Sung Un Huh

2.2k total citations · 1 hit paper
30 papers, 1.6k citations indexed

About

Sung Un Huh is a scholar working on Plant Science, Molecular Biology and Epidemiology. According to data from OpenAlex, Sung Un Huh has authored 30 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Plant Science, 15 papers in Molecular Biology and 4 papers in Epidemiology. Recurrent topics in Sung Un Huh's work include Plant-Microbe Interactions and Immunity (21 papers), Plant Virus Research Studies (9 papers) and Plant Gene Expression Analysis (8 papers). Sung Un Huh is often cited by papers focused on Plant-Microbe Interactions and Immunity (21 papers), Plant Virus Research Studies (9 papers) and Plant Gene Expression Analysis (8 papers). Sung Un Huh collaborates with scholars based in South Korea, United Kingdom and United States. Sung Un Huh's co-authors include Kyung-Hee Paek, Hitoshi Sakakibara, Jaemyung Choi, Mikiko Kojima, Ildoo Hwang, Kyung‐Hee Paek, Yan Ma, Zane Duxbury, Jonathan D. G. Jones and Panagiotis F. Sarris and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Neuroscience.

In The Last Decade

Sung Un Huh

29 papers receiving 1.6k citations

Hit Papers

A Plant Immune Receptor Detects Pathogen Effectors that T... 2015 2026 2018 2022 2015 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A Plant Immune Receptor Detects Pathogen Effectors that Target WRKY Transcription Factors
    2015 403 citations Panagiotis F. Sarris, Zane Duxbury et al. Cell profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sung Un Huh South Korea 18 1.4k 623 80 63 57 30 1.6k
Tongjun Sun Canada 16 1.8k 1.3× 704 1.1× 108 1.4× 54 0.9× 84 1.5× 22 2.0k
Raul Zavaliev United States 12 1.1k 0.8× 483 0.8× 65 0.8× 40 0.6× 53 0.9× 13 1.3k
Lennart Wirthmueller United Kingdom 17 1.6k 1.1× 646 1.0× 120 1.5× 63 1.0× 38 0.7× 23 1.8k
Meenu S. Padmanabhan United States 13 1.3k 0.9× 501 0.8× 57 0.7× 57 0.9× 112 2.0× 15 1.4k
Frederikke Gro Malinovsky Denmark 15 1.9k 1.3× 774 1.2× 148 1.9× 44 0.7× 57 1.0× 15 2.1k
Jacqueline Monaghan Canada 20 2.2k 1.6× 1.0k 1.6× 129 1.6× 54 0.9× 56 1.0× 35 2.5k
Milena Roux United Kingdom 11 2.0k 1.4× 620 1.0× 216 2.7× 71 1.1× 42 0.7× 13 2.2k
Nicholas Holton United Kingdom 16 1.9k 1.4× 748 1.2× 111 1.4× 83 1.3× 118 2.1× 21 2.1k
Ahmed Abd‐El‐Haliem Netherlands 15 1.1k 0.8× 365 0.6× 110 1.4× 81 1.3× 87 1.5× 18 1.2k
Zhendong Tian China 26 1.8k 1.3× 690 1.1× 202 2.5× 44 0.7× 54 0.9× 74 2.0k

Countries citing papers authored by Sung Un Huh

Since Specialization
Citations

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

Fields of papers citing papers by Sung Un Huh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sung Un Huh. 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 Sung Un Huh. The network helps show where Sung Un Huh may publish in the future.

