× 143 0.8× 149 1.0× 213 1.5× 49 1.5k
Stefan Schmidt 718 0.9× 116 0.6× 255 1.4× 260 1.7× 223 1.6× 40 1.4k
Yoshiko Yasuda 414 0.5× 360 1.9× 189 1.0× 73 0.5× 140 1.0× 51 1.3k
Laurens T. van der Meer 741 1.0× 138 0.7× 121 0.7× 147 1.0× 204 1.4× 24 1.1k
Jozef Madžo 1.0k 1.3× 219 1.2× 174 0.9× 149 1.0× 201 1.4× 52 1.4k
M. Ueda 549 0.7× 495 2.6× 136 0.7× 147 1.0× 120 0.8× 47 1.4k
Liat Drucker 535 0.7× 247 1.3× 119 0.6× 107 0.7× 203 1.4× 71 1.1k
Mondira Kundu 754 1.0× 202 1.1× 80 0.4× 104 0.7× 117 0.8× 28 1.3k
Sara Mongiorgi 813 1.1× 358 1.9× 88 0.5× 97 0.7× 90 0.6× 51 1.1k
Annalisa Di Ruscio 1.1k 1.5× 342 1.8× 102 0.6× 110 0.7× 306 2.1× 36 1.5k

Countries citing papers authored by Tadayuki Akagi

Since Specialization
Citations

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

Fields of papers citing papers by Tadayuki Akagi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tadayuki Akagi

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