Takami Kakuda

3.2k citations
53 papers · 2.6k indexed · h-index 30
Topics
Tea Polyphenols and Effects (35 papers)Phytochemicals and Antioxidant Activities (14 papers)Food Quality and Safety Studies (6 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEJournal of Agricultural and Food Chemistry
Partner nations
JapanIndiaUnited States

In The Last Decade

Takami Kakuda

52 papers receiving 2.5k citations

Peers

Takami Kakuda
Comparison fields: 5 of 122
  • Pathology and Forensic Medicine 1.3k
  • Biochemistry 739
  • Molecular Biology 515
  • Biological Psychiatry 385
  • Food Science 374
Replace Tomonori Unno with:
Tomonori Unno Japan
Hidehiko Yokogoshi Japan
Yoriyuki Nakamura Japan
Keiko Unno Japan
Hagen Schroeter United Kingdom
Mehrdad Roghani Iran
Akbar Hajizadeh Moghaddam Iran
Elsa M. Janle United States
Paul E. Milbury United States
Zhongwen Xie China
Takami Kakuda relative to Tomonori Unno Japan Tomonori Unno's profile →
Citations per field
00.5×1.5×2.1×
Tomonori Unno · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 18
2 13
3 13
4 6
5 94
6 62
7 49
8 3
9 75
10 179
11 1
12 107
13 81
14 1
15 58
16 35
17 11
18 0
19 168
20 16

About Takami Kakuda

Takami Kakuda is a scholar working on Biochemistry, Pathology and Forensic Medicine and Biological Psychiatry, having authored 53 papers that have together received 2.6k indexed citations. Recurring topics across this work include Tea Polyphenols and Effects (35 papers), Phytochemicals and Antioxidant Activities (14 papers) and Food Quality and Safety Studies (6 papers). The work is most often cited by research in Biological Psychiatry (385 citations), Biochemistry (739 citations) and Pathology and Forensic Medicine (1.3k citations). Takami Kakuda has collaborated with scholars based in Japan, India and United States. Frequent 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. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Agricultural and Food Chemistry.

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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