Masami Kodama

422 total citations
12 papers, 303 citations indexed

About

Masami Kodama is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Cellular and Molecular Neuroscience. According to data from OpenAlex, Masami Kodama has authored 12 papers receiving a total of 303 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 5 papers in Cardiology and Cardiovascular Medicine and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Masami Kodama's work include Ion channel regulation and function (6 papers), Cardiac electrophysiology and arrhythmias (5 papers) and Receptor Mechanisms and Signaling (3 papers). Masami Kodama is often cited by papers focused on Ion channel regulation and function (6 papers), Cardiac electrophysiology and arrhythmias (5 papers) and Receptor Mechanisms and Signaling (3 papers). Masami Kodama collaborates with scholars based in Japan and United States. Masami Kodama's co-authors include Junko Kurokawa, Tetsushi Furukawa, Colleen E. Clancy, K. Sakamoto, Yasunari Kanda, Yuko Sekino, Kazuaki Nakajima, Shinji Kawaguchi, Eiji Kobayashi and Yoshikazu Kishino and has published in prestigious journals such as Nature Communications, Molecular and Cellular Biology and Pharmacology & Therapeutics.

In The Last Decade

Masami Kodama

11 papers receiving 300 citations

Peers

Masami Kodama
Óscar Gutiérrez‐Gutiérrez Germany
Abir Yamak Canada
Anthony C. Sturzu United States
Yuanbiao Zhao United States
Roberto Quaranta Germany
Jeremy Kah Sheng Pang Singapore
Wouter Derks Germany
Kai‐Chun Yang United States
Benoite Champon France
Óscar Gutiérrez‐Gutiérrez Germany
Masami Kodama
Citations per year, relative to Masami Kodama Masami Kodama (= 1×) peers Óscar Gutiérrez‐Gutiérrez

Countries citing papers authored by Masami Kodama

Since Specialization
Citations

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

Fields of papers citing papers by Masami Kodama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masami Kodama

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

All Works

12 of 12 papers shown
1.
Ogawa, Haruo & Masami Kodama. (2024). Structural insight into hormone recognition by the natriuretic peptide receptor‐A. FEBS Journal. 291(10). 2273–2286.
2.
Kobayashi, Takuya, Akihisa Tsutsumi, Nagomi Kurebayashi, et al.. (2022). Molecular basis for gating of cardiac ryanodine receptor explains the mechanisms for gain- and loss-of function mutations. Nature Communications. 13(1). 2821–2821. 14 indexed citations
3.
Kodama, Masami, Kazuharu Furutani, Tomoko Ando, et al.. (2019). Systematic expression analysis of genes related to generation of action potentials in human iPS cell-derived cardiomyocytes. Journal of Pharmacological Sciences. 140(4). 325–330. 11 indexed citations
4.
Li, Min, Yasunari Kanda, Takashi Ashihara, et al.. (2017). Overexpression of KCNJ2 in induced pluripotent stem cell-derived cardiomyocytes for the assessment of QT-prolonging drugs. Journal of Pharmacological Sciences. 134(2). 75–85. 38 indexed citations
5.
Tohyama, Shugo, Jun Fujita, K. Sakamoto, et al.. (2017). Efficient Large-Scale 2D Culture System for Human Induced Pluripotent Stem Cells and Differentiated Cardiomyocytes. Stem Cell Reports. 9(5). 1406–1414. 92 indexed citations
6.
Kurokawa, Junko, Masami Kodama, Colleen E. Clancy, & Tetsushi Furukawa. (2016). Sex hormonal regulation of cardiac ion channels in drug-induced QT syndromes. Pharmacology & Therapeutics. 168. 23–28. 47 indexed citations
7.
Kurokawa, Junko, Tetsuo Sasano, Masami Kodama, et al.. (2015). Aromatase knockout mice reveal an impact of estrogen on drug-induced alternation of murine electrocardiography parameters. The Journal of Toxicological Sciences. 40(3). 339–348. 11 indexed citations
8.
Kurokawa, Junko, Masami Kodama, Tetsushi Furukawa, & Colleen E. Clancy. (2012). Sex and Gender Aspects in Antiarrhythmic Therapy. Handbook of experimental pharmacology. 237–263. 8 indexed citations
9.
Nishihara, Tadashi, Fumikiyo Nagawa, Hirofumi Nishizumi, et al.. (2004). In Vitro Processing of the 3′-Overhanging DNA in the Postcleavage Complex Involved in V(D)J Joining. Molecular and Cellular Biology. 24(9). 3692–3702. 8 indexed citations
10.
Nagawa, Fumikiyo, Masami Kodama, Tadashi Nishihara, Kei‐ichiro Ishiguro, & Hitoshi Sakano. (2002). Footprint Analysis of Recombination Signal Sequences in the 12/23 Synaptic Complex of V(D)J Recombination. Molecular and Cellular Biology. 22(20). 7217–7225. 17 indexed citations
11.
Kodama, Masami. (1997). Estimation of minimal size of translocated chromosome segments detectable by fluorescence in situ hybridization. International Journal of Radiation Biology. 71(1). 35–39. 54 indexed citations
12.

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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