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.
Non-invasive assessment of the age related changes in stiffness of major branches of the human arteries
1987538 citationsT. Kawasaki, S Sasayama et al.Cardiovascular Researchprofile →
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 S Sasayama'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 S Sasayama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S Sasayama more than expected).
This network shows the impact of papers produced by S Sasayama. 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 S Sasayama. The network helps show where S Sasayama may publish in the future.
Co-authorship network of co-authors of S Sasayama
This figure shows the co-authorship network connecting the top 25 collaborators of S Sasayama.
A scholar is included among the top collaborators of S Sasayama 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 S Sasayama. S Sasayama 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.
Kawaguchi, Akira T., et al.. (2001). Partial left ventriculectomy. The Japanese Journal of Thoracic and Cardiovascular Surgery. 49(3). 145–152.7 indexed citations
Nohara, Ryuji, Toshiro Hirai, K Okuda, et al.. (1998). Effect of metabolic substrate on BMIPP metabolism in canine myocardium.. PubMed. 39(7). 1132–7.9 indexed citations
8.
Ono, S, K Okuda, Masahiro Tanaka, et al.. (1994). [Comparative study of 201Tl-scintigraphic image and endomyocardial biopsy findings in patients with dilated cardiomyopathy].. PubMed. 31(3). 231–40.1 indexed citations
9.
Muso, Eri, M. Yashiro, Yumi Ito, Hironori Yoshida, & S Sasayama. (1994). Correlations of C1q- and C3d-bearing circulating immune complexes with immunopathological disease activity in lupus nephritis patients.. PubMed. 36(4). 345–54.4 indexed citations
10.
Takahashi, N., Nagara Tamaki, Masahide Kawamoto, et al.. (1994). [Noninvasive and simple method for the estimation of myocardial metabolic rate of glucose by PET and 18F-FDG].. PubMed. 31(8). 985–90.1 indexed citations
11.
Matsui, Shigeo, Akira Matsumori, & S Sasayama. (1993). [Metabolism of failing myocardium].. PubMed. 51(5). 1198–202.1 indexed citations
Kawasaki, T., et al.. (1987). Non-invasive assessment of the age related changes in stiffness of major branches of the human arteries. Cardiovascular Research. 21(9). 678–687.538 indexed citations breakdown →
15.
Asada, N., Shigeru Eiho, M. Kuwahara, et al.. (1984). [Three-dimensional reconstruction of the left ventricle from two-dimensional echocardiograms].. PubMed. 22(1). 19–24.2 indexed citations
Ricci, Donald R., et al.. (1978). Evaluation of chamber and myocardial compliance in pressure overload hypertrophy.. PubMed. 7 Suppl. 195–211.10 indexed citations
Sasayama, S, Shinichiro Kubo, Makoto Watanabe, & Reizo Kusukawa. (1971). A Case of "Disease of the Intercalated Disc" Demonstrated in Obstructive Cardiomyopathy. Circulation. 35(6). 639–652.1 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.