Nobuyuki Masaki

1.0k citations
60 papers · 649 indexed · h-index 13

Nobuyuki Masaki

55 papers receiving 628 citations

Peers

Nobuyuki Masaki
Comparison fields: 5 of 79
  • Hepatology 109
  • Cardiology and Cardiovascular Medicine 273
  • Epidemiology 164
  • Internal Medicine 14
  • Endocrinology, Diabetes and Metabolism 58
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Ana Pastor Spain
Urszula Zurawska Canada
Weifeng Shen China
Takeshige Mori Japan
Jae Kyeong Byun South Korea
Vincenzo Paoletti Italy
Dinesh Kadariya United States
Assaf Issachar Israel
Lung‐Chih Li Taiwan
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Citations per year

Countries citing papers authored by Nobuyuki Masaki

Since Specialization
Citations

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

Fields of papers citing papers by Nobuyuki Masaki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Nobuyuki Masaki, 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 Nobuyuki Masaki Line = papers co-authored together Nobuyuki Masaki links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20242
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10 20228
11 20212
12 20214
13 20192
14 201627
15 20148
16 20092
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18 20084
19
PJ-005 Longitudinal Inhomogeneity of Coronary Distensibility in Acute Coronary Syndrome Related Plaques(Acute coronary syndrome, basic/clinical-6, The 71st Annual Scientific Meeting of the Japanese Circulation Society)
20071
20
T-Wave Complexity of Principal Component Analysis Ratio Can Reflect Exercise-Induced Ischemia : A Possible New Electrocardiographic Marker for Ischemia?
20031

About Nobuyuki Masaki

Nobuyuki Masaki is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging, Hepatology, Biological Psychiatry and Physiology, having authored 60 papers that have together received 649 indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (14 papers), Cardiovascular Function and Risk Factors (7 papers), Cardiac electrophysiology and arrhythmias (6 papers), Cardiac Valve Diseases and Treatments (6 papers), Cardiovascular Health and Disease Prevention (6 papers), Liver Disease Diagnosis and Treatment (5 papers), Nitric Oxide and Endothelin Effects (4 papers) and Atrial Fibrillation Management and Outcomes (4 papers). The work is most often cited by research in Hepatology (109 citations), Cardiology and Cardiovascular Medicine (273 citations), Epidemiology (164 citations), Internal Medicine (14 citations) and Endocrinology, Diabetes and Metabolism (58 citations). Nobuyuki Masaki has collaborated with scholars based in Japan, United States and Vietnam. Frequent co-authors include Takeshi Adachi, Bonpei Takase, Naomi M. Hamburg, Takumi Toya, Bihua Feng, Rosa Bretón‐Romero, Jessica L. Fetterman, Robert M. Weisbrod, Yuji Nagatomo and Hirotaka Yada. Their work appears in journals such as Journal of Cardiology, Journal of Personalized Medicine, Circulation Journal, International Journal of Cardiology and Journal of the American Heart Association.

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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2026