Hidemi Takata

33 total papers · 562 total citations
23 papers, 441 citations indexed

About

Hidemi Takata is a scholar working on Epidemiology, Surgery and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Hidemi Takata has authored 23 papers receiving a total of 441 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Epidemiology, 6 papers in Surgery and 5 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Hidemi Takata's work include Congenital Heart Disease Studies (7 papers), Enzyme Production and Characterization (5 papers) and Biofuel production and bioconversion (3 papers). Hidemi Takata is often cited by papers focused on Congenital Heart Disease Studies (7 papers), Enzyme Production and Characterization (5 papers) and Biofuel production and bioconversion (3 papers). Hidemi Takata collaborates with scholars based in Japan and China. Hidemi Takata's co-authors include S Okada, T. Imanaka, Takashi Kuriki, Takeshi Takaha, Masahiro Takagi, Takahiro Imanaka, Osamu Yamada, Toshikatsu Yagihara, Aya Miyazaki and Hideo Ohuchi and has published in prestigious journals such as Applied and Environmental Microbiology, Journal of Bacteriology and Applied Microbiology and Biotechnology.

In The Last Decade

Hidemi Takata

21 papers receiving 433 citations

Author Peers

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

Author						Papers	Cites
Hidemi Takata	238	166	142	98	93	23	441
Susumu Ito	143 0.6×	47 0.3×	129 0.9×	70 0.7×	146 1.6×	17	463
Roma Pahwa	29 0.1×	23 0.1×	135 1.0×	51 0.5×	52 0.6×	18	390
Huachun Pan	21 0.1×	40 0.2×	177 1.2×	18 0.2×	75 0.8×	25	437
Veronica Mantovani	27 0.1×	95 0.6×	166 1.2×	53 0.5×	40 0.4×	24	471
M. D. O’Donnell	123 0.5×	59 0.4×	124 0.9×	63 0.6×	16 0.2×	20	473
Satoshi Koikeda	98 0.4×	34 0.2×	294 2.1×	52 0.5×	20 0.2×	21	495
Barbara Darnhofer	35 0.1×	16 0.1×	273 1.9×	47 0.5×	60 0.6×	35	471
Masao Seiki	142 0.6×	42 0.3×	168 1.2×	63 0.6×	7 0.1×	20	486
Danqing Zhao	26 0.1×	29 0.2×	103 0.7×	34 0.3×	89 1.0×	32	412
Ming-Kai Chern	114 0.5×	10 0.1×	238 1.7×	66 0.7×	53 0.6×	14	403

Countries citing papers authored by Hidemi Takata

Since Specialization

Citations

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

Fields of papers citing papers by Hidemi Takata

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hidemi Takata

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