Dae Hee Yun

833 total citations
4 papers, 104 citations indexed

About

Dae Hee Yun is a scholar working on Molecular Biology, Surgery and Genetics. According to data from OpenAlex, Dae Hee Yun has authored 4 papers receiving a total of 104 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 1 paper in Surgery and 1 paper in Genetics. Recurrent topics in Dae Hee Yun's work include Advanced Biosensing Techniques and Applications (1 paper), Neural dynamics and brain function (1 paper) and 3D Printing in Biomedical Research (1 paper). Dae Hee Yun is often cited by papers focused on Advanced Biosensing Techniques and Applications (1 paper), Neural dynamics and brain function (1 paper) and 3D Printing in Biomedical Research (1 paper). Dae Hee Yun collaborates with scholars based in United States, South Korea and Hong Kong. Dae Hee Yun's co-authors include Kwanghun Chung, Jenna M. Antonucci, Chang Ho Sohn, Lee Gehrke, Nicholas B. Evans, Paola Arlotta, Silvia Velasco, Alexandre Albanese, Justin Swaney and Taeyun Ku and has published in prestigious journals such as Neuron, Scientific Reports and Science Advances.

In The Last Decade

Dae Hee Yun

3 papers receiving 103 citations

Peers

Countries citing papers authored by Dae Hee Yun

Since Specialization

Citations

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

Fields of papers citing papers by Dae Hee Yun

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dae Hee Yun. 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 Dae Hee Yun. The network helps show where Dae Hee Yun may publish in the future.

Co-authorship network of co-authors of Dae Hee Yun

This figure shows the co-authorship network connecting the top 25 collaborators of Dae Hee Yun. A scholar is included among the top collaborators of Dae Hee Yun 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 Dae Hee Yun. Dae Hee Yun is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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4 of 4 papers shown

#	Work	Indexed citations
1	The noncoding circular RNA circHomer1 regulates synaptic development and experience-dependent plasticity in the mouse visual cortex 2025 ·iScience ·(unknown), Ying Cai, (unknown), (unknown), Keji Li, (unknown), (unknown), Chloé Delépine, (unknown), Shiyang Yuan, (unknown), Ye Wang, Yangyang Duan, Amy K.Y. Fu, Taeyun Ku, Dae Hee Yun, Kwanghun Chung, Nikolaos Mellios, Mriganka Sur, Jacque Pak Kan Ip	0
2	Differential dendritic integration of long-range inputs in association cortex via subcellular changes in synaptic AMPA-to-NMDA receptor ratio 2022 ·Neuron ·Mathieu Lafourcade, (unknown), (unknown), (unknown), Jakob Voigts, Dae Hee Yun, (unknown), Taeyun Ku, Mark T. Harnett	23
3	Epitope-preserving magnified analysis of proteome (eMAP) 2021 ·Science Advances ·Joha Park, (unknown), Dae Hee Yun, Taeyun Ku, (unknown), (unknown), Qiangge Zhang, Juhyuk Park, Guoping Feng, Elly Nedivi, Kwanghun Chung	25
4	Multiscale 3D phenotyping of human cerebral organoids 2020 ·Scientific Reports ·Alexandre Albanese, Justin Swaney, Dae Hee Yun, Nicholas B. Evans, Jenna M. Antonucci, Silvia Velasco, Chang Ho Sohn, Paola Arlotta, Lee Gehrke, Kwanghun Chung	56

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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