Sun Hur

7.8k total citations · 3 hit papers
58 papers, 5.0k citations indexed

About

Sun Hur is a scholar working on Molecular Biology, Immunology and Cancer Research. According to data from OpenAlex, Sun Hur has authored 58 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Molecular Biology, 42 papers in Immunology and 8 papers in Cancer Research. Recurrent topics in Sun Hur's work include interferon and immune responses (35 papers), RNA regulation and disease (23 papers) and Immune Response and Inflammation (15 papers). Sun Hur is often cited by papers focused on interferon and immune responses (35 papers), RNA regulation and disease (23 papers) and Immune Response and Inflammation (15 papers). Sun Hur collaborates with scholars based in United States, China and France. Sun Hur's co-authors include Bin Wu, Alys Peisley, Sadeem Ahmad, Thomas Walz, Y. Grace Chen, Xin Mu, Andrea Ablasser, Cristhian Cadena, Hui Yao and Emily Greenwald and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Sun Hur

57 papers receiving 4.9k citations

Hit Papers

N6-Methyladenosine Modification Controls Circular RNA Imm... 2019 2026 2021 2023 2019 2021 2022 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sun Hur United States 34 3.4k 2.9k 762 606 491 58 5.0k
Stacy M. Horner United States 34 2.7k 0.8× 1.2k 0.4× 830 1.1× 506 0.8× 870 1.8× 61 4.4k
Joseph Marcotrigiano United States 31 3.1k 0.9× 1.5k 0.5× 428 0.6× 706 1.2× 1.6k 3.2× 56 5.7k
Sandy D. Der Canada 28 1.8k 0.5× 2.2k 0.7× 616 0.8× 397 0.7× 616 1.3× 39 4.4k
Richard Wubbolts Netherlands 35 3.2k 0.9× 1.4k 0.5× 690 0.9× 329 0.5× 483 1.0× 59 5.2k
Tuo Li United States 15 3.3k 1.0× 4.5k 1.5× 494 0.6× 1.6k 2.6× 954 1.9× 27 5.9k
Tatsuaki Mizutani Japan 15 1.3k 0.4× 3.6k 1.2× 513 0.7× 416 0.7× 744 1.5× 29 4.9k
William M. Schneider United States 20 1.6k 0.5× 2.2k 0.7× 237 0.3× 1.4k 2.2× 943 1.9× 33 4.4k
Toru Okamoto Japan 37 1.8k 0.5× 860 0.3× 324 0.4× 706 1.2× 1.0k 2.1× 123 4.0k
Sha-Mei Liao United States 10 1.5k 0.5× 2.0k 0.7× 563 0.7× 368 0.6× 364 0.7× 18 3.2k
Christine Chable-Bessia France 16 2.1k 0.6× 1.7k 0.6× 977 1.3× 773 1.3× 748 1.5× 20 4.2k

Countries citing papers authored by Sun Hur

Since Specialization
Citations

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

Fields of papers citing papers by Sun Hur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sun Hur

