Kazumasa Harada

3.0k citations
126 papers · 2.0k indexed · h-index 20

Kazumasa Harada

114 papers receiving 1.9k citations

Peers

Kazumasa Harada
Comparison fields: 5 of 137
  • Cardiology and Cardiovascular Medicine 593
  • Geriatrics and Gerontology 94
  • Surgery 513
  • Molecular Biology 755
  • Cancer Research 146
Replace Ninian N. Lang with:
Ninian N. Lang United Kingdom
Yunlong Xia China
Yangxin Chen China
Jingfeng Wang China
Feng Ding China
Ravinay Bhindi Australia
Erik Fung Hong Kong
Kenjiro Kimura Japan
Tomonori Itoh Japan
Gabriela M. Kuster Switzerland
Kazumasa Harada relative to Ninian N. Lang United Kingdom Ninian N. Lang's profile →
Citations per field
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Ninian N. Lang · 1×
Citations per year

Countries citing papers authored by Kazumasa Harada

Since Specialization
Citations

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

Fields of papers citing papers by Kazumasa Harada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 20240
4 20242
5 20230
6 20233
7 20230
8 20235
9 20236
10 20222
11 20217
12 20211
13 20201
14 202032
15 20181
16 201143
17
FRS-111 The Correlation between Serum Lipid Levels and Atherosclerotic Degrees is Different in Each Arterial System(Clinical Aspects of Atherosclerosis (H) FRS23,Featured Research Session (English),The 70th Anniversary Annual Scientific Meeting of the Japanese Circulation Society)
20063
18 199516
19 1994234
20 19912

About Kazumasa Harada

Kazumasa Harada is a scholar working on Geriatrics and Gerontology, Cardiology and Cardiovascular Medicine and Emergency Medicine, having authored 126 papers that have together received 2.0k indexed citations. Recurring topics across this work include Heart Failure Treatment and Management (19 papers), Cardiovascular Function and Risk Factors (19 papers), Frailty in Older Adults (16 papers), Blood Pressure and Hypertension Studies (15 papers), Nutrition and Health in Aging (12 papers), Metal complexes synthesis and properties (11 papers), Cardiovascular Health and Disease Prevention (9 papers) and Cardiac Imaging and Diagnostics (8 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (593 citations), Geriatrics and Gerontology (94 citations) and Surgery (513 citations). Kazumasa Harada has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Frank W. Sellke, Michael Simons, John J. López, Justin D. Pearlman, M. Friedman, Elazer R. Edelman, Pottumarthi V. Prasad, Mark G. Hibberd, Menahem Friedman and Michael L. Chuang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Nature Medicine.

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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