Takashi Noda

8.7k citations
218 papers · 3.6k indexed · h-index 31
Topics
Cardiac electrophysiology and arrhythmias (117 papers)Cardiac Arrhythmias and Treatments (114 papers)Cardiac pacing and defibrillation studies (84 papers)
Journals
Journal of Biological ChemistryCirculationSHILAP Revista de lepidopterología
Partner nations
JapanUnited StatesItaly

In The Last Decade

Takashi Noda

204 papers receiving 3.5k citations

Peers

Takashi Noda
Comparison fields: 5 of 126
  • Cardiology and Cardiovascular Medicine 2.9k
  • Molecular Biology 1.7k
  • Surgery 181
  • Cellular and Molecular Neuroscience 147
  • Clinical Biochemistry 133
Replace J. S. Frank with:
J. S. Frank United States
G. Siegel Germany
Päivi Laitinen Finland
Frank Wiesmann Germany
Akihiro Yoshida Japan
René Lerch Switzerland
Michael Horn Germany
Akira Nishimura Japan
Pierre Chatelain France
Takuya Kadowaki Japan
Takashi Noda relative to J. S. Frank United States J. S. Frank's profile →
Citations per field
00.5×10×17.1×
J. S. Frank · 1×
Citations per year

Countries citing papers authored by Takashi Noda

Since Specialization
Citations

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

Fields of papers citing papers by Takashi Noda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takashi Noda

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 1
3 0
4 0
5 1
6 6
7 18
8 3
9 10
10 0
11 32
12 7
13 18
14 4
15
1
16 1
17 16
18 16
19 99
20 12

About Takashi Noda

Takashi Noda is a scholar working on Cardiology and Cardiovascular Medicine, Biochemistry and Clinical Biochemistry, having authored 218 papers that have together received 3.6k indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (117 papers), Cardiac Arrhythmias and Treatments (114 papers) and Cardiac pacing and defibrillation studies (84 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (2.9k citations), Molecular Biology (1.7k citations) and Clinical Biochemistry (133 citations). Takashi Noda has collaborated with scholars based in Japan, United States and Italy. Frequent co-authors include Wataru Shimizu, Shiro Kamakura, Kazuhiro Satomi, Takashi Kurita, Naohiko Aihara, Kazuhiro Suyama, Hideo Okamura, Takeshi Aiba, Kengo Kusano and Tohru Ohe. Their work appears in journals such as Journal of Biological Chemistry, Circulation and SHILAP Revista de lepidopterología.

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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