Jun Kawabata

8.3k citations
196 papers · 7.0k · h-index 48

Impact in

Papers in

Jun Kawabata

196 papers receiving 6.7k citations

Peers

Jun Kawabata
Comparison fields: 5 of 135
  • Biochemistry 1.3k
  • Biotechnology 906
  • Endocrinology, Diabetes and Metabolism 1.3k
  • Pharmacology 559
  • Complementary and alternative medicine 429
Replace Toshihiro Nohara with:
Toshihiro Nohara Japan
Cosimo Pìzza Italy
Toshihiro Akihisa Japan
Harukuni Tokuda Japan
Heikki Vuorela Finland
Xiaoyi Wei China
Nunziatina De Tommasi Italy
Tae‐Sook Jeong South Korea
R. Hiltunen Finland
Guillermo Schmeda‐Hirschmann Chile
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Citations per field
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Toshihiro Nohara · 1×
Citations per year

Countries citing papers authored by Jun Kawabata

Since Specialization
Citations

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

Fields of papers citing papers by Jun Kawabata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jun Kawabata, 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 Jun Kawabata Line = papers co-authored together Jun Kawabata links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 196 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007398
2
Antitumor activity of palmitic acid found as a selective cytotoxic substance in a marine red alga.
2003241
3 2000200
4 2005196
5 1997195
6 1998138
7 1995131
8 1999127
9 2004126
10 2004121
11 2007116
12 2006114
13 2007112
14 2006107
15 200896
16 199294
17 199090
18 199590
19 199989
20 200476

About Jun Kawabata

Jun Kawabata is a scholar working on Molecular Biology, Plant Science, Organic Chemistry, Biotechnology and Nutrition and Dietetics, having authored 196 papers that have together received 7.0k indexed citations. Recurring topics across this work include Phytochemicals and Antioxidant Activities (26 papers), Natural product bioactivities and synthesis (24 papers), Natural Antidiabetic Agents Studies (23 papers), Microbial Metabolites in Food Biotechnology (22 papers), Phytochemistry and Biological Activities (22 papers), Marine Sponges and Natural Products (21 papers), Carbohydrate Chemistry and Synthesis (19 papers) and Synthetic Organic Chemistry Methods (18 papers). The work is most often cited by research in Biochemistry (1.3k citations), Biotechnology (906 citations), Endocrinology, Diabetes and Metabolism (1.3k citations), Pharmacology (559 citations) and Complementary and alternative medicine (429 citations). Jun Kawabata has collaborated with scholars based in Japan, China and United States. Frequent co-authors include Eri Fukushi, Junya Mizutani, Megh Raj Bhandari, Hideyuki Kurihara, Takanori Kasai, Hong Gao, Chanida Hansawasdi, Shizuka Saito, Ryoya Niki and Eisuke Kato. Their work appears in journals such as Bioscience Biotechnology and Biochemistry, Phytochemistry, Food Chemistry, Tetrahedron Letters and Bioorganic & Medicinal Chemistry Letters.

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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