Jun‐Gyo Suh

2.1k citations
84 papers · 1.7k indexed · h-index 19
Topics
Neuroscience and Neuropharmacology Research (15 papers)Hearing, Cochlea, Tinnitus, Genetics (8 papers)Silk-based biomaterials and applications (7 papers)
Journals
NeuronNature GeneticsSHILAP Revista de lepidopterología

In The Last Decade

Jun‐Gyo Suh

83 papers receiving 1.7k citations

Peers

Jun‐Gyo Suh
Comparison fields: 5 of 106
  • Molecular Biology 917
  • Cellular and Molecular Neuroscience 602
  • Physiology 223
  • Neurology 221
  • Cell Biology 193
Replace Kuniko Shimazaki with:
Kuniko Shimazaki Japan
Bruce A. Hamilton United States
María de los Ángeles García Chile
Laura Lossi Italy
Emilio Casanova Austria
Kenneth W. Young United Kingdom
Marina Quartu Italy
Roberta Possenti Italy
Gunnar P.H. Dietz Germany
Joanna C. Bakowska United States
Jun‐Gyo Suh relative to Kuniko Shimazaki Japan Kuniko Shimazaki's profile →
Citations per field
00.5×1.6×
Kuniko Shimazaki · 1×
Citations per year

Countries citing papers authored by Jun‐Gyo Suh

Since Specialization
Citations

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

Fields of papers citing papers by Jun‐Gyo Suh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jun‐Gyo Suh. 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 Jun‐Gyo Suh. The network helps show where Jun‐Gyo Suh may publish in the future.

Co-authorship network of co-authors of Jun‐Gyo Suh

This figure shows the co-authorship network connecting the top 25 collaborators of Jun‐Gyo Suh. A scholar is included among the top collaborators of Jun‐Gyo Suh 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 Jun‐Gyo Suh. Jun‐Gyo Suh 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 1
2 13
3 1
4 13
5 16
6 6
7 7
8 10
9 15
10 19
11 6
12 4
13 12
14 6
15 29
16 15
17 14
18
Spontaneously pancreatic changes in diabetic WBN/Kob rats
0
19 34
20 7

About Jun‐Gyo Suh

Jun‐Gyo Suh is a scholar working on Sensory Systems, Neurology and Cellular and Molecular Neuroscience, having authored 84 papers that have together received 1.7k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (15 papers), Hearing, Cochlea, Tinnitus, Genetics (8 papers) and Silk-based biomaterials and applications (7 papers). The work is most often cited by research in Developmental Neuroscience (164 citations), Cellular and Molecular Neuroscience (602 citations) and Neurology (221 citations). Jun‐Gyo Suh has collaborated with scholars based in South Korea, Japan and United States. Frequent co-authors include Keiji Wada, Toshiyuki Yamanishi, Kazumasa Saigoh, Tateki Kikuchi, Yulai Wang, Shigeharu Wakana, Hidenori Kiyosawa, Yoshihisa Sakai, Takayuki Harada and Nobutsune Ichihara. Their work appears in journals such as Neuron, Nature Genetics and SHILAP Revista de lepidopterología.

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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