Matthew E. Griffin

1.3k total citations · 1 hit paper
20 papers, 809 citations indexed

About

Matthew E. Griffin is a scholar working on Molecular Biology, Cell Biology and Organic Chemistry. According to data from OpenAlex, Matthew E. Griffin has authored 20 papers receiving a total of 809 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 7 papers in Cell Biology and 5 papers in Organic Chemistry. Recurrent topics in Matthew E. Griffin's work include Glycosylation and Glycoproteins Research (8 papers), Proteoglycans and glycosaminoglycans research (7 papers) and Carbohydrate Chemistry and Synthesis (5 papers). Matthew E. Griffin is often cited by papers focused on Glycosylation and Glycoproteins Research (8 papers), Proteoglycans and glycosaminoglycans research (7 papers) and Carbohydrate Chemistry and Synthesis (5 papers). Matthew E. Griffin collaborates with scholars based in United States, Argentina and South Korea. Matthew E. Griffin's co-authors include Linda C. Hsieh‐Wilson, Howard C. Hang, Juliel Espinosa, Ji‐Dung Luo, Thomas S. Carroll, Gary R. Fanger, Jyoti K. Jha, Abigail Pulsipher, Howard C. Hang and John W. Thompson and has published in prestigious journals such as Science, Cell and Journal of the American Chemical Society.

In The Last Decade

Matthew E. Griffin

19 papers receiving 797 citations

Hit Papers

Enterococcus peptidoglycan remodeling promotes checkpoint... 2021 2026 2022 2024 2021 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthew E. Griffin United States 15 573 173 171 149 105 20 809
Mark B. Jones United States 17 816 1.4× 101 0.6× 258 1.5× 374 2.5× 93 0.9× 29 1.1k
Weijie Dong China 17 613 1.1× 59 0.3× 97 0.6× 216 1.4× 58 0.6× 32 784
Rebeca Kawahara Brazil 19 546 1.0× 102 0.6× 70 0.4× 160 1.1× 94 0.9× 43 895
Serenus Hua United States 23 1.1k 1.9× 87 0.5× 273 1.6× 141 0.9× 90 0.9× 32 1.4k
Trent R. Gemmill United States 13 630 1.1× 56 0.3× 121 0.7× 94 0.6× 141 1.3× 13 762
Arnab Rudra United States 10 953 1.7× 114 0.7× 180 1.1× 207 1.4× 26 0.2× 15 1.2k
Zhilei Chen United States 15 451 0.8× 72 0.4× 70 0.4× 76 0.5× 35 0.3× 41 808
Christophe Mariller France 15 557 1.0× 89 0.5× 102 0.6× 176 1.2× 50 0.5× 22 824
Chun‐Ting Yuen United Kingdom 18 789 1.4× 60 0.3× 241 1.4× 321 2.2× 164 1.6× 31 1.1k
Stephanie Hamilton United States 14 225 0.4× 133 0.8× 117 0.7× 173 1.2× 26 0.2× 28 694

Countries citing papers authored by Matthew E. Griffin

Since Specialization
Citations

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

Fields of papers citing papers by Matthew E. Griffin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew E. Griffin

