David Ebuka Arthur
- Organic Chemistry top 5%
- Computational Theory and Mathematics top 2%
- Molecular Biology
- Materials Chemistry
- Civil and Structural Engineering top 10%
- Co-authors
- Adamu UzairuShola Elijah AdenijiPaul Ocheje AmehPaul Andrew MamzaStephen Eyije AbechiGideon Adamu ShallangwaMustapha AbdullahiAbdurrashid Haruna
- Topics
- Computational Drug Discovery Methods (27 papers)Synthesis and biological activity (23 papers)Cancer therapeutics and mechanisms (8 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of Molecular StructureHeliyon
- Partner nations
- NigeriaPalestinian TerritorySaudi Arabia
In The Last Decade
David Ebuka Arthur
56 papers receiving 938 citations
Peers
Comparison fields: 5 of 109
- Organic Chemistry 358
- Computational Theory and Mathematics 330
- Molecular Biology 253
- Materials Chemistry 233
- Civil and Structural Engineering 153
Countries citing papers authored by David Ebuka Arthur
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 25 | |
| 2 | 0 | |
| 3 | 5 | |
| 4 | 5 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 29 | |
| 8 | 22 | |
| 9 | 27 | |
| 10 | 17 | |
| 11 | 34 | |
| 12 | 2 | |
| 13 | 27 | |
| 14 | 5 | |
| 15 | 14 | |
| 16 | 3 | |
| 17 | 5 | |
| 18 | 30 | |
| 19 | 15 | |
| 20 | Comparative Study Of Phenol Formaldehyde And Urea Formaldehyde Particleboards From Wood Waste For Sustainable Environment | 22 |
About David Ebuka Arthur
David Ebuka Arthur is a scholar working on Computational Theory and Mathematics, Organic Chemistry and Applied Microbiology and Biotechnology, having authored 58 papers that have together received 962 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (27 papers), Synthesis and biological activity (23 papers) and Cancer therapeutics and mechanisms (8 papers). The work is most often cited by research in Metals and Alloys (89 citations), Computational Theory and Mathematics (330 citations) and Organic Chemistry (358 citations). David Ebuka Arthur has collaborated with scholars based in Nigeria, Palestinian Territory and Saudi Arabia. Frequent 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. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Molecular Structure and Heliyon.
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.