Young Joo Sun

529 total citations
28 papers, 351 citations indexed

About

Young Joo Sun is a scholar working on Molecular Biology, Cell Biology and Ophthalmology. According to data from OpenAlex, Young Joo Sun has authored 28 papers receiving a total of 351 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 9 papers in Cell Biology and 6 papers in Ophthalmology. Recurrent topics in Young Joo Sun's work include Retinal Development and Disorders (8 papers), Retinal Diseases and Treatments (4 papers) and Connexins and lens biology (4 papers). Young Joo Sun is often cited by papers focused on Retinal Development and Disorders (8 papers), Retinal Diseases and Treatments (4 papers) and Connexins and lens biology (4 papers). Young Joo Sun collaborates with scholars based in United States, Brazil and Canada. Young Joo Sun's co-authors include Philip W. Majerus, Monita P. Wilson, Vinit B. Mahajan, Alexander G. Bassuk, Ernesto J. Fuentes, Gabriel Velez, Yasuhiro Mochizuki, Soo Hyun Lee, Nima Aghaeepour and Jing Yang and has published in prestigious journals such as Cell, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Young Joo Sun

25 papers receiving 347 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Young Joo Sun United States 11 211 73 62 53 34 28 351
Zaheer Ali Sweden 11 149 0.7× 58 0.8× 67 1.1× 64 1.2× 40 1.2× 24 323
Michael A. Riviere United States 9 489 2.3× 58 0.8× 67 1.1× 37 0.7× 19 0.6× 12 655
David A. Scheiblin United States 10 252 1.2× 66 0.9× 32 0.5× 37 0.7× 66 1.9× 15 444
Marie‐France Counis France 9 350 1.7× 29 0.4× 41 0.7× 20 0.4× 44 1.3× 11 437
Victor G. Sendra United States 12 183 0.9× 63 0.9× 20 0.3× 114 2.2× 59 1.7× 34 460
Soon-Suk Kang South Korea 9 103 0.5× 40 0.5× 18 0.3× 74 1.4× 61 1.8× 21 374
Jia Luo China 10 252 1.2× 27 0.4× 22 0.4× 22 0.4× 54 1.6× 22 401
Elisabeth Chaudun France 8 335 1.6× 26 0.4× 45 0.7× 19 0.4× 36 1.1× 9 397
M. Katar United States 12 242 1.1× 20 0.3× 41 0.7× 27 0.5× 14 0.4× 19 320

Countries citing papers authored by Young Joo Sun

Since Specialization
Citations

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

Fields of papers citing papers by Young Joo Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Young Joo Sun. 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 Young Joo Sun. The network helps show where Young Joo Sun may publish in the future.

