Kun‐Yong Kim

2.3k citations
20 papers · 1.0k indexed · 1 hit paper · h-index 15
Topics
Pluripotent Stem Cells Research (9 papers)CRISPR and Genetic Engineering (7 papers)Genetics and Neurodevelopmental Disorders (5 papers)

In The Last Decade

Kun‐Yong Kim

20 papers receiving 995 citations

Hit Papers

hESC-Derived Thalamic Organoids Form Reciprocal Projectio...20192026202120232019100200300

Peers

Kun‐Yong Kim
Comparison fields: 5 of 81
  • Molecular Biology 812
  • Genetics 247
  • Biomedical Engineering 178
  • Cellular and Molecular Neuroscience 171
  • Developmental Neuroscience 144
Replace Jonas Simon Fleck with:
Jonas Simon Fleck Switzerland
Madeline G. Andrews United States
Bruna Paulsen Brazil
Silvia Velasco United States
Ying-Jiun J. Chen United States
Nina S. Corsini Austria
Xiang-Chun Ju China
Rachel Eiges Israel
Guillaume Marcy France
Christina Kyrousi Germany
Kun‐Yong Kim relative to Jonas Simon Fleck Switzerland Jonas Simon Fleck's profile →
Citations per field
00.5×10×15×18.5×
Jonas Simon Fleck · 1×
Citations per year

Countries citing papers authored by Kun‐Yong Kim

Since Specialization
Citations

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

Fields of papers citing papers by Kun‐Yong Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kun‐Yong Kim. 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 Kun‐Yong Kim. The network helps show where Kun‐Yong Kim may publish in the future.

Co-authorship network of co-authors of Kun‐Yong Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Kun‐Yong Kim. A scholar is included among the top collaborators of Kun‐Yong Kim 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 Kun‐Yong Kim. Kun‐Yong Kim 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 3
2 63
3
hESC-Derived Thalamic Organoids Form Reciprocal Projections When Fused with Cortical Organoidsbreakdown →
324
4 30
5 22
6 45
7 17
8 15
9 30
10 31
11 27
12 38
13 14
14 7
15 56
16 5
17 93
18 169
19 1
20 21

About Kun‐Yong Kim

Kun‐Yong Kim is a scholar working on Developmental Neuroscience, Genetics and Molecular Biology, having authored 20 papers that have together received 1.0k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (9 papers), CRISPR and Genetic Engineering (7 papers) and Genetics and Neurodevelopmental Disorders (5 papers). The work is most often cited by research in Developmental Neuroscience (144 citations), Molecular Biology (812 citations) and Cellular and Molecular Neuroscience (171 citations). Kun‐Yong Kim has collaborated with scholars based in United States, South Korea and China. Frequent co-authors include In‐Hyun Park, Eriona Hysolli, Yoshiaki Tanaka, Sherman M. Weissman, Yangfei Xiang, Mei Zhong, Bilal Çakır, Benjamin Patterson, Sang-Hun Lee and Prabir Patra. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Circulation.

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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