This figure shows the co-authorship network connecting the top 25 collaborators of Sun Hur. A scholar is included among the top collaborators of Sun Hur 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 Sun Hur. Sun Hur 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.
Ahmad, Sadeem, Tao Zou, Linlin Zhao, et al.. (2025). PACT prevents aberrant activation of PKR by endogenous dsRNA without sequestration. Nature Communications. 16(1). 3325–3325. 4 indexed citations
2.
Zhang, Qianxia, et al.. (2024). Mechanism for controlled assembly of transcriptional condensates by Aire. Nature Immunology. 25(9). 1580–1592. 4 indexed citations
3.
Cadena, Cristhian, Sadeem Ahmad, Haitao Wang, et al.. (2023). Stress granules are shock absorbers that prevent excessive innate immune responses to dsRNA. Molecular Cell. 83(7). 1180–1196.e8. 74 indexed citations
4.
Léon, Juliette, Kaitavjeet Chowdhary, Wenxiang Zhang, et al.. (2023). Mutations from patients with IPEX ported to mice reveal different patterns of FoxP3 and Treg dysfunction. Cell Reports. 42(8). 113018–113018. 12 indexed citations
5.
Zhang, Wenxiang, Ricardo N. Ramírez, Juliette Léon, et al.. (2022). The transcription factor FoxP3 can fold into two dimerization states with divergent implications for regulatory T cell function and immune homeostasis. Immunity. 55(8). 1354–1369.e8. 20 indexed citations
6.
Xue, Miaoge, Yuexiu Zhang, Haitao Wang, et al.. (2021). Viral RNA N6-methyladenosine modification modulates both innate and adaptive immune responses of human respiratory syncytial virus. PLoS Pathogens. 17(12). e1010142–e1010142. 27 indexed citations
7.
Lu, Mijia, Miaoge Xue, Haitao Wang, et al.. (2021). Nonsegmented Negative-Sense RNA Viruses Utilize N 6 -Methyladenosine (m 6 A) as a Common Strategy To Evade Host Innate Immunity. Journal of Virology. 95(9). 37 indexed citations
8.
Chen, Y. Grace & Sun Hur. (2021). Cellular origins of dsRNA, their recognition and consequences. Nature Reviews Molecular Cell Biology. 23(4). 286–301. 233 indexed citations breakdown →
9.
Wu, Bin, Sehoon Park, Darren Yang, et al.. (2020). Dual functions of Aire CARD multimerization in the transcriptional regulation of T cell tolerance. Nature Communications. 11(1). 1625–1625. 21 indexed citations
10.
Kato, Kazuki, Sadeem Ahmad, Zixiang Zhu, et al.. (2020). Structural analysis of RIG-I-like receptors reveals ancient rules of engagement between diverse RNA helicases and TRIM ubiquitin ligases. Molecular Cell. 81(3). 599–613.e8. 59 indexed citations
11.
Cadena, Cristhian & Sun Hur. (2019). Filament-like Assemblies of Intracellular Nucleic Acid Sensors: Commonalities and Differences. Molecular Cell. 76(2). 243–254. 26 indexed citations
12.
Ablasser, Andrea & Sun Hur. (2019). Regulation of cGAS- and RLR-mediated immunity to nucleic acids. Nature Immunology. 21(1). 17–29. 240 indexed citations
13.
Cadena, Cristhian & Sun Hur. (2017). Antiviral Immunity and Circular RNA: No End in Sight. Molecular Cell. 67(2). 163–164. 43 indexed citations
14.
Hur, Sun. (2015). Molecular Mechanisms of Viral RNA Detection: RIG-I and MDA5. Biophysical Journal. 108(2). 335a–335a. 1 indexed citations
15.
Hur, Sun, et al.. (2014). Effect of community health center exercise class program on body composition, physical fitness and blood components in elderly women. Korean Journal of Sports Science. 23(4). 891–900. 1 indexed citations
16.
Wu, Bin, Alys Peisley, Zongli Li, et al.. (2014). Molecular Imprinting as a Signal-Activation Mechanism of the Viral RNA Sensor RIG-I. Molecular Cell. 55(4). 511–523. 194 indexed citations
17.
Wu, Bin & Sun Hur. (2013). Viral counterattack against the host innate immune system. Cell Research. 23(6). 735–736. 3 indexed citations
18.
Peisley, Alys, Bin Wu, Hui Yao, Thomas Walz, & Sun Hur. (2013). RIG-I Forms Signaling-Competent Filaments in an ATP-Dependent, Ubiquitin-Independent Manner. Molecular Cell. 51(5). 573–583. 178 indexed citations
19.
Jo, Myung Hyun, et al.. (2013). Kinetic Mechanism for Viral DSRNA Length Discrimination by MDA5 Filaments. Biophysical Journal. 104(2). 420a–420a. 4 indexed citations
20.
Peisley, Alys & Sun Hur. (2012). Multi-level regulation of cellular recognition of viral dsRNA. Cellular and Molecular Life Sciences. 70(11). 1949–1963. 32 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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