Matthew J. Hangauer

4.4k total citations · 3 hit papers
21 papers, 3.2k citations indexed

About

Matthew J. Hangauer is a scholar working on Molecular Biology, Organic Chemistry and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Matthew J. Hangauer has authored 21 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 10 papers in Organic Chemistry and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Matthew J. Hangauer's work include Click Chemistry and Applications (7 papers), Glycosylation and Glycoproteins Research (4 papers) and Advanced Fluorescence Microscopy Techniques (3 papers). Matthew J. Hangauer is often cited by papers focused on Click Chemistry and Applications (7 papers), Glycosylation and Glycoproteins Research (4 papers) and Advanced Fluorescence Microscopy Techniques (3 papers). Matthew J. Hangauer collaborates with scholars based in United States, Russia and Canada. Matthew J. Hangauer's co-authors include Michael T. McManus, Carolyn R. Bertozzi, Frank McCormick, Vasanthi S. Viswanathan, Matthew J. Ryan, Stuart L. Schreiber, Dhruv Bole, Jacqueline Galeas, Michael E. Berens and Alexandre Matov and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Matthew J. Hangauer

20 papers receiving 3.2k citations

Hit Papers

Drug-tolerant persister cancer cells are vulnerable ... 2011 2026 2016 2021 2017 2013 2011 400 800 1.2k

Peers

Matthew J. Hangauer
Angelika M. Burger United States
Judy Lucas United States
Eric H. Holmes United States
Daniel P. Sutherlin United States
Dennis F. Deen United States
Steven A. Middleton United States
Bihua Li United States
Matthew J. Hangauer
Citations per year, relative to Matthew J. Hangauer Matthew J. Hangauer (= 1×) peers Jaromı́r Pastorek

Countries citing papers authored by Matthew J. Hangauer

Since Specialization
Citations

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

Fields of papers citing papers by Matthew J. Hangauer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew J. Hangauer. 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 Matthew J. Hangauer. The network helps show where Matthew J. Hangauer may publish in the future.

