Hung‐Yi Wu

2.5k total citations
30 papers, 1.9k citations indexed

About

Hung‐Yi Wu is a scholar working on Molecular Biology, Plant Science and Epidemiology. According to data from OpenAlex, Hung‐Yi Wu has authored 30 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 6 papers in Plant Science and 5 papers in Epidemiology. Recurrent topics in Hung‐Yi Wu's work include Hepatitis B Virus Studies (5 papers), Plant tissue culture and regeneration (5 papers) and Hepatitis C virus research (5 papers). Hung‐Yi Wu is often cited by papers focused on Hepatitis B Virus Studies (5 papers), Plant tissue culture and regeneration (5 papers) and Hepatitis C virus research (5 papers). Hung‐Yi Wu collaborates with scholars based in Taiwan, United States and United Kingdom. Hung‐Yi Wu's co-authors include Larry Kedes, Yasuo Hamamori, Vittorio Sartorelli, Erh‐Min Lai, Coralie Poizat, Christina M. Woo, Raju Jeyaseelan, Shan‐Chwen Chang, Ming‐Fu Chang and Steve Horvath and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.

In The Last Decade

Hung‐Yi Wu

28 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hung‐Yi Wu Taiwan 19 1.2k 234 193 192 183 30 1.9k
Taishan Hu China 22 880 0.7× 135 0.6× 140 0.7× 221 1.2× 134 0.7× 67 2.1k
Ya‐Hui Chi Taiwan 22 1.5k 1.2× 150 0.6× 138 0.7× 108 0.6× 175 1.0× 63 2.1k
Maulik Patel United States 25 981 0.8× 73 0.3× 139 0.7× 143 0.7× 218 1.2× 73 1.7k
Bei Yang China 27 1.9k 1.5× 211 0.9× 374 1.9× 246 1.3× 245 1.3× 80 2.7k
Vladimir Prassolov Russia 26 1.4k 1.1× 161 0.7× 286 1.5× 148 0.8× 314 1.7× 143 2.1k
Sheng-Chung Lee Taiwan 28 1.3k 1.1× 96 0.4× 168 0.9× 165 0.9× 297 1.6× 51 2.2k
Nathalie Méthot Canada 28 2.4k 1.9× 114 0.5× 506 2.6× 217 1.1× 190 1.0× 32 3.2k
Kumkum Saxena United States 10 1.4k 1.2× 227 1.0× 141 0.7× 211 1.1× 230 1.3× 16 2.2k
Maria R. Conte United Kingdom 26 1.6k 1.3× 138 0.6× 104 0.5× 89 0.5× 86 0.5× 74 2.0k
Martin D. Snider United States 29 2.7k 2.1× 159 0.7× 229 1.2× 315 1.6× 188 1.0× 49 3.5k

