Violeta L. Marin

687 total citations
22 papers, 508 citations indexed

About

Violeta L. Marin is a scholar working on Molecular Biology, Organic Chemistry and Oncology. According to data from OpenAlex, Violeta L. Marin has authored 22 papers receiving a total of 508 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 5 papers in Organic Chemistry and 5 papers in Oncology. Recurrent topics in Violeta L. Marin's work include Advanced biosensing and bioanalysis techniques (8 papers), Protein Degradation and Inhibitors (6 papers) and DNA and Nucleic Acid Chemistry (6 papers). Violeta L. Marin is often cited by papers focused on Advanced biosensing and bioanalysis techniques (8 papers), Protein Degradation and Inhibitors (6 papers) and DNA and Nucleic Acid Chemistry (6 papers). Violeta L. Marin collaborates with scholars based in United States, Norway and Canada. Violeta L. Marin's co-authors include Bruce A. Armitage, Anil Vasudevan, Milan Mrksich, Stephen G. Sligar, Timothy H. Bayburt, Subhadeep Roy, Jasmina Marjanovic, Qing Lin, András Herner and Melanie J. Patterson and has published in prestigious journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and Biochemistry.

In The Last Decade

Violeta L. Marin

22 papers receiving 497 citations

Peers

Violeta L. Marin
Bert Lai United States
Kaido Viht Estonia
Anthony J. Quartararo United States
Ronald M. Kim United States
Soo Tng Quah Singapore
Rebecca E. Connor United States
Basile I. M. Wicky United States
Jason M. Belitsky United States
Violeta L. Marin
Citations per year, relative to Violeta L. Marin Violeta L. Marin (= 1×) peers Bas J. G. E. Pieters

Countries citing papers authored by Violeta L. Marin

Since Specialization
Citations

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

Fields of papers citing papers by Violeta L. Marin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Violeta L. Marin. 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 Violeta L. Marin. The network helps show where Violeta L. Marin may publish in the future.

