Alan Mackay
- Cancer Research top 0.2%
- Cancer Genomics and Diagnostics 29
- Breast Cancer Treatment Studies 23
- Oncology top 0.5%
- Cancer-related Molecular Pathways 12
- HER2/EGFR in Cancer Research 12
- Genetics top 0.5%
- Glioma Diagnosis and Treatment 20
- Genomic variations and chromosomal abnormalities 17
- Pathology and Forensic Medicine top 0.5%
- Molecular Biology top 1%
- Gene expression and cancer classification 20
- Genomics and Chromatin Dynamics 13
- Co-authors
- Jorge S. Reis‐FilhoRachael NatrajanAlan AshworthChris JonesFelipe C. GeyerAnita GrigoriadisKay SavageMaryou B. Lambros
- Cited by
- Cancer ResearchOncologyGenetics
- Journals
- The Journal of Pathology (19 papers)Breast Cancer Research (9 papers)Clinical Cancer Research (7 papers)
- Partner nations
- United KingdomUnited StatesSpain
In The Last Decade
Alan Mackay
134 papers receiving 9.9k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Cancer Research 3.5k
- Oncology 3.9k
- Genetics 1.1k
- Pathology and Forensic Medicine 1.6k
- Molecular Biology 5.5k
Countries citing papers authored by Alan Mackay
This map shows the geographic impact of Alan 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 Alan Mackay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alan Mackay more than expected).
Fields of papers citing papers by Alan Mackay
This network shows the impact of papers produced by Alan 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 Alan Mackay. The network helps show where Alan Mackay may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Alan Mackay, 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 | 2021 | 6 | |
| 2 | 2019 | 51 | |
| 3 | 2015 | 29 | |
| 4 | 2015 | 70 | |
| 5 | 2014 | 16 | |
| 6 | 2013 | 83 | |
| 7 | 2013 | 226 | |
| 8 | 2011 | 144 | |
| 9 | 2011 | 23 | |
| 10 | FGFR1 Amplification Drives Endocrine Therapy Resistance and Is a Therapeutic Target in Breast Cancerbreakdown → | 2010 | 544 |
| 11 | 2010 | 110 | |
| 12 | 2010 | 41 | |
| 13 | 2007 | 173 | |
| 14 | 2007 | 97 | |
| 15 | 2006 | 215 | |
| 16 | Unlocking pathology archives for molecular genetic studies: A reliable method to generate probes for chromogenic and fluorescent in situ hybridisation | 2006 | 3 |
| 17 | 2005 | 83 | |
| 18 | 2004 | 202 | |
| 19 | 2003 | 87 | |
| 20 | Expression Profiling of Purified Normal Human Luminal and Myoepithelial Breast Cells: Identification of Novel Prognostic Markers for Breast Cancer | 2003 | 18 |
About Alan Mackay
Alan Mackay is a scholar working on Cancer Research, Genetics and Oncology, having authored 134 papers that have together received 10.1k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (29 papers), Breast Cancer Treatment Studies (23 papers), Glioma Diagnosis and Treatment (20 papers), Gene expression and cancer classification (20 papers), Genomic variations and chromosomal abnormalities (17 papers), Genomics and Chromatin Dynamics (13 papers), Cancer-related Molecular Pathways (12 papers) and HER2/EGFR in Cancer Research (12 papers). The work is most often cited by research in Cancer Research (3.5k citations), Oncology (3.9k citations) and Genetics (1.1k citations). Alan Mackay has collaborated with scholars based in United Kingdom, United States and Spain. Frequent co-authors include Jorge S. Reis‐Filho, Rachael Natrajan, Alan Ashworth, Chris Jones, Felipe C. Geyer, Anita Grigoriadis, Alan Ashworth, Kay Savage, Maryou B. Lambros and Kerry Fenwick. Their work appears in journals such as The Journal of Pathology, Breast Cancer Research, Clinical Cancer Research, Cancer Research and Oncogene.
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.