Co-authorship network of co-authors of Matthew J. Hangauer

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew J. Hangauer. A scholar is included among the top collaborators of Matthew J. Hangauer 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 Matthew J. Hangauer. Matthew J. Hangauer 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.
Williams, August, et al.. (2025). DNA fragmentation factor B suppresses interferon to enable cancer persister cell regrowth. Nature Cell Biology. 27(12). 2143–2151.
2.
Wang, Michael, et al.. (2023). Abstract 99: Apoptotic DNase DFFB mediates cancer persister cell mutagenesis and acquired drug resistance. Cancer Research. 83(7_Supplement). 99–99. 2 indexed citations
3.
Mues, Marsilius, Laila Karra, Damià Romero–Moya, et al.. (2019). High-Complexity shRNA Libraries and PI3 Kinase Inhibition in Cancer: High-Fidelity Synthetic Lethality Predictions. Cell Reports. 27(2). 631–647.e5. 5 indexed citations
4.
Hangauer, Matthew J., Vasanthi S. Viswanathan, Matthew J. Ryan, et al.. (2017). Drug-tolerant persister cancer cells are vulnerable to GPX4 inhibition. Nature. 551(7679). 247–250. 1204 indexed citations breakdown →
5.
Hangauer, Matthew J., Vasanthi S. Viswanathan, Matthew J. Ryan, et al.. (2017). Abstract 1006: Drug-tolerant persister cancer cells are vulnerable to GPX4 inhibition. Cancer Research. 77(13_Supplement). 1006–1006. 2 indexed citations
6.
Tetsu, Osamu, Matthew J. Hangauer, Janyaporn Phuchareon, David W. Eisele, & Frank McCormick. (2016). Drug Resistance to EGFR Inhibitors in Lung Cancer. Chemotherapy. 61(5). 223–235. 56 indexed citations
7.
Hangauer, Matthew J., et al.. (2013). Pervasive Transcription of the Human Genome Produces Thousands of Previously Unidentified Long Intergenic Noncoding RNAs. PLoS Genetics. 9(6). e1003569–e1003569. 574 indexed citations breakdown →
8.
Palaniappan, Krishnan K., Matthew J. Hangauer, Timothy J. Smith, et al.. (2013). A Chemical Glycoproteomics Platform Reveals O-GlcNAcylation of Mitochondrial Voltage-Dependent Anion Channel 2. Cell Reports. 5(2). 546–552. 28 indexed citations
9.
Ku, Gregory, Hail Kim, Matthew J. Hangauer, et al.. (2012). Research Resource: RNA-Seq Reveals Unique Features of the Pancreatic β-Cell Transcriptome. Molecular Endocrinology. 26(10). 1783–1792. 90 indexed citations
10.
Shieh, Peyton, Matthew J. Hangauer, & Carolyn R. Bertozzi. (2012). Fluorogenic Azidofluoresceins for Biological Imaging. Journal of the American Chemical Society. 134(42). 17428–17431. 132 indexed citations
11.
Boyce, Michael, Isaac S. Carrico, Seok‐Ho Yu, et al.. (2011). Metabolic cross-talk allows labeling of O-linked β- N -acetylglucosamine-modified proteins via the N -acetylgalactosamine salvage pathway. Proceedings of the National Academy of Sciences. 108(8). 3141–3146. 273 indexed citations breakdown →
12.
Beatty, Kimberly E., John D. Fisk, Brian P. Smart, et al.. (2010). Live‐Cell Imaging of Cellular Proteins by a Strain‐Promoted Azide–Alkyne Cycloaddition. ChemBioChem. 11(15). 2092–2095. 136 indexed citations
13.
Barb, Adam W., Lori I. Robins, Ziqiang Guan, et al.. (2009). Correction to Uridine-Based Inhibitors as New Leads for Antibiotics Targeting Escherichia coli LpxC. Biochemistry. 48(32). 7776–7776. 2 indexed citations
14.
Hangauer, Matthew J. & Carolyn R. Bertozzi. (2008). A FRET‐Based Fluorogenic Phosphine for Live‐Cell Imaging with the Staudinger Ligation. Angewandte Chemie. 120(13). 2428–2431. 51 indexed citations
15.
Hangauer, Matthew J. & Carolyn R. Bertozzi. (2008). A FRET‐Based Fluorogenic Phosphine for Live‐Cell Imaging with the Staudinger Ligation. Angewandte Chemie International Edition. 47(13). 2394–2397. 159 indexed citations
16.
Chang, Pamela V., Jennifer A. Prescher, Matthew J. Hangauer, & Carolyn R. Bertozzi. (2007). Imaging Cell Surface Glycans with Bioorthogonal Chemical Reporters. Journal of the American Chemical Society. 129(27). 8400–8401. 173 indexed citations
17.
Kostiuk, Morris A., María M. Corvi, Bernd O. Keller, et al.. (2007). Identification of palmitoylated mitochondrial proteins using a bio‐orthogonal azido‐palmitate analogue. The FASEB Journal. 22(3). 721–732. 123 indexed citations
18.
Laughlin, Scott T., Nicholas J. Agard, Jeremy M. Baskin, et al.. (2006). Metabolic Labeling of Glycans with Azido Sugars for Visualization and Glycoproteomics. Methods in enzymology on CD-ROM/Methods in enzymology. 415. 230–250. 121 indexed citations
19.
Norris, Jeremy L., Matthew J. Hangauer, Ned A. Porter, & Richard M. Caprioli. (2005). Nonacid cleavable detergents applied to MALDI mass spectrometry profiling of whole cells. Journal of Mass Spectrometry. 40(10). 1319–1326. 16 indexed citations
20.
Milkiewicz, Karen L., et al.. (2000). The design, synthesis and activity of non-ATP competitive inhibitors of pp60c-src tyrosine kinase. Part 2: Hydroxyindole derivatives. Bioorganic & Medicinal Chemistry Letters. 10(5). 483–486. 29 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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