Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Effects of eicosapentaenoic acid on major coronary events in hypercholesterolaemic patients (JELIS): a randomised open-label, blinded endpoint analysis
20071.8k citationsMitsuhiro Yokoyama, Hideki Origasa et al.profile →
Nucleotide sequence of cloned cDNA for bovine corticotropin-β-lipotropin precursor
An endothelial receptor for oxidized low-density lipoprotein
19971.1k citationsTatsuya Sawamura, Noriaki Kume et al.profile →
Feedback Regulation of 3-Hydroxy-3-Methylglutaryl Coenzyme A Reductase in Livers of Mice Treated with Mevinolin, a Competitive Inhibitor of the Reductase
1980287 citationsToru Kita et al.Journal of Clinical Investigationprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Toru Kita'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 Toru Kita with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Toru Kita more than expected).
This network shows the impact of papers produced by Toru Kita. 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 Toru Kita. The network helps show where Toru Kita may publish in the future.
Co-authorship network of co-authors of Toru Kita
This figure shows the co-authorship network connecting the top 25 collaborators of Toru Kita.
A scholar is included among the top collaborators of Toru Kita 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 Toru Kita. Toru Kita 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.
Tani, Tomoko, Toshiko Konda, Toru Kita, & Yutaka Furukawa. (2013). Abstract 13449: Mitral Annular Disjunction in Patients With Severe Mitral Regurgitation. Circulation. 128.1 indexed citations
Haruna, Yoshisumi, Hirokazu Mitsuoka, Neiko Ozasa, et al.. (2004). OJ-272 Quantitative Analysis of Regional Ventricular Motion by Real-Time 3D Echocardiography : Comparative Study to Semi-Quantifications by Conventional 2D-Echo Measurements and LVG(Echo/Doppler 10 (I) : OJ32)(Oral Presentation (Japanese)). Japanese Circulation Journal-english Edition. 68. 296.
14.
Kihara, Yasuki, Yoshitaka Iwanaga, Takeshi Yoneda, et al.. (2003). Extracellular Collagen Matrix Determines Left Ventricular Shape, Function, and Stiffness during the Process of Ventricular Remodeling. Japanese Circulation Journal-english Edition. 67. 46.1 indexed citations
15.
Hayashida, Kazutaka, Noriaki Kume, Manabu Minami, et al.. (2003). Elevated Serum Levels of Soluble Lectin-Like Oxidized LDL Receptor-1 (soluble LOX-1) in Acute Coronary Syndrome-Novel Marker for Plaque Rupture. Japanese Circulation Journal-english Edition. 67. 532.2 indexed citations
16.
Hayashida, Kazutaka, Noriaki Kume, Manabu Minami, & Toru Kita. (2002). Lectin-like oxidized low-density lipoprotein receptor-1 (LOX-1) supports adhesion of leukocytes under both static and flow conditions. Japanese Circulation Journal-english Edition. 66. 432.2 indexed citations
Moriwaki, Hideaki, Noriaki Kume, Tatsuya Sawamura, et al.. (1997). Ligand specificity of LOX-1, a novel receptor for oxidized low density lipoprotein. Atherosclerosis. 225.7 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.