Y. Takeuchi

1.5k citations
65 papers · 1.3k · h-index 19

Impact in

Papers in

Y. Takeuchi

55 papers receiving 1.2k citations

Peers

Y. Takeuchi
Comparison fields: 5 of 115
  • Cellular and Molecular Neuroscience 712
  • Endocrine and Autonomic Systems 213
  • Developmental Neuroscience 69
  • Behavioral Neuroscience 51
  • Neurology 113
Replace Siyun Shu with:
Siyun Shu China
Kevin R. Oliver United Kingdom
Tetsuro Sakumoto Japan
M. Costa Australia
Margarita Diez Sweden
Shiro Nakagawa Japan
Rémi Quirion Canada
James W. Sharp United States
Leonard L. Ross United States
Carlos A. Beltramino Argentina
Y. Takeuchi relative to Siyun Shu China Siyun Shu's profile →
Citations per field
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Siyun Shu · 1×
Citations per year

Countries citing papers authored by Y. Takeuchi

Since Specialization
Citations

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

Fields of papers citing papers by Y. Takeuchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Y. Takeuchi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Y. Takeuchi Line = papers co-authored together Y. Takeuchi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1982224
2 1982102
3 200065
4 198365
5 198361
6 198361
7 198254
8 200843
9 199143
10 198341
11 198240
12 198336
13 198235
14 199829
15 198229
16 198327
17 200023
18 198220
19
Possible differential diagnosis of neuroblastoma from rhabdomyosarcoma and Ewing's sarcoma by using a panel of monoclonal antibodies.
198520
20 199118

About Y. Takeuchi

Y. Takeuchi is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Pediatrics, Perinatology and Child Health, Genetics and Ecology, Evolution, Behavior and Systematics, having authored 65 papers that have together received 1.3k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (13 papers), Neurotransmitter Receptor Influence on Behavior (9 papers), Plant and animal studies (7 papers), Evolution and Genetic Dynamics (6 papers), Evolutionary Game Theory and Cooperation (5 papers), Neonatal and fetal brain pathology (4 papers), Receptor Mechanisms and Signaling (4 papers) and Neurogenesis and neuroplasticity mechanisms (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (712 citations), Endocrine and Autonomic Systems (213 citations), Developmental Neuroscience (69 citations), Behavioral Neuroscience (51 citations) and Neurology (113 citations). Y. Takeuchi has collaborated with scholars based in Japan, India and United Kingdom. Frequent co-authors include Y. Sano, Hiroshi Kimura, Masayo Kojima, Minako Goto, Tadao Matsuura, Shuichi Ueda, T. Sawada, Mitsuhiro Kawata, Hideto Inokuchi and Keiichi Kawai. Their work appears in journals such as Cell and Tissue Research, Acta Neuropathologica, Histochemistry and Cell Biology, Brain Research and Journal of Biological Dynamics.

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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