Mustapha Abdullahi
- Computational Theory and Mathematics top 2%
- Organic Chemistry top 10%
- Molecular Biology
- Epidemiology
- Infectious Diseases
- Co-authors
- Shola Elijah AdenijiGideon Adamu ShallangwaAdamu UzairuDavid Ebuka ArthurMuhammad Tukur IbrahimPaul Andrew MamzaAbdurrashid HarunaAnshuman Chandra
- Topics
- Computational Drug Discovery Methods (20 papers)Synthesis and biological activity (14 papers)Influenza Virus Research Studies (10 papers)
- Journals
- SHILAP Revista de lepidopterologíaHeliyonJournal of Biomolecular Structure and Dynamics
In The Last Decade
Mustapha Abdullahi
23 papers receiving 330 citations
Peers
Comparison fields: 5 of 72
- Computational Theory and Mathematics 197
- Organic Chemistry 179
- Molecular Biology 115
- Epidemiology 50
- Infectious Diseases 41
Countries citing papers authored by Mustapha Abdullahi
This map shows the geographic impact of Mustapha Abdullahi'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 Mustapha Abdullahi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mustapha Abdullahi more than expected).
Fields of papers citing papers by Mustapha Abdullahi
This network shows the impact of papers produced by Mustapha Abdullahi. 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 Mustapha Abdullahi. The network helps show where Mustapha Abdullahi may publish in the future.
Co-authorship network of co-authors of Mustapha Abdullahi
This figure shows the co-authorship network connecting the top 25 collaborators of Mustapha Abdullahi. A scholar is included among the top collaborators of Mustapha Abdullahi 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 Mustapha Abdullahi. Mustapha Abdullahi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 13 | |
| 9 | 5 | |
| 10 | 10 | |
| 11 | 19 | |
| 12 | 29 | |
| 13 | 27 | |
| 14 | 17 | |
| 15 | 34 | |
| 16 | 0 | |
| 17 | 20 | |
| 18 | 2 | |
| 19 | 15 | |
| 20 | 2 |
About Mustapha Abdullahi
Mustapha Abdullahi is a scholar working on Computational Theory and Mathematics, Organic Chemistry and Epidemiology, having authored 28 papers that have together received 338 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (20 papers), Synthesis and biological activity (14 papers) and Influenza Virus Research Studies (10 papers). The work is most often cited by research in Computational Theory and Mathematics (197 citations), Organic Chemistry (179 citations) and Toxicology (10 citations). Mustapha Abdullahi has collaborated with scholars based in Nigeria, India and Malaysia. Frequent co-authors include Shola Elijah Adeniji, Gideon Adamu Shallangwa, Adamu Uzairu, David Ebuka Arthur, Muhammad Tukur Ibrahim, Paul Andrew Mamza, Abdurrashid Haruna, Anshuman Chandra, Vijay K. Goel and Iqrar Ahmad. Their work appears in journals such as SHILAP Revista de lepidopterología, Heliyon and Journal of Biomolecular Structure and Dynamics.
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.