Jean-Paul Ebejer
Impact in
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- Computational Drug Discovery Methods
Papers in
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- Metabolomics and Mass Spectrometry Studies 3
- Protein Structure and Dynamics 3
- Genetics, Bioinformatics, and Biomedical Research 2
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- Computational Drug Discovery Methods 8
- Co-authors
- Charlotte M. Deane (5 shared papers)Garrett M. Morris (3 shared papers)Paul W. Finn (5 shared papers)M. Charlton (1 shared paper)Gillian M. Martin (1 shared paper)Simone Fulle (3 shared papers)Jiye Shi (3 shared papers)Sebastian Kelm (2 shared papers)
- Journals
- Journal of Chemical Information and Modeling (4 papers)Scientific Reports (1 paper)International Journal for Parasitology (1 paper)European Journal of Human Genetics (1 paper)Proteins Structure Function and Bioinformatics (1 paper)
- Partner nations
- MaltaUnited KingdomLatvia
In The Last Decade
Jean-Paul Ebejer
17 papers receiving 449 citations
Peers
Comparison fields: 5 of 102
- Computational Theory and Mathematics 184
- Health Informatics 6
- Molecular Medicine 16
- Molecular Biology 197
- Public Health, Environmental and Occupational Health 67
Countries citing papers authored by Jean-Paul Ebejer
This map shows the geographic impact of Jean-Paul Ebejer'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 Jean-Paul Ebejer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jean-Paul Ebejer more than expected).
Fields of papers citing papers by Jean-Paul Ebejer
This network shows the impact of papers produced by Jean-Paul Ebejer. 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 Jean-Paul Ebejer. The network helps show where Jean-Paul Ebejer may publish in the future.
Co-authors
The 25 scholars most cited alongside Jean-Paul Ebejer, 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 | 2012 | 163 | |
| 2 | 2019 | 56 | |
| 3 | 2012 | 46 | |
| 4 | 2016 | 46 | |
| 5 | 2013 | 33 | |
| 6 | 2022 | 33 | |
| 7 | 2013 | 19 | |
| 8 | 2020 | 18 | |
| 9 | 2014 | 10 | |
| 10 | 2013 | 7 | |
| 11 | 2019 | 7 | |
| 12 | 2014 | 6 | |
| 13 | 2021 | 5 | |
| 14 | 2022 | 3 | |
| 15 | 2018 | 3 | |
| 16 | 2017 | 2 | |
| 17 | 2021 | 2 | |
| 18 | 2024 | 0 | |
| 19 | 2021 | 0 | |
| 20 | 2016 | 0 |
About Jean-Paul Ebejer
Jean-Paul Ebejer is a scholar working on Molecular Biology, Computational Theory and Mathematics, Information Systems, Materials Chemistry and Public Health, Environmental and Occupational Health, having authored 20 papers that have together received 459 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (8 papers), Machine Learning in Materials Science (3 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Protein Structure and Dynamics (3 papers), Genetics, Bioinformatics, and Biomedical Research (2 papers), Cell Image Analysis Techniques (2 papers), Analytical Chemistry and Chromatography (2 papers) and Advanced Software Engineering Methodologies (2 papers). The work is most often cited by research in Computational Theory and Mathematics (184 citations), Health Informatics (6 citations), Molecular Medicine (16 citations), Molecular Biology (197 citations) and Public Health, Environmental and Occupational Health (67 citations). Jean-Paul Ebejer has collaborated with scholars based in Malta, United Kingdom and Latvia. Frequent co-authors include Charlotte M. Deane, Garrett M. Morris, Paul W. Finn, M. Charlton, Gillian M. Martin, Simone Fulle, Jiye Shi, Sebastian Kelm, Michael J. Blackman and Aigars Jirgensons. Their work appears in journals such as Journal of Chemical Information and Modeling, Scientific Reports, International Journal for Parasitology, European Journal of Human Genetics and Proteins Structure Function and Bioinformatics.
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.