Nagisa Arimitsu

1.1k citations
40 papers · 874 indexed · h-index 16

Nagisa Arimitsu

40 papers receiving 869 citations

Peers

Nagisa Arimitsu
Comparison fields: 5 of 83
  • Ophthalmology 165
  • Developmental Neuroscience 68
  • Cell Biology 144
  • Molecular Biology 489
  • Rheumatology 92
Replace Naruyoshi Fujiwara with:
Naruyoshi Fujiwara Japan
Sharmila Masli United States
J. Wayne Streilein United States
Marı́a C. Sánchez Argentina
Rebecca Scholz Germany
Julien Bauer United Kingdom
Ruotong Ren China
Marie‐José Melief Netherlands
R. Nick Hogan United States
Andrei V. Chernov United States
Nagisa Arimitsu relative to Naruyoshi Fujiwara Japan Naruyoshi Fujiwara's profile →
Citations per field
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Naruyoshi Fujiwara · 1×
Citations per year

Countries citing papers authored by Nagisa Arimitsu

Since Specialization
Citations

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

Fields of papers citing papers by Nagisa Arimitsu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Nagisa Arimitsu, 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 Nagisa Arimitsu Line = papers co-authored together Nagisa Arimitsu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20253
2 20237
3 20222
4 20194
5 201825
6 201856
7 201691
8 201524
9 2014104
10
Transplantation of Motor Neurons Derived from Human iPS Cells into Total Transection Model of Spinal Cord Injury in Mice
20131
11
Human iPS Cell Derived Neurons with Cortical Motor Neuron Phenotype are Relevant for Functional Recovery of Hemiplegic Mice with Injured Motor Cortex
20131
12 20097
13 200715
14 20073
15 200761
16 200635
17 200614
18 200313
19 20029
20 20004

About Nagisa Arimitsu

Nagisa Arimitsu is a scholar working on Developmental Neuroscience, Ophthalmology and Rheumatology, having authored 40 papers that have together received 874 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (8 papers), Neurogenesis and neuroplasticity mechanisms (8 papers), Ocular Diseases and Behçet’s Syndrome (6 papers), Otitis Media and Relapsing Polychondritis (5 papers), Nerve injury and regeneration (4 papers), RNA Research and Splicing (4 papers), Retinal Development and Disorders (3 papers) and Malaria Research and Control (3 papers). The work is most often cited by research in Ophthalmology (165 citations), Developmental Neuroscience (68 citations) and Cell Biology (144 citations). Nagisa Arimitsu has collaborated with scholars based in Japan, United States and Switzerland. Frequent co-authors include Jun Shimizu, Tomoko Suzuki, Noboru Suzuki, Naruyoshi Fujiwara, Sueshige Wakisaka, Kenji Takai, Yuji Ueda, Erika Takada, Katsuko Tani and Takao Kubota. Their work appears in journals such as Journal of Biological Chemistry, PLoS ONE and Molecular and Cellular Biology.

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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