Melanie J. Patterson

494 total citations
8 papers, 380 citations indexed

About

Melanie J. Patterson is a scholar working on Molecular Biology, Oncology and Spectroscopy. According to data from OpenAlex, Melanie J. Patterson has authored 8 papers receiving a total of 380 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 2 papers in Oncology and 2 papers in Spectroscopy. Recurrent topics in Melanie J. Patterson's work include Ubiquitin and proteasome pathways (2 papers), PARP inhibition in cancer therapy (2 papers) and Protein Degradation and Inhibitors (2 papers). Melanie J. Patterson is often cited by papers focused on Ubiquitin and proteasome pathways (2 papers), PARP inhibition in cancer therapy (2 papers) and Protein Degradation and Inhibitors (2 papers). Melanie J. Patterson collaborates with scholars based in United States. Melanie J. Patterson's co-authors include Damien B. Ready, Gregory K. Potts, Taofei Yin, Qing Lin, András Herner, Violeta L. Marin, Kathleen J. Green, Evangeline V. Amargo, Viktor Todorović and Anil Vasudevan and has published in prestigious journals such as Journal of the American Chemical Society, Analytical Chemistry and Clinical Cancer Research.

In The Last Decade

Melanie J. Patterson

8 papers receiving 375 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Melanie J. Patterson United States	6	241	161	84	51	31	8	380
Ian Scanlon United Kingdom	8	450 1.9×	226 1.4×	87 1.0×	43 0.8×	24 0.8×	9	579
Robert D. Kendig United States	12	326 1.4×	276 1.7×	57 0.7×	55 1.1×	58 1.9×	15	574
Maike Hoffmann Germany	2	381 1.6×	135 0.8×	51 0.6×	65 1.3×	31 1.0×	2	475
Robert H. Sinnamon United States	6	510 2.1×	141 0.9×	35 0.4×	47 0.9×	40 1.3×	7	566
Silvia Escudero United States	7	379 1.6×	201 1.2×	32 0.4×	49 1.0×	18 0.6×	8	489
Daniela Hüber Germany	8	308 1.3×	115 0.7×	52 0.6×	37 0.7×	18 0.6×	9	454
Sandra Kümper United Kingdom	6	311 1.3×	88 0.5×	39 0.5×	98 1.9×	22 0.7×	6	388
Corynn Kasap United States	6	253 1.0×	115 0.7×	61 0.7×	34 0.7×	33 1.1×	12	490
Kristina Masson Sweden	12	386 1.6×	90 0.6×	98 1.2×	24 0.5×	29 0.9×	14	693
Hazem Abdelkarim United States	13	229 1.0×	97 0.6×	54 0.6×	24 0.5×	23 0.7×	18	357

Countries citing papers authored by Melanie J. Patterson

Since Specialization

Citations

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

Fields of papers citing papers by Melanie J. Patterson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Melanie J. Patterson

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

All Works

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8 of 8 papers shown

Mastracchio, Anthony, Chunqiu Lai, Enrico L. DiGiammarino, et al.. (2021). Discovery of a Potent and Selective Covalent p300/CBP Inhibitor. ACS Medicinal Chemistry Letters. 12(5). 726–731. 15 indexed citations

Watts, Eleanor, Gregory K. Potts, Damien B. Ready, et al.. (2021). Characterization of HLA-A*02:01 MHC Immunopeptide Antigens Enhanced by Ultraviolet Photodissociation Mass Spectrometry. Analytical Chemistry. 93(39). 13134–13142. 2 indexed citations

Potts, Gregory K., et al.. (2018). Specific MHC-I Peptides Are Induced Using PROTACs. Frontiers in Immunology. 9. 2697–2697. 43 indexed citations

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

Patterson, Melanie J., James L. Murray, & Nicola J. Curtin. (2012). 348 Stability of PARP Inhibition by BMN 673 in Human PBMCs (and Leukaemic Cell Cultures). European Journal of Cancer. 48. 106–106. 1 indexed citations

Liu, Xuesong, Yan Shi, David Maag, et al.. (2011). Iniparib Nonselectively Modifies Cysteine-Containing Proteins in Tumor Cells and Is Not a Bona Fide PARP Inhibitor. Clinical Cancer Research. 18(2). 510–523. 139 indexed citations

Todorović, Viktor, Bhushan V. Desai, Melanie J. Patterson, et al.. (2010). Plakoglobin regulates cell motility through Rho- and fibronectin-dependent Src signaling. Journal of Cell Science. 123(20). 3576–3586. 55 indexed citations

Todorović, Viktor, Bhushan V. Desai, Richard A. Eigenheer, et al.. (2009). Detection of Differentially Expressed Basal Cell Proteins by Mass Spectrometry. Molecular & Cellular Proteomics. 9(2). 351–361. 21 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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