Alex K. Lancaster
- Immunology top 5%
- T-cell and B-cell Immunology 8
- Immune Cell Function and Interaction 5
- Neurology top 5%
- Neurological diseases and metabolism 5
- Aging top 5%
- Molecular Biology top 5%
- Prion Diseases and Protein Misfolding 8
- Fungal and yeast genetics research 6
- Bioinformatics and Genomic Networks 3
- Infectious Diseases top 5%
- Antifungal resistance and susceptibility 4
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- Genetic Associations and Epidemiology 3
- Co-authors
- Susan LindquistRichard M. SingleOliver D. KingMark P. NelsonOwen D. SolbergRandal HalfmannDaniel F. JaroszGlenys Thomson
- Cited by
- ImmunologyNeurologyAging
- Partner nations
- United StatesMoroccoUnited Kingdom
In The Last Decade
Alex K. Lancaster
34 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 127
- Immunology 717
- Neurology 262
- Aging 52
- Molecular Biology 1.6k
- Infectious Diseases 374
Countries citing papers authored by Alex K. Lancaster
This map shows the geographic impact of Alex K. Lancaster'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 Alex K. Lancaster with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alex K. Lancaster more than expected).
Fields of papers citing papers by Alex K. Lancaster
This network shows the impact of papers produced by Alex K. Lancaster. 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 Alex K. Lancaster. The network helps show where Alex K. Lancaster may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Alex K. Lancaster, 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 | 2019 | 9 | |
| 2 | 2017 | 37 | |
| 3 | 2016 | 124 | |
| 4 | 2016 | 43 | |
| 5 | Cross-Kingdom Chemical Communication Drives a Heritable, Mutually Beneficial Prion-Based Transformation of Metabolism | 2014 | 1 |
| 6 | 2014 | 62 | |
| 7 | 2014 | 124 | |
| 8 | 2014 | 82 | |
| 9 | 2013 | 200 | |
| 10 | Yeast Reveal a ‘Druggable’ Rsp5/Nedd4 Network That Ameliorates α-Synuclein Toxicity in Neurons | 2013 | 2 |
| 11 | 2013 | 239 | |
| 12 | 2013 | 135 | |
| 13 | Prions are a common mechanism for phenotypic inheritance in wild yeasts | 2012 | 7 |
| 14 | 2012 | 317 | |
| 15 | 2009 | 22 | |
| 16 | 2008 | 266 | |
| 17 | 2008 | 63 | |
| 18 | 2007 | 254 | |
| 19 | 2007 | 14 | |
| 20 | 2006 | 42 |
About Alex K. Lancaster
Alex K. Lancaster is a scholar working on Neurology, Information Systems and Management and Immunology, having authored 34 papers that have together received 3.0k indexed citations. Recurring topics across this work include Prion Diseases and Protein Misfolding (8 papers), T-cell and B-cell Immunology (8 papers), Fungal and yeast genetics research (6 papers), Neurological diseases and metabolism (5 papers), Immune Cell Function and Interaction (5 papers), Antifungal resistance and susceptibility (4 papers), Genetic Associations and Epidemiology (3 papers) and Bioinformatics and Genomic Networks (3 papers). The work is most often cited by research in Immunology (717 citations), Neurology (262 citations) and Aging (52 citations). Alex K. Lancaster has collaborated with scholars based in United States, Morocco and United Kingdom. Frequent co-authors include Susan Lindquist, Richard M. Single, Oliver D. King, Mark P. Nelson, Owen D. Solberg, Randal Halfmann, Daniel F. Jarosz, Glenys Thomson, Luke Whitesell and G. Thomson. Their work appears in journals such as Nature, Science and Cell.
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.