Muhammad Tukur Ibrahim
- Computational Theory and Mathematics top 1%
- Organic Chemistry top 5%
- Molecular Biology
- Oncology
- Public Health, Environmental and Occupational Health
- Co-authors
- Adamu UzairuGideon Adamu ShallangwaSani UbaAbdullahi Bello UmarPaul Andrew MamzaMustapha AbdullahiStephen Eyije AbechiDavid Ebuka Arthur
- Topics
- Computational Drug Discovery Methods (52 papers)Synthesis and biological activity (33 papers)Cancer therapeutics and mechanisms (14 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports
In The Last Decade
Muhammad Tukur Ibrahim
72 papers receiving 689 citations
Peers
Comparison fields: 5 of 72
- Computational Theory and Mathematics 372
- Organic Chemistry 345
- Molecular Biology 254
- Oncology 61
- Public Health, Environmental and Occupational Health 61
Countries citing papers authored by Muhammad Tukur Ibrahim
This map shows the geographic impact of Muhammad Tukur Ibrahim'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 Muhammad Tukur Ibrahim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muhammad Tukur Ibrahim more than expected).
Fields of papers citing papers by Muhammad Tukur Ibrahim
This network shows the impact of papers produced by Muhammad Tukur Ibrahim. 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 Muhammad Tukur Ibrahim. The network helps show where Muhammad Tukur Ibrahim may publish in the future.
Co-authorship network of co-authors of Muhammad Tukur Ibrahim
This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Tukur Ibrahim. A scholar is included among the top collaborators of Muhammad Tukur Ibrahim 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 Muhammad Tukur Ibrahim. Muhammad Tukur Ibrahim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 6 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 7 | |
| 9 | 6 | |
| 10 | 0 | |
| 11 | 10 | |
| 12 | 4 | |
| 13 | 9 | |
| 14 | 3 | |
| 15 | 2 | |
| 16 | 9 | |
| 17 | 4 | |
| 18 | 6 | |
| 19 | 29 | |
| 20 | 47 |
About Muhammad Tukur Ibrahim
Muhammad Tukur Ibrahim is a scholar working on Computational Theory and Mathematics, Organic Chemistry and Hepatology, having authored 83 papers that have together received 700 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (52 papers), Synthesis and biological activity (33 papers) and Cancer therapeutics and mechanisms (14 papers). The work is most often cited by research in Computational Theory and Mathematics (372 citations), Organic Chemistry (345 citations) and Toxicology (18 citations). Muhammad Tukur Ibrahim has collaborated with scholars based in Nigeria, India and Morocco. Frequent co-authors include Adamu Uzairu, Gideon Adamu Shallangwa, Sani Uba, Abdullahi Bello Umar, Paul Andrew Mamza, Mustapha Abdullahi, Stephen Eyije Abechi, David Ebuka Arthur, Stephen Ejeh and Ibrahim Abdulkadir. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.
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.