Jui‐Hung Hung

4.9k total citations
71 papers, 3.6k citations indexed

About

Jui‐Hung Hung is a scholar working on Molecular Biology, Artificial Intelligence and Cancer Research. According to data from OpenAlex, Jui‐Hung Hung has authored 71 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Molecular Biology, 11 papers in Artificial Intelligence and 11 papers in Cancer Research. Recurrent topics in Jui‐Hung Hung's work include Genomics and Phylogenetic Studies (16 papers), Gene expression and cancer classification (13 papers) and RNA modifications and cancer (12 papers). Jui‐Hung Hung is often cited by papers focused on Genomics and Phylogenetic Studies (16 papers), Gene expression and cancer classification (13 papers) and RNA modifications and cancer (12 papers). Jui‐Hung Hung collaborates with scholars based in Taiwan, United States and India. Jui‐Hung Hung's co-authors include Zhiping Weng, Phillip D. Zamore, Stefan L. Ameres, Jia Xu, Jui‐Chang Chen, Huey‐wen Chuang, Charles DeLisi, Thomas G. Fazzio, Megha Ghildiyal and Michael D. Horwich and has published in prestigious journals such as Science, Cell and Nucleic Acids Research.

In The Last Decade

Jui‐Hung Hung

70 papers receiving 3.5k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jui‐Hung Hung Taiwan	25	2.8k	998	474	385	297	71	3.6k
Guohua Wang China	31	3.1k 1.1×	1.1k 1.1×	298 0.6×	275 0.7×	118 0.4×	184	3.9k
Zhijian Li China	32	3.2k 1.1×	434 0.4×	784 1.7×	277 0.7×	87 0.3×	132	4.1k
Chao Xu China	38	4.7k 1.7×	964 1.0×	527 1.1×	393 1.0×	180 0.6×	130	5.8k
Fabrizio Ferrè Italy	23	1.7k 0.6×	658 0.7×	112 0.2×	216 0.6×	134 0.5×	45	2.2k
Chittibabu Guda United States	33	2.4k 0.9×	404 0.4×	297 0.6×	450 1.2×	83 0.3×	144	3.5k
Nina C. Hubner Germany	24	3.5k 1.3×	307 0.3×	283 0.6×	374 1.0×	85 0.3×	29	4.2k
Finn Drabløs Norway	31	2.7k 0.9×	502 0.5×	253 0.5×	450 1.2×	105 0.4×	90	3.9k
Shuai Weng United States	16	3.7k 1.3×	395 0.4×	551 1.2×	1.0k 2.7×	75 0.3×	29	5.2k
Noah Ollikainen United States	17	2.3k 0.8×	618 0.6×	279 0.6×	275 0.7×	119 0.4×	27	2.8k

Countries citing papers authored by Jui‐Hung Hung

Since Specialization

Citations

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

Fields of papers citing papers by Jui‐Hung Hung

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jui‐Hung Hung. 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 Jui‐Hung Hung. The network helps show where Jui‐Hung Hung may publish in the future.

Co-authorship network of co-authors of Jui‐Hung Hung

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Huang, Chia‐Yi, Zhong Zheng, Wei Zhao, et al.. (2025). The motor neuron m6A repertoire governs neuronal homeostasis and FTO inhibition mitigates ALS symptom manifestation. Nature Communications. 16(1). 4063–4063. 2 indexed citations

Chen, Yen‐Lung, et al.. (2025). A 28nm Fully Integrated End-to-End Genome Analysis Accelerator for Next-Generation Sequencing. IEEE Transactions on Biomedical Circuits and Systems. 19(6). 1105–1119.

