Seiji Itoh

878 citations
42 papers · 658 · h-index 16

Impact in

Papers in

Seiji Itoh

38 papers receiving 640 citations

Peers

Seiji Itoh
Comparison fields: 5 of 93
  • Cardiology and Cardiovascular Medicine 224
  • Genetics 77
  • Endocrinology, Diabetes and Metabolism 118
  • Endocrine and Autonomic Systems 32
  • Physiology 118
Replace Jiandong Zhang with:
Jiandong Zhang China
K. J. Tötterman Finland
Sohel Zaedi Japan
R Mahler United Kingdom
Simone Theilade Denmark
Yuko Tominaga Japan
Regina Maria Pereira Brazil
Henrik M. Reims Norway
Fone‐Ching Hsiao Taiwan
Rodrigo A. Fraga-Silva Brazil
Seiji Itoh relative to Jiandong Zhang China Jiandong Zhang's profile →
Citations per field
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Citations per year

Countries citing papers authored by Seiji Itoh

Since Specialization
Citations

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

Fields of papers citing papers by Seiji Itoh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200676
2 200069
3 200258
4 200252
5 200245
6 200632
7 199929
8 200327
9 200423
10 200623
11 201122
12 199622
13 200118
14 199816
15 199716
16 200615
17 200115
18
First evidence for transgenerational vascular programming in the rat protein restriction model
200214
19 200214
20 19979

About Seiji Itoh

Seiji Itoh is a scholar working on Surgery, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Molecular Biology and Pharmacology, having authored 42 papers that have together received 658 indexed citations. Recurring topics across this work include Renin-Angiotensin System Studies (6 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (4 papers), Cardiac electrophysiology and arrhythmias (4 papers), Heart Failure Treatment and Management (4 papers), Apelin-related biomedical research (3 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers), Gastric Cancer Management and Outcomes (3 papers) and Coronary Interventions and Diagnostics (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (224 citations), Genetics (77 citations), Endocrinology, Diabetes and Metabolism (118 citations), Endocrine and Autonomic Systems (32 citations) and Physiology (118 citations). Seiji Itoh has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Takashi Katagiri, Shuji Mukae, Kazuaki Nishio, Shuichi Aoki, Noburu Konno, Ryuji Sato, Hiroaki Ueda, Tomoyasu Fukui, Masayuki Sakurai and Kazuo Tsubota. Their work appears in journals such as International Journal of Cardiology, Journal of Molecular and Cellular Cardiology, The American Journal of Surgery, Applied Spectroscopy and The Journal of Physiology.

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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