Junko Takashima

19 total papers · 506 total citations
15 papers, 399 citations indexed

About

Junko Takashima is a scholar working on Molecular Biology, Pharmacology and Complementary and alternative medicine. According to data from OpenAlex, Junko Takashima has authored 15 papers receiving a total of 399 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 3 papers in Pharmacology and 3 papers in Complementary and alternative medicine. Recurrent topics in Junko Takashima's work include Natural product bioactivities and synthesis (4 papers), Bioactive natural compounds (3 papers) and Pharmacological Effects of Natural Compounds (2 papers). Junko Takashima is often cited by papers focused on Natural product bioactivities and synthesis (4 papers), Bioactive natural compounds (3 papers) and Pharmacological Effects of Natural Compounds (2 papers). Junko Takashima collaborates with scholars based in Japan and Australia. Junko Takashima's co-authors include Ayumi Ohsaki, Kanki Komiyama, Makoto Kawamura, Masahiko Hayashi, Yoshitaka Ikeda, Akio Kishida, Shin‐ichi Ayabe, Y. Imai, Kaisuke Yoneda and Yorihiro Yamamoto and has published in prestigious journals such as Journal of Pharmacology and Experimental Therapeutics, British Journal of Pharmacology and Journal of Natural Products.

In The Last Decade

Junko Takashima

15 papers receiving 378 citations

Author Peers

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

Author Last Decade Papers Cites
Junko Takashima 190 95 87 63 61 15 399
Ashraf A. El‐Bassuony 199 1.0× 94 1.0× 34 0.4× 74 1.2× 49 0.8× 24 404
Sung Ok Lee 162 0.9× 115 1.2× 49 0.6× 43 0.7× 34 0.6× 13 398
Hoyoku Nishino 227 1.2× 79 0.8× 62 0.7× 86 1.4× 113 1.9× 9 423
Cláudia Vargas Klimaczewski 70 0.4× 129 1.4× 77 0.9× 53 0.8× 43 0.7× 11 340
Toshio Miyase 173 0.9× 134 1.4× 45 0.5× 40 0.6× 33 0.5× 14 376
Alicia M. Aguinaldo 124 0.7× 112 1.2× 86 1.0× 107 1.7× 73 1.2× 17 375
Khong Trong Quan 196 1.0× 72 0.8× 52 0.6× 48 0.8× 37 0.6× 26 389
Pamela Ovadje 220 1.2× 84 0.9× 53 0.6× 57 0.9× 37 0.6× 11 396
De-Jian Guo 173 0.9× 144 1.5× 72 0.8× 69 1.1× 27 0.4× 9 439
Yuka Minoshima 170 0.9× 116 1.2× 45 0.5× 67 1.1× 98 1.6× 12 410

Countries citing papers authored by Junko Takashima

Since Specialization
Citations

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

Fields of papers citing papers by Junko Takashima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junko Takashima

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