Kunihisa Iwai

852 citations
33 papers · 697 indexed · h-index 13
Topics
Phytochemicals and Antioxidant Activities (14 papers)Phytochemistry and Biological Activities (6 papers)Natural Antidiabetic Agents Studies (6 papers)

In The Last Decade

Kunihisa Iwai

33 papers receiving 629 citations

Peers

Kunihisa Iwai
Comparison fields: 5 of 86
  • Molecular Biology 235
  • Biochemistry 223
  • Plant Science 188
  • Food Science 151
  • Endocrinology, Diabetes and Metabolism 143
Replace Md Badrul Alam with:
Md Badrul Alam South Korea
Chong Ning China
Gao Zhou China
Ha Sook Chung South Korea
Yangpeng Lu China
Lincoln W. MORTON Australia
Emma M. Brown United Kingdom
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Kunihisa Iwai relative to Md Badrul Alam South Korea Md Badrul Alam's profile →
Citations per field
00.5×11.7×
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Citations per year

Countries citing papers authored by Kunihisa Iwai

Since Specialization
Citations

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

Fields of papers citing papers by Kunihisa Iwai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kunihisa Iwai

This figure shows the co-authorship network connecting the top 25 collaborators of Kunihisa Iwai. A scholar is included among the top collaborators of Kunihisa Iwai 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 Kunihisa Iwai. Kunihisa Iwai 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 8
2 12
3 7
4 2
5 2
6 10
7 174
8 28
9 29
10
Antioxidant Effects of Korean Teabag Teas by a Simple and Fast XYZ-dish Method
3
11 12
12 32
13 89
14
Relationship Between Antioxidant Activity of Commercial Tea Dirnks by XYZ-dish Method and Their Concentrations of Catechins
1
15
XYZ-dish Method as a New Antioxidant Activity Assay Using Photon Detection
10
16 7
17 7
18 5
19 7
20
Localizing Ability of [48V] Vanadyl(IV)-Pheophorbide into Tumor
1

About Kunihisa Iwai

Kunihisa Iwai is a scholar working on Biochemistry, Pathology and Forensic Medicine and Endocrinology, Diabetes and Metabolism, having authored 33 papers that have together received 697 indexed citations. Recurring topics across this work include Phytochemicals and Antioxidant Activities (14 papers), Phytochemistry and Biological Activities (6 papers) and Natural Antidiabetic Agents Studies (6 papers). The work is most often cited by research in Biochemistry (223 citations), Aquatic Science (107 citations) and Endocrinology, Diabetes and Metabolism (143 citations). Kunihisa Iwai has collaborated with scholars based in Japan, South Korea and United States. Frequent co-authors include Hajime Matsue, Mi‐Yeon Kim, Yoshihiro Kawasaki, Yasuo Saito, Tomohiko Nishijima, Kaoru Abe, Shuichi Kimura, Akemi Yasukawa, Toshio Norikura and Yoshiaki Takaya. Their work appears in journals such as Journal of Agricultural and Food Chemistry, British Journal Of Nutrition and Journal of the Science of Food and Agriculture.

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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