Chieko Kasai

614 total citations
9 papers, 422 citations indexed

About

Chieko Kasai is a scholar working on Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Chieko Kasai has authored 9 papers receiving a total of 422 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cardiology and Cardiovascular Medicine, 4 papers in Cellular and Molecular Neuroscience and 3 papers in Molecular Biology. Recurrent topics in Chieko Kasai's work include Cardiac electrophysiology and arrhythmias (6 papers), Ion channel regulation and function (2 papers) and Receptor Mechanisms and Signaling (2 papers). Chieko Kasai is often cited by papers focused on Cardiac electrophysiology and arrhythmias (6 papers), Ion channel regulation and function (2 papers) and Receptor Mechanisms and Signaling (2 papers). Chieko Kasai collaborates with scholars based in Japan, Spain and Belgium. Chieko Kasai's co-authors include Hiroyuki Ando, Yasunari Kanda, Kohei Sawada, Yuko Sekino, Keiichi Asakura, Tomoharu Osada, Atsuko Ojima, Norimasa Miyamoto, Tomohiko Taniguchi and Seiji Hayashi and has published in prestigious journals such as PLoS ONE, Clinical and Experimental Pharmacology and Physiology and Handbook of experimental pharmacology.

In The Last Decade

Chieko Kasai

9 papers receiving 403 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Chieko Kasai Japan 7 255 228 204 84 31 9 422
Keiichi Asakura Japan 7 325 1.3× 315 1.4× 256 1.3× 94 1.1× 37 1.2× 7 502
Christopher E. Pollard United Kingdom 11 164 0.6× 217 1.0× 130 0.6× 101 1.2× 42 1.4× 13 453
Aziza El Harchi United Kingdom 19 810 3.2× 742 3.3× 225 1.1× 19 0.2× 12 0.4× 38 969
J‐P Valentin United Kingdom 8 297 1.2× 266 1.2× 65 0.3× 26 0.3× 8 0.3× 8 368
Csaba Szegedi Hungary 14 266 1.0× 472 2.1× 156 0.8× 18 0.2× 67 2.2× 18 598
Tobias Linder Austria 14 159 0.6× 329 1.4× 118 0.6× 19 0.2× 25 0.8× 17 442
Mark J. McPate United Kingdom 12 612 2.4× 601 2.6× 175 0.9× 11 0.1× 8 0.3× 15 708
R J Solaro United States 10 316 1.2× 211 0.9× 52 0.3× 29 0.3× 15 0.5× 15 401
Jenifer A. Bradley United States 7 267 1.0× 299 1.3× 150 0.7× 31 0.4× 2 0.1× 10 434
Leonid B. Katsnelson Russia 17 561 2.2× 250 1.1× 107 0.5× 68 0.8× 22 0.7× 59 679

Countries citing papers authored by Chieko Kasai

Since Specialization
Citations

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

Fields of papers citing papers by Chieko Kasai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chieko Kasai

This figure shows the co-authorship network connecting the top 25 collaborators of Chieko Kasai. A scholar is included among the top collaborators of Chieko Kasai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chieko Kasai. Chieko Kasai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Nakano, Koji, et al.. (2018). Investigation of individual analysis of QT interval in beagle dogs. Journal of Pharmacological and Toxicological Methods. 93. 157–157. 2 indexed citations
2.
Ando, Hiroyuki, Takashi Yoshinaga, Wataru Yamamoto, et al.. (2016). A new paradigm for drug-induced torsadogenic risk assessment using human iPS cell-derived cardiomyocytes. Journal of Pharmacological and Toxicological Methods. 84. 111–127. 143 indexed citations
3.
Yamamoto, Wataru, Keiichi Asakura, Hiroyuki Ando, et al.. (2016). Electrophysiological Characteristics of Human iPSC-Derived Cardiomyocytes for the Assessment of Drug-Induced Proarrhythmic Potential. PLoS ONE. 11(12). e0167348–e0167348. 61 indexed citations
4.
Asakura, Keiichi, Seiji Hayashi, Atsuko Ojima, et al.. (2015). Improvement of acquisition and analysis methods in multi-electrode array experiments with iPS cell-derived cardiomyocytes. Journal of Pharmacological and Toxicological Methods. 75. 17–26. 114 indexed citations
5.
Bass, Alan, et al.. (2015). A Historical View and Vision into the Future of the Field of Safety Pharmacology. Handbook of experimental pharmacology. 229. 3–45. 18 indexed citations
6.
Kasai, Chieko, et al.. (2005). QT PRODACT: Comparison of Non-clinical Studies for Drug-Induced Delay in Ventricular Repolarization and Their Role in Safety Evaluation in Humans. Journal of Pharmacological Sciences. 99(5). 531–541. 56 indexed citations
7.
Matsunaga, Hirokazu, et al.. (1999). Changes of plasma l-arginine levels in spontaneously hypertensive rats under induced hypotension. Biomedical Chromatography. 13(1). 27–32. 9 indexed citations
8.
Santa, Tomofumi, Hiroshi Homma, Chieko Kasai, et al.. (1998). Age-Related Weakening of Baroreflex-Mediated Sympathetic Activity in Spontaneously Hypertensive Rats in Response to Blood Pressure Reduction.. Hypertension Research. 21(3). 147–153. 14 indexed citations
9.
Kasai, Chieko, et al.. (1995). EFFECT OF BARNIDIPINE ON BLOOD FLOW TO MAJOR ORGANS AND RENAL FUNCTION IN ANAESTHETIZED DOGS AND SPONTANEOUSLY HYPERTENSIVE RATS. Clinical and Experimental Pharmacology and Physiology. 22(s1). S339–40. 5 indexed citations

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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2026