Andrew R. Mackay
- Molecular Biology top 10%
- Cancer Research top 2%
- Oncology top 5%
- Immunology and Allergy top 2%
- Neurology top 5%
- Co-authors
- Antonietta R. FarinaAlberto GulinoAntonella TacconelliLucia CappabiancaUnnur P. ThorgeirssonIsabella ScrepantiMarella MaroderStefano Guadagni
- Topics
- Neuroblastoma Research and Treatments (28 papers)Protease and Inhibitor Mechanisms (21 papers)Peptidase Inhibition and Analysis (12 papers)
- Partner nations
- ItalyUnited KingdomUnited States
In The Last Decade
Andrew R. Mackay
83 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 115
- Molecular Biology 1.2k
- Cancer Research 960
- Oncology 674
- Immunology and Allergy 290
- Neurology 272
Countries citing papers authored by Andrew R. Mackay
This map shows the geographic impact of Andrew R. Mackay'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 Andrew R. Mackay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew R. Mackay more than expected).
Fields of papers citing papers by Andrew R. Mackay
This network shows the impact of papers produced by Andrew R. Mackay. 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 Andrew R. Mackay. The network helps show where Andrew R. Mackay may publish in the future.
Co-authorship network of co-authors of Andrew R. Mackay
This figure shows the co-authorship network connecting the top 25 collaborators of Andrew R. Mackay. A scholar is included among the top collaborators of Andrew R. Mackay 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 Andrew R. Mackay. Andrew R. Mackay 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 | 0 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 4 | |
| 7 | 5 | |
| 8 | 16 | |
| 9 | 16 | |
| 10 | 8 | |
| 11 | 4 | |
| 12 | 16 | |
| 13 | 1 | |
| 14 | 7 | |
| 15 | 14 | |
| 16 | All-trans-retinoic acid induces nuclear factor kappaB activation and matrix metalloproteinase-9 expression and enhances basement membrane invasivity of differentiation-resistant human SK-N-BE 9N neuroblastoma Cells. | 34 |
| 17 | 88 | |
| 18 | 2 | |
| 19 | 23 | |
| 20 | 20 |
About Andrew R. Mackay
Andrew R. Mackay is a scholar working on Cancer Research, Neurology and Immunology and Allergy, having authored 87 papers that have together received 2.3k indexed citations. Recurring topics across this work include Neuroblastoma Research and Treatments (28 papers), Protease and Inhibitor Mechanisms (21 papers) and Peptidase Inhibition and Analysis (12 papers). The work is most often cited by research in Cancer Research (960 citations), Immunology and Allergy (290 citations) and Oncology (674 citations). Andrew R. Mackay has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Antonietta R. Farina, Alberto Gulino, Antonella Tacconelli, Lucia Cappabianca, Unnur P. Thorgeirsson, Isabella Screpanti, Marella Maroder, Stefano Guadagni, Nadia Rucci and M. Di Katie Sebastiano. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Cell Biology and The Journal of Immunology.
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.