Co-authorship network of co-authors of Sung Un Huh

This figure shows the co-authorship network connecting the top 25 collaborators of Sung Un Huh. A scholar is included among the top collaborators of Sung Un Huh 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 Sung Un Huh. Sung Un Huh 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.
Huh, Sung Un, et al.. (2024). Members of the Capsicum annuum CaTrxh Family Respond to High Temperature and Exhibit Dynamic Hetero/Homo Interactions. International Journal of Molecular Sciences. 25(3). 1729–1729. 1 indexed citations
2.
3.
Huh, Sung Un. (2022). Novel Functions of Arabidopsis Pumilio RNA-Binding Protein 6 in Salt Stress. Agronomy. 12(10). 2410–2410. 3 indexed citations
4.
5.
Huh, Sung Un. (2021). The Role of Pumilio RNA Binding Protein in Plants. Biomolecules. 11(12). 1851–1851. 10 indexed citations
6.
Duxbury, Zane, Shanshan Wang, Jeannette L. Tenthorey, et al.. (2020). Induced proximity of a TIR signaling domain on a plant-mammalian NLR chimera activates defense in plants. Proceedings of the National Academy of Sciences. 117(31). 18832–18839. 56 indexed citations
7.
Huh, Sung Un, Volkan Çevik, Pingtao Ding, et al.. (2017). Protein-protein interactions in the RPS4/RRS1 immune receptor complex. PLoS Pathogens. 13(5). e1006376–e1006376. 97 indexed citations
8.
Duxbury, Zane, Yan Ma, Oliver J. Furzer, et al.. (2016). Pathogen perception by NLRs in plants and animals: Parallel worlds. BioEssays. 38(8). 769–781. 70 indexed citations
9.
Sarris, Panagiotis F., Zane Duxbury, Sung Un Huh, et al.. (2015). A Plant Immune Receptor Detects Pathogen Effectors that Target WRKY Transcription Factors. Cell. 161(5). 1089–1100. 403 indexed citations breakdown →
10.
11.
Huh, Sung Un & Kyung‐Hee Paek. (2014). APUM5, encoding a Pumilio RNA binding protein, negatively regulates abiotic stress responsive gene expression. BMC Plant Biology. 14(1). 75–75. 43 indexed citations
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13.
Huh, Sung Un & Kyung‐Hee Paek. (2013). Plant RNA binding proteins for control of RNA virus infection. Frontiers in Physiology. 4. 397–397. 30 indexed citations
14.
Huh, Sung Un, et al.. (2012). ATAF2, a NAC Transcription Factor, Binds to the Promoter and Regulates NIT2 Gene Expression Involved in Auxin Biosynthesis. Molecules and Cells. 34(3). 305–314. 55 indexed citations
15.
Huh, Sung Un, Min Jung Kim, & Kyung-Hee Paek. (2012). ArabidopsisPumilio protein APUM5 suppressesCucumber mosaic virusinfection via direct binding of viral RNAs. Proceedings of the National Academy of Sciences. 110(2). 779–784. 45 indexed citations
16.
17.
Huh, Sung Un, Min Jung Kim, Byung‐Kook Ham, & Kyung‐Hee Paek. (2011). A zinc finger protein Tsip1 controlsCucumber mosaic virusinfection by interacting with the replication complex on vacuolar membranes of the tobacco plant. New Phytologist. 191(3). 746–762. 22 indexed citations
18.
Huh, Sung Un, Ki-Jeong Kim, & Kyung-Hee Paek. (2011). Capsicum annuum basic transcription factor 3 (CaBtf3) regulates transcription of pathogenesis-related genes during hypersensitive response upon Tobacco mosaic virus infection. Biochemical and Biophysical Research Communications. 417(2). 910–917. 27 indexed citations
19.
Park, Chang-Jin, et al.. (2011). Capsicum annuum WRKYb transcription factor that binds to the CaPR-10 promoter functions as a positive regulator in innate immunity upon TMV infection. Biochemical and Biophysical Research Communications. 411(3). 613–619. 36 indexed citations
20.
Choi, Jaemyung, Sung Un Huh, Mikiko Kojima, et al.. (2010). The Cytokinin-Activated Transcription Factor ARR2 Promotes Plant Immunity via TGA3/NPR1-Dependent Salicylic Acid Signaling in Arabidopsis. Developmental Cell. 19(2). 284–295. 345 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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