Tsugiyasu Kanda

6.5k citations
208 papers · 4.9k · h-index 37

Impact in

Papers in

Tsugiyasu Kanda

199 papers receiving 4.8k citations

Peers

Tsugiyasu Kanda
Comparison fields: 5 of 131
  • Cardiology and Cardiovascular Medicine 1.2k
  • Endocrinology, Diabetes and Metabolism 439
  • Physiology 620
  • Complementary and alternative medicine 191
  • Molecular Biology 1.3k
Replace Masanobu Kawakami with:
Masanobu Kawakami Japan
Á Urbano-Márquez Spain
Jaye Chin‐Dusting Australia
Concepción Peiró Spain
Xing Li Wang United States
Takeo Kato Japan
Christina Piperi Greece
Luigi Laviola Italy
Tomio Arai Japan
Tadashi Yamakawa Japan
Tsugiyasu Kanda relative to Masanobu Kawakami Japan Masanobu Kawakami's profile →
Citations per field
00.5×1.5×2.2×
Masanobu Kawakami · 1×
Citations per year

Countries citing papers authored by Tsugiyasu Kanda

Since Specialization
Citations

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

Fields of papers citing papers by Tsugiyasu Kanda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 208 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004218
2 2000211
3 2001201
4 2006190
5 1999187
6 2002164
7 2000158
8 1997103
9 200094
10 200089
11 200488
12 200883
13 200283
14 199479
15 199978
16 200670
17 200763
18 200862
19 200962
20 200658

About Tsugiyasu Kanda

Tsugiyasu Kanda is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Epidemiology, Endocrinology, Diabetes and Metabolism and Physiology, having authored 208 papers that have together received 4.9k indexed citations. Recurring topics across this work include Viral Infections and Immunology Research (22 papers), Adipokines, Inflammation, and Metabolic Diseases (19 papers), Cardiac tumors and thrombi (12 papers), Menopause: Health Impacts and Treatments (11 papers), Regulation of Appetite and Obesity (11 papers), Adipose Tissue and Metabolism (10 papers), Cardiac Fibrosis and Remodeling (10 papers) and Cardiovascular Function and Risk Factors (8 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.2k citations), Endocrinology, Diabetes and Metabolism (439 citations), Physiology (620 citations), Complementary and alternative medicine (191 citations) and Molecular Biology (1.3k citations). Tsugiyasu Kanda has collaborated with scholars based in Japan, China and United States. Frequent co-authors include Takashi Takahashi, Hiroyuki Sumino, Isao Kobayashi, Masahiko Kurabayashi, Ryozo Nagai, Jun-ichi Yamakawa, Junji Moriya, Shûichi Ichikawa, Takao Kimura and Atsushi Kuwabara. Their work appears in journals such as Life Sciences, Hypertension Research, Evidence-based Complementary and Alternative Medicine, Biochemical Journal and CHEST Journal.

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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