Okechukwu Ukairo

19 total papers · 678 total citations
15 papers, 541 citations indexed

About

Okechukwu Ukairo is a scholar working on Pharmacology, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Okechukwu Ukairo has authored 15 papers receiving a total of 541 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Pharmacology, 7 papers in Molecular Biology and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in Okechukwu Ukairo's work include Pharmacogenetics and Drug Metabolism (8 papers), Drug-Induced Hepatotoxicity and Protection (6 papers) and Neurotransmitter Receptor Influence on Behavior (5 papers). Okechukwu Ukairo is often cited by papers focused on Pharmacogenetics and Drug Metabolism (8 papers), Drug-Induced Hepatotoxicity and Protection (6 papers) and Neurotransmitter Receptor Influence on Behavior (5 papers). Okechukwu Ukairo collaborates with scholars based in United States, United Kingdom and Belgium. Okechukwu Ukairo's co-authors include Salman R. Khetani, Chitra Kanchagar, Amanda Moore, Yvonne Will, Michael D. Aleo, Christopher K. Surratt, Onyi Irrechukwu, Raymond Evers, Wolfgang Seghezzi and Gulesi Ayanoglu and has published in prestigious journals such as Brain Research, The FASEB Journal and Journal of Pharmacology and Experimental Therapeutics.

In The Last Decade

Okechukwu Ukairo

15 papers receiving 527 citations

Author Peers

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

Author						Papers	Cites
Okechukwu Ukairo	208	192	176	172	77	15	541
Malin Darnell	191 0.9×	218 1.1×	162 0.9×	215 1.3×	17 0.2×	15	561
K.-C. Cheng	140 0.7×	148 0.8×	138 0.8×	307 1.8×	33 0.4×	14	581
Nora Freyer	195 0.9×	62 0.3×	181 1.0×	222 1.3×	23 0.3×	15	476
Payal Rana	32 0.2×	80 0.4×	256 1.5×	88 0.5×	58 0.8×	26	505
Audrey Burban	99 0.5×	197 1.0×	169 1.0×	28 0.2×	22 0.3×	23	563
Sebastian Prill	132 0.6×	39 0.2×	116 0.7×	326 1.9×	100 1.3×	9	598
Jin Yu	26 0.1×	48 0.3×	178 1.0×	148 0.9×	33 0.4×	21	502
Gisela Backfisch	190 0.9×	37 0.2×	130 0.7×	35 0.2×	42 0.5×	16	451
Shunyu Yao	56 0.3×	16 0.1×	126 0.7×	103 0.6×	24 0.3×	27	502
Alexander Strigun	20 0.1×	45 0.2×	196 1.1×	50 0.3×	50 0.6×	8	508

Countries citing papers authored by Okechukwu Ukairo

Since Specialization

Citations

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

Fields of papers citing papers by Okechukwu Ukairo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Okechukwu Ukairo

This figure shows the co-authorship network connecting the top 25 collaborators of Okechukwu Ukairo. A scholar is included among the top collaborators of Okechukwu Ukairo 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 Okechukwu Ukairo. Okechukwu Ukairo 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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