Robert M. Vaughan

824 total citations
18 papers, 336 citations indexed

About

Robert M. Vaughan is a scholar working on Molecular Biology, Organic Chemistry and Pharmacology. According to data from OpenAlex, Robert M. Vaughan has authored 18 papers receiving a total of 336 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 1 paper in Organic Chemistry and 1 paper in Pharmacology. Recurrent topics in Robert M. Vaughan's work include Epigenetics and DNA Methylation (10 papers), Cancer-related gene regulation (9 papers) and Genomics and Chromatin Dynamics (9 papers). Robert M. Vaughan is often cited by papers focused on Epigenetics and DNA Methylation (10 papers), Cancer-related gene regulation (9 papers) and Genomics and Chromatin Dynamics (9 papers). Robert M. Vaughan collaborates with scholars based in United States and Australia. Robert M. Vaughan's co-authors include Scott B. Rothbart, Bradley M. Dickson, Evan M. Cornett, Martis W. Cowles, Zu‐Wen Sun, Andrea L. Johnstone, Marcus A. Cheek, Rochelle L. Tiedemann, Matthew F. Whelihan and Matthew J. Meiners and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Robert M. Vaughan

18 papers receiving 332 citations

Peers

Robert M. Vaughan

GENET

ONCOL

Vincenzo Di Cerbo United Kingdom

Hui Si Kwok United States

Tyler Weaver United States

Martin Montagne Canada

Arijit Dutta United States

Michelle Gonzales-Cope United States

C. Denise Appel United States

Christiane Spillner Germany

Sachiko Toma-Fukai Japan

Christina Strom United States

Vincenzo Di Cerbo United Kingdom

Robert M. Vaughan

296 ×1.0

30 ×1.0

GENET

27 ×1.0

ONCOL

23 ×1.2

10 ×0.8

Citations per year, relative to Robert M. Vaughan Robert M. Vaughan (= 1×) peers Vincenzo Di Cerbo

Countries citing papers authored by Robert M. Vaughan

Since Specialization

Citations

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

Fields of papers citing papers by Robert M. Vaughan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert M. Vaughan. 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 Robert M. Vaughan. The network helps show where Robert M. Vaughan may publish in the future.

Co-authorship network of co-authors of Robert M. Vaughan

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

All Works

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18 of 18 papers shown

Vaughan, Robert M., Bradley M. Dickson, Katie R. Martin, & Jeffrey P. MacKeigan. (2024). Molecular dynamics simulations provide insights into ULK-101 potency and selectivity toward autophagic kinases ULK1/2. Journal of Biomolecular Structure and Dynamics. 43(13). 7106–7113. 1 indexed citations

Tiedemann, Rochelle L., Joel Hrit, Qian Du, et al.. (2024). UHRF1 ubiquitin ligase activity supports the maintenance of low-density CpG methylation. Nucleic Acids Research. 52(22). 13733–13756. 9 indexed citations

Dickson, Bradley M., et al.. (2023). Streamlined quantitative analysis of histone modification abundance at nucleosome-scale resolution with siQ-ChIP version 2.0. Scientific Reports. 13(1). 7508–7508. 3 indexed citations

Vaughan, Robert M., Jennifer J. Kordich, Stephanie L. Celano, et al.. (2022). Chemical Biology Screening Identifies a Vulnerability to Checkpoint Kinase Inhibitors in TSC2-Deficient Renal Angiomyolipomas. Frontiers in Oncology. 12. 852859–852859. 2 indexed citations

Vaughan, Robert M., Jacob K. Zieba, Caleb Bupp, et al.. (2022). The complex, dynamic SpliceOme of the small GTPase transcripts altered by technique, sex, genetics, tissue specificity, and RNA base editing. Frontiers in Cell and Developmental Biology. 10. 1033695–1033695. 5 indexed citations

Morgan, Marc A., Irina K Popova, Anup Vaidya, et al.. (2021). A trivalent nucleosome interaction by PHIP/BRWD2 is disrupted in neurodevelopmental disorders and cancer. Genes & Development. 35(23-24). 1642–1656. 17 indexed citations

Dickson, Bradley M., et al.. (2020). A physical basis for quantitative ChIP-sequencing. Journal of Biological Chemistry. 295(47). 15826–15837. 8 indexed citations

Vaughan, Robert M., et al.. (2020). Chromatin Regulation through Ubiquitin and Ubiquitin-like Histone Modifications. Trends in Biochemical Sciences. 46(4). 258–269. 64 indexed citations

Vaughan, Robert M., Cari A. Sagum, Rochelle L. Tiedemann, et al.. (2020). The histone and non-histone methyllysine reader activities of the UHRF1 tandem Tudor domain are dispensable for the propagation of aberrant DNA methylation patterning in cancer cells. Epigenetics & Chromatin. 13(1). 44–44. 10 indexed citations

10.

Vaughan, Robert M., et al.. (2020). A Degenerate Peptide Library Approach to Reveal Sequence Determinants of Methyllysine-Driven Protein Interactions. Frontiers in Cell and Developmental Biology. 8. 241–241. 5 indexed citations

11.

Vaughan, Robert M., Scott B. Rothbart, & Bradley M. Dickson. (2019). The finger loop of the SRA domain in the E3 ligase UHRF1 is a regulator of ubiquitin targeting and is required for the maintenance of DNA methylation. Journal of Biological Chemistry. 294(43). 15724–15732. 16 indexed citations

12.

Colino‐Sanguino, Yolanda, Evan M. Cornett, Grady C. Smith, et al.. (2019). A Read/Write Mechanism Connects p300 Bromodomain Function to H2A.Z Acetylation. iScience. 21. 773–788. 18 indexed citations

13.

Shah, Rohan N., Adrian T. Grzybowski, Evan M. Cornett, et al.. (2018). Examining the Roles of H3K4 Methylation States with Systematically Characterized Antibodies. Molecular Cell. 72(1). 162–177.e7. 56 indexed citations

14.

Cornett, Evan M., Bradley M. Dickson, Krzysztof Krajewski, et al.. (2018). A functional proteomics platform to reveal the sequence determinants of lysine methyltransferase substrate selectivity. Science Advances. 4(11). eaav2623–eaav2623. 23 indexed citations

15.

Vaughan, Robert M., Bradley M. Dickson, Matthew F. Whelihan, et al.. (2018). Chromatin structure and its chemical modifications regulate the ubiquitin ligase substrate selectivity of UHRF1. Proceedings of the National Academy of Sciences. 115(35). 8775–8780. 40 indexed citations

16.

Vaughan, Robert M., Bradley M. Dickson, Evan M. Cornett, et al.. (2018). Comparative biochemical analysis of UHRF proteins reveals molecular mechanisms that uncouple UHRF2 from DNA methylation maintenance. Nucleic Acids Research. 46(9). 4405–4416. 26 indexed citations

17.

Cornett, Evan M., Bradley M. Dickson, Robert M. Vaughan, et al.. (2016). Substrate Specificity Profiling of Histone-Modifying Enzymes by Peptide Microarray. Methods in enzymology on CD-ROM/Methods in enzymology. 574. 31–52. 15 indexed citations

18.

Vaughan, Robert M., et al.. (2014). A fluorescent carbapenem for structure function studies of penicillin-binding proteins, β-lactamases, and β-lactam sensors. Analytical Biochemistry. 463. 70–74. 18 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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