Hirohiko Kohjitani

492 total citations
17 papers, 175 citations indexed

About

Hirohiko Kohjitani is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Hirohiko Kohjitani has authored 17 papers receiving a total of 175 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cardiology and Cardiovascular Medicine, 7 papers in Molecular Biology and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Hirohiko Kohjitani's work include Cardiac electrophysiology and arrhythmias (10 papers), Ion channel regulation and function (5 papers) and Cardiac Arrhythmias and Treatments (5 papers). Hirohiko Kohjitani is often cited by papers focused on Cardiac electrophysiology and arrhythmias (10 papers), Ion channel regulation and function (5 papers) and Cardiac Arrhythmias and Treatments (5 papers). Hirohiko Kohjitani collaborates with scholars based in Japan, China and United States. Hirohiko Kohjitani's co-authors include Yuta Yamamoto, Takeshi Kimura, Minoru Horie, Takeru Makiyama, Yimin Wuriyanghai, Takeshi Harita, Suguru Nishiuchi, Kazuhisa Chonabayashi, Seiko Ohno and Sayako Hirose and has published in prestigious journals such as Scientific Reports, European Heart Journal and Human Molecular Genetics.

In The Last Decade

Hirohiko Kohjitani

13 papers receiving 174 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hirohiko Kohjitani Japan 7 131 110 52 13 12 17 175
Sayako Hirose Japan 6 118 0.9× 93 0.8× 40 0.8× 10 0.8× 7 0.6× 7 143
Takeshi Harita Japan 7 113 0.9× 113 1.0× 41 0.8× 9 0.7× 19 1.6× 11 167
Mamoru Hayano Japan 11 133 1.0× 297 2.7× 44 0.8× 9 0.7× 13 1.1× 15 339
Julianne Wojciak United States 8 197 1.5× 230 2.1× 82 1.6× 18 1.4× 11 0.9× 16 285
Ilaria My Germany 8 122 0.9× 166 1.5× 17 0.3× 8 0.6× 13 1.1× 22 242
Geru Wu United States 7 117 0.9× 227 2.1× 20 0.4× 9 0.7× 19 1.6× 11 253
Fitzwilliam Seibertz Germany 6 64 0.5× 87 0.8× 43 0.8× 8 0.6× 4 0.3× 11 133
Hikari Jo Japan 7 159 1.2× 136 1.2× 38 0.7× 5 0.4× 7 0.6× 10 198
Lisa Dreizehnter Germany 5 301 2.3× 190 1.7× 70 1.3× 17 1.3× 31 2.6× 5 351
Paloma Jordà Spain 9 90 0.7× 187 1.7× 17 0.3× 4 0.3× 11 0.9× 20 217

Countries citing papers authored by Hirohiko Kohjitani

Since Specialization
Citations

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

Fields of papers citing papers by Hirohiko Kohjitani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hirohiko Kohjitani

This figure shows the co-authorship network connecting the top 25 collaborators of Hirohiko Kohjitani. A scholar is included among the top collaborators of Hirohiko Kohjitani 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 Hirohiko Kohjitani. Hirohiko Kohjitani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
2.
Matsumoto, Akira, et al.. (2025). Predicting measurement continuity in home blood pressure monitoring using machine learning. Hypertension Research. 49(3). 852–862.
4.
Kohjitani, Hirohiko, et al.. (2024). Recent developments in machine learning modeling methods for hypertension treatment. Hypertension Research. 47(3). 700–707. 9 indexed citations
6.
Wada, Yuko, Kanae Hasegawa, Hai Huang, et al.. (2023). Non-missense variants ofKCNH2show better outcomes in type 2 long QT syndrome. EP Europace. 25(4). 1491–1499. 9 indexed citations
7.
Watanabe, Shin, Akihiro Komasa, Tetsuma Kawaji, et al.. (2022). Impact of catheter ablation on functional tricuspid regurgitation in patients with atrial fibrillation. Journal of Interventional Cardiac Electrophysiology. 66(6). 1441–1453. 10 indexed citations
9.
Kohjitani, Hirohiko, Yukiko Himeno, Takeru Makiyama, et al.. (2022). Gradient-based parameter optimization method to determine membrane ionic current composition in human induced pluripotent stem cell-derived cardiomyocytes. Scientific Reports. 12(1). 19110–19110. 5 indexed citations
11.
Tanaka, Makoto, Satoshi Shizuta, Akihiro Komasa, et al.. (2020). Sex differences and arrhythmia recurrence after catheter ablation for atrial fibrillation. European Heart Journal. 41(Supplement_2). 2 indexed citations
12.
Yamamoto, Yusuke, Takeru Makiyama, Yimin Wuriyanghai, et al.. (2020). Preclinical proof-of-concept study: antisense-mediated knockdown of CALM as a therapeutic strategy for calmodulinopathy. European Heart Journal. 41(Supplement_2).
13.
Hirose, Sayako, Takeru Makiyama, Yuta Yamamoto, et al.. (2020). Propranolol Attenuates Late Sodium Current in a Long QT Syndrome Type 3-Human Induced Pluripotent Stem Cell Model. Frontiers in Cell and Developmental Biology. 8. 761–761. 11 indexed citations
14.
Baba, Shiro, Takeru Makiyama, Hirofumi Shibata, et al.. (2019). Phenotype-Based High-Throughput Classification of Long QT Syndrome Subtypes Using Human Induced Pluripotent Stem Cells. Stem Cell Reports. 13(2). 394–404. 25 indexed citations
15.
Wuriyanghai, Yimin, Takeru Makiyama, Kenichi Sasaki, et al.. (2018). Complex aberrant splicing in the induced pluripotent stem cell–derived cardiomyocytes from a patient with long QT syndrome carrying KCNQ1-A344Aspl mutation. Heart Rhythm. 15(10). 1566–1574. 28 indexed citations
16.
Wu, Jie, Yuka Mizusawa, Seiko Ohno, et al.. (2018). A hERG mutation E1039X produced a synergistic lesion on IKs together with KCNQ1-R174C mutation in a LQTS family with three compound mutations. Scientific Reports. 8(1). 3129–3129. 2 indexed citations
17.
Yamamoto, Yuta, Takeru Makiyama, Takeshi Harita, et al.. (2017). Allele-specific ablation rescues electrophysiological abnormalities in a human iPS cell model of long-QT syndrome with a CALM2 mutation. Human Molecular Genetics. 26(9). 1670–1677. 68 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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