Abena S. Agyeman

874 total citations
10 papers, 710 citations indexed

About

Abena S. Agyeman is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Computational Theory and Mathematics. According to data from OpenAlex, Abena S. Agyeman has authored 10 papers receiving a total of 710 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 2 papers in Pulmonary and Respiratory Medicine and 2 papers in Computational Theory and Mathematics. Recurrent topics in Abena S. Agyeman's work include Genomics, phytochemicals, and oxidative stress (3 papers), Glutathione Transferases and Polymorphisms (2 papers) and Computational Drug Discovery Methods (2 papers). Abena S. Agyeman is often cited by papers focused on Genomics, phytochemicals, and oxidative stress (3 papers), Glutathione Transferases and Polymorphisms (2 papers) and Computational Drug Discovery Methods (2 papers). Abena S. Agyeman collaborates with scholars based in United States, China and India. Abena S. Agyeman's co-authors include Kala Visvanathan, Thomas W. Kensler, Patricia A. Egner, John D. Groopman, Paul Talalay, Jed W. Fahey, Jianguo Chen, Nancy E. Davidson, Patrick G. Shaw and Raghothama Chaerkady and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and Biochemical Pharmacology.

In The Last Decade

Abena S. Agyeman

10 papers receiving 697 citations

Peers

Abena S. Agyeman
Mingzhu Fang United States
Rukiyah Van Dross United States
Alessio Alfieri United Kingdom
Jeong Seon Yoon South Korea
Cui Yang China
Mingzhu Fang United States
Abena S. Agyeman
Citations per year, relative to Abena S. Agyeman Abena S. Agyeman (= 1×) peers Mingzhu Fang

Countries citing papers authored by Abena S. Agyeman

Since Specialization
Citations

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

Fields of papers citing papers by Abena S. Agyeman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Abena S. Agyeman. 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 Abena S. Agyeman. The network helps show where Abena S. Agyeman may publish in the future.

Co-authorship network of co-authors of Abena S. Agyeman

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

All Works

10 of 10 papers shown
1.
Agyeman, Abena S., et al.. (2023). Us Fda Public Meeting: Identification of Concepts and Terminology for Multicomponent Biomarkers. Biomarkers in Medicine. 17(11). 523–531. 2 indexed citations
2.
Agyeman, Abena S., et al.. (2022). Establishing a Public Resource for Acceptable Surrogate Endpoints to Support FDA Marketing Applications. Frontiers in Medicine. 9. 820990–820990. 5 indexed citations
3.
Agyeman, Abena S., Jonathon Vallejo, Adrian Myers, & Gideon M. Blumenthal. (2018). Meta-analysis exploring the effect of oncogenic driver mutations on outcome of metastatic non-small cell lung cancer (mNSCLC) patients (pts) treated with immune checkpoint inhibitors (ICI) or docetaxel (doc).. Journal of Clinical Oncology. 36(15_suppl). 9029–9029. 2 indexed citations
4.
Agyeman, Abena S., David A. Proia, Caroline R. Kim, et al.. (2016). Hsp90 Inhibition Results in Glucocorticoid Receptor Degradation in Association with Increased Sensitivity to Paclitaxel in Triple-Negative Breast Cancer. Hormones and Cancer. 7(2). 114–126. 19 indexed citations
5.
Brickley, Deanna R., Abena S. Agyeman, Richard F. Kopp, et al.. (2013). Serum- and Glucocorticoid-induced Protein Kinase 1 (SGK1) Is Regulated by Store-operated Ca2+ Entry and Mediates Cytoprotection against Necrotic Cell Death. Journal of Biological Chemistry. 288(45). 32708–32719. 13 indexed citations
6.
Kensler, Thomas W., Patricia A. Egner, Abena S. Agyeman, et al.. (2012). Keap1–Nrf2 Signaling: A Target for Cancer Prevention by Sulforaphane. Topics in current chemistry. 329. 163–177. 285 indexed citations
7.
Agyeman, Abena S., Raghothama Chaerkady, Patrick G. Shaw, et al.. (2011). Transcriptomic and proteomic profiling of KEAP1 disrupted and sulforaphane-treated human breast epithelial cells reveals common expression profiles. Breast Cancer Research and Treatment. 132(1). 175–187. 208 indexed citations
8.
Day, Regina M., Abena S. Agyeman, Michael J. Segel, et al.. (2005). Serotonin induces pulmonary artery smooth muscle cell migration. Biochemical Pharmacology. 71(3). 386–397. 37 indexed citations
9.
Simon, Amy, Mariano Severgnini, Satoe Takahashi, et al.. (2005). 5-HT Induction of <I>c-fos </I>Gene Expression Requires Reactive Oxygen Species and Rac1 and Ras GTPases. Cell Biochemistry and Biophysics. 42(3). 263–276. 20 indexed citations
10.
Hall, Adam C., et al.. (2004). Modulation of human GABAA and glycine receptor currents by menthol and related monoterpenoids. European Journal of Pharmacology. 506(1). 9–16. 119 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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