Danielle G. May

987 total citations
15 papers, 553 citations indexed

About

Danielle G. May is a scholar working on Molecular Biology, Cell Biology and Organic Chemistry. According to data from OpenAlex, Danielle G. May has authored 15 papers receiving a total of 553 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 8 papers in Cell Biology and 4 papers in Organic Chemistry. Recurrent topics in Danielle G. May's work include Biotin and Related Studies (6 papers), Click Chemistry and Applications (4 papers) and Ubiquitin and proteasome pathways (4 papers). Danielle G. May is often cited by papers focused on Biotin and Related Studies (6 papers), Click Chemistry and Applications (4 papers) and Ubiquitin and proteasome pathways (4 papers). Danielle G. May collaborates with scholars based in United States, United Kingdom and Netherlands. Danielle G. May's co-authors include Kyle J. Roux, Dae In Kim, Brian Burke, Rhiannon M. Sears, Kelsey L. Scott, Alexandre Rosa Campos, Alexandre Rosa Campos, Paul J. Galardy, Sajjad Hussain and Tibor Bedekovics and has published in prestigious journals such as Journal of Biological Chemistry, Blood and Cancer Research.

In The Last Decade

Danielle G. May

12 papers receiving 553 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Danielle G. May United States 9 362 272 95 38 35 15 553
Halil Bagci Canada 8 615 1.7× 195 0.7× 37 0.4× 23 0.6× 58 1.7× 12 794
Victoria Hung United States 6 783 2.2× 574 2.1× 198 2.1× 88 2.3× 24 0.7× 8 1.1k
Deepti Rao United States 9 276 0.8× 125 0.5× 60 0.6× 15 0.4× 13 0.4× 12 422
Alison J. Inglis United Kingdom 10 592 1.6× 236 0.9× 42 0.4× 15 0.4× 37 1.1× 11 744
Hana L. Goldschmidt United States 8 340 0.9× 103 0.4× 48 0.5× 15 0.4× 21 0.6× 12 442
David M Shechner United States 9 890 2.5× 132 0.5× 71 0.7× 20 0.5× 14 0.4× 16 985
Cristina Viola United Kingdom 9 337 0.9× 124 0.5× 58 0.6× 15 0.4× 12 0.3× 12 429
Mindy Porterfield United States 9 458 1.3× 89 0.3× 111 1.2× 67 1.8× 43 1.2× 9 520
Haruhiko Fujihira Japan 11 345 1.0× 232 0.9× 69 0.7× 13 0.3× 39 1.1× 23 509
Jeremy L. Balsbaugh United States 18 794 2.2× 233 0.9× 91 1.0× 34 0.9× 129 3.7× 35 989

Countries citing papers authored by Danielle G. May

Since Specialization
Citations

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

Fields of papers citing papers by Danielle G. May

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Danielle G. May. 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 Danielle G. May. The network helps show where Danielle G. May may publish in the future.

Co-authorship network of co-authors of Danielle G. May

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

All Works

15 of 15 papers shown
1.
Yaeger, Jazmine D. W., et al.. (2025). Dishevelled localization and function are differentially regulated by structurally distinct sterols. iScience. 28(6). 112704–112704.
2.
May, Danielle G., Kyle J. Roux, Jeroen Demmers, et al.. (2024). Chromatin targeting of the RNF12/RLIM E3 ubiquitin ligase controls transcriptional responses. Life Science Alliance. 7(3). e202302282–e202302282. 1 indexed citations
3.
Hussain, Sajjad, Tibor Bedekovics, Raok Jeon, et al.. (2024). Proximity Proteomics Reveals USP44 Forms a Complex with BRCA2 in Neuroblastoma Cells and Is Required to Prevent Chromosome Breakage. Biomedicines. 12(12). 2901–2901.
4.
Oliveira, Haydée Torres de, et al.. (2023). Comprehensive analysis of the proximity-dependent nuclear interactome for the oncoprotein NOTCH1 in live cells. Journal of Biological Chemistry. 300(1). 105522–105522.
5.
François‐Moutal, Liberty, David D. Scott, Andrew J. Ambrose, et al.. (2022). Heat shock protein Grp78/BiP/HspA5 binds directly to TDP-43 and mitigates toxicity associated with disease pathology. Scientific Reports. 12(1). 8140–8140. 25 indexed citations
6.
7.
May, Danielle G., Laura Martin‐Sancho, Valesca Anschau, et al.. (2022). A BioID-Derived Proximity Interactome for SARS-CoV-2 Proteins. Viruses. 14(3). 611–611. 30 indexed citations
8.
May, Danielle G., et al.. (2020). Abstract 2917: Antitumor effects of an epigenetic inhibitor, 4SC-202, on human osteosarcoma cells. Cancer Research. 80(16_Supplement). 2917–2917. 2 indexed citations
9.
May, Danielle G., Kelsey L. Scott, Alexandre Rosa Campos, & Kyle J. Roux. (2020). Comparative Application of BioID and TurboID for Protein-Proximity Biotinylation. Cells. 9(5). 1070–1070. 110 indexed citations
11.
May, Danielle G. & Kyle J. Roux. (2019). BioID: A Method to Generate a History of Protein Associations. Methods in molecular biology. 2008. 83–95. 11 indexed citations
12.
Sears, Rhiannon M., Danielle G. May, & Kyle J. Roux. (2019). BioID as a Tool for Protein-Proximity Labeling in Living Cells. Methods in molecular biology. 2012. 299–313. 92 indexed citations
13.
Hussain, Sajjad, Tibor Bedekovics, Qiuying Liu, et al.. (2018). UCH-L1 bypasses mTOR to promote protein biosynthesis and is required for MYC-driven lymphomagenesis in mice. Blood. 132(24). 2564–2574. 31 indexed citations
14.
Roux, Kyle J., Dae In Kim, Brian Burke, & Danielle G. May. (2018). BioID: A Screen for Protein‐Protein Interactions. Current Protocols in Protein Science. 91(1). 197 indexed citations
15.
May, Danielle G., et al.. (2017). VRK2A is an A-type lamin–dependent nuclear envelope kinase that phosphorylates BAF. Molecular Biology of the Cell. 28(17). 2241–2250. 38 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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