Taneaki Tsugane

549 total citations
10 papers, 263 citations indexed

About

Taneaki Tsugane is a scholar working on Molecular Biology, Plant Science and Physiology. According to data from OpenAlex, Taneaki Tsugane has authored 10 papers receiving a total of 263 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Plant Science and 3 papers in Physiology. Recurrent topics in Taneaki Tsugane's work include Peroxisome Proliferator-Activated Receptors (3 papers), Chromosomal and Genetic Variations (3 papers) and Metabolism, Diabetes, and Cancer (3 papers). Taneaki Tsugane is often cited by papers focused on Peroxisome Proliferator-Activated Receptors (3 papers), Chromosomal and Genetic Variations (3 papers) and Metabolism, Diabetes, and Cancer (3 papers). Taneaki Tsugane collaborates with scholars based in Japan and United Kingdom. Taneaki Tsugane's co-authors include Daisuke Shibata, Koh Aoki, Haruya Takahashi, Nobuyuki Takahashi, Shizuka Hirai, Manabu Watanabe, Teruo Kawada, Shuji Inai, Yoko Iijima and Takashi Fujii and has published in prestigious journals such as PLoS ONE, The Plant Journal and Gene.

In The Last Decade

Taneaki Tsugane

10 papers receiving 249 citations

Peers

Taneaki Tsugane

PHYSI

BIOCH

Shang-Tse Ho Taiwan

Monika Okulicz Poland

Pollyanna Alves Secundo White Brazil

Mahmoud Ben Othman Japan

Yoana Kiselova‐Kaneva Bulgaria

Annabell Plauth Germany

Keita Yunoki Japan

Takehito Miura Japan

Alaaeldin Saleh Qatar

Shang-Tse Ho Taiwan

Taneaki Tsugane

194 ×1.2

72 ×0.8

59 ×1.2

PHYSI

31 ×1.0

46 ×1.5

BIOCH

Citations per year, relative to Taneaki Tsugane Taneaki Tsugane (= 1×) peers Shang-Tse Ho

Countries citing papers authored by Taneaki Tsugane

Since Specialization

Citations

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

Fields of papers citing papers by Taneaki Tsugane

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Taneaki Tsugane

This figure shows the co-authorship network connecting the top 25 collaborators of Taneaki Tsugane. A scholar is included among the top collaborators of Taneaki Tsugane 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 Taneaki Tsugane. Taneaki Tsugane is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

Hori, Kiyosumi, Jun Hosoi, Taneaki Tsugane, et al.. (2023). Fluctuation in genetic effects with introduced early- or late-heading-date gene alleles in near-isogenic lines with different genetic backgrounds in rice. Breeding Research. 25(2). 123–139. 1 indexed citations

Kim, Young‐Il, Shizuka Hirai, Tsuyoshi Goto, et al.. (2012). Potent PPARα Activator Derived from Tomato Juice, 13-oxo-9,11-Octadecadienoic Acid, Decreases Plasma and Hepatic Triglyceride in Obese Diabetic Mice. PLoS ONE. 7(2). e31317–e31317. 66 indexed citations

Yamamoto, Naoki, Tatsuya Suzuki, Takeshi Ara, et al.. (2012). MatchedIonsFinder: A software tool for revising alignment matrices of spectrograms from liquid chromatography-mass spectrometry. Plant Biotechnology. 29(1). 109–113. 3 indexed citations

Takahashi, Haruya, Young‐Il Kim, Shizuka Hirai, et al.. (2011). Comparative and Stability Analyses of 9- and 13-Oxo-octadecadienoic Acids in Various Species of Tomato. Bioscience Biotechnology and Biochemistry. 75(8). 1621–1624. 22 indexed citations

Kim, Young Il, Shizuka Hirai, Haruya Takahashi, et al.. (2010). 9‐oxo‐10(E),12(E)‐octadecadienoic acid derived from tomato is a potent PPAR α agonist to decrease triglyceride accumulation in mouse primary hepatocytes. Molecular Nutrition & Food Research. 55(4). 585–593. 74 indexed citations

Yano, Kentaro, Taneaki Tsugane, Manabu Watanabe, et al.. (2006). Non-biased distribution of tomato genes with no counterparts in Arabidopsis thaliana in expression patterns during fruit maturation. Plant Biotechnology. 23(2). 199–202. 6 indexed citations

Yano, Kentaro, Manabu Watanabe, Naoki Yamamoto, et al.. (2006). MiBASE: A database of a miniature tomato cultivar Micro-Tom. Plant Biotechnology. 23(2). 195–198. 22 indexed citations

Yamamoto, Naoki, Taneaki Tsugane, Manabu Watanabe, et al.. (2005). Expressed sequence tags from the laboratory-grown miniature tomato (Lycopersicon esculentum) cultivar Micro-Tom and mining for single nucleotide polymorphisms and insertions/deletions in tomato cultivars. Gene. 356. 127–134. 53 indexed citations

Tsugane, Taneaki, Manabu Watanabe, Kentaro Yano, et al.. (2005). Expressed sequence tags of full-length cDNA clones from the miniature tomato (Lycopersicon esculentum) cultivar Micro-Tom. Plant Biotechnology. 22(2). 161–165. 12 indexed citations

10.

Hanano, Shigeru, Masayuki Amagai, Takakazu Kaneko, et al.. (2002). Analysis of gene expression in Arabidopsis thaliana by array hybridization with genomic DNA fragments aligned along chromosomal regions. The Plant Journal. 30(2). 247–255. 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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