Kazutoshi Nakano

970 citations
21 papers · 766 indexed · h-index 9
Topics
Metabolism and Genetic Disorders (8 papers)Mitochondrial Function and Pathology (7 papers)ATP Synthase and ATPases Research (3 papers)
Partner nations
JapanUnited StatesFrance

In The Last Decade

Kazutoshi Nakano

20 papers receiving 746 citations

Peers

Kazutoshi Nakano
Comparison fields: 5 of 96
  • Molecular Biology 495
  • Neurology 216
  • Cancer Research 132
  • Cellular and Molecular Neuroscience 125
  • Clinical Biochemistry 104
Replace Veronica Granatiero with:
Veronica Granatiero Italy
Alessandra Maresca Italy
Michal Cagalinec Slovakia
Marina Mattiazzi Italy
Oxana V. Baranova United States
Hendrik Rosewich Germany
Tatjana Kleele Germany
Marcel V. Alavi Germany
Sarah B. Mueller United States
Judy V. Nguyen United States
Kazutoshi Nakano relative to Veronica Granatiero Italy Veronica Granatiero's profile →
Citations per field
00.5×1.5×2.3×
Veronica Granatiero · 1×
Citations per year

Countries citing papers authored by Kazutoshi Nakano

Since Specialization
Citations

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

Fields of papers citing papers by Kazutoshi Nakano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kazutoshi Nakano

This figure shows the co-authorship network connecting the top 25 collaborators of Kazutoshi Nakano. A scholar is included among the top collaborators of Kazutoshi Nakano 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 Kazutoshi Nakano. Kazutoshi Nakano 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 1
2 26
3 1
4 24
5 3
6 8
7 8
8 234
9 35
10 17
11
A Preliminary Study of Methylcobalamin Therapy in Autism
7
12 6
13
[A two-year-old infant with a myopathic form of very-long-chain Acyl-CoA dehydrogenase deficiency].
1
14 23
15 5
16 340
17 15
18 3
19 1
20 1

About Kazutoshi Nakano

Kazutoshi Nakano is a scholar working on Clinical Biochemistry, Obstetrics and Gynecology and Periodontics, having authored 21 papers that have together received 766 indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (8 papers), Mitochondrial Function and Pathology (7 papers) and ATP Synthase and ATPases Research (3 papers). The work is most often cited by research in Clinical Biochemistry (104 citations), Neurology (216 citations) and Cancer Research (132 citations). Kazutoshi Nakano has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Robert Hill, Richard Haas, Clifford W. Shults, Mary Pay, David C. Ward, Giovanni Manfredi, Jennifer Q. Kwong, Shigeo Ohta, Takashi Kanamori and Hideaki Oda. Their work appears in journals such as Cancer Research, Annals of Neurology and The Journal of Pediatrics.

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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