Chinaza Egbuta

10 papers and 464 indexed citations i.

About

Chinaza Egbuta is a scholar working on Genetics, Pharmacology and Computational Theory and Mathematics. According to data from OpenAlex, Chinaza Egbuta has authored 10 papers receiving a total of 464 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Genetics, 4 papers in Pharmacology and 3 papers in Computational Theory and Mathematics. Recurrent topics in Chinaza Egbuta’s work include Estrogen and related hormone effects (7 papers), Pharmacogenetics and Drug Metabolism (4 papers) and Computational Drug Discovery Methods (3 papers). Chinaza Egbuta is often cited by papers focused on Estrogen and related hormone effects (7 papers), Pharmacogenetics and Drug Metabolism (4 papers) and Computational Drug Discovery Methods (3 papers). Chinaza Egbuta collaborates with scholars based in United States, United Kingdom and Italy. Chinaza Egbuta's co-authors include Debashis Ghosh, Jessica Lo, Wenhua Jiang, Jennifer Griswold, Damien Valette, Daniel Morton, Susan Hubbell, Jing An, Huw M. L. Davies and Giovanna Di Nardo and has published in prestigious journals such as Biochemistry, Cancer Research and Biochemical Journal.

In The Last Decade

Co-authorship network of co-authors of Chinaza Egbuta i

Fields of papers citing papers by Chinaza Egbuta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chinaza Egbuta. 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 Chinaza Egbuta. The network helps show where Chinaza Egbuta may publish in the future.

Countries citing papers authored by Chinaza Egbuta

Since Specialization
Citations

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

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2025