Koichi Misawa

913 citations
16 papers · 737 · h-index 10

Impact in

    • Phytochemicals and Antioxidant Activities
    • Coffee research and impacts
    • Ginger and Zingiberaceae research

Papers in

    • Peroxisome Proliferator-Activated Receptors 3
    • Metabolism, Diabetes, and Cancer 2
    • Metabolomics and Mass Spectrometry Studies 2
    • Adipose Tissue and Metabolism 5
    • Alzheimer's disease research and treatments 2

Koichi Misawa

15 papers receiving 725 citations

Peers

Koichi Misawa
Comparison fields: 5 of 82
  • Biochemistry 126
  • Pharmacology 98
  • Biological Psychiatry 28
  • Pharmacology 162
  • Complementary and alternative medicine 66
Replace Shengxi Meng with:
Shengxi Meng China
Maria Cristina Barbalace Italy
Yaoyao Jia South Korea
Haing Woon Baik South Korea
P. Chantre France
Manisha J. Oza India
Seon Kyeong Park South Korea
Diane Vallerand Canada
Ajaz Ahmad Ganai India
Cheng‐Hsiu Lin Taiwan
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Citations per field
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Shengxi Meng · 1×
Citations per year

Countries citing papers authored by Koichi Misawa

Since Specialization
Citations

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

Fields of papers citing papers by Koichi Misawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Koichi Misawa, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Koichi Misawa Line = papers co-authored together Koichi Misawa links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 2010173
2 2009130
3 201595
4 201066
5 200362
6 201962
7 201154
8 202036
9 201625
10 201515
11 20188
12 20187
13 20232
14 20171
15 20241
16 20180

About Koichi Misawa

Koichi Misawa is a scholar working on Molecular Biology, Physiology, Pharmacology, Pathology and Forensic Medicine and Biochemistry, having authored 16 papers that have together received 737 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (5 papers), Coffee research and impacts (4 papers), Tea Polyphenols and Effects (3 papers), Peroxisome Proliferator-Activated Receptors (3 papers), Phytochemicals and Antioxidant Activities (3 papers), Metabolism, Diabetes, and Cancer (2 papers), Alzheimer's disease research and treatments (2 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). The work is most often cited by research in Biochemistry (126 citations), Pharmacology (98 citations), Biological Psychiatry (28 citations), Pharmacology (162 citations) and Complementary and alternative medicine (66 citations). Koichi Misawa has collaborated with scholars based in Japan and Spain. Frequent co-authors include Tadashi Hase, Takatoshi Murase, Yoshihiko Minegishi, Satoshi Haramizu, Akira Shimotoyodome, Masaki Yamamoto, Yusuke Shibuya, Yasuto Suzuki, Masafumi Aoki and Keiko Ishida. Their work appears in journals such as American Journal of Physiology-Endocrinology and Metabolism, Journal of Agricultural and Food Chemistry, Food Research International, Neuroscience Research and Journal of Biological 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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