Juyoun Yoo

617 total citations
9 papers, 336 citations indexed

About

Juyoun Yoo is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cell Biology. According to data from OpenAlex, Juyoun Yoo has authored 9 papers receiving a total of 336 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Cellular and Molecular Neuroscience and 3 papers in Cell Biology. Recurrent topics in Juyoun Yoo's work include Neurobiology and Insect Physiology Research (5 papers), Retinal Development and Disorders (4 papers) and Genetics and Neurodevelopmental Disorders (2 papers). Juyoun Yoo is often cited by papers focused on Neurobiology and Insect Physiology Research (5 papers), Retinal Development and Disorders (4 papers) and Genetics and Neurodevelopmental Disorders (2 papers). Juyoun Yoo collaborates with scholars based in United States, South Korea and United Kingdom. Juyoun Yoo's co-authors include S Lawrence Zipursky, Yerbol Z. Kurmangaliyev, Bong‐Kiun Kaang, Piero Sanfilippo, Javier Valdés-Alemán, Samuel A. LoCascio, Joseph Bakes, Clarrisa A. Bradley, Graham L. Collingridge and TaeHyun Kim and has published in prestigious journals such as Neuron, Current Biology and Scientific Reports.

In The Last Decade

Juyoun Yoo

9 papers receiving 334 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Juyoun Yoo United States 9 221 169 76 64 45 9 336
Carlo NG Giachello United Kingdom 11 229 1.0× 168 1.0× 38 0.5× 39 0.6× 59 1.3× 16 417
Linda Vercammen Belgium 8 475 2.1× 204 1.2× 47 0.6× 79 1.2× 19 0.4× 8 652
Richard Faville Australia 10 188 0.9× 87 0.5× 90 1.2× 59 0.9× 31 0.7× 12 354
Mario R. Pagani Argentina 9 136 0.6× 116 0.7× 49 0.6× 25 0.4× 21 0.5× 11 314
Mehmet Neset Özel United States 8 266 1.2× 249 1.5× 26 0.3× 28 0.4× 136 3.0× 11 445
Julie S. Jacobs United States 9 206 0.9× 123 0.7× 22 0.3× 69 1.1× 49 1.1× 12 403
Alfonso Martín‐Peña United States 8 193 0.9× 110 0.7× 19 0.3× 63 1.0× 50 1.1× 12 310
David J. Speca United States 8 319 1.4× 243 1.4× 22 0.3× 57 0.9× 39 0.9× 12 489
Anna N. King United States 8 232 1.0× 148 0.9× 37 0.5× 47 0.7× 41 0.9× 10 360
Sunhoe Bang South Korea 11 582 2.6× 170 1.0× 48 0.6× 148 2.3× 48 1.1× 13 813

Countries citing papers authored by Juyoun Yoo

Since Specialization
Citations

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

Fields of papers citing papers by Juyoun Yoo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Juyoun Yoo

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

All Works

9 of 9 papers shown
1.
Sanfilippo, Piero, Alexander Kim, Anuradha Bhukel, et al.. (2024). Mapping of multiple neurotransmitter receptor subtypes and distinct protein complexes to the connectome. Neuron. 112(6). 942–958.e13. 10 indexed citations
2.
Yoo, Juyoun, et al.. (2023). Brain wiring determinants uncovered by integrating connectomes and transcriptomes. Current Biology. 33(18). 3998–4005.e6. 11 indexed citations
3.
Kurmangaliyev, Yerbol Z., Juyoun Yoo, Javier Valdés-Alemán, Piero Sanfilippo, & S Lawrence Zipursky. (2020). Transcriptional Programs of Circuit Assembly in the Drosophila Visual System. Neuron. 108(6). 1045–1057.e6. 82 indexed citations
4.
Kurmangaliyev, Yerbol Z., Juyoun Yoo, Samuel A. LoCascio, & S Lawrence Zipursky. (2019). Modular transcriptional programs separately define axon and dendrite connectivity. eLife. 8. 45 indexed citations
5.
Xu, Shuwa, Qi Xiao, Alina P. Sergeeva, et al.. (2018). Interactions between the Ig-Superfamily Proteins DIP-α and Dpr6/10 Regulate Assembly of Neural Circuits. Neuron. 100(6). 1369–1384.e6. 49 indexed citations
6.
Kim, Somi, TaeHyun Kim, Hye‐Ryeon Lee, et al.. (2016). Impaired learning and memory in CD38 null mutant mice. Molecular Brain. 9(1). 16–16. 47 indexed citations
7.
Ko, Hyoung‐Gon, Ji‐il Kim, TaeHyun Kim, et al.. (2016). The role of nuclear PKMζ in memory maintenance. Neurobiology of Learning and Memory. 135. 50–56. 17 indexed citations
8.
Yu, Nam‐Kyung, Hyoung F. Kim, Jae-Hoon Shim, et al.. (2016). A transducible nuclear/nucleolar protein, mLLP, regulates neuronal morphogenesis and synaptic transmission. Scientific Reports. 6(1). 22892–22892. 14 indexed citations
9.
Yoo, Juyoun, Joseph Bakes, Clarrisa A. Bradley, Graham L. Collingridge, & Bong‐Kiun Kaang. (2013). Shank mutant mice as an animal model of autism. Philosophical Transactions of the Royal Society B Biological Sciences. 369(1633). 20130143–20130143. 61 indexed citations

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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