Ikuya Nonaka

1.6k citations
31 papers · 1.2k indexed · 1 hit paper · h-index 17
Topics
Muscle Physiology and Disorders (13 papers)Mitochondrial Function and Pathology (9 papers)Metabolism and Genetic Disorders (8 papers)

In The Last Decade

Ikuya Nonaka

31 papers receiving 1.2k citations

Hit Papers

An ancient retrotransposal insertion causes Fukuyama-type...19982026200720161998200400600

Peers

Ikuya Nonaka
Comparison fields: 5 of 73
  • Molecular Biology 977
  • Cellular and Molecular Neuroscience 228
  • Physiology 195
  • Cell Biology 150
  • Cardiology and Cardiovascular Medicine 146
Replace L. Palmucci with:
L. Palmucci Italy
Norma B. Romero France
Stefania Assereto Italy
Helen Griffin United Kingdom
Hiroki Hagiwara Japan
Alessandro Malandrini Italy
Jens Reimann Germany
Veronika Boczonadi United Kingdom
Sebahattin Çırak Germany
Cristina Jou Spain
Ikuya Nonaka relative to L. Palmucci Italy L. Palmucci's profile →
Citations per field
00.5×7.5×
L. Palmucci · 1×
Citations per year

Countries citing papers authored by Ikuya Nonaka

Since Specialization
Citations

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

Fields of papers citing papers by Ikuya Nonaka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ikuya Nonaka

This figure shows the co-authorship network connecting the top 25 collaborators of Ikuya Nonaka. A scholar is included among the top collaborators of Ikuya Nonaka 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 Ikuya Nonaka. Ikuya Nonaka 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 55
2 31
3 6
4 37
5 24
6 21
7
An ancient retrotransposal insertion causes Fukuyama-type congenital muscular dystrophybreakdown →
624
8 19
9 32
10 12
11 27
12 16
13 29
14 2
15 10
16 3
17 35
18 12
19 38
20 12

About Ikuya Nonaka

Ikuya Nonaka is a scholar working on Clinical Biochemistry, Molecular Biology and Cell Biology, having authored 31 papers that have together received 1.2k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (13 papers), Mitochondrial Function and Pathology (9 papers) and Metabolism and Genetic Disorders (8 papers). The work is most often cited by research in Clinical Biochemistry (131 citations), Molecular Biology (977 citations) and Cellular and Molecular Neuroscience (228 citations). Ikuya Nonaka has collaborated with scholars based in Japan, United States and Singapore. Frequent co-authors include Yutaka Nakahori, Yoshiko Nomura, Yasuo Nakagome, Tatsushi Toda, Kazuhiro Kobayashi, Makiko Ōsawa, Kayoko Saito, Eri Kondo-Iida, Katsushi Tokunaga and Kiichiro Matsumura. Their work appears in journals such as Nature, Biochemical and Biophysical Research Communications and Acta Neuropathologica.

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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