I. Imanaga

703 citations
32 papers · 594 · h-index 17

Impact in

Papers in

I. Imanaga

30 papers receiving 585 citations

Peers

I. Imanaga
Comparison fields: 5 of 66
  • Sensory Systems 69
  • Cellular and Molecular Neuroscience 188
  • Cardiology and Cardiovascular Medicine 205
  • Endocrine and Autonomic Systems 54
  • Molecular Biology 432
Replace Gábor L. Petheö with:
Gábor L. Petheö Hungary
S. Arnaudeau France
A S Segal United States
Q. Wang United Kingdom
Sechiko Suga Japan
Spyros Zissimopoulos United Kingdom
Lyne Bilodeau Canada
R. T. McCarthy United States
J. J. Singer United States
Adán Dagnino-Acosta Mexico
I. Imanaga relative to Gábor L. Petheö Hungary Gábor L. Petheö's profile →
Citations per field
00.5×2.6×
Gábor L. Petheö · 1×
Citations per year

Countries citing papers authored by I. Imanaga

Since Specialization
Citations

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

Fields of papers citing papers by I. Imanaga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200273
2 198747
3 199844
4 200937
5
Thyroid hormones suppress epsilon-PKC signalling, down-regulate connexin-43 and increase lethal arrhythmia susceptibility in non-diabetic and diabetic rat hearts.
200837
6 199334
7 199634
8 199529
9 200029
10 200226
11
Factors involved in the susceptibility of spontaneously hypertensive rats to low K+-induced arrhythmias.
200323
12 199521
13 199321
14 199920
15 199818
16 198717
17 201516
18 199312
19 199611
20 199710

About I. Imanaga

I. Imanaga is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience, Pathology and Forensic Medicine and Clinical Biochemistry, having authored 32 papers that have together received 594 indexed citations. Recurring topics across this work include Ion channel regulation and function (21 papers), Cardiac electrophysiology and arrhythmias (13 papers), Neuroscience and Neuropharmacology Research (8 papers), Connexins and lens biology (6 papers), Neuroscience and Neural Engineering (5 papers), Mitochondrial Function and Pathology (3 papers), Cardiovascular Function and Risk Factors (3 papers) and Molecular Sensors and Ion Detection (2 papers). The work is most often cited by research in Sensory Systems (69 citations), Cellular and Molecular Neuroscience (188 citations), Cardiology and Cardiovascular Medicine (205 citations), Endocrine and Autonomic Systems (54 citations) and Molecular Biology (432 citations). I. Imanaga has collaborated with scholars based in Japan, Slovakia and Ukraine. Frequent co-authors include Masumi Inoue, Naoji Fujishiro, A. Uehara, Narcis Tribulová, Hiroshi Irisawa, Masaki Kameyama, Miyuki Nishi, Hiroshi Takeshima, Y. Sakamoto and Ľudmila Okruhlicová. Their work appears in journals such as American Journal of Physiology-Cell Physiology, The Journal of Physiology, Brain Research, Journal of Molecular and Cellular Cardiology and Physiological Research.

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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