Peter C. Gareiss

2.8k total citations · 1 hit paper
26 papers, 2.2k citations indexed

About

Peter C. Gareiss is a scholar working on Molecular Biology, Organic Chemistry and Cancer Research. According to data from OpenAlex, Peter C. Gareiss has authored 26 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 9 papers in Organic Chemistry and 4 papers in Cancer Research. Recurrent topics in Peter C. Gareiss's work include RNA and protein synthesis mechanisms (6 papers), Chemical Synthesis and Analysis (5 papers) and Ubiquitin and proteasome pathways (4 papers). Peter C. Gareiss is often cited by papers focused on RNA and protein synthesis mechanisms (6 papers), Chemical Synthesis and Analysis (5 papers) and Ubiquitin and proteasome pathways (4 papers). Peter C. Gareiss collaborates with scholars based in United States, United Kingdom and Greece. Peter C. Gareiss's co-authors include Daniël Hoyer, Michael S. Kinch, Eric Patridge, Benjamin L. Miller, Craig M. Crews, Hyun Seop Tae, Inge Van Molle, Alessio Ciulli, Dennis L. Buckley and William L. Jorgensen and has published in prestigious journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and Biochemistry.

In The Last Decade

Peter C. Gareiss

25 papers receiving 2.1k citations

Hit Papers

An analysis of FDA-approved drugs: natural products and t... 2015 2026 2018 2022 2015 200 400 600

Peers

Peter C. Gareiss
Marina Ignatushchenko United States
Anne Cleasby United Kingdom
Yung-Chi Cheng United States
N.O. Concha United States
Marina Ignatushchenko United States
Peter C. Gareiss
Citations per year, relative to Peter C. Gareiss Peter C. Gareiss (= 1×) peers Marina Ignatushchenko

Countries citing papers authored by Peter C. Gareiss

Since Specialization
Citations

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

Fields of papers citing papers by Peter C. Gareiss

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter C. Gareiss. 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 Peter C. Gareiss. The network helps show where Peter C. Gareiss may publish in the future.

Co-authorship network of co-authors of Peter C. Gareiss

This figure shows the co-authorship network connecting the top 25 collaborators of Peter C. Gareiss. A scholar is included among the top collaborators of Peter C. Gareiss 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 Peter C. Gareiss. Peter C. Gareiss 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.
Hickey, Christopher M., Katherine M. Digianantonio, Kurt Zimmermann, et al.. (2024). Co-opting the E3 ligase KLHDC2 for targeted protein degradation by small molecules. Nature Structural & Molecular Biology. 31(2). 311–322. 29 indexed citations
2.
Gareiss, Peter C., Jae‐Yeon Choi, Isaline Renard, et al.. (2022). High-resolution crystal structure and chemical screening reveal pantothenate kinase as a new target for antifungal development. Structure. 30(11). 1494–1507.e6. 6 indexed citations
3.
Min, Kisuk, Lei Zhang, James Herrington, et al.. (2020). An allosteric site on MKP5 reveals a strategy for small-molecule inhibition. Science Signaling. 13(646). 19 indexed citations
4.
Connelly, Colleen M., Robert E. Boer, Michelle H. Moon, Peter C. Gareiss, & John S. Schneekloth. (2016). Discovery of Inhibitors of MicroRNA-21 Processing Using Small Molecule Microarrays. ACS Chemical Biology. 12(2). 435–443. 63 indexed citations
5.
Gale, Molly, Joyce Sayegh, Jian Cao, et al.. (2016). Screen-identified selective inhibitor of lysine demethylase 5A blocks cancer cell growth and drug resistance. Oncotarget. 7(26). 39931–39944. 64 indexed citations
6.
Patridge, Eric, Peter C. Gareiss, Michael S. Kinch, & Daniël Hoyer. (2015). An analysis of FDA-approved drugs: natural products and their derivatives. Drug Discovery Today. 21(2). 204–207. 610 indexed citations breakdown →
7.
Patridge, Eric, et al.. (2015). An analysis of original research contributions toward FDA-approved drugs. Drug Discovery Today. 20(10). 1182–1187. 31 indexed citations
8.
Buckley, Dennis L., Jeffrey L. Gustafson, Inge Van Molle, et al.. (2012). Small‐Molecule Inhibitors of the Interaction between the E3 Ligase VHL and HIF1α. Angewandte Chemie International Edition. 51(46). 11463–11467. 230 indexed citations
9.
Buckley, Dennis L., Inge Van Molle, Peter C. Gareiss, et al.. (2012). Targeting the von Hippel–Lindau E3 Ubiquitin Ligase Using Small Molecules To Disrupt the VHL/HIF-1α Interaction. Journal of the American Chemical Society. 134(10). 4465–4468. 402 indexed citations
10.
Noblin, Devin J., Charlotte M. Page, Hyun Seop Tae, et al.. (2012). A HaloTag-Based Small Molecule Microarray Screening Methodology with Increased Sensitivity and Multiplex Capabilities. ACS Chemical Biology. 7(12). 2055–2063. 11 indexed citations
11.
Gareiss, Peter C., et al.. (2010). Identification and Characterization of a Peptidic Ligand for Ras. ChemBioChem. 11(4). 517–522. 15 indexed citations
12.
Palde, Prakash B., et al.. (2010). Strategies for Recognition of Stem−Loop RNA Structures by Synthetic Ligands: Application to the HIV-1 Frameshift Stimulatory Sequence. Journal of Medicinal Chemistry. 53(16). 6018–6027. 29 indexed citations
13.
Gareiss, Peter C., et al.. (2009). A Potent Activator of Melanogenesis Identified from Small‐Molecule Screening. ChemMedChem. 4(10). 1583–1589. 12 indexed citations
14.
Gareiss, Peter C., Krzysztof Sobczak, Brian R. McNaughton, et al.. (2008). Dynamic Combinatorial Selection of Molecules Capable of Inhibiting the (CUG) Repeat RNA−MBNL1 Interaction In Vitro: Discovery of Lead Compounds Targeting Myotonic Dystrophy (DM1). Journal of the American Chemical Society. 130(48). 16254–16261. 150 indexed citations
15.
Miller, Benjamin L., et al.. (2007). Single-Step Synthesis of Functional Organic Receptors via a Tridirectional Minisci Reaction. Synthesis. 2007(15). 2287–2290. 2 indexed citations
16.
McNaughton, Brian R., Peter C. Gareiss, & Benjamin L. Miller. (2007). Identification of a Selective Small-Molecule Ligand for HIV-1 Frameshift-Inducing Stem-Loop RNA from an 11,325 Member Resin Bound Dynamic Combinatorial Library. Journal of the American Chemical Society. 129(37). 11306–11307. 79 indexed citations
18.
Gareiss, Peter C., Prakash B. Palde, Robert D. Hubbard, & Benjamin L. Miller. (2006). Conformational and Structural Analysis of a ter‐Cyclopentane Scaffold for Molecular Recognition. European Journal of Organic Chemistry. 2007(1). 53–61. 1 indexed citations
19.
Gareiss, Peter C., et al.. (2006). Synthesis and evaluation of the first cis-cyclobutane-containing receptor for lipid A. Organic & Biomolecular Chemistry. 4(21). 3973–3973. 11 indexed citations
20.
Cronk, J.D., Roger S. Rowlett, Kam Y. J. Zhang, et al.. (2006). Identification of a Novel Noncatalytic Bicarbonate Binding Site in Eubacterial β-Carbonic Anhydrase. Biochemistry. 45(14). 4351–4361. 85 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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