Shin‐ichi Kuno

639 total citations
27 papers, 547 citations indexed

About

Shin‐ichi Kuno is a scholar working on Molecular Biology, Organic Chemistry and Ophthalmology. According to data from OpenAlex, Shin‐ichi Kuno has authored 27 papers receiving a total of 547 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 4 papers in Organic Chemistry and 4 papers in Ophthalmology. Recurrent topics in Shin‐ichi Kuno's work include Retinal Diseases and Treatments (4 papers), Biochemical and Molecular Research (3 papers) and Luminescence and Fluorescent Materials (3 papers). Shin‐ichi Kuno is often cited by papers focused on Retinal Diseases and Treatments (4 papers), Biochemical and Molecular Research (3 papers) and Luminescence and Fluorescent Materials (3 papers). Shin‐ichi Kuno collaborates with scholars based in Japan, United Kingdom and Nepal. Shin‐ichi Kuno's co-authors include Hideya Yuasa, Hiroyuki Ohtani, Naoshi Kondo, Akira Negi, Shigeru Honda, Seiichiro Ogawa, Takashi Kanamori, Ikuo Yasumasu, Toshio Kitao and Atsushi Takahashi and has published in prestigious journals such as Diabetes Care, Biochemical and Biophysical Research Communications and Ophthalmology.

In The Last Decade

Shin‐ichi Kuno

26 papers receiving 539 citations

Peers

Shin‐ichi Kuno
Comparison fields: 5 of 80
  • Materials Chemistry 242
  • Electrical and Electronic Engineering 161
  • Spectroscopy 113
  • Molecular Biology 111
  • Ophthalmology 110
Replace Songtian Che with:
Songtian Che China
Michael Beck United States
Yuanlin Zhang China
Jin Gong China
Alexander N. Vaneev Russia
R. van Wijk Netherlands
Thomas Wai-Yip Lee Hong Kong
Akira Ohtori Japan
Songtian Che China View profile →
Citations per field, relative to Shin‐ichi Kuno
Shin‐ichi Kuno · 1×
Citations per year, relative to Shin‐ichi Kuno
Shin‐ichi Kuno · 1×

Countries citing papers authored by Shin‐ichi Kuno

Since Specialization
Citations

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

Fields of papers citing papers by Shin‐ichi Kuno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shin‐ichi Kuno. 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 Shin‐ichi Kuno. The network helps show where Shin‐ichi Kuno may publish in the future.

Co-authorship network of co-authors of Shin‐ichi Kuno

This figure shows the co-authorship network connecting the top 25 collaborators of Shin‐ichi Kuno. A scholar is included among the top collaborators of Shin‐ichi Kuno 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 Shin‐ichi Kuno. Shin‐ichi Kuno 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
# Work Indexed citations
1 0
2 71
3 17
4 11
5
Coding variant Met72Thr in the PEDF gene and risk of neovascular age-related macular degeneration and polypoidal choroidal vasculopathy.
15
6 22
7 21
8 15
9 25
10 12
11 3
12 5
13 11
14 2
15 1
16 4
17 2
18 6
19 10
20
Binding activity and autophosphorylation of the insulin receptor from patients with myotonic dystrophy.
10

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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