Victoria Hung

1.6k total citations · 1 hit paper
8 papers, 1.1k citations indexed

About

Victoria Hung is a scholar working on Molecular Biology, Cell Biology and Spectroscopy. According to data from OpenAlex, Victoria Hung has authored 8 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Cell Biology and 2 papers in Spectroscopy. Recurrent topics in Victoria Hung's work include Mitochondrial Function and Pathology (3 papers), Biotin and Related Studies (3 papers) and RNA and protein synthesis mechanisms (3 papers). Victoria Hung is often cited by papers focused on Mitochondrial Function and Pathology (3 papers), Biotin and Related Studies (3 papers) and RNA and protein synthesis mechanisms (3 papers). Victoria Hung collaborates with scholars based in United States and South Korea. Victoria Hung's co-authors include Steven A. Carr, Alice Y. Ting, Namrata D. Udeshi, Stephanie S Lam, Tanya Svinkina, Vamsi K. Mootha, Ken H. Loh, Kayvon Pedram, Kurt J. Cox and Hyun‐Woo Rhee and has published in prestigious journals such as Nature Communications, Molecular Cell and Philosophical Transactions of the Royal Society B Biological Sciences.

In The Last Decade

Victoria Hung

6 papers receiving 1.1k citations

Hit Papers

Spatially resolved proteomic mapping in living cells with... 2016 2026 2019 2022 2016 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Victoria Hung United States 6 783 574 198 88 78 8 1.1k
Kelvin F. Cho United States 9 720 0.9× 520 0.9× 262 1.3× 85 1.0× 94 1.2× 10 1.1k
Julien Béthune Germany 14 823 1.1× 539 0.9× 98 0.5× 35 0.4× 55 0.7× 20 1.1k
Charlotta Olsson Sweden 6 1.0k 1.3× 141 0.2× 43 0.2× 49 0.6× 50 0.6× 6 1.3k
Raymond Mak United States 6 1.2k 1.6× 319 0.6× 66 0.3× 174 2.0× 56 0.7× 8 1.4k
Stephen E. Kaiser United States 17 1.2k 1.5× 534 0.9× 67 0.3× 31 0.4× 123 1.6× 23 1.6k
Katarína Gaplovská-Kyselá Slovakia 12 914 1.2× 474 0.8× 35 0.2× 44 0.5× 39 0.5× 20 1.3k
Jasmina J. Allen United States 11 981 1.3× 248 0.4× 99 0.5× 57 0.6× 48 0.6× 13 1.3k
Uyen Nguyen United States 17 1.2k 1.5× 164 0.3× 169 0.9× 33 0.4× 42 0.5× 29 1.4k
Francesca De Giorgi Italy 13 615 0.8× 179 0.3× 34 0.2× 20 0.2× 131 1.7× 15 887
Martin Kahms Germany 12 943 1.2× 415 0.7× 55 0.3× 24 0.3× 194 2.5× 18 1.2k

Countries citing papers authored by Victoria Hung

Since Specialization
Citations

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

Fields of papers citing papers by Victoria Hung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Victoria Hung

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

All Works

8 of 8 papers shown
1.
Cates, K. Lynn, Victoria Hung, & Maria Barna. (2025). Ribosome-associated proteins: unwRAPping ribosome heterogeneity in the twenty-first century. Philosophical Transactions of the Royal Society B Biological Sciences. 380(1921). 20230378–20230378.
2.
Genuth, Naomi R., Zhen Shi, Koshi Kunimoto, et al.. (2022). A stem cell roadmap of ribosome heterogeneity reveals a function for RPL10A in mesoderm production. Nature Communications. 13(1). 5491–5491. 27 indexed citations
3.
Hung, Victoria, et al.. (2021). 190. Epidemiology of COVID-19 Breakthrough Infections in Dallas County, Texas, 2021. Open Forum Infectious Diseases. 8(Supplement_1). S115–S115.
4.
Hung, Victoria, Stephanie S Lam, Namrata D. Udeshi, et al.. (2017). Proteomic mapping of cytosol-facing outer mitochondrial and ER membranes in living human cells by proximity biotinylation. eLife. 6. 275 indexed citations
5.
Hung, Victoria, Namrata D. Udeshi, Stephanie S Lam, et al.. (2016). Spatially resolved proteomic mapping in living cells with the engineered peroxidase APEX2. Nature Protocols. 11(3). 456–475. 374 indexed citations breakdown →
6.
Udeshi, Namrata D., Valentin Cracan, Tanya Svinkina, et al.. (2014). Proteomic Mapping of the Human Mitochondrial Intermembrane Space in Live Cells via Ratiometric APEX Tagging. DSpace@MIT (Massachusetts Institute of Technology). 7 indexed citations
7.
Hung, Victoria, Peng Zou, Hyun‐Woo Rhee, et al.. (2014). Proteomic Mapping of the Human Mitochondrial Intermembrane Space in Live Cells via Ratiometric APEX Tagging. Molecular Cell. 55(2). 332–341. 374 indexed citations
8.
Pan, Zhi, Kaustabh Ghosh, Victoria Hung, et al.. (2013). Deformation Gradients Imprint the Direction and Speed of En Masse Fibroblast Migration for Fast Healing. Journal of Investigative Dermatology. 133(10). 2471–2479. 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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