Arihiro Sumida

876 citations
13 papers · 671 indexed · h-index 8

Arihiro Sumida

13 papers receiving 657 citations

Peers

Arihiro Sumida
Comparison fields: 5 of 73
  • Cardiology and Cardiovascular Medicine 285
  • Cell Biology 111
  • Immunology 112
  • Cancer Research 70
  • Immunology and Allergy 21
Replace Xiangquan Kong with:
Xiangquan Kong China
Estefanía Tarazón Spain
Valdeci da Cunha United States
Ke‐Qiong Deng China
Nerea Hermida Spain
Norman Catibog United Kingdom
Katsuhiko Takenaka Japan
Harry A.J. Struijker Boudier Netherlands
Ruizheng Shi China
Jingti Deng China
Arihiro Sumida relative to Xiangquan Kong China Xiangquan Kong's profile →
Citations per field
00.5×11×
Xiangquan Kong · 1×
Citations per year

Countries citing papers authored by Arihiro Sumida

Since Specialization
Citations

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

Fields of papers citing papers by Arihiro Sumida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

13 of 13 papers shown
#Work
1 20236
2 201854
3 201510
4 2015170
5
Abstract 17705: VSMC-specific Genetic Deletion of NoxA1, a Regulatory Subunit of Nox1 NADPH Oxidase, Attenuates Vascular Inflammation and Atherosclerosis in ApoE-/- Mice
20141
6 2014234
7 20122
8
Anomalous right coronary artery originating from the left sinus of Valsalva in a Yucatan minipig.
20123
9 201119
10 200942
11 200846
12 20082
13 200682

About Arihiro Sumida

Arihiro Sumida is a scholar working on Immunology and Allergy, Cardiology and Cardiovascular Medicine and Cell Biology, having authored 13 papers that have together received 671 indexed citations. Recurring topics across this work include Proteoglycans and glycosaminoglycans research (4 papers), Cardiac Fibrosis and Remodeling (3 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers), Atherosclerosis and Cardiovascular Diseases (3 papers), Nitric Oxide and Endothelin Effects (2 papers), Protease and Inhibitor Mechanisms (2 papers), Cell Adhesion Molecules Research (2 papers) and Cardiovascular Function and Risk Factors (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (285 citations), Cell Biology (111 citations) and Immunology (112 citations). Arihiro Sumida has collaborated with scholars based in Japan, United States and Netherlands. Frequent co-authors include Marschall S. Runge, Chaitanya Madamanchi, Aleksandr E. Vendrov, Nageswara R. Madamanchi, Jacques Robidoux, Alberto Smith, Kimberly C. Vendrov, Itsuo Kodama, Mitsuru Horiba and Kenji Kadomatsu. Their work appears in journals such as Circulation, International Journal of Cardiology, Radiology Cardiothoracic Imaging, Cardiovascular Research and Journal of the American College of Cardiology.

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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