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew E. Griffin. A scholar is included among the top collaborators of Matthew E. Griffin 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 E. Griffin. Matthew E. Griffin 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.
Falco, Natalie & Matthew E. Griffin. (2024). Discovering microbiota functions via chemical probe incorporation for targeted sequencing. Current Opinion in Chemical Biology. 84. 102551–102551.
2.
Zhao, Xiaohui, et al.. (2023). Chemoproteomics reveals microbiota-derived aromatic monoamine agonists for GPRC5A. Nature Chemical Biology. 19(10). 1205–1214. 23 indexed citations
3.
Griffin, Matthew E., et al.. (2023). N-Arylpyrazole NOD2 Agonists Promote Immune Checkpoint Inhibitor Therapy. ACS Chemical Biology. 18(6). 1368–1377. 7 indexed citations
4.
Griffin, Matthew E. & Linda C. Hsieh‐Wilson. (2022). Tools for mammalian glycoscience research. Cell. 185(15). 2657–2677. 47 indexed citations
5.
Griffin, Matthew E. & Howard C. Hang. (2022). Microbial mechanisms to improve immune checkpoint blockade responsiveness. Neoplasia. 31. 100818–100818. 10 indexed citations
6.
Griffin, Matthew E., et al.. (2022). Peptidoglycan NlpC/P60 peptidases in bacterial physiology and host interactions. Cell chemical biology. 30(5). 436–456. 17 indexed citations
7.
Chen, Victor, et al.. (2021). RecT Recombinase Expression Enables Efficient Gene Editing in Enterococcus spp.. Applied and Environmental Microbiology. 87(18). e0084421–e0084421. 14 indexed citations
8.
Griffin, Matthew E., Juliel Espinosa, Ji‐Dung Luo, et al.. (2021). Enterococcus peptidoglycan remodeling promotes checkpoint inhibitor cancer immunotherapy. Science. 373(6558). 1040–1046. 241 indexed citations breakdown →
9.
Griffin, Matthew E., Alexander W. Sorum, Gregory M. Miller, William A. Goddard, & Linda C. Hsieh‐Wilson. (2020). Sulfated glycans engage the Ang–Tie pathway to regulate vascular development. Nature Chemical Biology. 17(2). 178–186. 27 indexed citations
10.
Cable, Jennifer, Benjamin D. Greenbaum, Dana Pe’er, et al.. (2020). Frontiers in cancer immunotherapy—a symposium report. Annals of the New York Academy of Sciences. 1489(1). 30–47. 43 indexed citations
11.
Wang, Yen‐Chih, Nathan P. Westcott, Matthew E. Griffin, & Howard C. Hang. (2019). Peptidoglycan Metabolite Photoaffinity Reporters Reveal Direct Binding to Intracellular Pattern Recognition Receptors and Arf GTPases. ACS Chemical Biology. 14(3). 405–414. 31 indexed citations
12.
Griffin, Matthew E., et al.. (2019). Translation of peptidoglycan metabolites into immunotherapeutics. Clinical & Translational Immunology. 8(12). e1095–e1095. 29 indexed citations
13.
Thompson, John W., Matthew E. Griffin, & Linda C. Hsieh‐Wilson. (2017). Methods for the Detection, Study, and Dynamic Profiling of O-GlcNAc Glycosylation. Methods in enzymology on CD-ROM/Methods in enzymology. 598. 101–135. 52 indexed citations
14.
Griffin, Matthew E., Elizabeth H. Jensen, Daniel E. Mason, et al.. (2016). Comprehensive mapping of O -GlcNAc modification sites using a chemically cleavable tag. Molecular BioSystems. 12(6). 1756–1759. 42 indexed citations
15.
Griffin, Matthew E. & Linda C. Hsieh‐Wilson. (2016). Glycan Engineering for Cell and Developmental Biology. Cell chemical biology. 23(1). 108–121. 58 indexed citations
16.
Pulsipher, Abigail, et al.. (2014). Long‐Lived Engineering of Glycans to Direct Stem Cell Fate. Angewandte Chemie International Edition. 54(5). 1466–1470. 55 indexed citations
17.
Pulsipher, Abigail, et al.. (2014). Long‐Lived Engineering of Glycans to Direct Stem Cell Fate. Angewandte Chemie. 127(5). 1486–1490. 6 indexed citations
18.
Pulsipher, Abigail, et al.. (2014). Directing Neuronal Signaling through Cell-Surface Glycan Engineering. Journal of the American Chemical Society. 136(19). 6794–6797. 70 indexed citations
19.
Griffin, Matthew E. & Linda C. Hsieh‐Wilson. (2013). Synthetic probes of glycosaminoglycan function. Current Opinion in Chemical Biology. 17(6). 1014–1022. 25 indexed citations
20.
Mishur, Robert J., et al.. (2010). Molecular recognition and enhancement of aqueous solubility and bioactivity of CD437 by β-cyclodextrin. Bioorganic & Medicinal Chemistry Letters. 21(2). 857–860. 12 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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