Ying-Wen Huang

1.8k total citations
75 papers, 1.4k citations indexed

About

Ying-Wen Huang is a scholar working on Molecular Biology, Plant Science and Oncology. According to data from OpenAlex, Ying-Wen Huang has authored 75 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Molecular Biology, 17 papers in Plant Science and 12 papers in Oncology. Recurrent topics in Ying-Wen Huang's work include Plant Virus Research Studies (16 papers), Hemoglobin structure and function (9 papers) and Protein Structure and Dynamics (7 papers). Ying-Wen Huang is often cited by papers focused on Plant Virus Research Studies (16 papers), Hemoglobin structure and function (9 papers) and Protein Structure and Dynamics (7 papers). Ying-Wen Huang collaborates with scholars based in United States, China and Taiwan. Ying-Wen Huang's co-authors include Gary K. Ackers, Yau‐Heiu Hsu, Na‐Sheng Lin, Chung‐Chi Hu, Shiow‐Lin Pan, Che‐Ming Teng, Jih‐Hwa Guh, Mont R. Juchau, Wendy J. Fantl and Ya-Ling Chang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Blood and PLoS ONE.

In The Last Decade

Ying-Wen Huang

73 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ying-Wen Huang United States 23 681 225 210 179 156 75 1.4k
Alessandra Tosco Italy 25 1.0k 1.5× 125 0.6× 160 0.8× 159 0.9× 95 0.6× 75 1.6k
Norihiro Kobayashi Japan 24 1.3k 1.9× 171 0.8× 178 0.8× 263 1.5× 120 0.8× 121 2.2k
Qiongyu Li United States 24 1.1k 1.6× 101 0.4× 185 0.9× 182 1.0× 109 0.7× 53 1.5k
Jörg J. Jacoby United States 14 908 1.3× 164 0.7× 89 0.4× 296 1.7× 189 1.2× 16 1.4k
Hui‐Chih Hung Taiwan 25 1.1k 1.7× 86 0.4× 235 1.1× 144 0.8× 94 0.6× 102 1.8k
Cheng Luo China 28 1.2k 1.7× 147 0.7× 348 1.7× 147 0.8× 110 0.7× 95 2.6k
Rao Sethumadhavan India 23 1.3k 1.8× 111 0.5× 98 0.5× 185 1.0× 210 1.3× 88 1.8k
Anjali Pandey United States 24 832 1.2× 159 0.7× 310 1.5× 267 1.5× 47 0.3× 82 2.2k
Jamshid Davoodi Iran 19 1.1k 1.6× 100 0.4× 145 0.7× 167 0.9× 93 0.6× 46 1.7k
Xiaoping Wu China 22 864 1.3× 83 0.4× 173 0.8× 185 1.0× 137 0.9× 81 1.4k

Countries citing papers authored by Ying-Wen Huang

Since Specialization
Citations

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

Fields of papers citing papers by Ying-Wen Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ying-Wen Huang. 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 Ying-Wen Huang. The network helps show where Ying-Wen Huang may publish in the future.

