Kengo Sakamoto

1.0k total citations · 1 hit paper
15 papers, 695 citations indexed

About

Kengo Sakamoto is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Organic Chemistry. According to data from OpenAlex, Kengo Sakamoto has authored 15 papers receiving a total of 695 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Cardiology and Cardiovascular Medicine and 2 papers in Organic Chemistry. Recurrent topics in Kengo Sakamoto's work include Cardiac electrophysiology and arrhythmias (6 papers), Ion channel regulation and function (3 papers) and CAR-T cell therapy research (2 papers). Kengo Sakamoto is often cited by papers focused on Cardiac electrophysiology and arrhythmias (6 papers), Ion channel regulation and function (3 papers) and CAR-T cell therapy research (2 papers). Kengo Sakamoto collaborates with scholars based in Japan, South Korea and United States. Kengo Sakamoto's co-authors include Takashi Shiina, Junichi Nakai, Uichi Ikeda, Tatsuichiro Seto, Yasuhiro Kazuki, Kenji Okada, Narumi Uno, Mitsuo Oshimura, Toshihito Gomibuchi and Naoko Shiba and has published in prestigious journals such as Nature, Toxicological Sciences and Frontiers in Pharmacology.

In The Last Decade

Kengo Sakamoto

13 papers receiving 682 citations

Hit Papers

Allogeneic transplantation of iPS cell-derived cardiomyoc... 2016 2026 2019 2022 2016 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Allogeneic transplantation of iPS cell-derived cardiomyocytes regenerates primate hearts
    2016 555 citations Yuji Shiba, Toshihito Gomibuchi et al. Nature profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kengo Sakamoto Japan 7 491 337 148 114 113 15 695
S. Doppler Germany 15 448 0.9× 179 0.5× 159 1.1× 64 0.6× 83 0.7× 35 708
Brandon Nelson United States 8 517 1.1× 215 0.6× 85 0.6× 39 0.3× 102 0.9× 9 629
Alexander Kondrashov United Kingdom 13 684 1.4× 87 0.3× 87 0.6× 16 0.1× 108 1.0× 23 856
Elaheh Karbassi United States 7 467 1.0× 219 0.6× 133 0.9× 86 0.8× 168 1.5× 12 667
Alexandra Bernshausen Germany 7 885 1.8× 474 1.4× 131 0.9× 99 0.9× 50 0.4× 8 1.0k
Jyoti Rao Germany 12 520 1.1× 110 0.3× 152 1.0× 24 0.2× 96 0.8× 16 626
Kaitlin K. Dunn United States 8 369 0.8× 163 0.5× 27 0.2× 55 0.5× 149 1.3× 9 460
Olalla Iglesias‐García Spain 10 165 0.3× 174 0.5× 64 0.4× 88 0.8× 159 1.4× 20 368
Nathan J. VanDusen United States 17 738 1.5× 176 0.5× 230 1.6× 18 0.2× 24 0.2× 19 888

Countries citing papers authored by Kengo Sakamoto

Since Specialization
Citations

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

Fields of papers citing papers by Kengo Sakamoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kengo Sakamoto

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

All Works

15 of 15 papers shown
1.
Sakamoto, Kengo, et al.. (2024). Evaluation of single silicon vacancy centers in nanodiamonds created by ion implantation at cryogenic temperatures. New Journal of Physics. 26(9). 93034–93034. 1 indexed citations
2.
Kobayashi, Ryo, et al.. (2024). An Isolable THF‐Coordinated Dialkylgermanone. Chemistry - An Asian Journal. 19(9). e202400111–e202400111.
3.
Izumi‐Nakaseko, Hiroko, Kengo Sakamoto, Ai Goto, et al.. (2023). Characterization of pathological remodeling in the chronic atrioventricular block cynomolgus monkey heart. Frontiers in Pharmacology. 14. 1055031–1055031.
4.
Ishida, Shintaro, Kengo Sakamoto, Ryo Kobayashi, & Takeaki Iwamoto. (2023). Coordination‐Induced Migration of Aryl Groups in the Reactions of a Dialkylsilanone with a Series of Triarylboranes. Chemistry - An Asian Journal. 18(13). e202300307–e202300307. 3 indexed citations
5.
Goto, Ai, Kengo Sakamoto, Hiroko Izumi‐Nakaseko, et al.. (2022). Validation of Risk-Stratification Method for the Chronic Atrioventricular Block Cynomolgus Monkey Model and Its Mechanistic Interpretation Using 6 Drugs With Pharmacologically Distinct Profile. Toxicological Sciences. 190(1). 99–109. 1 indexed citations
6.
Yagyu, Shigeki, et al.. (2021). A lymphodepleted non‐human primate model for the assessment of acute on‐target and off‐tumor toxicity of human chimeric antigen receptor‐T cells. Clinical & Translational Immunology. 10(6). e1291–e1291. 12 indexed citations
7.
8.
Sakamoto, Kengo, et al.. (2021). Dark tourism as educational tourism: the case of ‘hope tourism’ in Fukushima, Japan. Journal of Heritage Tourism. 16(4). 481–492. 15 indexed citations
9.
Yagyu, Shigeki, Aiko Hasegawa, Miyuki Tanaka, et al.. (2020). Autologous non‐human primate model for safety assessment of piggyBac transposon‐mediated chimeric antigen receptor T cells on granulocyte–macrophage colony‐stimulating factor receptor. Clinical & Translational Immunology. 9(11). e1207–e1207. 9 indexed citations
10.
Goto, Ai, et al.. (2020). Utilization of the chronic atrioventricular block cynomolgus monkey as an in vivo model to evaluate drug interaction-associated torsade de pointes. Journal of Pharmacological Sciences. 142(4). 172–175. 6 indexed citations
11.
12.
Shiba, Yuji, Toshihito Gomibuchi, Tatsuichiro Seto, et al.. (2016). Allogeneic transplantation of iPS cell-derived cardiomyocytes regenerates primate hearts. Nature. 538(7625). 388–391. 555 indexed citations breakdown →
13.
Shiina, Takashi, Keiko Tanaka, Yoshihiko Katsuyama, et al.. (2010). Mitochondrial DNA Diversity among Three Subpopulations of Cynomolgus Macaques (Macaca fascicularis) Originating from the Indochinese Region. EXPERIMENTAL ANIMALS. 59(5). 567–578. 19 indexed citations
14.
Sugiyama, Atsushi, et al.. (2007). BIOCHEMICAL, ANATOMICAL AND ELECTROPHYSIOLOGICAL ADAPTATIONS IN A MONKEY TORSADES DE POINTES PROARRHYTHMIA MODEL. Journal of Pharmacological and Toxicological Methods. 56(2). e36–e36. 1 indexed citations
15.
Ando, Kentaro, Akihiro Kanno, Hironobu Ikeda, et al.. (2005). QT PRODACT: In Vivo QT Assay With a Conscious Monkey for Assessment of the Potential for Drug-Induced QT Interval Prolongation. Journal of Pharmacological Sciences. 99(5). 487–500. 67 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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