Hung, Jui‐Hung, et al.. (2025). Unveiling chromatin dynamics with virtual epigenome. Nature Communications. 16(1). 3491–3491. 1 indexed citations

Chen, Yen‐Lung, et al.. (2023). An FM-Index Based High-Throughput Memory-Efficient FPGA Accelerator for Paired-End Short-Read Mapping. IEEE Transactions on Biomedical Circuits and Systems. 17(6). 1331–1341. 3 indexed citations

Hung, Jui‐Hung, et al.. (2022). Associations of Chinese Herbal Medicine Use with the Risks of Acute Exacerbation and Mortality in Patients with Chronic Obstructive Pulmonary Disease: A Nationwide Retrospective Cohort Study. Journal of Integrative and Complementary Medicine. 28(1). 77–86. 3 indexed citations

Chen, Yen‐Lung, et al.. (2020). A 975-mW Fully Integrated Genetic Variant Discovery System-on-Chip in 28 nm for Next-Generation Sequencing. IEEE Journal of Solid-State Circuits. 56(1). 123–135. 7 indexed citations

Chang, Chia-Hua, et al.. (2017). A 135-mW Fully Integrated Data Processor for Next-Generation Sequencing. IEEE Transactions on Biomedical Circuits and Systems. 11(6). 1216–1225. 24 indexed citations

Han, Bo, et al.. (2015). Tailor: a computational framework for detecting non-templated tailing of small silencing RNAs. Nucleic Acids Research. 43(17). e109–e109. 27 indexed citations

Carone, Benjamin R., Jui‐Hung Hung, Sarah J. Hainer, et al.. (2014). High-Resolution Mapping of Chromatin Packaging in Mouse Embryonic Stem Cells and Sperm. Developmental Cell. 30(1). 11–22. 173 indexed citations

10.

Hung, Jui‐Hung, et al.. (2014). Impacts of size and shape of silver nanoparticles on Arabidopsis plant growth and gene expression. Plant Physiology and Biochemistry. 83. 57–64. 321 indexed citations

11.

Yıldırım, Özlem, et al.. (2014). A System for Genome-Wide Histone Variant Dynamics In ES Cells Reveals Dynamic MacroH2A2 Replacement at Promoters. PLoS Genetics. 10(8). e1004515–e1004515. 20 indexed citations

12.

Chou, Chih‐Hung, Sheng‐Da Hsu, Tzu‐Hao Chang, et al.. (2013). A computational approach for identifying microRNA-target interactions using high-throughput CLIP and PAR-CLIP sequencing. BMC Genomics. 14(S1). S2–S2. 91 indexed citations

13.

Shigemizu, Daichi, Zhenjun Hu, Jui‐Hung Hung, et al.. (2012). Using Functional Signatures to Identify Repositioned Drugs for Breast, Myelogenous Leukemia and Prostate Cancer. PLoS Computational Biology. 8(2). e1002347–e1002347. 54 indexed citations

14.

Fukunaga, Ryuya, Bo Han, Jui‐Hung Hung, et al.. (2012). Dicer Partner Proteins Tune the Length of Mature miRNAs in Flies and Mammals. Cell. 151(3). 533–546. 158 indexed citations

15.

Hung, Jui‐Hung. (2012). Gene Set/Pathway Enrichment Analysis. Methods in molecular biology. 939. 201–213. 33 indexed citations

16.

Kon, Mark, et al.. (2011). Combinations of newly confirmed Glioma-Associated loci link regions on chromosomes 1 and 9 to increased disease risk. BMC Medical Genomics. 4(1). 63–63. 17 indexed citations

17.

Han, Bo, Jui‐Hung Hung, Zhiping Weng, Phillip D. Zamore, & Stefan L. Ameres. (2011). The 3′-to-5′ Exoribonuclease Nibbler Shapes the 3′ Ends of MicroRNAs Bound to Drosophila Argonaute1. Current Biology. 21(22). 1878–1887. 132 indexed citations

18.

Ameres, Stefan L., Michael D. Horwich, Jui‐Hung Hung, et al.. (2010). Target RNA–Directed Trimming and Tailing of Small Silencing RNAs. Science. 328(5985). 1534–1539. 461 indexed citations

19.

Xie, Jun, Qing Xie, Hongwei Zhang, et al.. (2010). MicroRNA-regulated, Systemically Delivered rAAV9: A Step Closer to CNS-restricted Transgene Expression. Molecular Therapy. 19(3). 526–535. 133 indexed citations

20.

Hwang, Howook, Thom Vreven, Brian G. Pierce, Jui‐Hung Hung, & Zhiping Weng. (2010). Performance of ZDOCK and ZRANK in CAPRI rounds 13–19. Proteins Structure Function and Bioinformatics. 78(15). 3104–3110. 65 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.

Explore authors with similar magnitude of impact