Co-authorship network of co-authors of Ying-Wen Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Ying-Wen Huang. A scholar is included among the top collaborators of Ying-Wen Huang 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 Ying-Wen Huang. Ying-Wen Huang 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.
Wang, Qianqian, et al.. (2025). Peptide-based CAR-NK cells: A novel strategy for the treatment of solid tumors. Biochemical Pharmacology. 232. 116741–116741. 4 indexed citations
2.
Bei, Yuncheng, et al.. (2025). A therapeutic regimen using neoantigen-specific TCR-T cells for HLA-A*2402-positive solid tumors. EMBO Molecular Medicine. 17(2). 365–383. 2 indexed citations
3.
Hu, Yixiang, et al.. (2025). Targeting pyroptosis in myocardial inflammation and fibrosis: molecular mechanisms and therapeutic strategies. APOPTOSIS. 30(9-10). 1989–2007. 1 indexed citations
4.
5.
Shi, Jing, Juan Huang, Min Tang, et al.. (2023). Gasdermin D: A Potential New Auxiliary Pan-Biomarker for the Detection and Diagnosis of Diseases. Biomolecules. 13(11). 1664–1664. 4 indexed citations
6.
Sun, Fenfen, et al.. (2023). Relationship between gray matter structure and age in children and adolescents with high-functioning autism spectrum disorder. Frontiers in Human Neuroscience. 16. 1039590–1039590. 3 indexed citations
7.
Huang, Ying-Wen, et al.. (2022). Hybrid Fluorescent Mass-Tag Nanotrackers as Universal Reagents for Long-Term Live-Cell Barcoding. Analytical Chemistry. 94(30). 10626–10635. 8 indexed citations
8.
Huang, Ying-Wen, Nai‐Wen Tsao, Chung‐Chi Hu, et al.. (2022). Characterization of Virus-Inducible Orchid Argonaute 5b Promoter and Its Functional Characterization in Nicotiana benthamiana during Virus Infection. International Journal of Molecular Sciences. 23(17). 9825–9825. 4 indexed citations
9.
Huang, Ying-Wen, et al.. (2022). Measuring trogocytosis between ovarian tumor and natural killer cells. STAR Protocols. 3(2). 101425–101425. 3 indexed citations
10.
Gonzalez, Veronica D., Ying-Wen Huang, Shih‐Yu Chen, et al.. (2021). High-grade serous ovarian tumor cells modulate NK cell function to create an immune-tolerant microenvironment. Cell Reports. 36(9). 109632–109632. 52 indexed citations
11.
Shen-Orr, Shai S., David Furman, Brian Kidd, et al.. (2016). Defective Signaling in the JAK-STAT Pathway Tracks with Chronic Inflammation and Cardiovascular Risk in Aging Humans. Cell Systems. 3(4). 374–384.e4. 108 indexed citations
12.
Yang, Haihua, You‐Zhi Zhang, Ronghuan Yu, et al.. (2015). 1α,25-Dihydroxyvitamin D3 Induces Neutrophil Apoptosis through the p38 MAPK Signaling Pathway in Chronic Obstructive Pulmonary Disease Patients. PLoS ONE. 10(4). e0120515–e0120515. 22 indexed citations
13.
He, Yi, Xudong Li, Ying-Wen Huang, et al.. (2013). Misdiagnosed myeloid sarcoma of the vulva. Chinese Medical Journal. 126(5). 984–985. 4 indexed citations
14.
Huang, Ying-Wen, Chung‐Chi Hu, Na‐Sheng Lin, & Yau‐Heiu Hsu. (2012). Unusual roles of host metabolic enzymes and housekeeping proteins in plant virus replication. Current Opinion in Virology. 2(6). 676–682. 24 indexed citations
15.
16.
Huang, Ying-Wen, et al.. (2010). 11β-Hydroxysteroid Dehydrogenase Type 1 Inhibitors as Promising Therapeutic Drugs for Diabetes: Status and Development. Current Medicinal Chemistry. 17(5). 412–422. 56 indexed citations
17.
Pan, Shiow‐Lin, Ying-Wen Huang, Jih‐Hwa Guh, et al.. (2003). Esculetin inhibits Ras-mediated cell proliferation and attenuates vascular restenosis following angioplasty in rats. Biochemical Pharmacology. 65(11). 1897–1905. 63 indexed citations
18.
Pan, Shiow‐Lin, Jih‐Hwa Guh, Ying-Wen Huang, et al.. (2002). Inhibition of Ras-Mediated Cell Proliferation by Benzyloxybenzaldehyde. Journal of Biomedical Science. 9(6). 622–630. 6 indexed citations
19.
Huang, Ying-Wen, Michael L. Doyle, & Gary K. Ackers. (1996). The oxygen-binding intermediates of human hemoglobin: evaluation of their contributions to cooperativity using zinc-containing hybrids. Biophysical Journal. 71(4). 2094–2105. 28 indexed citations
20.
Huang, Ying-Wen & Gary K. Ackers. (1996). Transformation of Cooperative Free Energies between Ligation Systems of Hemoglobin:  Resolution of the Carbon Monoxide Binding Intermediates. Biochemistry. 35(3). 704–718. 16 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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