Co-authorship network of co-authors of Young Joo Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Young Joo Sun. A scholar is included among the top collaborators of Young Joo Sun 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 Young Joo Sun. Young Joo Sun 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
1.
Sun, Young Joo, Gina Yu, Soo Hyun Lee, et al.. (2025). Protocol to extract tear fluid for proteomics using Schirmer strips. STAR Protocols. 6(4). 104146–104146.
2.
Sun, Young Joo, Aubrey Hargrave, Maurício G. S. Costa, et al.. (2025). Enhanced genotype-phenotype analysis using multimodal adaptive optics and 3D protein structure in Bietti Crystalline Dystrophy. American Journal of Ophthalmology Case Reports. 38. 102312–102312. 1 indexed citations
3.
Sun, Young Joo, et al.. (2025). Artificial intelligence’s contribution to biomedical literature search: revolutionizing or complicating?. PLOS Digital Health. 4(5). e0000849–e0000849. 1 indexed citations
4.
Sun, Young Joo, et al.. (2024). Identification of highly potent and selective HTRA1 inhibitors. Bioorganic & Medicinal Chemistry Letters. 109. 129814–129814.
5.
Vaclavik, Veronika, et al.. (2024). Macular dystrophy in Kabuki syndrome due to de novo KMT2D variants: refining the phenotype with multimodal imaging and follow-up over 10 years: insight into pathophysiology. Graefe s Archive for Clinical and Experimental Ophthalmology. 262(6). 1737–1744. 2 indexed citations
6.
Sun, Young Joo, et al.. (2023). Unleashing the potential of CRISPR multiplexing: Harnessing Cas12 and Cas13 for precise gene modulation in eye diseases. Vision Research. 213. 108317–108317. 11 indexed citations
7.
Wolf, Julian, Young Joo Sun, Camilo Espinosa, et al.. (2023). Liquid-biopsy proteomics combined with AI identifies cellular drivers of eye aging and disease in vivo. Cell. 186(22). 4868–4884.e12. 56 indexed citations
8.
Lin, Cheng‐Hui, Young Joo Sun, Soo Hyun Lee, et al.. (2022). A protocol to inject ocular drug implants into mouse eyes. STAR Protocols. 3(1). 101143–101143. 8 indexed citations
9.
Sun, Young Joo, et al.. (2022). Calpains as mechanistic drivers and therapeutic targets for ocular disease. Trends in Molecular Medicine. 28(8). 644–661. 10 indexed citations
10.
11.
Sun, Young Joo, Gabriel Velez, Kun Li, et al.. (2021). Structure-based phylogeny identifies avoralstat as a TMPRSS2 inhibitor that prevents SARS-CoV-2 infection in mice. Journal of Clinical Investigation. 131(10). 24 indexed citations
12.
Sun, Young Joo, Cheng‐Hui Lin, Soo Hyun Lee, et al.. (2021). An intravitreal implant injection method for sustained drug delivery into mouse eyes. Cell Reports Methods. 1(8). 100125–100125. 17 indexed citations
13.
Sun, Young Joo, et al.. (2020). A physics-based energy function allows the computational redesign of a PDZ domain. Scientific Reports. 10(1). 11150–11150. 6 indexed citations
14.
Velez, Gabriel, Young Joo Sun, Jing Yang, et al.. (2020). Structural Insights into the Unique Activation Mechanisms of a Non-classical Calpain and Its Disease-Causing Variants. Cell Reports. 30(3). 881–892.e5. 16 indexed citations
15.
Arnold, Torey R., Silvia M. Goicoechea, Young Joo Sun, et al.. (2019). SGEF forms a complex with Scribble and Dlg1 and regulates epithelial junctions and contractility. The Journal of Cell Biology. 218(8). 2699–2725. 20 indexed citations
16.
Carvalho, José Ronaldo Lima de, Young Joo Sun, Sara D. Ragi, et al.. (2019). Novel mutations in the 3-box motif of the BACK domain of KLHL7 associated with nonsyndromic autosomal dominant retinitis pigmentosa. Orphanet Journal of Rare Diseases. 14(1). 295–295. 5 indexed citations
17.
Panel, Nicolas, Young Joo Sun, Ernesto J. Fuentes, & Thomas Simonson. (2017). A Simple PB/LIE Free Energy Function Accurately Predicts the Peptide Binding Specificity of the Tiam1 PDZ Domain. Frontiers in Molecular Biosciences. 4. 65–65. 9 indexed citations
18.
Liu, Xu, Tyson R. Shepherd, Young Joo Sun, et al.. (2016). Distinct Roles for Conformational Dynamics in Protein-Ligand Interactions. Structure. 24(12). 2053–2066. 19 indexed citations
19.
Sun, Young Joo, et al.. (2010). PSEUDODUPLICATION OF THE OPTIC DISK. Retinal Cases & Brief Reports. 5(2). 144–145. 6 indexed citations
20.
Sun, Young Joo, Atul Jain, & Christopher N. Ta. (2007). Aspergillus fumigatus keratitis following laser in situ keratomileusis. Journal of Cataract & Refractive Surgery. 33(10). 1806–1807. 10 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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