S Konno

1.8k citations
46 papers · 1.3k · h-index 18

Impact in

Papers in

S Konno

41 papers receiving 1.1k citations

Peers

S Konno
Comparison fields: 5 of 74
  • Cardiology and Cardiovascular Medicine 755
  • Pulmonary and Respiratory Medicine 544
  • Epidemiology 526
  • Surgery 443
  • Medical Terminology 2
Replace Robert H. Franch with:
Robert H. Franch United States
S Y Ho United Kingdom
K A Hallidie-Smith United Kingdom
Tal Geva United States
R. Rienmüller Germany
R H Swanton United Kingdom
Ludger Sieverding Germany
Fraser Golding Canada
Lev M Sweden
Taylor Chung United States
S Konno relative to Robert H. Franch United States Robert H. Franch's profile →
Citations per field
00.5×
Robert H. Franch · 1×
Citations per year

Countries citing papers authored by S Konno

Since Specialization
Citations

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

Fields of papers citing papers by S Konno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside S Konno, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with S Konno Line = papers co-authored together S Konno links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1962193
2 1962189
3 1975152
4 1973100
5 196384
6 196280
7 196852
8 197644
9 197343
10 197141
11 196938
12 197037
13 197128
14 196524
15 196322
16 197119
17
Interrelation of left ventricular function and myocardial ultrastructure as assessed by endomyocardial biopsy: comparative study of hypertrophic and congestive cardiomyopathies.
197818
18 196317
19 199314
20 197314

About S Konno

S Konno is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Epidemiology, Surgery and Rheumatology, having authored 46 papers that have together received 1.3k indexed citations. Recurring topics across this work include Congenital Heart Disease Studies (17 papers), Cardiac Structural Anomalies and Repair (12 papers), Coronary Artery Anomalies (10 papers), Cardiac Valve Diseases and Treatments (8 papers), Aortic Disease and Treatment Approaches (6 papers), Cardiomyopathy and Myosin Studies (5 papers), Viral Infections and Immunology Research (5 papers) and Pulmonary Hypertension Research and Treatments (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (755 citations), Pulmonary and Respiratory Medicine (544 citations), Epidemiology (526 citations), Surgery (443 citations) and Medical Terminology (2 citations). S Konno has collaborated with scholars based in Japan, Pakistan and United States. Frequent co-authors include Shigeru Sakakibara, Morie Sekiguchi, Katsuhiko Tatsuno, Hisae Hayashi, S Hosoda, Masahiro Endo, Masahiko Ando, Kenji Okamura, Masayoshi Yokoyama and Yasuharu Imai. Their work appears in journals such as American Heart Journal, Circulation, Journal of Thoracic and Cardiovascular Surgery, The Annals of Thoracic Surgery and Progress of Theoretical Physics.

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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