Yuji Naya

1.8k citations
31 papers · 1.2k indexed · h-index 15
Topics
Memory and Neural Mechanisms (25 papers)Neuroscience and Neuropharmacology Research (17 papers)Neural dynamics and brain function (16 papers)
Partner nations
ChinaJapanUnited States

In The Last Decade

Yuji Naya

30 papers receiving 1.2k citations

Peers

Yuji Naya
Comparison fields: 5 of 77
  • Cognitive Neuroscience 1.1k
  • Cellular and Molecular Neuroscience 569
  • Sensory Systems 93
  • Artificial Intelligence 57
  • Electrical and Electronic Engineering 54
Replace Zahra M. Aghajan with:
Zahra M. Aghajan United States
Ashley Juavinett United States
Neil Schmitzer-Torbert United States
Marianna Yanike United States
Satoshi Eifuku Japan
Ying‐Wan Lam United States
Ali Jeewajee United Kingdom
Albert Tsao United States
Behrad Noudoost United States
Lucas Pinto United States
Yuji Naya relative to Zahra M. Aghajan United States Zahra M. Aghajan's profile →
Citations per field
00.5×2.7×
Zahra M. Aghajan · 1×
Citations per year

Countries citing papers authored by Yuji Naya

Since Specialization
Citations

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

Fields of papers citing papers by Yuji Naya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuji Naya

This figure shows the co-authorship network connecting the top 25 collaborators of Yuji Naya. A scholar is included among the top collaborators of Yuji Naya 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 Yuji Naya. Yuji Naya 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 29
3 0
4 4
5 4
6 1
7 2
8 4
9 1
10 14
11 12
12 17
13 175
14 43
15 39
16 43
17 41
18 133
19 4
20 60

About Yuji Naya

Yuji Naya is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Sensory Systems, having authored 31 papers that have together received 1.2k indexed citations. Recurring topics across this work include Memory and Neural Mechanisms (25 papers), Neuroscience and Neuropharmacology Research (17 papers) and Neural dynamics and brain function (16 papers). The work is most often cited by research in Cognitive Neuroscience (1.1k citations), Cellular and Molecular Neuroscience (569 citations) and Sensory Systems (93 citations). Yuji Naya has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Yasushi Miyashita, Wendy Suzuki, Masatoshi Yoshida, Masaki Takeda, Cen Yang, Kuniyoshi L. Sakai, Daigo Takeuchi, Kenji W. Koyano, Sylvia Wirth and John J. Sakon. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Neuron.

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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