Abena S. Agyeman

16 total papers · 870 total citations
10 papers, 705 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 705 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, India and China. Abena S. Agyeman's co-authors include Thomas W. Kensler, Kala Visvanathan, John D. Groopman, Jianguo Chen, Patricia A. Egner, Jed W. Fahey, Paul Talalay, 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 691 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Abena S. Agyeman	493	85	68	67	66	10	705
Erik I. Finkelstein	494 1.0×	73 0.9×	31 0.5×	89 1.3×	42 0.6×	10	816
Cécile Ingueneau	278 0.6×	47 0.6×	54 0.8×	93 1.4×	54 0.8×	11	751
Raju Khatri	568 1.2×	42 0.5×	35 0.5×	62 0.9×	59 0.9×	10	872
Mingzhu Fang	507 1.0×	46 0.5×	35 0.5×	38 0.6×	83 1.3×	30	900
Raquel Fernández-Ginés	540 1.1×	37 0.4×	71 1.0×	80 1.2×	40 0.6×	11	778
Damian G. Deavall	267 0.5×	29 0.3×	42 0.6×	41 0.6×	44 0.7×	10	708
Alessio Lepore	313 0.6×	56 0.7×	44 0.6×	72 1.1×	88 1.3×	14	686
Holly Robertson	621 1.3×	58 0.7×	56 0.8×	61 0.9×	76 1.2×	13	885
Benedetta Rizzo	367 0.7×	31 0.4×	31 0.5×	74 1.1×	38 0.6×	9	839
Guangchun Sun	461 0.9×	40 0.5×	39 0.6×	38 0.6×	95 1.4×	30	760

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

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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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