Naoshi Koide

642 citations
15 papers · 342 · h-index 9

Impact in

Papers in

Naoshi Koide

15 papers receiving 337 citations

Peers

Naoshi Koide
Comparison fields: 5 of 63
  • Endocrine and Autonomic Systems 52
  • Ophthalmology 63
  • Aging 11
  • Cellular and Molecular Neuroscience 108
  • Molecular Biology 208
Replace Jang-Hyeon Cho with:
Jang-Hyeon Cho United States
Christina Lange Switzerland
Zhao-Zhe Hao China
R. Wen United States
Miguel Marchena Spain
Cristina Petrucci Italy
M.C. Sánchez-Migallón Spain
Benjamin J. Yungher United States
Ioan M Cosma United States
Kevin Eade United States
Naoshi Koide relative to Jang-Hyeon Cho United States Jang-Hyeon Cho's profile →
Citations per field
00.5×8.7×
Jang-Hyeon Cho · 1×
Citations per year

Countries citing papers authored by Naoshi Koide

Since Specialization
Citations

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

Fields of papers citing papers by Naoshi Koide

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 201879
2 201660
3 201151
4 201533
5 201931
6 202024
7 202017
8 201014
9 20229
10
Establishment and optimal culture conditions of microrna-induced pluripotent stem cells generated from HEK293 cells via transfection of microrna-302s expression vector.
20128
11 20196
12 20084
13
Polarization-sensitive swept-source OCT imaging of retinal pigment epithelium and subretinal fibrous tissues
20182
14 20082
15 20202

About Naoshi Koide

Naoshi Koide is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Biomedical Engineering, Developmental Neuroscience and Surgery, having authored 15 papers that have together received 342 indexed citations. Recurring topics across this work include Retinal Development and Disorders (4 papers), Optical Coherence Tomography Applications (3 papers), Nerve injury and regeneration (3 papers), Neuroscience and Neural Engineering (3 papers), Neurogenesis and neuroplasticity mechanisms (3 papers), Signaling Pathways in Disease (2 papers), Pluripotent Stem Cells Research (2 papers) and CRISPR and Genetic Engineering (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (52 citations), Ophthalmology (63 citations), Aging (11 citations), Cellular and Molecular Neuroscience (108 citations) and Molecular Biology (208 citations). Naoshi Koide has collaborated with scholars based in Japan and United Kingdom. Frequent co-authors include Masayo Takahashi, Michiko Mandai, Kenji Kadomatsu, Mototsugu Eiraku, Atsushi Kuwahara, Satoshi Kishida, Ichiro Takeuchi, Ping Mu, Ryohei Narumi and Etsuo A. Susaki. Their work appears in journals such as Scientific Reports, Cell Biology International, Current Eye Research, Stem Cell Reports and Investigative Ophthalmology & Visual Science.

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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