Yuta Nakano

880 citations
51 papers · 618 indexed · h-index 13
Topics
Parkinson's Disease Mechanisms and Treatments (6 papers)Renal Diseases and Glomerulopathies (3 papers)Alzheimer's disease research and treatments (3 papers)
Journals
Journal of Biological ChemistrySHILAP Revista de lepidopterologíaPLoS ONE
Partner nations
JapanUnited StatesFrance

In The Last Decade

Yuta Nakano

44 papers receiving 611 citations

Peers

Yuta Nakano
Comparison fields: 5 of 98
  • Neurology 219
  • Molecular Biology 185
  • Physiology 132
  • Cellular and Molecular Neuroscience 107
  • Genetics 82
Replace U. Fauser with:
U. Fauser Germany
Anna Lisa Agneletti Italy
Boonlert Cheewatrakoolpong United States
Regina H. Reynolds United Kingdom
Yingxue Ren United States
Christiaan G. J. Saris Netherlands
Damacio Ramón Kaimen-Maciel Brazil
Saori Shimizu United States
Giancarlo Conti Italy
Min Seong Kwon United States
Yuta Nakano relative to U. Fauser Germany U. Fauser's profile →
Citations per field
00.5×5.3×
U. Fauser · 1×
Citations per year

Countries citing papers authored by Yuta Nakano

Since Specialization
Citations

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

Fields of papers citing papers by Yuta Nakano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuta Nakano

This figure shows the co-authorship network connecting the top 25 collaborators of Yuta Nakano. A scholar is included among the top collaborators of Yuta 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 Yuta Nakano. Yuta 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 0
2 5
3 0
4 18
5 0
6 1
7 3
8 1
9 2
10 2
11 5
12 2
13 27
14 4
15 60
16 109
17 21
18 21
19
AUTOMATIC EXTRACTION OF INTERNAL ORGANS REGION FROM 3D PET IMAGE DATA USING 3D-ACTIT(International Workshop on Advanced Image Technology 2006)
5
20 26

About Yuta Nakano

Yuta Nakano is a scholar working on Neurology, Aging and Nephrology, having authored 51 papers that have together received 618 indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (6 papers), Renal Diseases and Glomerulopathies (3 papers) and Alzheimer's disease research and treatments (3 papers). The work is most often cited by research in Neurology (219 citations), Neurology (59 citations) and Cellular and Molecular Neuroscience (107 citations). Yuta Nakano has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Shigeo Murayama, A Uchino, Hiroyuki Hatsuta, Hiroyuki Sumikura, Masaki Takao, Yuko Saito, Akane Nogami, Takashi Morita, Yasuo Yamazaki and Tomio Arai. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología 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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