Atsushi Nesumi

632 total citations
24 papers, 508 citations indexed

About

Atsushi Nesumi is a scholar working on Pathology and Forensic Medicine, Biochemistry and Food Science. According to data from OpenAlex, Atsushi Nesumi has authored 24 papers receiving a total of 508 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Pathology and Forensic Medicine, 9 papers in Biochemistry and 9 papers in Food Science. Recurrent topics in Atsushi Nesumi's work include Tea Polyphenols and Effects (17 papers), Phytochemicals and Antioxidant Activities (9 papers) and Fermentation and Sensory Analysis (5 papers). Atsushi Nesumi is often cited by papers focused on Tea Polyphenols and Effects (17 papers), Phytochemicals and Antioxidant Activities (9 papers) and Fermentation and Sensory Analysis (5 papers). Atsushi Nesumi collaborates with scholars based in Japan, Slovakia and China. Atsushi Nesumi's co-authors include Mari Maeda‐Yamamoto, Akira Murakami, Hirofumi Inoue, Takeshi Saito, Satoko Akiyama, Tomomasa Kanda, Hideki Horie, Hirofumi Tachibana, Yoshiyuki Takeda and Motoyuki Tagashira and has published in prestigious journals such as PLoS ONE, Journal of Agricultural and Food Chemistry and Journal of Chromatography A.

In The Last Decade

Atsushi Nesumi

20 papers receiving 489 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Atsushi Nesumi Japan 12 260 223 158 110 62 24 508
Jeong Kee Kim South Korea 13 206 0.8× 139 0.6× 216 1.4× 111 1.0× 73 1.2× 23 491
Yushun Gong China 14 387 1.5× 203 0.9× 147 0.9× 198 1.8× 57 0.9× 31 694
Tao Xia China 14 258 1.0× 161 0.7× 261 1.7× 144 1.3× 139 2.2× 18 585
Lifei Wang China 7 267 1.0× 187 0.8× 105 0.7× 219 2.0× 31 0.5× 10 464
Shizuka Tamaru Japan 16 172 0.7× 134 0.6× 126 0.8× 84 0.8× 57 0.9× 30 608
Suri Roowi Malaysia 9 172 0.7× 314 1.4× 212 1.3× 107 1.0× 107 1.7× 15 577
Kenneth Jones United States 9 350 1.3× 118 0.5× 227 1.4× 97 0.9× 82 1.3× 9 682
Theresa Beelders South Africa 12 121 0.5× 225 1.0× 159 1.0× 121 1.1× 133 2.1× 15 526
Chantal Castagnino France 8 67 0.3× 146 0.7× 140 0.9× 89 0.8× 85 1.4× 9 395
Yu-Chen Chang Taiwan 6 131 0.5× 254 1.1× 168 1.1× 154 1.4× 144 2.3× 8 635

Countries citing papers authored by Atsushi Nesumi

Since Specialization
Citations

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

Fields of papers citing papers by Atsushi Nesumi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Atsushi Nesumi

