I Nonaka

606 total citations
7 papers, 513 citations indexed

About

I Nonaka is a scholar working on Molecular Biology, Clinical Biochemistry and Genetics. According to data from OpenAlex, I Nonaka has authored 7 papers receiving a total of 513 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Clinical Biochemistry and 2 papers in Genetics. Recurrent topics in I Nonaka's work include Metabolism and Genetic Disorders (3 papers), Mitochondrial Function and Pathology (2 papers) and Dermatological and Skeletal Disorders (1 paper). I Nonaka is often cited by papers focused on Metabolism and Genetic Disorders (3 papers), Mitochondrial Function and Pathology (2 papers) and Dermatological and Skeletal Disorders (1 paper). I Nonaka collaborates with scholars based in Japan. I Nonaka's co-authors include Masakazu Takemitsu, Azusa Kikuchi, Y. Goto, Shigeo Ohta, J Hayashi, Keiko Shiratori, Hideo Sugie, Masatake Osawa, Kazutoshi Nakano and Hajime Suzuki and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuropathology & Experimental Neurology and Neuromuscular Disorders.

In The Last Decade

I Nonaka

6 papers receiving 498 citations

Peers

I Nonaka
Comparison fields: 5 of 58
  • Molecular Biology 477
  • Clinical Biochemistry 292
  • Cellular and Molecular Neuroscience 43
  • Physiology 28
  • Genetics 21
Replace Yasuo Kagawa with:
Yasuo Kagawa Japan
M. Munaro Italy
Toshihiro Obayashi Japan
Joyeeta Rahman United Kingdom
Petra Bruse Germany
J.M.F. Trijbels Netherlands
Stefanie Bulst Germany
Eduardo Silva Ramos Germany
Adela Guarás Spain
Nancy G. Slate United States
Yasuo Kagawa Japan View profile →
Citations per field, relative to I Nonaka
I Nonaka · 1×
Citations per year, relative to I Nonaka
I Nonaka · 1×

Countries citing papers authored by I Nonaka

Since Specialization
Citations

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

Fields of papers citing papers by I Nonaka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of I Nonaka

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

All Works

7 of 7 papers shown
# Work Indexed citations
1 23
2 469
3
[Severe type arthrogryposis multiplex congenita with pseudohypoaldosteronism].
1
4
[Histochemical study on muscle in Werdnig-Hoffmann disease (author's transl)].
3
5 1
6
An electron microscopic study on the experimental congenital Minamata disease in the rat.
14
7 2

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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2026