Alex K. Lancaster

4.0k total citations
34 papers, 3.0k citations indexed

About

Alex K. Lancaster is a scholar working on Molecular Biology, Genetics and Immunology. According to data from OpenAlex, Alex K. Lancaster has authored 34 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 8 papers in Genetics and 8 papers in Immunology. Recurrent topics in Alex K. Lancaster's 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). Alex K. Lancaster is often cited by papers focused on Prion Diseases and Protein Misfolding (8 papers), T-cell and B-cell Immunology (8 papers) and Fungal and yeast genetics research (6 papers). Alex K. Lancaster collaborates with scholars based in United States, Morocco and United Kingdom. Alex K. Lancaster's 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 and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Alex K. Lancaster

34 papers receiving 3.0k citations

Peers

Alex K. Lancaster

IMMUN

GENET

EPIDE

Heiner Schaal Germany

Eric D. Chow United States

Yair Benita United States

Ofer Cohen Israel

David S. Askew United States

Hakju Kwon Canada

Edward Nieves United States

Ashraful Haque Australia

Mike Reichelt United States

Ian A. Taylor United Kingdom

Heiner Schaal Germany

Alex K. Lancaster

1.8k ×1.1

346 ×0.5

IMMUN

661 ×1.8

314 ×0.9

GENET

222 ×0.7

EPIDE

Citations per year, relative to Alex K. Lancaster Alex K. Lancaster (= 1×) peers Heiner Schaal

Countries citing papers authored by Alex K. Lancaster

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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20 of 20 papers shown

Xiong, Kun, Alex K. Lancaster, Mark L. Siegal, & Joanna Masel. (2019). Feed-forward regulation adaptively evolves via dynamics rather than topology when there is intrinsic noise. Nature Communications. 10(1). 2418–2418. 9 indexed citations

McLellan, Catherine A., Benjamin Vincent, Norma V. Solis, et al.. (2017). Inhibiting mitochondrial phosphate transport as an unexploited antifungal strategy. Nature Chemical Biology. 14(2). 135–141. 37 indexed citations

Chakrabortee, Sohini, Can Kayatekin, Gregory A. Newby, et al.. (2016). Luminidependens (LD) is an Arabidopsis protein with prion behavior. Proceedings of the National Academy of Sciences. 113(21). 6065–6070. 124 indexed citations

Vincent, Benjamin, Alex K. Lancaster, Ruth Scherz‐Shouval, et al.. (2016). A Fungal-Selective Cytochrome bc1 Inhibitor Impairs Virulence and Prevents the Evolution of Drug Resistance. Cell chemical biology. 23(8). 978–991. 43 indexed citations

Jarosz, Daniel F., W. Lloyd Ung, Alex K. Lancaster, et al.. (2014). Cross-Kingdom Chemical Communication Drives a Heritable, Mutually Beneficial Prion-Based Transformation of Metabolism. DSpace@MIT (Massachusetts Institute of Technology). 1 indexed citations

Clarke, Thomas H., Jessica E. Garb, Cheryl Y. Hayashi, et al.. (2014). Multi-tissue transcriptomics of the black widow spider reveals expansions, co-options, and functional processes of the silk gland gene toolkit. BMC Genomics. 15(1). 365–365. 62 indexed citations

Jarosz, Daniel F., Jessica C. S. Brown, Manoshi Sen Datta, et al.. (2014). Cross-Kingdom Chemical Communication Drives a Heritable, Mutually Beneficial Prion-Based Transformation of Metabolism. Cell. 158(5). 1083–1093. 124 indexed citations

Jarosz, Daniel F., Alex K. Lancaster, Jessica C. S. Brown, & Susan Lindquist. (2014). An Evolutionarily Conserved Prion-like Element Converts Wild Fungi from Metabolic Specialists to Generalists. Cell. 158(5). 1072–1082. 82 indexed citations

Tardiff, Daniel F., Nathan T. Jui, Vikram Khurana, et al.. (2013). Yeast Reveal a “Druggable” Rsp5/Nedd4 Network that Ameliorates α-Synuclein Toxicity in Neurons. Science. 342(6161). 979–983. 200 indexed citations

10.

Jui, Nathan T., Stephen L. Buchwald, Susan Lindquist, et al.. (2013). Yeast Reveal a ‘Druggable’ Rsp5/Nedd4 Network That Ameliorates α-Synuclein Toxicity in Neurons. DSpace@MIT (Massachusetts Institute of Technology). 2 indexed citations

11.

Vincent, Benjamin, Alex K. Lancaster, Ruth Scherz‐Shouval, Luke Whitesell, & Susan Lindquist. (2013). Fitness Trade-offs Restrict the Evolution of Resistance to Amphotericin B. PLoS Biology. 11(10). e1001692–e1001692. 239 indexed citations

12.

Lancaster, Alex K., et al.. (2013). Heritable Remodeling of Yeast Multicellularity by an Environmentally Responsive Prion. Cell. 153(1). 153–165. 135 indexed citations

13.

Halfmann, Randal, Daniel F. Jarosz, Sandra K. Jones, et al.. (2012). Prions are a common mechanism for phenotypic inheritance in wild yeasts. RePEc: Research Papers in Economics. 7 indexed citations

14.

Halfmann, Randal, Daniel F. Jarosz, Sandra K. Jones, et al.. (2012). Prions are a common mechanism for phenotypic inheritance in wild yeasts. Nature. 482(7385). 363–368. 317 indexed citations

15.

Lancaster, Alex K. & Joanna Masel. (2009). THE EVOLUTION OF REVERSIBLE SWITCHES IN THE PRESENCE OF IRREVERSIBLE MIMICS. Evolution. 63(9). 2350–2362. 22 indexed citations

16.

Solberg, Owen D., Steven J. Mack, Alex K. Lancaster, et al.. (2008). Balancing selection and heterogeneity across the classical human leukocyte antigen loci: A meta-analytic review of 497 population studies. Human Immunology. 69(7). 443–464. 266 indexed citations

17.

Mack, Steven J., Bin Tu, A. Lázaro, et al.. (2008). HLA‐A, ‐B, ‐C, and ‐DRB1 allele and haplotype frequencies distinguish Eastern European Americans from the general European American population. Tissue Antigens. 73(1). 17–32. 63 indexed citations

18.

Lancaster, Alex K., Richard M. Single, Owen D. Solberg, Mark P. Nelson, & G. Thomson. (2007). PyPop update – a software pipeline for large‐scale multilocus population genomics. Tissue Antigens. 69(s1). 192–197. 254 indexed citations

19.

Tang, Ting, Lihua Hou, Minghua Chen, et al.. (2007). HLA Haplotypes in Singapore: A Study of Mothers and Their Cord Blood Units. Human Immunology. 68(5). 430–438. 14 indexed citations

20.

Tu, Bin, Steven J. Mack, A. Lázaro, et al.. (2006). HLA‐A, ‐B, ‐C, ‐DRB1 allele and haplotype frequencies in an African American population. Tissue Antigens. 69(1). 73–85. 42 indexed citations

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.

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