David Ebuka Arthur

1.2k total citations
58 papers, 962 citations indexed

About

David Ebuka Arthur is a scholar working on Organic Chemistry, Computational Theory and Mathematics and Molecular Biology. According to data from OpenAlex, David Ebuka Arthur has authored 58 papers receiving a total of 962 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Organic Chemistry, 27 papers in Computational Theory and Mathematics and 20 papers in Molecular Biology. Recurrent topics in David Ebuka Arthur's work include Computational Drug Discovery Methods (27 papers), Synthesis and biological activity (23 papers) and Cancer therapeutics and mechanisms (8 papers). David Ebuka Arthur is often cited by papers focused on Computational Drug Discovery Methods (27 papers), Synthesis and biological activity (23 papers) and Cancer therapeutics and mechanisms (8 papers). David Ebuka Arthur collaborates with scholars based in Nigeria, Palestinian Territory and Saudi Arabia. David Ebuka Arthur's co-authors include Adamu Uzairu, Shola Elijah Adeniji, Paul Ocheje Ameh, Paul Andrew Mamza, Stephen Eyije Abechi, Gideon Adamu Shallangwa, Mustapha Abdullahi, Abdurrashid Haruna, Stephen Ejeh and Muhammad Tukur Ibrahim and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Molecular Structure and Heliyon.

In The Last Decade

David Ebuka Arthur

56 papers receiving 938 citations

Peers

David Ebuka Arthur
Paul Andrew Mamza Nigeria
Ahmed Mahal Iraq
Panneerselvam Theivendren India
Santosh L. Gaonkar India
Heba E. Hashem Egypt
Stephen Eyije Abechi Nigeria
Praveen Kumar Sharma India
Mohamed Dakir Morocco
Ahmed Ragab Egypt
Maher A. El‐Hashash Egypt
Paul Andrew Mamza Nigeria
David Ebuka Arthur
Citations per year, relative to David Ebuka Arthur David Ebuka Arthur (= 1×) peers Paul Andrew Mamza

Countries citing papers authored by David Ebuka Arthur

Since Specialization
Citations

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

Fields of papers citing papers by David Ebuka Arthur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Ebuka Arthur. 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 David Ebuka Arthur. The network helps show where David Ebuka Arthur may publish in the future.

Co-authorship network of co-authors of David Ebuka Arthur

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

All Works

20 of 20 papers shown
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Arthur, David Ebuka, et al.. (2024). Oxidation of glyoxal with the Mo-oxime complex in a benzalkonium chloride interface: Raghavan and Srinivasan kinetic model. Inorganic Chemistry Communications. 170. 113524–113524.
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Arthur, David Ebuka, et al.. (2022). Computational drug design of novel COVID-19 inhibitor. SHILAP Revista de lepidopterología. 46(1). 210–210. 5 indexed citations
5.
Arthur, David Ebuka, et al.. (2021). Computational design of novel AKT inhibitors. Network Modeling Analysis in Health Informatics and Bioinformatics. 10(1). 1 indexed citations
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Arthur, David Ebuka, et al.. (2021). Studies on Some Mechanical Properties of PVC-Wood Fiber Composite. College & Research Libraries. 4(2). 85–91. 4 indexed citations
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Abdullahi, Mustapha, et al.. (2020). Virtual molecular docking study of some novel carboxamide series as new anti-tubercular agents. European Journal of Chemistry. 11(1). 30–36. 29 indexed citations
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Abdullahi, Mustapha, et al.. (2020). Quantitative structure-activity relationship (QSAR) modelling study of some novel carboxamide series as new anti-tubercular agents. SHILAP Revista de lepidopterología. 44(1). 27 indexed citations
10.
Adeniji, Shola Elijah, et al.. (2020). Computer-aided modeling of triazole analogues, docking studies of the compounds on DNA gyrase enzyme and design of new hypothetical compounds with efficient activities. Journal of Biomolecular Structure and Dynamics. 40(9). 4004–4020. 17 indexed citations
11.
Adeniji, Shola Elijah, et al.. (2020). Quantum modelling and molecular docking evaluation of some selected quinoline derivatives as anti-tubercular agents. Heliyon. 6(3). e03639–e03639. 34 indexed citations
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Arthur, David Ebuka, et al.. (2019). The use of strawberry and arabic gum blend as an inhibitor for the corrosion of aluminium in an acidic medium. SHILAP Revista de lepidopterología. 2 indexed citations
13.
Adeniji, Shola Elijah, Sani Uba, Adamu Uzairu, & David Ebuka Arthur. (2019). A Derived QSAR Model for Predicting Some Compounds as Potent Antagonist against Mycobacterium tuberculosis: A Theoretical Approach. SHILAP Revista de lepidopterología. 2019. 1–18. 27 indexed citations
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Arthur, David Ebuka & Adamu Uzairu. (2018). Molecular docking study and structure‐based design of novel camptothecin analogues used as topoisomerase I inhibitor. Journal of the Chinese Chemical Society. 65(10). 1160–1178. 5 indexed citations
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Arthur, David Ebuka, Adamu Uzairu, Paul Andrew Mamza, Stephen Eyije Abechi, & Gideon Adamu Shallangwa. (2018). Insilico modelling of quantitative structure–activity relationship of pGI50 anticancer compounds on K-562 cell line. SHILAP Revista de lepidopterología. 4(1). 1432520–1432520. 14 indexed citations
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Arthur, David Ebuka, et al.. (2017). Quantitative structure-activity and toxicity relationship study of CCRF-CEM and RPMI 8402 cell line apoptosis with some anticancer compounds. Chemical Data Collections. 7-8. 8–50. 3 indexed citations
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Arthur, David Ebuka, et al.. (2016). Quantum modelling of the Structure-Activity and toxicity relationship studies of some potent compounds on SR leukemia cell line. Chemical Data Collections. 5-6. 46–61. 5 indexed citations
18.
Arthur, David Ebuka, Adamu Uzairu, Paul Andrew Mamza, & Stephen Eyije Abechi. (2016). Quantitative structure–activity relationship study on potent anticancer compounds against MOLT-4 and P388 leukemia cell lines. Journal of Advanced Research. 7(5). 823–837. 30 indexed citations
19.
Arthur, David Ebuka, Adamu Uzairu, Paul Andrew Mamza, Stephen Eyije Abechi, & Gideon Adamu Shallangwa. (2016). Insilco study on the toxicity of anti-cancer compounds tested against MOLT-4 and p388 cell lines using GA-MLR technique. Beni-Suef University Journal of Basic and Applied Sciences. 5(4). 320–333. 15 indexed citations
20.
Mamza, Paul Andrew, et al.. (2014). Comparative Study Of Phenol Formaldehyde And Urea Formaldehyde Particleboards From Wood Waste For Sustainable Environment. International journal of scientific and technology research. 3(9). 53–61. 22 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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