Kensuke Noma

7.9k citations
97 papers · 6.0k indexed · 1 hit paper · h-index 37

Impact in

Papers in

Kensuke Noma

96 papers receiving 5.9k citations

Hit Papers

Endothelial Function and Oxidative Stress in Cardiovascular Diseases 2009 · 597 citations
5972009202620142020100200300400500

Peers

Kensuke Noma
Comparison fields: 5 of 135
  • Cardiology and Cardiovascular Medicine 2.1k
  • Complementary and alternative medicine 447
  • Endocrinology, Diabetes and Metabolism 857
  • Physiology 1.1k
  • Biochemistry 189
Replace Sven Waßmann with:
Sven Waßmann Germany
Tetsuya Oshima Japan
Xinliang Ma United States
Henning Morawietz Germany
Georg Kojda Germany
Lisa A. Lesniewski United States
Rei Shibata Japan
Michael N. Sack United States
Chikara Goto Japan
Xian Wu Cheng Japan
Kensuke Noma relative to Sven Waßmann Germany Sven Waßmann's profile →
Citations per field
00.5×1.5×2.4×
Sven Waßmann · 1×
Citations per year

Countries citing papers authored by Kensuke Noma

Since Specialization
Citations

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

Fields of papers citing papers by Kensuke Noma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20201
2 201914
3 20192
4 201918
5 201915
6 201833
7 201811
8 201744
9 20169
10 20168
11 201636
12 20151
13 20154
14 201312
15 201286
16 20120
17 201248
18 201113
19 201043
20 201029

About Kensuke Noma

Kensuke Noma is a scholar working on Cardiology and Cardiovascular Medicine, Physiology, Endocrinology, Diabetes and Metabolism, Internal Medicine and Surgery, having authored 97 papers that have together received 6.0k indexed citations. Recurring topics across this work include Cardiovascular Health and Disease Prevention (38 papers), Blood Pressure and Hypertension Studies (29 papers), Nitric Oxide and Endothelin Effects (21 papers), Protein Kinase Regulation and GTPase Signaling (17 papers), Peripheral Artery Disease Management (13 papers), Heart Rate Variability and Autonomic Control (10 papers), Hormonal Regulation and Hypertension (8 papers) and Angiogenesis and VEGF in Cancer (6 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (2.1k citations), Complementary and alternative medicine (447 citations), Endocrinology, Diabetes and Metabolism (857 citations), Physiology (1.1k citations) and Biochemistry (189 citations). Kensuke Noma has collaborated with scholars based in Japan, United States and Norway. Frequent co-authors include Yukihito Higashi, James K. Liao, Yasuki Kihara, Masao Yoshizumi, Kazuaki Chayama, Chikara Goto, Naotsugu Oyama, Tatsuya Maruhashi, Keigo Nakagawa and Minoru Seto. Their work appears in journals such as Hypertension, International Journal of Cardiology, Circulation, Hypertension Research and Arteriosclerosis Thrombosis and Vascular Biology.

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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