Chao‐Wei Hung

441 total citations
8 papers, 215 citations indexed

About

Chao‐Wei Hung is a scholar working on Molecular Biology, Epidemiology and Cell Biology. According to data from OpenAlex, Chao‐Wei Hung has authored 8 papers receiving a total of 215 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Epidemiology and 3 papers in Cell Biology. Recurrent topics in Chao‐Wei Hung's work include Endoplasmic Reticulum Stress and Disease (3 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers) and Cellular transport and secretion (2 papers). Chao‐Wei Hung is often cited by papers focused on Endoplasmic Reticulum Stress and Disease (3 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers) and Cellular transport and secretion (2 papers). Chao‐Wei Hung collaborates with scholars based in United States, Australia and Austria. Chao‐Wei Hung's co-authors include Alan R. Saltiel, Shannon M. Reilly, Mara C. Duncan, Anne N. Murphy, Christian M. Metallo, Sushil K. Mahata, Fatima Javed, Jin Young Huh, Jong Bae Seo and Courtney R. Green and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Cell Metabolism.

In The Last Decade

Chao‐Wei Hung

8 papers receiving 214 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chao‐Wei Hung United States	8	115	53	52	42	27	8	215
Elite Possik Canada	10	194 1.7×	78 1.5×	75 1.4×	43 1.0×	27 1.0×	18	381
Matias Ekstrand Sweden	8	95 0.8×	76 1.4×	29 0.6×	36 0.9×	23 0.9×	9	270
Zeyuan Zhang United States	9	227 2.0×	108 2.0×	50 1.0×	56 1.3×	36 1.3×	14	379
Nazia Hilal India	4	116 1.0×	95 1.8×	58 1.1×	143 3.4×	32 1.2×	10	329
Kaikai Lu China	12	214 1.9×	88 1.7×	24 0.5×	21 0.5×	45 1.7×	21	474
Youwen Yuan China	8	58 0.5×	103 1.9×	41 0.8×	44 1.0×	21 0.8×	12	206
Lauren N. Miller United States	7	225 2.0×	28 0.5×	39 0.8×	25 0.6×	50 1.9×	10	328
Tomo Shimizu Japan	9	242 2.1×	28 0.5×	40 0.8×	46 1.1×	11 0.4×	16	354
Nicholas Khuu Canada	6	225 2.0×	45 0.8×	27 0.5×	45 1.1×	24 0.9×	7	379
Yoriko Sato Japan	10	178 1.5×	39 0.7×	85 1.6×	47 1.1×	64 2.4×	17	291

Countries citing papers authored by Chao‐Wei Hung

Since Specialization

Citations

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

Fields of papers citing papers by Chao‐Wei Hung

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chao‐Wei Hung

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

8 of 8 papers shown

Chiang, Tzu-An, Z.H. Che, & Chao‐Wei Hung. (2023). A K-Means Clustering and the Prim’s Minimum Spanning Tree-Based Optimal Picking-List Consolidation and Assignment Methodology for Achieving the Sustainable Warehouse Operations. Sustainability. 15(4). 3544–3544. 9 indexed citations

Svensson, Kristoffer, Chao‐Wei Hung, Omer Keinan, et al.. (2021). p300 or CBP is required for insulin-stimulated glucose uptake in skeletal muscle and adipocytes. JCI Insight. 7(1). 9 indexed citations

Huh, Jin Young, Shannon M. Reilly, Mohammad Abu-Odeh, et al.. (2020). TANK-Binding Kinase 1 Regulates the Localization of Acyl-CoA Synthetase ACSL1 to Control Hepatic Fatty Acid Oxidation. Cell Metabolism. 32(6). 1012–1027.e7. 88 indexed citations

Reilly, Shannon M., Chao‐Wei Hung, Maryam Ahmadian, et al.. (2020). Catecholamines suppress fatty acid re-esterification and increase oxidation in white adipocytes via STAT3. Nature Metabolism. 2(7). 620–634. 34 indexed citations

Hung, Chao‐Wei, et al.. (2020). Plasma membrane to vacuole traffic induced by glucose starvation requires Gga2‐dependent sorting at the trans‐Golgi network. Biology of the Cell. 112(11). 349–367. 7 indexed citations

Hung, Chao‐Wei, Jorge Y. Martínez-Márquez, Fatima Javed, & Mara C. Duncan. (2018). A simple and inexpensive quantitative technique for determining chemical sensitivity in Saccharomyces cerevisiae. Scientific Reports. 8(1). 11919–11919. 26 indexed citations

Skorobogatko, Yuliya, Morgan Dragan, Shannon M. Reilly, et al.. (2018). RalA controls glucose homeostasis by regulating glucose uptake in brown fat. Proceedings of the National Academy of Sciences. 115(30). 7819–7824. 33 indexed citations

Hung, Chao‐Wei, et al.. (2012). Adaptor Autoregulation Promotes Coordinated Binding within Clathrin Coats. Journal of Biological Chemistry. 287(21). 17398–17407. 9 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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