Claire Mackie
- Molecular Biology top 10%
- Pharmacology top 0.5%
- Computational Theory and Mathematics top 1%
- Oncology top 10%
- Cellular and Molecular Neuroscience top 5%
- Co-authors
- Stefan S. De BuckJ. MenschPatrick AugustijnsVikash K. SinhaRon GilissenKantharaj EthirajuluEmanuele CarosatiTrevor Howe
- Topics
- Neuroscience and Neuropharmacology Research (16 papers)Drug Transport and Resistance Mechanisms (13 papers)Receptor Mechanisms and Signaling (11 papers)
- Journals
- Journal of Medicinal ChemistryJournal of Pharmacology and Experimental TherapeuticsInternational Journal of Pharmaceutics
- Partner nations
- BelgiumUnited StatesUnited Kingdom
In The Last Decade
Claire Mackie
49 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 118
- Molecular Biology 793
- Pharmacology 490
- Computational Theory and Mathematics 421
- Oncology 394
- Cellular and Molecular Neuroscience 371
Countries citing papers authored by Claire Mackie
This map shows the geographic impact of Claire Mackie'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 Claire Mackie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Claire Mackie more than expected).
Fields of papers citing papers by Claire Mackie
This network shows the impact of papers produced by Claire Mackie. 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 Claire Mackie. The network helps show where Claire Mackie may publish in the future.
Co-authorship network of co-authors of Claire Mackie
This figure shows the co-authorship network connecting the top 25 collaborators of Claire Mackie. A scholar is included among the top collaborators of Claire Mackie 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 Claire Mackie. Claire Mackie is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 24 | |
| 2 | 2 | |
| 3 | 7 | |
| 4 | 6 | |
| 5 | 3 | |
| 6 | 52 | |
| 7 | 18 | |
| 8 | 11 | |
| 9 | 15 | |
| 10 | 23 | |
| 11 | 53 | |
| 12 | 44 | |
| 13 | 125 | |
| 14 | 4 | |
| 15 | 37 | |
| 16 | 75 | |
| 17 | 57 | |
| 18 | 3 | |
| 19 | 7 | |
| 20 | 7 |
About Claire Mackie
Claire Mackie is a scholar working on Pharmaceutical Science, Pharmacology and Cellular and Molecular Neuroscience, having authored 49 papers that have together received 2.0k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (16 papers), Drug Transport and Resistance Mechanisms (13 papers) and Receptor Mechanisms and Signaling (11 papers). The work is most often cited by research in Pharmacology (490 citations), Pharmaceutical Science (191 citations) and Biological Psychiatry (67 citations). Claire Mackie has collaborated with scholars based in Belgium, United States and United Kingdom. Frequent co-authors include Stefan S. De Buck, J. Mensch, Patrick Augustijns, Vikash K. Sinha, Ron Gilissen, Kantharaj Ethirajulu, Emanuele Carosati, Trevor Howe, Benoît De Boeck and Gabriele Cruciani. Their work appears in journals such as Journal of Medicinal Chemistry, Journal of Pharmacology and Experimental Therapeutics and International Journal of Pharmaceutics.
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.