Takami Kakuda

63 total papers · 3.2k total citations
53 papers, 2.6k citations indexed

About

Takami Kakuda is a scholar working on Pathology and Forensic Medicine, Biochemistry and Complementary and alternative medicine. According to data from OpenAlex, Takami Kakuda has authored 53 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Pathology and Forensic Medicine, 15 papers in Biochemistry and 9 papers in Complementary and alternative medicine. Recurrent topics in Takami Kakuda's work include Tea Polyphenols and Effects (35 papers), Phytochemicals and Antioxidant Activities (14 papers) and Food Quality and Safety Studies (6 papers). Takami Kakuda is often cited by papers focused on Tea Polyphenols and Effects (35 papers), Phytochemicals and Antioxidant Activities (14 papers) and Food Quality and Safety Studies (6 papers). Takami Kakuda collaborates with scholars based in Japan, India and United States. Takami Kakuda's co-authors include Tomonori Unno, Akio SUGIMOTO, Ayumu Nozawa, Yuko Suzuki, Yuko M. Sagesaka, Kikue Kubota, Yuriko Ito, Makoto Kobayashi, Ikuo Ikeda and Tohru Fushiki and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Agricultural and Food Chemistry.

In The Last Decade

Takami Kakuda

52 papers receiving 2.5k citations

Author Peers

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

Author Last Decade Papers Cites
Takami Kakuda 1.3k 739 515 384 374 53 2.6k
Yoriyuki Nakamura 1.1k 0.9× 529 0.7× 484 0.9× 352 0.9× 328 0.9× 75 2.2k
Fumio Nanjo 1.5k 1.2× 1.3k 1.7× 712 1.4× 260 0.7× 453 1.2× 33 2.7k
Tomonori Unno 852 0.7× 605 0.8× 704 1.4× 187 0.5× 174 0.5× 58 2.1k
Jian‐Liang Lu 1.6k 1.3× 1.0k 1.4× 710 1.4× 139 0.4× 749 2.0× 82 3.1k
Zhonghua Liu 1.8k 1.4× 764 1.0× 993 1.9× 316 0.8× 1.0k 2.8× 144 3.4k
Zhongwen Xie 799 0.6× 432 0.6× 1.1k 2.1× 161 0.4× 359 1.0× 114 2.8k
Sheila A. Wiseman 1.7k 1.3× 2.2k 2.9× 529 1.0× 138 0.4× 576 1.5× 31 4.1k
Xin‐Qiang Zheng 1.6k 1.2× 906 1.2× 852 1.7× 136 0.4× 856 2.3× 92 3.3k
Tie-Jun Ling 1.3k 1.0× 611 0.8× 634 1.2× 161 0.4× 766 2.0× 55 2.1k
Elsa M. Janle 399 0.3× 613 0.8× 810 1.6× 159 0.4× 232 0.6× 60 2.7k

Countries citing papers authored by Takami Kakuda

Since Specialization
Citations

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

Fields of papers citing papers by Takami Kakuda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takami Kakuda

This figure shows the co-authorship network connecting the top 25 collaborators of Takami Kakuda. A scholar is included among the top collaborators of Takami Kakuda 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 Takami Kakuda. Takami Kakuda 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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2026