Atsuko Tsuchida

1.5k total citations · 1 hit paper
7 papers, 988 citations indexed

About

Atsuko Tsuchida is a scholar working on Molecular Biology, Physiology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Atsuko Tsuchida has authored 7 papers receiving a total of 988 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Physiology and 2 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Atsuko Tsuchida's work include Adipose Tissue and Metabolism (3 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers) and Renin-Angiotensin System Studies (2 papers). Atsuko Tsuchida is often cited by papers focused on Adipose Tissue and Metabolism (3 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers) and Renin-Angiotensin System Studies (2 papers). Atsuko Tsuchida collaborates with scholars based in Japan and United Kingdom. Atsuko Tsuchida's co-authors include Kajuro Komeda, Yasuo Akanuma, Junji Kamon, Hiroshi Miki, Satoshi Kimura, Ryozo Nagai, Takashi Kadowaki, Toshimasa Yamauchi, Yasuo Terauchi and Kazuyuki Tobe and has published in prestigious journals such as Journal of Biological Chemistry, Nature Genetics and Genes & Development.

In The Last Decade

Atsuko Tsuchida

6 papers receiving 952 citations

Hit Papers

The Mechanisms by Which Both Heterozygous Peroxisome Prol... 2001 2026 2009 2017 2001 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Atsuko Tsuchida Japan 6 593 474 308 125 93 7 988
Maria Kaaman Sweden 11 412 0.7× 544 1.1× 364 1.2× 73 0.6× 107 1.2× 11 917
Tatyana Chanturiya United States 10 505 0.9× 761 1.6× 304 1.0× 66 0.5× 124 1.3× 10 1.1k
Jodel Giraud United States 6 776 1.3× 456 1.0× 346 1.1× 167 1.3× 52 0.6× 6 1.3k
Teresa Teruel Spain 19 822 1.4× 732 1.5× 432 1.4× 181 1.4× 83 0.9× 26 1.4k
Mackenzie Pearson United States 12 381 0.6× 316 0.7× 313 1.0× 133 1.1× 91 1.0× 14 809
Krishna K. Narra United States 7 703 1.2× 465 1.0× 301 1.0× 130 1.0× 93 1.0× 8 1.2k
David J. Pedersen Australia 12 277 0.5× 379 0.8× 245 0.8× 116 0.9× 66 0.7× 14 794
Leon G. Straub United States 13 316 0.5× 538 1.1× 336 1.1× 104 0.8× 128 1.4× 22 919
Angela M. Siesky United States 8 816 1.4× 531 1.1× 326 1.1× 177 1.4× 86 0.9× 8 1.3k
Rebecca Quinn United States 5 781 1.3× 549 1.2× 207 0.7× 144 1.2× 63 0.7× 8 1.2k

Countries citing papers authored by Atsuko Tsuchida

Since Specialization
Citations

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

Fields of papers citing papers by Atsuko Tsuchida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Atsuko Tsuchida

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

All Works

7 of 7 papers shown
1.
Tsuchida, Atsuko, et al.. (2008). Phenotypic characterization of the Komeda miniature rat Ishikawa, an animal model of dwarfism caused by a mutation in Prkg2.. PubMed. 58(6). 560–7. 9 indexed citations
2.
Kawazu, Shoji, Atsuko Tsuchida, Eiji Ohmura, et al.. (2004). Sex difference and possible relationship to microvascular complications of serum prorenin levels in type 2 diabetic patients, measured by a novel antibody-activating direct enzyme kinetic assay. Journal of Diabetes and its Complications. 18(5). 275–281. 11 indexed citations
3.
Chikuda, Hirotaka, Fumitaka Kugimiya, Kazuto Hoshi, et al.. (2004). Cyclic GMP-dependent protein kinase II is a molecular switch from proliferation to hypertrophic differentiation of chondrocytes. Genes & Development. 18(19). 2418–2429. 106 indexed citations
4.
Yamauchi, Toshimasa, Yuichi Oike, Junji Kamon, et al.. (2002). Increased insulin sensitivity despite lipodystrophy in Crebbp heterozygous mice. Nature Genetics. 30(2). 221–226. 135 indexed citations
5.
Yamauchi, Toshimasa, Junji Kamon, Hironori Waki, et al.. (2001). The Mechanisms by Which Both Heterozygous Peroxisome Proliferator-activated Receptor γ (PPARγ) Deficiency and PPARγ Agonist Improve Insulin Resistance. Journal of Biological Chemistry. 276(44). 41245–41254. 550 indexed citations breakdown →
6.
Miki, Hiroshi, Toshimasa Yamauchi, Ryo Suzuki, et al.. (2001). Essential Role of Insulin Receptor Substrate 1 (IRS-1) and IRS-2 in Adipocyte Differentiation. Molecular and Cellular Biology. 21(7). 2521–2532. 177 indexed citations
7.
Tsuchida, Atsuko, et al.. (2000). Usefulness of SEPARAX-SP membrane for supporting medium in cellulose acetate membrane isoelectric focusing.. SEIBUTSU BUTSURI KAGAKU. 44(1). 39–42.

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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