Naoki Yokota

2.3k citations
67 papers · 1.8k indexed · h-index 25
Topics
Fuel Cells and Related Materials (7 papers)Glioma Diagnosis and Treatment (5 papers)Pituitary Gland Disorders and Treatments (5 papers)
Journals
SHILAP Revista de lepidopterologíaJournal of Power SourcesStroke
Partner nations
JapanChinaMalaysia

In The Last Decade

Naoki Yokota

66 papers receiving 1.8k citations

Peers

Naoki Yokota
Comparison fields: 5 of 119
  • Molecular Biology 686
  • Electrical and Electronic Engineering 283
  • Biomedical Engineering 281
  • Genetics 251
  • Genetics 206
Replace Brian P. Witwer with:
Brian P. Witwer United States
Bernd Sellhaus Germany
Nao Kobayashi Japan
Ching-Pin Chang United States
Erwin L. A. Blezer Netherlands
Akihito Yamamoto Japan
Karolína Turnovcová Czechia
Csanád Várallyay United States
Divya M. Chari United Kingdom
Patrizia De Marco Italy
Naoki Yokota relative to Brian P. Witwer United States Brian P. Witwer's profile →
Citations per field
00.5×11.3×
Brian P. Witwer · 1×
Citations per year

Countries citing papers authored by Naoki Yokota

Since Specialization
Citations

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

Fields of papers citing papers by Naoki Yokota

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naoki Yokota

This figure shows the co-authorship network connecting the top 25 collaborators of Naoki Yokota. A scholar is included among the top collaborators of Naoki Yokota 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 Naoki Yokota. Naoki Yokota 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 3
2 0
3 4
4 2
5 25
6 1
7 2
8 13
9 50
10 6
11 8
12 6
13 25
14 79
15 133
16 88
17 24
18 34
19 4
20 205

About Naoki Yokota

Naoki Yokota is a scholar working on Otorhinolaryngology, Neurology and Genetics, having authored 67 papers that have together received 1.8k indexed citations. Recurring topics across this work include Fuel Cells and Related Materials (7 papers), Glioma Diagnosis and Treatment (5 papers) and Pituitary Gland Disorders and Treatments (5 papers). The work is most often cited by research in Developmental Neuroscience (122 citations), Genetics (251 citations) and Neurology (205 citations). Naoki Yokota has collaborated with scholars based in Japan, China and Malaysia. Frequent co-authors include Hiroki Namba, Jun Aruga, Shigeru Nishizawa, Katsuhiko Mikoshiba, Tsutomu Tokuyama, Seiji Ohta, Kenji Miyatake, Ryo Akiyama, Tetsuo Yokoyama and Masayo Koide. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Power Sources and Stroke.

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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