Takeru Makiyama

6.9k citations
122 papers · 3.1k indexed · h-index 29

Takeru Makiyama

114 papers receiving 3.0k citations

Peers

Takeru Makiyama
Comparison fields: 5 of 93
  • Cardiology and Cardiovascular Medicine 2.5k
  • Molecular Biology 2.0k
  • Cellular and Molecular Neuroscience 398
  • Internal Medicine 57
  • Surgery 301
Replace Stefan Neef with:
Stefan Neef Germany
Mihail G. Chelu United States
Kunihiro Nishida Japan
James K. Hennan United States
Rio Dumitrascu Germany
Jaime García‐Prieto Spain
Kazuhira Maehara Japan
Deanne Mickelsen United States
Jean-Jacques Mercadier France
Halfdan Aass Norway
Takeru Makiyama relative to Stefan Neef Germany Stefan Neef's profile →
Citations per field
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Stefan Neef · 1×
Citations per year

Countries citing papers authored by Takeru Makiyama

Since Specialization
Citations

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

Fields of papers citing papers by Takeru Makiyama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Takeru Makiyama, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Takeru Makiyama Line = papers co-authored together Takeru Makiyama links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20240
2 20232
3 20216
4 20205
5 202011
6 202011
7 20186
8 20172
9 20167
10 201527
11 201522
12 201413
13 201357
14 20130
15 20111
16 201123
17 2008160
18
Plakophilin-2 mutations are common in Japanese arrhythmogenic right ventricular cardiomyopathy
20080
19
OJ-347 Noninducibility of Atrial Fibrillation as an End Point of Pulmonary Vein Antrum Isolation for Paroxysmal Atrial Fibrillation(Arrhythmia, therapy-5 (A) OJ58,Oral Presentation (Japanese),The 70th Anniversary Annual Scientific Meeting of the Japanese Circulation Society)
20062
20 2005106

About Takeru Makiyama

Takeru Makiyama is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Internal Medicine, having authored 122 papers that have together received 3.1k indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (86 papers), Ion channel regulation and function (69 papers), Cardiac Arrhythmias and Treatments (14 papers), ECG Monitoring and Analysis (13 papers), Cardiomyopathy and Myosin Studies (12 papers), Receptor Mechanisms and Signaling (11 papers), Cardiac pacing and defibrillation studies (10 papers) and Cardiovascular Effects of Exercise (10 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (2.5k citations), Molecular Biology (2.0k citations) and Cellular and Molecular Neuroscience (398 citations). Takeru Makiyama has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Minoru Horie, Seiko Ohno, Hideki Itoh, Takeshi Kimura, Toru Kita, Masaharu Akao, Hiroshi Matsuura, Wataru Shimizu, Naomasa Makita and Megumi Fukuyama. Their work appears in journals such as Circulation, Journal of Clinical Investigation 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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