Yu Hung

528 total citations
11 papers, 404 citations indexed

About

Yu Hung is a scholar working on Molecular Biology, Cell Biology and Immunology. According to data from OpenAlex, Yu Hung has authored 11 papers receiving a total of 404 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Cell Biology and 4 papers in Immunology. Recurrent topics in Yu Hung's work include Cellular transport and secretion (4 papers), Phagocytosis and Immune Regulation (3 papers) and Phytochemicals and Antioxidant Activities (2 papers). Yu Hung is often cited by papers focused on Cellular transport and secretion (4 papers), Phagocytosis and Immune Regulation (3 papers) and Phytochemicals and Antioxidant Activities (2 papers). Yu Hung collaborates with scholars based in Australia, Taiwan and United States. Yu Hung's co-authors include Jennifer L. Stow, Adam A. Wall, David R. Thompson, Lin Luo, G. S. Huang, V. Sava, Gwendolyn Lawrie, Susan Rowland, Zhijian Xiao and Peter D. Sly and has published in prestigious journals such as Journal of Biological Chemistry, Current Opinion in Cell Biology and Cell Reports.

In The Last Decade

Yu Hung

11 papers receiving 393 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yu Hung Australia	9	146	88	71	70	46	11	404
Yuting Xu China	12	167 1.1×	27 0.3×	51 0.7×	52 0.7×	4 0.1×	38	370
Minjeong Kang South Korea	12	295 2.0×	32 0.4×	122 1.7×	16 0.2×	9 0.2×	27	494
Ross C. Anderson United Kingdom	11	228 1.6×	18 0.2×	21 0.3×	9 0.1×	4 0.1×	24	387
Hilary MacQueen United Kingdom	11	242 1.7×	84 1.0×	69 1.0×	29 0.4×		24	516
Maciej Szmidt Poland	16	204 1.4×	22 0.3×	115 1.6×	13 0.2×	5 0.1×	27	777
Naina K. Shah United States	7	268 1.8×	39 0.4×	8 0.1×	46 0.7×	7 0.2×	9	546
V. Tomášek Czechia	11	332 2.3×	38 0.4×	35 0.5×	14 0.2×	10 0.2×	34	485
Р. С. Фадеев Russia	16	284 1.9×	29 0.3×	38 0.5×	39 0.6×	4 0.1×	71	587
Masakazu Hachisu Japan	14	329 2.3×	86 1.0×	64 0.9×	20 0.3×	4 0.1×	40	535
FU Ying-hua China	10	169 1.2×	8 0.1×	17 0.2×	85 1.2×	30 0.7×	17	451

Countries citing papers authored by Yu Hung

Since Specialization

Citations

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

Fields of papers citing papers by Yu Hung

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu Hung

This figure shows the co-authorship network connecting the top 25 collaborators of Yu Hung. A scholar is included among the top collaborators of Yu 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 Yu Hung. Yu 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:

11 of 11 papers shown

Koh, Yvette W. H., Yu Hung, Zhijian Xiao, et al.. (2021). Live Fluorescence, Inverse Imaging of Cell Ruffling, and Macropinocytosis. Journal of Visualized Experiments. 3 indexed citations

Stow, Jennifer L., Yu Hung, & Adam A. Wall. (2020). Macropinocytosis: Insights from immunology and cancer. Current Opinion in Cell Biology. 65. 131–140. 66 indexed citations

Wall, Adam A., et al.. (2019). Guanine nucleotide exchange factors activate Rab8a for Toll-like receptor signalling. Small GTPases. 12(1). 27–43. 17 indexed citations

Luo, Lin, Adam A. Wall, Yu Hung, et al.. (2018). TLR Crosstalk Activates LRP1 to Recruit Rab8a and PI3Kγ for Suppression of Inflammatory Responses. Cell Reports. 24(11). 3033–3044. 68 indexed citations

Wall, Adam A., Lin Luo, Yu Hung, et al.. (2017). Small GTPase Rab8a-recruited Phosphatidylinositol 3-Kinase γ Regulates Signaling and Cytokine Outputs from Endosomal Toll-like Receptors. Journal of Biological Chemistry. 292(11). 4411–4422. 54 indexed citations

Rowland, Susan, et al.. (2016). Do We Need to Design Course-Based Undergraduate Research Experiences for Authenticity?. CBE—Life Sciences Education. 15(4). ar79–ar79. 43 indexed citations

Zeng, Yi‐Fang, Yu Hung, Ming‐Ju Chen, et al.. (2009). Simultaneous refolding, purification, and immobilization of recombinant Fibrobacter succinogenes 1,3‐1,4‐β‐D‐glucanase on artificial oil bodies. Journal of Chemical Technology & Biotechnology. 84(10). 1480–1485. 5 indexed citations

Sava, V., et al.. (2003). The liver-protecting activity of melanin-like pigment derived from black tea. Food Research International. 36(5). 505–511. 49 indexed citations

Sava, V., et al.. (2002). Protective activity of melanin-like pigment derived from tea on Drosophila melasnogaster against the toxic effects of benzidine. Food Research International. 35(7). 619–626. 15 indexed citations

10.

Hung, Yu, et al.. (2000). Improved retroviral transduction of hematopoietic progenitors by combining methods to enhance virus–cell interaction. Leukemia. 14(2). 307–311. 15 indexed citations

11.

Hung, Yu & David R. Thompson. (1983). Freezing Time Prediction for Slab Shape Foodstuffs by an Improved Analytical Method. Journal of Food Science. 48(2). 555–560. 69 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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