Fumio Takada

458 total citations
10 papers, 384 citations indexed

About

Fumio Takada is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Cellular and Molecular Neuroscience. According to data from OpenAlex, Fumio Takada has authored 10 papers receiving a total of 384 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Cardiology and Cardiovascular Medicine and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Fumio Takada's work include Cardiomyopathy and Myosin Studies (3 papers), Genetic Neurodegenerative Diseases (2 papers) and Genetic Syndromes and Imprinting (2 papers). Fumio Takada is often cited by papers focused on Cardiomyopathy and Myosin Studies (3 papers), Genetic Neurodegenerative Diseases (2 papers) and Genetic Syndromes and Imprinting (2 papers). Fumio Takada collaborates with scholars based in Japan, United States and Tunisia. Fumio Takada's co-authors include Terri G. Thompson, Louis M. Kunkel, Alan H. Beggs, Douglas L. Vander Woude, Simon C. Watkins, Kiyoshi Imaizumi, Yoshikazu Kuroki, Kenji Naritomi, Norio Niikawa and Yoshinaga Takayama and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the Neurological Sciences and Genomics.

In The Last Decade

Fumio Takada

9 papers receiving 371 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fumio Takada Japan 6 270 142 99 70 64 10 384
Michela Salamon Italy 9 466 1.7× 382 2.7× 65 0.7× 94 1.3× 126 2.0× 10 639
Tadeusz Marciniec Poland 7 524 1.9× 88 0.6× 27 0.3× 62 0.9× 59 0.9× 9 603
N. J. Severs United Kingdom 11 280 1.0× 73 0.5× 57 0.6× 64 0.9× 61 1.0× 22 439
Stefanie M. Novak United States 9 280 1.0× 162 1.1× 34 0.3× 122 1.7× 50 0.8× 14 404
J. Léger France 12 450 1.7× 224 1.6× 35 0.4× 107 1.5× 74 1.2× 29 585
Christa van den Elzen Netherlands 8 264 1.0× 37 0.3× 60 0.6× 34 0.5× 40 0.6× 8 328
Alison M. Maggs United Kingdom 9 334 1.2× 131 0.9× 32 0.3× 132 1.9× 50 0.8× 11 459
Gerolamo Lanfranchi Italy 8 361 1.3× 85 0.6× 25 0.3× 79 1.1× 44 0.7× 9 423
Romain Joubert France 11 253 0.9× 72 0.5× 31 0.3× 72 1.0× 49 0.8× 16 346
Thomas Löwe Germany 7 349 1.3× 244 1.7× 30 0.3× 118 1.7× 118 1.8× 8 479

Countries citing papers authored by Fumio Takada

Since Specialization
Citations

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

Fields of papers citing papers by Fumio Takada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fumio Takada

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

All Works

10 of 10 papers shown
1.
Bönnemann, Carsten G., Terri G. Thompson, Peter F. M. van der Ven, et al.. (2002). Filamin C accumulation is a strong but nonspecific immunohistochemical marker of core formation in muscle. Journal of the Neurological Sciences. 206(1). 71–78. 46 indexed citations
2.
Takada, Fumio. (2001). Myozenin: An alpha -actinin- and gamma -filamin-binding protein of skeletal muscle Z lines. Proceedings of the National Academy of Sciences. 98(4). 1595–1600. 113 indexed citations
3.
Takada, Fumio, Douglas L. Vander Woude, Terri G. Thompson, et al.. (2001). Myozenin: An α-actinin- and γ-filamin-binding protein of skeletal muscle Z lines. Proceedings of the National Academy of Sciences. 98(4). 1595–1600. 158 indexed citations
5.
Takada, Fumio, et al.. (1994). Asphyxiating thoracic dystrophy: Surgical correction and 2-year follow-up in a girl. The Japanese Journal of Human Genetics. 39(2). 269–273. 11 indexed citations
6.
Takahashi, Yasushi, Kiyoshi Imaizumi, Fumio Takada, & Yoshikazu Kuroki. (1994). Metacarpophalangeal pattern profile analysis in 14 Japanese children with Sotos syndrome. The Japanese Journal of Human Genetics. 39(1). 187–191. 1 indexed citations
7.
Imaizumi, Kiyoshi, et al.. (1990). Cytogenetic and molecular study of the Angelman syndrome. American Journal of Medical Genetics. 35(3). 314–318. 33 indexed citations
8.
Nakamura, Yoshihiro, et al.. (1990). Efficacy of Thermochemotherapy on Rat Implanted Solid:Yoshida Sarcoma Histopathological Study. Medical Entomology and Zoology. 6(1). 51–67.
9.
Takada, Fumio, et al.. (1982). The DDS syndrome and the quadrant theorem. The masticatory system: general signs and symptomatology.. PubMed. 5(1). 4–11. 3 indexed citations
10.
Takada, Fumio. (1971). Stereological studies of vascularization phenomena. 5. Stereological studies on the vascular restoration in the autotransplanted area of the monkey mandible.. PubMed. 5(2). 163–83. 1 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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