H. Suga

454 total citations
11 papers, 331 citations indexed

About

H. Suga is a scholar working on Cardiology and Cardiovascular Medicine, Pathology and Forensic Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, H. Suga has authored 11 papers receiving a total of 331 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cardiology and Cardiovascular Medicine, 2 papers in Pathology and Forensic Medicine and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in H. Suga's work include Cardiovascular Function and Risk Factors (8 papers), Cardiomyopathy and Myosin Studies (5 papers) and Cardiac electrophysiology and arrhythmias (3 papers). H. Suga is often cited by papers focused on Cardiovascular Function and Risk Factors (8 papers), Cardiomyopathy and Myosin Studies (5 papers) and Cardiac electrophysiology and arrhythmias (3 papers). H. Suga collaborates with scholars based in Japan. H. Suga's co-authors include K Sagawa, A. Kitabatake, Shiho Futaki, Yoshio Yasumura, Takashi Nozawa, I. Ninomiya, R Hisano, Shintaro Hirata, Nobuaki Tanaka and Yukari Goto and has published in prestigious journals such as Circulation Research, American Journal of Physiology-Heart and Circulatory Physiology and Advances in experimental medicine and biology.

In The Last Decade

H. Suga

11 papers receiving 307 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
H. Suga Japan 7 269 99 86 45 28 11 331
Howard N. Allen United States 7 320 1.2× 36 0.4× 157 1.8× 40 0.9× 19 0.7× 14 376
P. K. Blanksma Netherlands 13 254 0.9× 76 0.8× 93 1.1× 203 4.5× 17 0.6× 29 412
Mikihisa Fujii Japan 10 251 0.9× 37 0.4× 159 1.8× 63 1.4× 17 0.6× 23 353
Masashi Kambayashi Japan 12 461 1.7× 51 0.5× 86 1.0× 102 2.3× 15 0.5× 16 506
Wechsler As United States 9 217 0.8× 46 0.5× 129 1.5× 57 1.3× 63 2.3× 27 323
Bolling J. Feild United States 6 370 1.4× 38 0.4× 144 1.7× 199 4.4× 16 0.6× 9 422
G Perini Italy 5 575 2.1× 27 0.3× 83 1.0× 48 1.1× 10 0.4× 8 616
Walter D. Gundel United States 9 308 1.1× 39 0.4× 119 1.4× 170 3.8× 16 0.6× 12 353
Judith E. Orie United States 6 350 1.3× 31 0.3× 56 0.7× 76 1.7× 5 0.2× 14 387
Mohan Rao United States 12 294 1.1× 72 0.7× 115 1.3× 29 0.6× 33 1.2× 35 381

Countries citing papers authored by H. Suga

Since Specialization
Citations

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

Fields of papers citing papers by H. Suga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of H. Suga

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

All Works

11 of 11 papers shown
1.
2.
Suga, H., Nobuaki Tanaka, Yuichi Ohgoshi, et al.. (1991). Hyperthyroid dog left ventricle has the same oxygen consumption versus pressure-volume area (PVA) relation as euthyroid dog. Heart and Vessels. 6(2). 71–83. 12 indexed citations
3.
Yasumura, Yoshio, et al.. (1989). Minor preload dependence of O2 consumption of unloaded contraction in dog heart. American Journal of Physiology-Heart and Circulatory Physiology. 256(5). H1289–H1294. 12 indexed citations
4.
Suga, H., et al.. (1988). Ventricular Systolic Pressure-Volume Area (PVA) and Contractile State (Emax) Determine Myocardial Oxygen Demand. Advances in experimental medicine and biology. 222. 421–430. 3 indexed citations
5.
Nozawa, Takashi, Yoshio Yasumura, Shiho Futaki, et al.. (1988). Efficiencies from consumed O2 and pressure-volume area to work of in situ dog heart.. The Japanese Journal of Physiology. 38(5). 713–728. 5 indexed citations
6.
Nozawa, Takashi, Yoshio Yasumura, Shiho Futaki, Nobuaki Tanaka, & H. Suga. (1988). No significant increase in O2 consumption of KCl-arrested dog heart with filling and dobutamine. American Journal of Physiology-Heart and Circulatory Physiology. 255(4). H807–H812. 27 indexed citations
7.
Suga, H., Yoshio Yasumura, Takashi Nozawa, et al.. (1987). Prospective prediction of O2 consumption from pressure-volume area in dog hearts. American Journal of Physiology-Heart and Circulatory Physiology. 252(6). H1258–H1264. 34 indexed citations
8.
Suga, H., et al.. (1982). Mechanism of higher oxygen consumption rate: pressure-loaded vs. volume-loaded heart. American Journal of Physiology-Heart and Circulatory Physiology. 242(6). H942–H948. 39 indexed citations
9.
10.
Suga, H., A. Kitabatake, & K Sagawa. (1979). End-systolic pressure determines stroke volume from fixed end-diastolic volume in the isolated canine left ventricle under a constant contractile state.. Circulation Research. 44(2). 238–249. 107 indexed citations
11.
Suga, H., et al.. (1979). Left ventricular systolic pressure-volume area correlates with oxygen consumption. American Journal of Physiology-Heart and Circulatory Physiology. 237(5). H566–H569. 81 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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