Tetsushi Kagawa

2.2k citations
36 papers · 1.8k indexed · h-index 23
Topics
Neurogenesis and neuroplasticity mechanisms (19 papers)Epigenetics and DNA Methylation (6 papers)Axon Guidance and Neuronal Signaling (6 papers)
Partner nations
JapanUnited StatesCanada

In The Last Decade

Tetsushi Kagawa

36 papers receiving 1.8k citations

Peers

Tetsushi Kagawa
Comparison fields: 5 of 85
  • Molecular Biology 1.1k
  • Developmental Neuroscience 780
  • Cellular and Molecular Neuroscience 581
  • Cell Biology 218
  • Cancer Research 205
Replace Motoshi Nagao with:
Motoshi Nagao Japan
Ronald R. Waclaw United States
Céline Plachez United States
Håkan Toresson Sweden
Bernard Zalc France
Tom Kowalczyk United States
Raffaella Scardigli Italy
Sonja Rakić United Kingdom
Philippe Cochard France
Dimitra Thomaidou Greece
Tetsushi Kagawa relative to Motoshi Nagao Japan Motoshi Nagao's profile →
Citations per field
00.5×1.5×
Motoshi Nagao · 1×
Citations per year

Countries citing papers authored by Tetsushi Kagawa

Since Specialization
Citations

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

Fields of papers citing papers by Tetsushi Kagawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tetsushi Kagawa

This figure shows the co-authorship network connecting the top 25 collaborators of Tetsushi Kagawa. A scholar is included among the top collaborators of Tetsushi Kagawa 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 Tetsushi Kagawa. Tetsushi Kagawa 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 34
2 156
3 35
4 23
5 127
6 47
7 62
8 26
9 7
10 15
11 29
12 4
13 44
14 9
15 80
16 32
17 14
18 33
19 122
20 15

About Tetsushi Kagawa

Tetsushi Kagawa is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience and Molecular Biology, having authored 36 papers that have together received 1.8k indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (19 papers), Epigenetics and DNA Methylation (6 papers) and Axon Guidance and Neuronal Signaling (6 papers). The work is most often cited by research in Developmental Neuroscience (780 citations), Cellular and Molecular Neuroscience (581 citations) and Neurology (187 citations). Tetsushi Kagawa has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Kazuhiro Ikenaka, Katsuhiko Mikoshiba, Tetsuya Taga, Shinji Takada, Toshihiro Inoue, Martyn Goulding, Takeshi Shimizu, Harald Saueressig, John Burrill and Michael Groß. Their work appears in journals such as Neuron, Molecular and Cellular Biology and Brain Research.

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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