Tomonori Takeuchi

3.8k citations
30 papers · 2.5k indexed · 2 hit papers · h-index 17
Topics
Neuroscience and Neuropharmacology Research (18 papers)Memory and Neural Mechanisms (12 papers)Neural dynamics and brain function (6 papers)

In The Last Decade

Tomonori Takeuchi

30 papers receiving 2.5k citations

Hit Papers

Locus coeruleus and dopaminergic consolidation of everyda...201320262017202120162013100200300400500

Peers

Tomonori Takeuchi
Comparison fields: 5 of 123
  • Cellular and Molecular Neuroscience 1.6k
  • Cognitive Neuroscience 1.3k
  • Molecular Biology 697
  • Neurology 330
  • Developmental Neuroscience 205
Replace Mark F. Yeckel with:
Mark F. Yeckel United States
Jonathan R. Whitlock Norway
Roberto De Pasquale United States
Simon Rumpel Germany
Tomás J. Ryan United States
Raphael Lamprecht Israel
Michele Pignatelli United States
Csaba Földy United States
Raymond A. Chitwood United States
J. Paige Adams United States
Tomonori Takeuchi relative to Mark F. Yeckel United States Mark F. Yeckel's profile →
Citations per field
00.5×5.3×
Mark F. Yeckel · 1×
Citations per year

Countries citing papers authored by Tomonori Takeuchi

Since Specialization
Citations

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

Fields of papers citing papers by Tomonori Takeuchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomonori Takeuchi

This figure shows the co-authorship network connecting the top 25 collaborators of Tomonori Takeuchi. A scholar is included among the top collaborators of Tomonori Takeuchi 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 Tomonori Takeuchi. Tomonori Takeuchi 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 13
2 2
3 2
4 12
5 5
6 18
7 46
8 10
9 19
10 195
11
Locus coeruleus and dopaminergic consolidation of everyday memorybreakdown →
515
12 39
13 369
14 17
15 43
16 89
17 55
18 48
19 15
20 1

About Tomonori Takeuchi

Tomonori Takeuchi is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Neurology, having authored 30 papers that have together received 2.5k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (18 papers), Memory and Neural Mechanisms (12 papers) and Neural dynamics and brain function (6 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.6k citations), Cognitive Neuroscience (1.3k citations) and Developmental Neuroscience (205 citations). Tomonori Takeuchi has collaborated with scholars based in Japan, Denmark and United Kingdom. Frequent co-authors include Richard Morris, Adrian J. Duszkiewicz, Miwako Yamasaki, Masayoshi Mishina, Masahiko Watanabe, Kenji Sakimura, Dorothy Tse, Yasushi Kajii, Haruhiko Bito and Chiharu Tohyama. Their work appears in journals such as Nature, Science and Cell.

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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