Daisuke Takei

26 total papers · 624 total citations
12 papers, 482 citations indexed

About

Daisuke Takei is a scholar working on Molecular Biology, Surgery and Cell Biology. According to data from OpenAlex, Daisuke Takei has authored 12 papers receiving a total of 482 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Surgery and 3 papers in Cell Biology. Recurrent topics in Daisuke Takei's work include Endoplasmic Reticulum Stress and Disease (3 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers) and Pancreatic function and diabetes (2 papers). Daisuke Takei is often cited by papers focused on Endoplasmic Reticulum Stress and Disease (3 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers) and Pancreatic function and diabetes (2 papers). Daisuke Takei collaborates with scholars based in Japan, United States and Australia. Daisuke Takei's co-authors include Yoshitomo Oka, Suguru Yamaguchi, Hisamitsu Ishihara, Akira Tamura, Hideki Katagiri, Takahiro Yamada, Rui Takahashi, Yoshio Maruyama, Jun‐ichi Miyazaki and Kenji Washio and has published in prestigious journals such as Biochemical and Biophysical Research Communications, FEBS Letters and Human Molecular Genetics.

In The Last Decade

Daisuke Takei

11 papers receiving 478 citations

Author Peers

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

Author						Papers	Cites
Daisuke Takei	276	224	157	144	63	12	482
Shiu‐Ying Ho	181 0.7×	248 1.1×	57 0.4×	56 0.4×	28 0.4×	11	456
Daniel Liedtke	169 0.6×	198 0.9×	23 0.1×	84 0.6×	10 0.2×	22	471
Nancy T. Malintan	273 1.0×	265 1.2×	28 0.2×	46 0.3×	8 0.1×	13	471
Di Gregorio	54 0.2×	146 0.7×	26 0.2×	43 0.3×	41 0.7×	19	439
Gianfranco Matrone	69 0.3×	218 1.0×	41 0.3×	23 0.2×	34 0.5×	14	491
Natalia Gustavsson	184 0.7×	257 1.1×	192 1.2×	76 0.5×	23 0.4×	16	468
Anne Wuttke	62 0.2×	238 1.1×	233 1.5×	53 0.4×	18 0.3×	12	443
Carla Aguiar	31 0.1×	321 1.4×	54 0.3×	45 0.3×	63 1.0×	16	548
Elina Hakonen	152 0.6×	176 0.8×	291 1.9×	183 1.3×	82 1.3×	12	535
Tatiana Danilova	287 1.0×	152 0.7×	157 1.0×	53 0.4×	174 2.8×	12	543

Countries citing papers authored by Daisuke Takei

Since Specialization

Citations

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

Fields of papers citing papers by Daisuke Takei

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daisuke Takei

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