Randal Halfmann

4.1k total citations · 2 hit papers
38 papers, 3.1k citations indexed

About

Randal Halfmann is a scholar working on Molecular Biology, Neurology and Immunology. According to data from OpenAlex, Randal Halfmann has authored 38 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Molecular Biology, 7 papers in Neurology and 6 papers in Immunology. Recurrent topics in Randal Halfmann's work include Prion Diseases and Protein Misfolding (17 papers), RNA Research and Splicing (10 papers) and Neurological diseases and metabolism (7 papers). Randal Halfmann is often cited by papers focused on Prion Diseases and Protein Misfolding (17 papers), RNA Research and Splicing (10 papers) and Neurological diseases and metabolism (7 papers). Randal Halfmann collaborates with scholars based in United States, United Kingdom and Australia. Randal Halfmann's co-authors include Susan Lindquist, Simon Alberti, Oliver D. King, Alex K. Lancaster, Xin Cai, Qiu‐Xing Jiang, Siqi Liu, Hui Xu, Jueqi Chen and Zhijian J. Chen and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Randal Halfmann

35 papers receiving 3.1k citations

Hit Papers

A Systematic Survey Identifies Prions and Illuminates Seq... 2009 2026 2014 2020 2009 2014 250 500 750

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Randal Halfmann United States 20 2.8k 516 457 350 288 38 3.1k
David W. Colby United States 21 2.2k 0.8× 636 1.2× 672 1.5× 141 0.4× 132 0.5× 23 2.6k
Jens Tyedmers Germany 18 1.7k 0.6× 183 0.4× 235 0.5× 114 0.3× 694 2.4× 28 2.2k
Marı́a Gasset Spain 30 3.7k 1.3× 1.3k 2.6× 614 1.3× 457 1.3× 194 0.7× 76 4.4k
Sabine Gilch Canada 27 2.3k 0.8× 837 1.6× 369 0.8× 75 0.2× 172 0.6× 75 2.7k
Jennifer N. Rauch United States 24 1.7k 0.6× 249 0.5× 710 1.6× 133 0.4× 479 1.7× 31 2.5k
Eric Ka‐Wai Hui United States 34 1.1k 0.4× 247 0.5× 513 1.1× 339 1.0× 226 0.8× 66 2.5k
James Hope United Kingdom 29 1.7k 0.6× 656 1.3× 273 0.6× 74 0.2× 149 0.5× 53 2.3k
M. Inmaculada Barrasa United States 27 2.5k 0.9× 170 0.3× 243 0.5× 323 0.9× 130 0.5× 45 3.7k
P. R. Carnegie Australia 31 1.6k 0.6× 148 0.3× 371 0.8× 437 1.2× 233 0.8× 109 2.8k
Anthony R. Clarke United Kingdom 20 1.8k 0.6× 551 1.1× 172 0.4× 136 0.4× 77 0.3× 26 2.1k

Countries citing papers authored by Randal Halfmann

Since Specialization
Citations

This map shows the geographic impact of Randal Halfmann'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 Randal Halfmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Randal Halfmann more than expected).

Fields of papers citing papers by Randal Halfmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Randal Halfmann. 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 Randal Halfmann. The network helps show where Randal Halfmann may publish in the future.

Co-authorship network of co-authors of Randal Halfmann

This figure shows the co-authorship network connecting the top 25 collaborators of Randal Halfmann. A scholar is included among the top collaborators of Randal Halfmann 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 Randal Halfmann. Randal Halfmann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Campbell, Samuel, et al.. (2025). Functional constraints of wtf killer meiotic drivers. PLoS Genetics. 21(2). e1011534–e1011534. 2 indexed citations
2.
Kobe, Boštjan, Jeffrey D. Nanson, Antje Blumenthal, et al.. (2025). Signalling by co-operative higher-order assembly formation: linking evidence at molecular and cellular levels. Biochemical Journal. 482(5). 275–294. 3 indexed citations
3.
Singh, Amar, Petras J. Kundrotas, Randal Halfmann, et al.. (2025). Highly Optimized Simulation of Atomic Resolution Cell-Like Protein Environment. The Journal of Physical Chemistry B. 129(12). 3183–3190.
4.
Zhang, Jiahui, Alex Von Schulze, Jay R. Unruh, et al.. (2023). Pathologic polyglutamine aggregation begins with a self-poisoning polymer crystal. eLife. 12. 10 indexed citations
5.
Gama, Alejandro Rodríguez, et al.. (2023). DAmFRET measures saturating concentrations and toxicities of protein phase transitions in vivo. Molecular Biology of the Cell. 34(6). br7–br7. 2 indexed citations
6.
Quadir, Farhan, Raj S. Roy, Randal Halfmann, & Jianlin Cheng. (2021). DNCON2_Inter: predicting interchain contacts for homodimeric and homomultimeric protein complexes using multiple sequence alignments of monomers and deep learning. Scientific Reports. 11(1). 12295–12295. 18 indexed citations
7.
Nuckolls, Nicole L., Jeffrey J. Lange, Kexi Yi, et al.. (2020). The wtf4 meiotic driver utilizes controlled protein aggregation to generate selective cell death. eLife. 9. 23 indexed citations
8.
Holliday, Michael, Axel Witt, Alejandro Rodríguez Gama, et al.. (2019). Structures of autoinhibited and polymerized forms of CARD9 reveal mechanisms of CARD9 and CARD11 activation. Nature Communications. 10(1). 26 indexed citations
9.
Gama, Alejandro Rodríguez, et al.. (2019). Detecting and Characterizing Protein Self-Assembly In Vivo by Flow Cytometry. Journal of Visualized Experiments. 8 indexed citations
10.
Halfmann, Randal. (2016). A glass menagerie of low complexity sequences. Current Opinion in Structural Biology. 38. 18–25. 28 indexed citations
11.
Cai, Xin, Jueqi Chen, Hui Xu, et al.. (2014). Prion-like Polymerization Underlies Signal Transduction in Antiviral Immune Defense and Inflammasome Activation. Cell. 156(6). 1207–1222. 464 indexed citations breakdown →
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.
Wang, Gelin, Xiaoming Wang, Hong‐Jeng Yu, et al.. (2012). Small-molecule activation of the TRAIL receptor DR5 in human cancer cells. Nature Chemical Biology. 9(2). 84–89. 106 indexed citations
15.
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
16.
Halfmann, Randal, Simon Alberti, Rajaraman Krishnan, et al.. (2011). Opposing Effects of Glutamine and Asparagine Govern Prion Formation by Intrinsically Disordered Proteins. Molecular Cell. 43(1). 72–84. 150 indexed citations
17.
Alberti, Simon, Randal Halfmann, & Susan Lindquist. (2010). Biochemical, Cell Biological, and Genetic Assays to Analyze Amyloid and Prion Aggregation in Yeast. Methods in enzymology on CD-ROM/Methods in enzymology. 470. 709–734. 63 indexed citations
18.
Halfmann, Randal, Simon Alberti, & Susan Lindquist. (2010). Prions, protein homeostasis, and phenotypic diversity. Trends in Cell Biology. 20(3). 125–133. 131 indexed citations
19.
Alberti, Simon, et al.. (2009). A Systematic Survey Identifies Prions and Illuminates Sequence Features of Prionogenic Proteins. Cell. 137(1). 146–158. 785 indexed citations breakdown →
20.
Halfmann, Randal & Susan Lindquist. (2008). Screening for Amyloid Aggregation by Semi-Denaturing Detergent-Agarose Gel Electrophoresis. Journal of Visualized Experiments. 145 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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