S Sasayama

1.1k total citations · 1 hit paper
25 papers, 913 citations indexed

About

S Sasayama is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, S Sasayama has authored 25 papers receiving a total of 913 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cardiology and Cardiovascular Medicine, 6 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Surgery. Recurrent topics in S Sasayama's work include Cardiovascular Function and Risk Factors (7 papers), Cardiac Imaging and Diagnostics (5 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). S Sasayama is often cited by papers focused on Cardiovascular Function and Risk Factors (7 papers), Cardiac Imaging and Diagnostics (5 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). S Sasayama collaborates with scholars based in Japan. S Sasayama's co-authors include T. Kawasaki, Takasuke Asakawa, Toshiro Hirai, Hidetoshi Inoko, Shuntaro Nagai, Shin‐ichiro Morimoto, Masaki Hara, Akira Matsumori, Taeko K. Naruse and Eri Muso and has published in prestigious journals such as Circulation, Cardiovascular Research and American Journal of Physiology-Heart and Circulatory Physiology.

In The Last Decade

S Sasayama

25 papers receiving 885 citations

Hit Papers

Non-invasive assessment o... 1987 2026 2000 2013 1987 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
S Sasayama Japan 10 586 334 153 144 101 25 913
Maria Serena De Franceschi Italy 14 649 1.1× 479 1.4× 285 1.9× 103 0.7× 157 1.6× 29 1.2k
P. Karayannacos Greece 17 445 0.8× 319 1.0× 365 2.4× 90 0.6× 87 0.9× 37 1.1k
A Roth Israel 12 349 0.6× 148 0.4× 110 0.7× 125 0.9× 118 1.2× 25 726
Maria Fabrizia Giannoni Italy 16 359 0.6× 616 1.8× 343 2.2× 60 0.4× 107 1.1× 48 1.0k
Daniel D. Borgeson United States 18 1.0k 1.7× 301 0.9× 274 1.8× 119 0.8× 123 1.2× 30 1.3k
Jan Rogowski Poland 14 403 0.7× 132 0.4× 247 1.6× 63 0.4× 92 0.9× 82 713
C. Aggeli Greece 13 691 1.2× 194 0.6× 148 1.0× 78 0.5× 177 1.8× 20 1.0k
Fehmi Mercanoğlu Türkiye 19 455 0.8× 157 0.5× 121 0.8× 67 0.5× 64 0.6× 36 902
Toshio Yaginuma Japan 14 595 1.0× 177 0.5× 259 1.7× 54 0.4× 154 1.5× 40 908
D. N. Ku United States 3 525 0.9× 397 1.2× 473 3.1× 86 0.6× 153 1.5× 3 1.1k

Countries citing papers authored by S Sasayama

Since Specialization
Citations

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).

Fields of papers citing papers by S Sasayama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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
2.
Nogaki, Fumiaki, Eri Muso, Masatomo Yashiro, et al.. (2001). Direct effects of simvastatin on proliferation and matrix accumulation in cultured murine mesangial cells. Clinical and Experimental Nephrology. 5(2). 85–89. 4 indexed citations
3.
Naruse, Taeko K., Masao Ôta, Yohei Katsuyama, et al.. (2000). HLA‐DQB1*0601 is primarily associated with the susceptibility to cardiac sarcoidosis. Tissue Antigens. 56(1). 52–57. 62 indexed citations
4.
Matsumori, Akira & S Sasayama. (2000). [Idiopathic cardiomyopathy--pathogenesis].. PubMed. 58(1). 12–7. 1 indexed citations
5.
Sasayama, S. (2000). Chemokines and cardiovascular diseases. Cardiovascular Research. 45(2). 267–269. 54 indexed citations
6.
Naruse, Taeko K., Akira Matsumori, Masaki Hara, et al.. (1999). Genetic polymorphisms at the tumour necrosis factor loci (TNFA and TNFB) in cardiac sarcoidosis. Tissue Antigens. 54(2). 191–193. 66 indexed citations
7.
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
12.
Hiraoka, Yuji, et al.. (1993). Role of oxygen derived free radicals in the pathogenesis of coxsackievirus B3 myocarditis in mice. Cardiovascular Research. 27(6). 957–961. 40 indexed citations
13.
Tamaki, Nagara, Yoshiharu Yonekura, Yasuhiro Magata, et al.. (1990). [Fatty acid metabolism using C-11 palmitate: (1). Resting study].. PubMed. 27(4). 313–21. 1 indexed citations
14.
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
16.
Nakamura, Masanori, et al.. (1982). Regional dysfunction of the interventricular septum during acute coronary artery occlusion. Cardiovascular Research. 16(3). 144–150. 7 indexed citations
17.
Sasayama, S, Genta Osakada, M Takahashi, Takamitsu Shimada, & C Kawai. (1980). Modification of regional function of ischaemic myocardium by the alteration of arterial pressure in dogs. Cardiovascular Research. 14(2). 93–102. 21 indexed citations
18.
Ricci, Donald R., et al.. (1978). Evaluation of chamber and myocardial compliance in pressure overload hypertrophy.. PubMed. 7 Suppl. 195–211. 10 indexed citations
19.
Hirakawa, Senri, S Sasayama, Bertrand Crozatier, et al.. (1977). In situ measurement of papillary muscle dynamics in the dog left ventricle. American Journal of Physiology-Heart and Circulatory Physiology. 233(3). H384–H391. 16 indexed citations
20.
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.

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