Countries citing papers authored by Hung‐Yi Wu

Since Specialization
Citations

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

Fields of papers citing papers by Hung‐Yi Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hung‐Yi Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Hung‐Yi Wu. A scholar is included among the top collaborators of Hung‐Yi Wu 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 Hung‐Yi Wu. Hung‐Yi Wu 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.
Wu, Hung‐Yi, et al.. (2023). Comparative transcriptome analysis of skin color-associated genes in leopard coral grouper (Plectropomus leopardus). BMC Genomics. 24(1). 5–5. 8 indexed citations
2.
Wu, Hung‐Yi, Uffe Hasbro Mortensen, Fang‐Rong Chang, & Hsin‐Yuan Tsai. (2023). Whole genome sequence characterization of Aspergillus terreus ATCC 20541 and genome comparison of the fungi A. terreus. Scientific Reports. 13(1). 194–194. 7 indexed citations
3.
Wu, Hung‐Yi & Erh‐Min Lai. (2022). AGROBEST: A Highly Efficient Agrobacterium-Mediated Transient Expression System in Arabidopsis Seedlings. Methods in molecular biology. 2379. 113–123. 3 indexed citations
4.
Flaxman, Hope A., et al.. (2019). A Binding Site Hotspot Map of the FKBP12–Rapamycin–FRB Ternary Complex by Photoaffinity Labeling and Mass Spectrometry-Based Proteomics. Journal of the American Chemical Society. 141(30). 11759–11764. 40 indexed citations
5.
Chang, Chia‐Fu, Adelphe M. Mfuh, Jinxu Gao, Hung‐Yi Wu, & Christina M. Woo. (2018). Synthesis of an electronically-tuned minimally interfering alkynyl photo-affinity label to measure small molecule–protein interactions. Tetrahedron. 74(26). 3273–3277. 18 indexed citations
6.
Yu, Manda, et al.. (2018). Stable pH Suppresses Defense Signaling and is the Key to Enhance Agrobacterium-Mediated Transient Expression in Arabidopsis Seedlings. Scientific Reports. 8(1). 17071–17071. 23 indexed citations
7.
Wu, Hung‐Yi, et al.. (2017). RecA-SSB Interaction Modulates RecA Nucleoprotein Filament Formation on SSB-Wrapped DNA. Scientific Reports. 7(1). 11876–11876. 22 indexed citations
8.
Wu, Hung‐Yi, Kun-Hsiang Liu, Jing-Fen Wu, et al.. (2014). AGROBEST: an efficient Agrobacterium-mediated transient expression method for versatile gene function analyses in Arabidopsis seedlings. Plant Methods. 10(1). 19–19. 148 indexed citations
9.
10.
Wu, Hung‐Yi, et al.. (2014). Estimation of genetic relationships among 39 cultivars of avocado (Persea americanaMill.) by analysing the volatile constituents of leaves. The Journal of Horticultural Science and Biotechnology. 89(4). 453–457. 2 indexed citations
11.
Wu, Hung‐Yi & Hung‐Wen Li. (2013). Crowding Alters the Dynamics and the Length of RecA Nucleoprotein Filaments in RecA‐Mediated Strand Exchange. ChemPhysChem. 15(1). 80–84. 2 indexed citations
12.
Chang, Shan‐Chwen, et al.. (2010). Upregulation of the Chemokine (C-C Motif) Ligand 2 via a Severe Acute Respiratory Syndrome Coronavirus Spike-ACE2 Signaling Pathway. Journal of Virology. 84(15). 7703–7712. 95 indexed citations
13.
Wu, Hung‐Yi, et al.. (2008). Secretome Analysis Uncovers an Hcp-Family Protein Secreted via a Type VI Secretion System in Agrobacterium tumefaciens. Journal of Bacteriology. 190(8). 2841–2850. 124 indexed citations
14.
Wu, Shun‐Chi, Shan‐Chwen Chang, Hung‐Yi Wu, Pei‐Ju Liao, & Ming‐Fu Chang. (2008). Hepatitis C Virus NS5A Protein Down-regulates the Expression of Spindle Gene Aspm through PKR-p38 Signaling Pathway. Journal of Biological Chemistry. 283(43). 29396–29404. 45 indexed citations
15.
Wu, Hung‐Yi. (2007). GENETIC RELATIONSHIP ESTIMATION OF TAIWAN AVOCADO CULTIVARS BY VOLATILE CONSTITUENTS OF LEAVES. 3 indexed citations
16.
Wu, Hung‐Yi, Yasuo Hamamori, Jianming Xu, et al.. (2004). Nuclear Hormone Receptor Coregulator GRIP1 Suppresses, whereas SRC1A and p/CIP Coactivate, by Domain-specific Binding of MyoD. Journal of Biological Chemistry. 280(5). 3129–3137. 18 indexed citations
17.
Iso, Tatsuya, Vittorio Sartorelli, Coralie Poizat, et al.. (2001). HERP, a Novel Heterodimer Partner of HES/E(spl) in Notch Signaling. Molecular and Cellular Biology. 21(17). 6080–6089. 182 indexed citations
18.
Hamamori, Yasuo, Hung‐Yi Wu, Vittorio Sartorelli, & Larry Kedes. (1997). The Basic Domain of Myogenic Basic Helix-Loop-Helix (bHLH) Proteins Is the Novel Target for Direct Inhibition by Another bHLH Protein, Twist. Molecular and Cellular Biology. 17(11). 6563–6573. 142 indexed citations
19.
Jeyaseelan, Raju, Coralie Poizat, Hung‐Yi Wu, & Larry Kedes. (1997). Molecular Mechanisms of Doxorubicin-induced Cardiomyopathy. Journal of Biological Chemistry. 272(9). 5828–5832. 108 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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