Fumio Takada

53 total papers · 1.5k total citations
33 papers, 621 citations indexed

About

Fumio Takada is a scholar working on Molecular Biology, Genetics and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Fumio Takada has authored 33 papers receiving a total of 621 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 13 papers in Genetics and 4 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Fumio Takada's work include Connective tissue disorders research (5 papers), BRCA gene mutations in cancer (5 papers) and Prenatal Screening and Diagnostics (4 papers). Fumio Takada is often cited by papers focused on Connective tissue disorders research (5 papers), BRCA gene mutations in cancer (5 papers) and Prenatal Screening and Diagnostics (4 papers). Fumio Takada collaborates with scholars based in Japan, United States and Canada. Fumio Takada's co-authors include Michiyuki Kawakami, Yoshinaga Takayama, Yoshimitsu Fukushima, Hiromi Hatsuse, Aki Takahashi, Shiro Ikegawa, Yusuke Nakamura, Minoru Isomura, Nigel G. Laing and Carina Wallgren‐Pettersson and has published in prestigious journals such as The Journal of Immunology, Neurology and Annals of Neurology.

In The Last Decade

Fumio Takada

29 papers receiving 610 citations

Author Peers

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

Author						Papers	Cites
Fumio Takada	405	165	150	105	72	33	621
Gwennan André‐Grégoire	428 1.1×	127 0.8×	78 0.5×	45 0.4×	47 0.7×	35	790
Stephan Ryser	475 1.2×	103 0.6×	70 0.5×	55 0.5×	21 0.3×	22	717
Mélanie Lambert	454 1.1×	122 0.7×	47 0.3×	107 1.0×	13 0.2×	28	792
Céline Derambure	206 0.5×	161 1.0×	42 0.3×	23 0.2×	72 1.0×	33	691
Frédéric Esnard	320 0.8×	71 0.4×	50 0.3×	27 0.3×	96 1.3×	28	641
Noémi Polgár	384 0.9×	105 0.6×	215 1.4×	68 0.6×	28 0.4×	30	744
Anita Maász	183 0.5×	110 0.7×	137 0.9×	149 1.4×	20 0.3×	45	681
Gillian Borland	365 0.9×	197 1.2×	54 0.4×	33 0.3×	33 0.5×	25	722
Victor Babich	481 1.2×	102 0.6×	85 0.6×	37 0.4×	16 0.2×	29	762
Gregory N. Prado	330 0.8×	251 1.5×	36 0.2×	57 0.5×	231 3.2×	28	703

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

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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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