Naoto Matsuda

1.7k citations
13 papers · 1.4k indexed · 1 hit paper · h-index 10
Topics
Zebrafish Biomedical Research Applications (5 papers)Neuroscience and Neuropharmacology Research (4 papers)Axon Guidance and Neuronal Signaling (4 papers)
Partner nations
JapanUnited States

In The Last Decade

Naoto Matsuda

13 papers receiving 1.4k citations

Hit Papers

A Transposon-Mediated Gene Trap Approach Identifies Devel...20042026201120182004200400600

Peers

Naoto Matsuda
Comparison fields: 5 of 98
  • Molecular Biology 873
  • Cell Biology 465
  • Cellular and Molecular Neuroscience 455
  • Genetics 217
  • Developmental Neuroscience 162
Replace Giovanna Lalli with:
Giovanna Lalli United Kingdom
Narendrakumar Ramanan United States
Chan Choo Yap United States
Laura F. Gumy Netherlands
Stanislav L. Karsten United States
Majid Hafezparast United Kingdom
Diego Peretti United Kingdom
Changan Jiang China
Nien‐Pei Tsai United States
Gregory T. Macleod United States
Naoto Matsuda relative to Giovanna Lalli United Kingdom Giovanna Lalli's profile →
Citations per field
00.5×1.5×1.8×
Giovanna Lalli · 1×
Citations per year

Countries citing papers authored by Naoto Matsuda

Since Specialization
Citations

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

Fields of papers citing papers by Naoto Matsuda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naoto Matsuda

This figure shows the co-authorship network connecting the top 25 collaborators of Naoto Matsuda. A scholar is included among the top collaborators of Naoto Matsuda 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 Naoto Matsuda. Naoto Matsuda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
#WorkIndexed citations
1 3
2 9
3 56
4 208
5 173
6 97
7 15
8
A Transposon-Mediated Gene Trap Approach Identifies Developmentally Regulated Genes in Zebrafishbreakdown →
691
9 25
10 25
11 7
12 26
13 42

About Naoto Matsuda

Naoto Matsuda is a scholar working on Developmental Neuroscience, Cell Biology and Virology, having authored 13 papers that have together received 1.4k indexed citations. Recurring topics across this work include Zebrafish Biomedical Research Applications (5 papers), Neuroscience and Neuropharmacology Research (4 papers) and Axon Guidance and Neuronal Signaling (4 papers). The work is most often cited by research in Developmental Neuroscience (162 citations), Cell Biology (465 citations) and Cellular and Molecular Neuroscience (455 citations). Naoto Matsuda has collaborated with scholars based in Japan and United States. Frequent co-authors include Masayoshi Mishina, Makoto Kobayashi, Koichi Kawakami, Hisashi Takeda, N. Kawakami, Mu‐ming Poo, Jun Noritake, Masaki Fukata, Yuko Fukata and Byung Kook Lim. Their work appears in journals such as Journal of Neuroscience, The Journal of Cell Biology and Nature Neuroscience.

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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