Erin M. Bowers

1.3k total citations · 1 hit paper
7 papers, 981 citations indexed

About

Erin M. Bowers is a scholar working on Molecular Biology, Nutrition and Dietetics and Endocrine and Autonomic Systems. According to data from OpenAlex, Erin M. Bowers has authored 7 papers receiving a total of 981 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 2 papers in Nutrition and Dietetics and 1 paper in Endocrine and Autonomic Systems. Recurrent topics in Erin M. Bowers's work include Histone Deacetylase Inhibitors Research (3 papers), Ubiquitin and proteasome pathways (2 papers) and Epigenetics and DNA Methylation (2 papers). Erin M. Bowers is often cited by papers focused on Histone Deacetylase Inhibitors Research (3 papers), Ubiquitin and proteasome pathways (2 papers) and Epigenetics and DNA Methylation (2 papers). Erin M. Bowers collaborates with scholars based in United States, United Kingdom and Taiwan. Erin M. Bowers's co-authors include Philip A. Cole, Rhoda M. Alani, Louis C. Mahadevan, Nicholas T. Crump, Chandrani Mukherjee, Catherine A. Hazzalin, David J. Meyers, Cecilia Larocca, Gai Yan and S. Adrian Saldanha and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Medicinal Chemistry.

In The Last Decade

Erin M. Bowers

7 papers receiving 968 citations

Hit Papers

Virtual Ligand Screening of the p300/CBP Histone Acetyltr... 2010 2026 2015 2020 2010 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Erin M. Bowers United States 7 648 184 147 142 114 7 981
Leigh Frost United States 8 660 1.0× 101 0.5× 72 0.5× 95 0.7× 95 0.8× 9 868
Anita Hong United States 13 511 0.8× 511 2.8× 236 1.6× 456 3.2× 117 1.0× 16 1.6k
Celia P. Briscoe United Kingdom 18 844 1.3× 103 0.6× 149 1.0× 218 1.5× 60 0.5× 28 1.4k
Yu-Yi Lin Taiwan 10 625 1.0× 181 1.0× 142 1.0× 150 1.1× 54 0.5× 18 966
Lars‐Ole Gerlach Denmark 11 478 0.7× 214 1.2× 196 1.3× 176 1.2× 293 2.6× 14 1.0k
Motoyasu Ui Japan 15 765 1.2× 36 0.2× 147 1.0× 44 0.3× 140 1.2× 23 1.1k
W. J. Salsgiver United States 12 301 0.5× 37 0.2× 70 0.5× 100 0.7× 33 0.3× 18 612
Uwe Klein United States 12 625 1.0× 55 0.3× 20 0.1× 127 0.9× 60 0.5× 18 1.0k
Craig C. Correll United States 12 1.2k 1.9× 26 0.1× 55 0.4× 210 1.5× 378 3.3× 15 1.6k
Mona Wilcke Sweden 9 419 0.6× 45 0.2× 35 0.2× 140 1.0× 27 0.2× 11 634

Countries citing papers authored by Erin M. Bowers

Since Specialization
Citations

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

Fields of papers citing papers by Erin M. Bowers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Erin M. Bowers. 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 Erin M. Bowers. The network helps show where Erin M. Bowers may publish in the future.

Co-authorship network of co-authors of Erin M. Bowers

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

All Works

7 of 7 papers shown
1.
Yan, Gai, Mark S. Eller, Cecilia Larocca, et al.. (2013). Selective Inhibition of p300 HAT Blocks Cell Cycle Progression, Induces Cellular Senescence, and Inhibits the DNA Damage Response in Melanoma Cells. Journal of Investigative Dermatology. 133(10). 2444–2452. 83 indexed citations
2.
Dancy, Beverley M., Nicholas T. Crump, Chandrani Mukherjee, et al.. (2012). Live‐Cell Studies of p300/CBP Histone Acetyltransferase Activity and Inhibition. ChemBioChem. 13(14). 2113–2121. 41 indexed citations
3.
Crump, Nicholas T., Catherine A. Hazzalin, Erin M. Bowers, et al.. (2011). Dynamic acetylation of all lysine-4 trimethylated histone H3 is evolutionarily conserved and mediated by p300/CBP. Proceedings of the National Academy of Sciences. 108(19). 7814–7819. 89 indexed citations
4.
Barnett, Brad P., Yousang Hwang, Martin S. Taylor, et al.. (2010). Glucose and Weight Control in Mice with a Designed Ghrelin O-Acyltransferase Inhibitor. Science. 330(6011). 1689–1692. 212 indexed citations
5.
Bowers, Erin M., Gai Yan, Chandrani Mukherjee, et al.. (2010). Virtual Ligand Screening of the p300/CBP Histone Acetyltransferase: Identification of a Selective Small Molecule Inhibitor. Chemistry & Biology. 17(5). 471–482. 504 indexed citations breakdown →
6.
Bowers, Erin M., et al.. (2007). Salt effects on β-glucosidase: pH-profile narrowing. Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics. 1774(12). 1500–1507. 28 indexed citations
7.
Szewczuk, Lawrence M., S. Adrian Saldanha, Surajit Ganguly, et al.. (2007). De Novo Discovery of Serotonin N-Acetyltransferase Inhibitors. Journal of Medicinal Chemistry. 50(22). 5330–5338. 24 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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