Co-authorship network of co-authors of Violeta L. Marin

This figure shows the co-authorship network connecting the top 25 collaborators of Violeta L. Marin. A scholar is included among the top collaborators of Violeta L. Marin 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 Violeta L. Marin. Violeta L. Marin 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.
Zheng, Yunan, Anamika Singh, Violeta L. Marin, et al.. (2025). In-Cell Approach to Evaluate E3 Ligases for Use in Targeted Protein Degradation. Journal of the American Chemical Society. 147(25). 21560–21574. 2 indexed citations
2.
Moliner, Fabio De, Kathy Sarris, Zhi Wang, et al.. (2025). Fluorogenic Platform for Real-Time Imaging of Subcellular Payload Release in Antibody–Drug Conjugates. Journal of the American Chemical Society. 147(9). 7578–7587. 6 indexed citations
3.
Jing, Hui, Paul L. Richardson, Gregory K. Potts, et al.. (2025). Automated High-Throughput Affinity Capture-Mass Spectrometry Platform with Data-Independent Acquisition. Journal of Proteome Research. 24(2). 537–549. 1 indexed citations
4.
Lynch, Thomas L., Violeta L. Marin, Ryan A. McClure, et al.. (2024). Quantitative Measurement of Rate of Targeted Protein Degradation. ACS Chemical Biology. 19(7). 1604–1615. 5 indexed citations
5.
Rowley, Ann, Brian S. Brown, Mary R. Stofega, et al.. (2022). Targeting IRAK3 for Degradation to Enhance IL-12 Pro-inflammatory Cytokine Production. ACS Chemical Biology. 17(6). 1315–1320. 6 indexed citations
6.
Richardson, Paul L., Violeta L. Marin, Stormy L. Koeniger, et al.. (2019). Controlling cellular distribution of drugs with permeability modifying moieties. MedChemComm. 10(6). 974–984. 3 indexed citations
7.
Upadhyay, Anup K., Russell A. Judge, Leiming Li, et al.. (2018). Targeting lysine specific demethylase 4A (KDM4A) tandem TUDOR domain – A fragment based approach. Bioorganic & Medicinal Chemistry Letters. 28(10). 1708–1713. 15 indexed citations
8.
Stöckmann, Henning, Viktor Todorović, Paul L. Richardson, et al.. (2017). Cell-Surface Receptor–Ligand Interaction Analysis with Homogeneous Time-Resolved FRET and Metabolic Glycan Engineering: Application to Transmembrane and GPI-Anchored Receptors. Journal of the American Chemical Society. 139(46). 16822–16829. 16 indexed citations
9.
Marjanovic, Jasmina, Aleksandra Baranczak, Violeta L. Marin, et al.. (2017). Development of inverse electron demand Diels–Alder ligation and TR-FRET assays for the determination of ligand–protein target occupancy in live cells. MedChemComm. 8(4). 789–795. 9 indexed citations
10.
Judge, Russell A., Haizhong Zhu, Anup K. Upadhyay, et al.. (2016). Turning a Substrate Peptide into a Potent Inhibitor for the Histone Methyltransferase SETD8. ACS Medicinal Chemistry Letters. 7(12). 1102–1106. 12 indexed citations
11.
Herner, András, Jasmina Marjanovic, Violeta L. Marin, et al.. (2016). 2-Aryl-5-carboxytetrazole as a New Photoaffinity Label for Drug Target Identification. Journal of the American Chemical Society. 138(44). 14609–14615. 104 indexed citations
12.
Tang, Hua, et al.. (2015). Target Identification of Compounds from a Cell Viability Phenotypic Screen Using a Bead/Lysate-Based Affinity Capture Platform. SLAS DISCOVERY. 21(2). 201–211. 12 indexed citations
13.
Stöckmann, Henning, Violeta L. Marin, Paul Nimmer, et al.. (2015). Glycan‐Mediated, Ligand‐Controlled Click Chemistry for Drug‐Target Identification. ChemBioChem. 17(2). 150–154. 4 indexed citations
14.
Marin, Violeta L., Timothy H. Bayburt, Stephen G. Sligar, & Milan Mrksich. (2007). Functional Assays of Membrane‐Bound Proteins with SAMDI‐TOF Mass Spectrometry. Angewandte Chemie International Edition. 46(46). 8796–8798. 50 indexed citations
15.
Marin, Violeta L., Timothy H. Bayburt, Stephen G. Sligar, & Milan Mrksich. (2007). Functional Assays of Membrane‐Bound Proteins with SAMDI‐TOF Mass Spectrometry. Angewandte Chemie. 119(46). 8952–8954. 9 indexed citations
16.
Marin, Violeta L. & Bruce A. Armitage. (2006). Hybridization of Complementary and Homologous Peptide Nucleic Acid Oligomers to a Guanine Quadruplex-Forming RNA. Biochemistry. 45(6). 1745–1754. 45 indexed citations
17.
Marin, Violeta L., Henrik F. Hansen, Troels Koch, & Bruce A. Armitage. (2004). Effect of LNA Modifications on Small Molecule Binding to Nucleic Acids. Journal of Biomolecular Structure and Dynamics. 21(6). 841–850. 16 indexed citations
18.
Marin, Violeta L., Subhadeep Roy, & Bruce A. Armitage. (2004). Recent advances in the development of peptide nucleic acid as a gene-targeted drug. Expert Opinion on Biological Therapy. 4(3). 337–348. 38 indexed citations
19.
Marin, Violeta L., et al.. (2004). Recent advances in the development of peptide nucleic acid as a gene-targeted drug. Expert Opinion on Biological Therapy. 4(3). 337–348. 2 indexed citations
20.
Kushon, Stuart A., et al.. (2003). Detection of Single Nucleotide Mismatches via Fluorescent Polymer Superquenching. Langmuir. 19(16). 6456–6464. 60 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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