Shuso Takeda

84 total papers · 1.9k total citations
67 papers, 1.5k citations indexed

About

Shuso Takeda is a scholar working on Molecular Biology, Pharmacology and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Shuso Takeda has authored 67 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 20 papers in Pharmacology and 16 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Shuso Takeda's work include Cannabis and Cannabinoid Research (16 papers), Estrogen and related hormone effects (13 papers) and Effects and risks of endocrine disrupting chemicals (12 papers). Shuso Takeda is often cited by papers focused on Cannabis and Cannabinoid Research (16 papers), Estrogen and related hormone effects (13 papers) and Effects and risks of endocrine disrupting chemicals (12 papers). Shuso Takeda collaborates with scholars based in Japan, Cambodia and United States. Shuso Takeda's co-authors include Kazuhito Watanabe, Ikuo Yamamoto, Satoshi Yamaori, Hironori Aramaki, Rongrong Jiang, Yuji Ishii, Hideyuki Yamada, M Takiguchi, Masayo Hirao-Suzuki and Peter I. Mackenzie and has published in prestigious journals such as SHILAP Revista de lepidopterología, Biochemical and Biophysical Research Communications and Archives of Biochemistry and Biophysics.

In The Last Decade

Shuso Takeda

63 papers receiving 1.5k citations

Author Peers

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

Author						Papers	Cites
Shuso Takeda	678	454	267	239	188	67	1.5k
Tetsuo Satoh	762 1.1×	730 1.6×	183 0.7×	555 2.3×	311 1.7×	56	2.1k
L. P. C. Delbressine	305 0.4×	423 0.9×	81 0.3×	296 1.2×	204 1.1×	39	1.7k
Shigeyuki Usui	459 0.7×	772 1.7×	102 0.4×	157 0.7×	225 1.2×	85	1.9k
Shu‐Hui Juan	243 0.4×	1.1k 2.5×	183 0.7×	131 0.5×	167 0.9×	64	2.3k
Rhonda J. Rosengren	206 0.3×	624 1.4×	231 0.9×	201 0.8×	239 1.3×	66	1.7k
Jeffery J. Prusakiewicz	762 1.1×	320 0.7×	200 0.7×	111 0.5×	68 0.4×	26	1.4k
Neife Aparecida Guinaim dos Santos	291 0.4×	543 1.2×	114 0.4×	171 0.7×	323 1.7×	53	2.1k
Radim Vrzal	222 0.3×	742 1.6×	263 1.0×	589 2.5×	478 2.5×	80	2.2k
Seon‐Hee Oh	203 0.3×	975 2.1×	219 0.8×	194 0.8×	239 1.3×	65	2.1k
John M. Rimoldi	389 0.6×	762 1.7×	171 0.6×	121 0.5×	438 2.3×	82	1.9k

Countries citing papers authored by Shuso Takeda

Since Specialization

Citations

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

Fields of papers citing papers by Shuso Takeda

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuso Takeda

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