This figure shows the co-authorship network connecting the top 25 collaborators of Atsushi Nesumi. A scholar is included among the top collaborators of Atsushi Nesumi 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 Atsushi Nesumi. Atsushi Nesumi 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
1.
Nomura, Sachiko, et al.. (2021). Effects of a Tea Cultivar “MK5601” on Behaviors and Hippocampal Neurotrophin-3 Levels in Middle-Aged Mice. Journal of Nutritional Science and Vitaminology. 67(3). 170–179.
2.
Matsunaga, Akiko, et al.. (2021). A New Middle Budding Green Tea Cultivar ‘Kanaemaru’ with Resistance to White Peach Scale (<i>Pseudaulacaspis pentagona</i> (Targioni-Tozetti)). Chagyo Kenkyu Hokoku (Tea Research Journal). 2021(132). 1–13.
3.
Taniguchi, Fumiya, et al.. (2019). A new DNA marker CafLess-TCS1 for selection of caffeine-less tea plants. Breeding Science. 69(3). 393–400. 8 indexed citations
4.
5.
Nomura, Sachiko, Manami Monobe, Kaori Ema, Mari Maeda‐Yamamoto, & Atsushi Nesumi. (2017). Comparison of the Effects of Three Tea Cultivars (<i>Camellia sinensis</i> L.) on Nitric Oxide Production and Aortic Soluble Guanylate Cyclase Expression in High-Salt Diet-Fed Spontaneously Hypertensive Rats. Journal of Nutritional Science and Vitaminology. 63(5). 306–314. 4 indexed citations
6.
7.
Monobe, Manami, Sachiko Nomura, Kaori Ema, et al.. (2015). Quercetin Glycosides-rich Tea Cultivars (<i>Camellia sinensis</i> L.) in Japan. Food Science and Technology Research. 21(3). 333–340. 24 indexed citations
8.
Inoue, Hirofumi, et al.. (2013). Low and Medium but Not High Doses of Green Tea Polyphenols Ameliorated Dextran Sodium Sulfate-Induced Hepatotoxicity and Nephrotoxicity. Bioscience Biotechnology and Biochemistry. 77(6). 1223–1228. 45 indexed citations
9.
Maeda‐Yamamoto, Mari, Takeshi Saito, Atsushi Nesumi, et al.. (2012). Chemical analysis and acetylcholinesterase inhibitory effect of anthocyanin‐rich red leaf tea (cv. Sunrouge). Journal of the Science of Food and Agriculture. 92(11). 2379–2386. 29 indexed citations
10.
Inoue, Hirofumi, Mari Maeda‐Yamamoto, Atsushi Nesumi, & Akira Murakami. (2012). Delphinidin-3-O-galactoside protects mouse hepatocytes from (−)-epigallocatechin-3-gallate–induced cytotoxicity via up-regulation of heme oxygenase-1 and heat shock protein 70. Nutrition Research. 32(5). 357–364. 16 indexed citations
11.
Akiyama, Satoko, Atsushi Nesumi, Mari Maeda‐Yamamoto, Mariko Uehara, & Akira Murakami. (2012). Effects of anthocyanin‐rich tea “Sunrouge” on dextran sodium sulfate‐induced colitis in mice. BioFactors. 38(3). 226–233. 29 indexed citations
12.
13.
Fujimura, Yoshinori, Daisuke Miura, Hiroyuki Wariishi, et al.. (2011). Metabolomics-Driven Nutraceutical Evaluation of Diverse Green Tea Cultivars. PLoS ONE. 6(8). e23426–e23426. 76 indexed citations
14.
Saito, Takeshi, et al.. (2011). Anthocyanins from New Red Leaf Tea ‘Sunrouge’. Journal of Agricultural and Food Chemistry. 59(9). 4779–4782. 57 indexed citations
15.
Nesumi, Atsushi, et al.. (2010). Chemosystematics of tea trees based on tea leaf polyphenols as phenetic markers. Phytochemistry. 71(11-12). 1342–1349. 21 indexed citations
16.
Nesumi, Atsushi & Yoshiyuki Takeda. (2006). New Tea Parental Line, ^|^lsquo;MAKURA No. 1^|^rsquo;, for Breeding Cultivars with High Tannin and Caffeine Contents and a Flowery Flavor. Japan Agricultural Research Quarterly JARQ. 40(2). 143–148. 2 indexed citations
17.
Ogino, Akifumi, et al.. (2006). Genetic diversity of the contents of caffeine, catechins, and free amino acids in tea leaves collected from northern mountain areas of Vietnam. 1 indexed citations
18.
Horie, Hideki, Atsushi Nesumi, Tomomi Ujihara, & Katsunori Kohata. (2002). Rapid determination of caffeine in tea leaves. Journal of Chromatography A. 942(1-2). 271–273. 40 indexed citations
19.
Terahara, Norihiko, Yoshiyuki Takeda, Atsushi Nesumi, & Toshio Honda. (2001). Anthocyanins from red flower tea (Benibana-cha), Camellia sinensis. Phytochemistry. 56(4). 359–361. 35 indexed citations
20.
Takeda, Yoshiyuki, et al.. (1993). Variation of Pubescent Patterns of Young Leaves in the Genetic Resources of Tea (Camellia sinensis). Chagyo Kenkyu Hokoku (Tea Research Journal). 1993(78). 11–21. 4 indexed citations

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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