Takeya Kasukawa

19.7k total citations · 1 hit paper
58 papers, 2.9k citations indexed

About

Takeya Kasukawa is a scholar working on Molecular Biology, Cancer Research and Endocrine and Autonomic Systems. According to data from OpenAlex, Takeya Kasukawa has authored 58 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Molecular Biology, 10 papers in Cancer Research and 7 papers in Endocrine and Autonomic Systems. Recurrent topics in Takeya Kasukawa's work include Genomics and Chromatin Dynamics (14 papers), RNA and protein synthesis mechanisms (10 papers) and RNA Research and Splicing (10 papers). Takeya Kasukawa is often cited by papers focused on Genomics and Chromatin Dynamics (14 papers), RNA and protein synthesis mechanisms (10 papers) and RNA Research and Splicing (10 papers). Takeya Kasukawa collaborates with scholars based in Japan, Italy and Australia. Takeya Kasukawa's co-authors include Hiroki R. Ueda, Piero Carninci, Yoshihide Hayashizaki, Imad Abugessaisa, Hideya Kawaji, Maki Ukai‐Tadenuma, Jun Kawai, Yoichi Minami, Tomoyoshi Soga and Masahiro Sugimoto and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Takeya Kasukawa

56 papers receiving 2.9k citations

Hit Papers

Cap analysis gene express... 2003 2026 2010 2018 2003 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Takeya Kasukawa Japan 28 2.0k 555 520 305 287 58 2.9k
Ken C. Q. Nguyen United States 28 2.0k 1.0× 393 0.7× 273 0.5× 225 0.7× 780 2.7× 54 3.4k
Oded Singer United States 21 3.1k 1.5× 566 1.0× 494 0.9× 469 1.5× 963 3.4× 35 5.3k
Dong Yan China 26 3.6k 1.8× 487 0.9× 484 0.9× 401 1.3× 420 1.5× 73 5.1k
Mathew T. Pletcher United States 27 1.7k 0.9× 520 0.9× 180 0.3× 198 0.6× 871 3.0× 44 3.2k
Wenbiao Chen United States 25 2.0k 1.0× 200 0.4× 188 0.4× 104 0.3× 582 2.0× 50 3.1k
Mario Vallejo Spain 32 2.0k 1.0× 287 0.5× 258 0.5× 131 0.4× 819 2.9× 81 3.8k
Loren Miraglia United States 27 2.7k 1.3× 1.3k 2.4× 477 0.9× 758 2.5× 303 1.1× 40 4.7k
Karl Kornacker United States 17 1.5k 0.8× 850 1.5× 179 0.3× 328 1.1× 270 0.9× 26 2.9k
Yumiko Saito Japan 34 2.0k 1.0× 1.1k 1.9× 285 0.5× 90 0.3× 413 1.4× 122 4.1k

Countries citing papers authored by Takeya Kasukawa

Since Specialization
Citations

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

Fields of papers citing papers by Takeya Kasukawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takeya Kasukawa

