Kenji Jinnai

1.8k citations
65 papers · 1.0k indexed · h-index 19
Topics
Genetic Neurodegenerative Diseases (23 papers)Mitochondrial Function and Pathology (17 papers)Parkinson's Disease Mechanisms and Treatments (10 papers)

In The Last Decade

Kenji Jinnai

64 papers receiving 1.0k citations

Peers

Kenji Jinnai
Comparison fields: 5 of 82
  • Molecular Biology 507
  • Cellular and Molecular Neuroscience 487
  • Neurology 394
  • Neurology 170
  • Physiology 128
Replace Takao Omura with:
Takao Omura Japan
Milan Makwana United Kingdom
Grzegorz Wicher Sweden
David Ramonet Spain
K. V. Toyka Germany
A. Neil Verity United States
A.J. Zamora France
Louise Charron Canada
Dominic B. Fee United States
Luis Federico Bátiz Chile
Kenji Jinnai relative to Takao Omura Japan Takao Omura's profile →
Citations per field
00.5×1.5×2.3×
Takao Omura · 1×
Citations per year

Countries citing papers authored by Kenji Jinnai

Since Specialization
Citations

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

Fields of papers citing papers by Kenji Jinnai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kenji Jinnai

This figure shows the co-authorship network connecting the top 25 collaborators of Kenji Jinnai. A scholar is included among the top collaborators of Kenji Jinnai 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 Kenji Jinnai. Kenji Jinnai 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 38
3 6
4 19
5 66
6 26
7 3
8 10
9 5
10 8
11 10
12 10
13 18
14 33
15
[A case of hereditary pressure-sensitive neuropathy, confirmed by a gene analysis].
3
16 11
17 4
18 11
19 22
20 32

About Kenji Jinnai

Kenji Jinnai is a scholar working on Cellular and Molecular Neuroscience, Neurology and Neurology, having authored 65 papers that have together received 1.0k indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (23 papers), Mitochondrial Function and Pathology (17 papers) and Parkinson's Disease Mechanisms and Treatments (10 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (487 citations), Neurology (394 citations) and Neurology (170 citations). Kenji Jinnai has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Fumio Kanda, Keiichi Takahashi, S. Ono, Naonobu Futamura, Kōichi Nagao, Itaru Funakawa, Shigehisa Mitake, Yoshihiro Fukuoka, Hiroshi Kurisaki and Takuo Fujita. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and PLoS ONE.

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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