Alex K. Lancaster
- Molecular Biology top 5%
- Immunology top 5%
- Infectious Diseases top 5%
- Genetics top 5%
- Epidemiology top 10%
- Co-authors
- Susan LindquistRichard M. SingleOliver D. KingMark P. NelsonOwen D. SolbergRandal HalfmannDaniel F. JaroszGlenys Thomson
- Topics
- Prion Diseases and Protein Misfolding (8 papers)T-cell and B-cell Immunology (8 papers)Fungal and yeast genetics research (6 papers)
- 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
- Molecular Biology 1.6k
- Immunology 717
- Infectious Diseases 374
- Genetics 349
- Epidemiology 314
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 of co-authors of Alex K. Lancaster
This figure shows the co-authorship network connecting the top 25 collaborators of Alex K. Lancaster. A scholar is included among the top collaborators of Alex K. Lancaster 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 Alex K. Lancaster. Alex K. Lancaster is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 37 | |
| 3 | 124 | |
| 4 | 43 | |
| 5 | Cross-Kingdom Chemical Communication Drives a Heritable, Mutually Beneficial Prion-Based Transformation of Metabolism | 1 |
| 6 | 62 | |
| 7 | 124 | |
| 8 | 82 | |
| 9 | 200 | |
| 10 | Yeast Reveal a ‘Druggable’ Rsp5/Nedd4 Network That Ameliorates α-Synuclein Toxicity in Neurons | 2 |
| 11 | 239 | |
| 12 | 135 | |
| 13 | Prions are a common mechanism for phenotypic inheritance in wild yeasts | 7 |
| 14 | 317 | |
| 15 | 22 | |
| 16 | 266 | |
| 17 | 63 | |
| 18 | 254 | |
| 19 | 14 | |
| 20 | 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) and Fungal and yeast genetics research (6 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.