This figure shows the co-authorship network connecting the top 25 collaborators of Takeya Kasukawa. A scholar is included among the top collaborators of Takeya Kasukawa 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 Takeya Kasukawa. Takeya Kasukawa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Abugessaisa, Imad, Ri‐Ichiroh Manabe, C. K. Murphy, et al.. (2025). Iron regulatory pathways differentially expressed during Madurella mycetomatis grain development in Galleria mellonella. Nature Communications. 16(1). 5324–5324.
2.
Yatsuka, Yukiko, Akira Hasegawa, Takeya Kasukawa, et al.. (2025). Successful Diagnosis of Sengers Syndrome Using a Comprehensive Genomic Analysis. Molecular Genetics & Genomic Medicine. 13(1). e70048–e70048.
3.
Abugessaisa, Imad, Ri‐Ichiroh Manabe, Tsugumi Kawashima, et al.. (2023). OVCH1 Antisense RNA 1 is differentially expressed between non-frail and frail old adults. GeroScience. 46(2). 2063–2081. 1 indexed citations
4.
Bono, Hidemasa, et al.. (2022). Systematic Functional Annotation Workflow for Insects. Insects. 13(7). 586–586. 11 indexed citations
5.
Abugessaisa, Imad, Akira Hasegawa, Shuhei Noguchi, et al.. (2022). SkewC: Identifying cells with skewed gene body coverage in single-cell RNA sequencing data. iScience. 25(2). 103777–103777. 4 indexed citations
6.
Ducoli, Luca, Saumya Agrawal, Chung-Chau Hon, et al.. (2021). The choice of negative control antisense oligonucleotides dramatically impacts downstream analysis depending on the cellular background. BMC Genomic Data. 22(1). 33–33. 1 indexed citations
7.
Hamidi, Sofiane, Yukiko Nakaya, Hiroki Nagai, et al.. (2020). Mesenchymal-epithelial transition regulates initiation of pluripotency exit before gastrulation. Development. 147(3). 20 indexed citations
8.
Lizio, Marina, Shoko Watanabe, Masayoshi Itoh, et al.. (2017). Monitoring transcription initiation activities in rat and dog. Scientific Data. 4(1). 170173–170173. 6 indexed citations
9.
Bertin, Nicolas, Mickaël Mendez, Akira Hasegawa, et al.. (2017). Linking FANTOM5 CAGE peaks to annotations with CAGEscan. Scientific Data. 4(1). 170147–170147. 11 indexed citations
10.
Abugessaisa, Imad, Shuhei Noguchi, Akira Hasegawa, et al.. (2017). FANTOM5 CAGE profiles of human and mouse reprocessed for GRCh38 and GRCm38 genome assemblies. Scientific Data. 4(1). 170107–170107. 44 indexed citations
11.
Abugessaisa, Imad, Shuhei Noguchi, Michael E. Böttcher, et al.. (2017). SCPortalen: human and mouse single-cell centric database. Nucleic Acids Research. 46(D1). D781–D787. 39 indexed citations
12.
Francescatto, Margherita, Marina Lizio, Ingrid H.C.H.M. Philippens, et al.. (2017). Transcription start site profiling of 15 anatomical regions of the Macaca mulatta central nervous system. Scientific Data. 4(1). 170163–170163. 4 indexed citations
13.
Lizio, Marina, Ruslan Deviatiiarov, Hiroki Nagai, et al.. (2017). Systematic analysis of transcription start sites in avian development. PLoS Biology. 15(9). e2002887–e2002887. 28 indexed citations
14.
Abugessaisa, Imad, Takeya Kasukawa, & Hideya Kawaji. (2016). Genome Annotation. Methods in molecular biology. 1525. 107–121. 2 indexed citations
15.
Kumamoto, Takuma, Gunadi Gunadi, William L. McKenna, et al.. (2013). Foxg1 Coordinates the Switch from Nonradially to Radially Migrating Glutamatergic Subtypes in the Neocortex through Spatiotemporal Repression. Cell Reports. 3(3). 931–945. 76 indexed citations
16.
Kasukawa, Takeya, Masahiro Sugimoto, Akiko Hida, et al.. (2012). Human blood metabolite timetable indicates internal body time. Proceedings of the National Academy of Sciences. 109(37). 15036–15041. 174 indexed citations
17.
Minami, Yoichi, Takeya Kasukawa, Masayuki Iigo, et al.. (2009). Measurement of internal body time by blood metabolomics. Proceedings of the National Academy of Sciences. 106(24). 9890–9895. 205 indexed citations
18.
Matsumoto, Akira, Maki Ukai‐Tadenuma, Rikuhiro G. Yamada, et al.. (2007). A functional genomics strategy reveals clockwork orange as a transcriptional regulator in the Drosophila circadian clock. Genes & Development. 21(13). 1687–1700. 137 indexed citations
19.
Bono, Hidemasa, Ken Yagi, Takeya Kasukawa, et al.. (2003). Systematic Expression Profiling of the Mouse Transcriptome Using RIKEN cDNA Microarrays. Genome Research. 13(6b). 1318–1323. 65 indexed citations
20.
Furuno, Masaaki, Takeya Kasukawa, Rintaro Saito, et al.. (2003). CDS Annotation in Full-Length cDNA Sequence. Genome Research. 13(6b). 1478–1487. 59 indexed citations

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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