John Suberu
Impact in
- Pharmacology top 10%
- Pharmacological Effects of Natural Compounds
- Drug-Induced Hepatotoxicity and Protection
Papers in
-
- Plant biochemistry and biosynthesis 5
- Plant tissue culture and regeneration 2
-
- Computational Drug Discovery Methods 7
- Co-authors
- Alexei A. Lapkin (9 shared papers)Guy C. Barker (7 shared papers)N. S. Sullivan (4 shared papers)Isolda Romero‐Canelón (1 shared paper)Neil F. Sullivan (1 shared paper)Lauren Jacobs (2 shared papers)Alexander P. Gorka (2 shared papers)Paul D. Roepe (2 shared papers)
- Journals
- Journal of Pharmaceutical and Biomedical Analysis (2 papers)PLoS ONE (2 papers)Malaria Journal (1 paper)ACS Sustainable Chemistry & Engineering (1 paper)Journal of Biotechnology (1 paper)
- Partner nations
- United KingdomGermanyAustralia
In The Last Decade
John Suberu
13 papers receiving 314 citations
Peers
Comparison fields: 5 of 80
- Pharmacology 77
- Energy Engineering and Power Technology 10
- Computational Theory and Mathematics 46
- Public Health, Environmental and Occupational Health 82
- Biochemistry 15
Countries citing papers authored by John Suberu
This map shows the geographic impact of John Suberu'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 John Suberu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Suberu more than expected).
Fields of papers citing papers by John Suberu
This network shows the impact of papers produced by John Suberu. 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 John Suberu. The network helps show where John Suberu may publish in the future.
Co-authors
The 25 scholars most cited alongside John Suberu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 75 | |
| 2 | 2013 | 65 | |
| 3 | 2013 | 40 | |
| 4 | 2016 | 30 | |
| 5 | 2013 | 21 | |
| 6 | 2016 | 17 | |
| 7 | 2015 | 15 | |
| 8 | 2013 | 14 | |
| 9 | 2014 | 13 | |
| 10 | 2018 | 11 | |
| 11 | 2016 | 9 | |
| 12 | 2014 | 5 | |
| 13 | 2025 | 3 | |
| 14 | 2025 | 0 |
About John Suberu
John Suberu is a scholar working on Molecular Biology, Computational Theory and Mathematics, Public Health, Environmental and Occupational Health, Pharmacology and Catalysis, having authored 14 papers that have together received 318 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (7 papers), Malaria Research and Control (5 papers), Plant biochemistry and biosynthesis (5 papers), Drug-Induced Hepatotoxicity and Protection (3 papers), Pharmacological Effects of Natural Compounds (2 papers), Ammonia Synthesis and Nitrogen Reduction (2 papers), Plant tissue culture and regeneration (2 papers) and Recycling and Waste Management Techniques (1 paper). The work is most often cited by research in Pharmacology (77 citations), Energy Engineering and Power Technology (10 citations), Computational Theory and Mathematics (46 citations), Public Health, Environmental and Occupational Health (82 citations) and Biochemistry (15 citations). John Suberu has collaborated with scholars based in United Kingdom, Germany and Australia. Frequent co-authors include Alexei A. Lapkin, Guy C. Barker, N. S. Sullivan, Isolda Romero‐Canelón, Neil F. Sullivan, Lauren Jacobs, Alexander P. Gorka, Paul D. Roepe, Lijiang Song and Susan E. Slade. Their work appears in journals such as Journal of Pharmaceutical and Biomedical Analysis, PLoS ONE, Malaria Journal, ACS Sustainable Chemistry & Engineering and Journal of Biotechnology.
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.