Michael P. Agius
Impact in
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- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
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- Computational Drug Discovery Methods
Papers in
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- Protein Degradation and Inhibitors 4
- Melanoma and MAPK Pathways 2
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- Multiple Myeloma Research and Treatments 5
- Chronic Myeloid Leukemia Treatments 2
- Co-authors
- Susan C. Baker (1 shared paper)Yahira M. Báez-Santos (1 shared paper)Andrew D. Mesecar (1 shared paper)Nicole D. Armstrong (1 shared paper)Anna M. Mielech (1 shared paper)Michael W. Wilson (1 shared paper)Scott D. Larsen (1 shared paper)Scott J. Barraza (1 shared paper)
- Journals
- Blood (4 papers)Journal of Medicinal Chemistry (1 paper)Chemical Communications (1 paper)Nature Chemical Biology (1 paper)International Journal of Radiation Oncology*Biology*Physics (1 paper)
- Partner nations
- United StatesFrance
In The Last Decade
Michael P. Agius
14 papers receiving 342 citations
Peers
Comparison fields: 5 of 65
- Infectious Diseases 97
- Computational Theory and Mathematics 87
- Biomaterials 47
- Molecular Biology 136
- Organic Chemistry 58
Countries citing papers authored by Michael P. Agius
This map shows the geographic impact of Michael P. Agius'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 Michael P. Agius with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael P. Agius more than expected).
Fields of papers citing papers by Michael P. Agius
This network shows the impact of papers produced by Michael P. Agius. 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 Michael P. Agius. The network helps show where Michael P. Agius may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael P. Agius, 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 | 169 | |
| 2 | 2023 | 75 | |
| 3 | 2020 | 25 | |
| 4 | 2020 | 20 | |
| 5 | 2013 | 18 | |
| 6 | 2021 | 16 | |
| 7 | 2019 | 12 | |
| 8 | 2022 | 3 | |
| 9 | 2019 | 2 | |
| 10 | 2018 | 1 | |
| 11 | 2021 | 1 | |
| 12 | 2024 | 1 | |
| 13 | 2021 | 1 | |
| 14 | 2024 | 1 |
About Michael P. Agius
Michael P. Agius is a scholar working on Molecular Biology, Hematology, Organic Chemistry, Infectious Diseases and Genetics, having authored 14 papers that have together received 345 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (5 papers), Protein Degradation and Inhibitors (4 papers), Chronic Myeloid Leukemia Treatments (2 papers), Melanoma and MAPK Pathways (2 papers), Quinazolinone synthesis and applications (2 papers), Chronic Lymphocytic Leukemia Research (2 papers), Computational Drug Discovery Methods (2 papers) and Synthesis and biological activity (1 paper). The work is most often cited by research in Infectious Diseases (97 citations), Computational Theory and Mathematics (87 citations), Biomaterials (47 citations), Molecular Biology (136 citations) and Organic Chemistry (58 citations). Michael P. Agius has collaborated with scholars based in United States and France. Frequent co-authors include Susan C. Baker, Yahira M. Báez-Santos, Andrew D. Mesecar, Nicole D. Armstrong, Anna M. Mielech, Michael W. Wilson, Scott D. Larsen, Scott J. Barraza, C. Mathieu and Alexandre Detappe. Their work appears in journals such as Blood, Journal of Medicinal Chemistry, Chemical Communications, Nature Chemical Biology and International Journal of Radiation Oncology*Biology*Physics.
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.