Kevin C. Stein

1.0k total citations
19 papers, 650 citations indexed

About

Kevin C. Stein is a scholar working on Molecular Biology, Neurology and Physiology. According to data from OpenAlex, Kevin C. Stein has authored 19 papers receiving a total of 650 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 6 papers in Neurology and 4 papers in Physiology. Recurrent topics in Kevin C. Stein's work include Prion Diseases and Protein Misfolding (9 papers), Neurological diseases and metabolism (6 papers) and Heat shock proteins research (5 papers). Kevin C. Stein is often cited by papers focused on Prion Diseases and Protein Misfolding (9 papers), Neurological diseases and metabolism (6 papers) and Heat shock proteins research (5 papers). Kevin C. Stein collaborates with scholars based in United States, Ireland and Germany. Kevin C. Stein's co-authors include Judith Frydman, Heather L. True, Fabián Morales-Polanco, T. Kelly Rainbolt, Conrad C. Weihl, Rocío Bengoechea, R. Linke, Vincent Huang, H. H. Goebel and Dee R. Denver and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Kevin C. Stein

19 papers receiving 647 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kevin C. Stein United States 15 549 88 81 77 65 19 650
Yaron Dayani United States 9 799 1.5× 132 1.5× 73 0.9× 58 0.8× 91 1.4× 11 880
Stéphanie Simon France 12 653 1.2× 204 2.3× 29 0.4× 47 0.6× 83 1.3× 16 719
F. Gasset-Rosa Spain 10 589 1.1× 72 0.8× 69 0.9× 39 0.5× 111 1.7× 12 689
Xiao Zhen Zhou United States 6 474 0.9× 46 0.5× 109 1.3× 22 0.3× 313 4.8× 8 631
Dale Chaput United States 13 341 0.6× 88 1.0× 32 0.4× 119 1.5× 178 2.7× 32 637
Roman Lyakhovetsky Israel 8 330 0.6× 117 1.3× 13 0.2× 29 0.4× 53 0.8× 8 413
James Mapes United States 9 387 0.7× 171 1.9× 20 0.2× 32 0.4× 84 1.3× 11 653
Youli Jian China 13 326 0.6× 206 2.3× 50 0.6× 16 0.2× 73 1.1× 18 618
Pascale Debey France 11 913 1.7× 50 0.6× 147 1.8× 47 0.6× 29 0.4× 11 1.1k
Nao Hosoda Japan 18 1.2k 2.2× 34 0.4× 45 0.6× 48 0.6× 22 0.3× 31 1.3k

Countries citing papers authored by Kevin C. Stein

Since Specialization
Citations

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

Fields of papers citing papers by Kevin C. Stein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kevin C. Stein. 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 Kevin C. Stein. The network helps show where Kevin C. Stein may publish in the future.

Co-authorship network of co-authors of Kevin C. Stein

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

All Works

19 of 19 papers shown
1.
Stein, Kevin C., et al.. (2024). A machine learning approach uncovers principles and determinants of eukaryotic ribosome pausing. Science Advances. 10(42). eado0738–eado0738. 3 indexed citations
2.
Groh, Carina, Lena Krämer, Kevin C. Stein, et al.. (2023). The unfolded protein response of the endoplasmic reticulum supports mitochondrial biogenesis by buffering nonimported proteins. Molecular Biology of the Cell. 34(10). ar95–ar95. 8 indexed citations
3.
Stein, Kevin C., et al.. (2022). Ageing exacerbates ribosome pausing to disrupt cotranslational proteostasis. Nature. 601(7894). 637–642. 137 indexed citations
4.
Bengoechea, Rocío, Andrew R. Findlay, Hao Shao, et al.. (2020). Inhibition of DNAJ-HSP70 interaction improves strength in muscular dystrophy. Journal of Clinical Investigation. 130(8). 4470–4485. 18 indexed citations
5.
Stein, Kevin C., et al.. (2019). Nascent Polypeptide Domain Topology and Elongation Rate Direct the Cotranslational Hierarchy of Hsp70 and TRiC/CCT. Molecular Cell. 75(6). 1117–1130.e5. 77 indexed citations
6.
Stein, Kevin C. & Judith Frydman. (2018). The stop-and-go traffic regulating protein biogenesis: How translation kinetics controls proteostasis. Journal of Biological Chemistry. 294(6). 2076–2084. 104 indexed citations
7.
Stein, Kevin C., et al.. (2017). Heterologous prion-forming proteins interact to cross-seed aggregation in Saccharomyces cerevisiae. Scientific Reports. 7(1). 5853–5853. 20 indexed citations
8.
Stein, Kevin C., et al.. (2014). Regulation of the Hsp104 Middle Domain Activity Is Critical for Yeast Prion Propagation. PLoS ONE. 9(1). e87521–e87521. 15 indexed citations
9.
Stein, Kevin C. & Heather L. True. (2014). Prion Strains and Amyloid Polymorphism Influence Phenotypic Variation. PLoS Pathogens. 10(9). e1004328–e1004328. 21 indexed citations
10.
Stein, Kevin C. & Heather L. True. (2014). Extensive Diversity of Prion Strains Is Defined by Differential Chaperone Interactions and Distinct Amyloidogenic Regions. PLoS Genetics. 10(5). e1004337–e1004337. 31 indexed citations
11.
Stein, Kevin C. & Heather L. True. (2014). Structural variants of yeast prions show conformer‐specific requirements for chaperone activity. Molecular Microbiology. 93(6). 1156–1171. 22 indexed citations
12.
Stein, Kevin C., Rocío Bengoechea, Matthew B. Harms, Conrad C. Weihl, & Heather L. True. (2014). Myopathy-causing Mutations in an HSP40 Chaperone Disrupt Processing of Specific Client Conformers. Journal of Biological Chemistry. 289(30). 21120–21130. 40 indexed citations
13.
Huang, Vincent, Kevin C. Stein, & Heather L. True. (2013). Spontaneous Variants of the [RNQ+] Prion in Yeast Demonstrate the Extensive Conformational Diversity Possible with Prion Proteins. PLoS ONE. 8(10). e79582–e79582. 27 indexed citations
14.
Estes, Suzanne, et al.. (2011). Natural variation in life history and aging phenotypes is associated with mitochondrial DNA deletion frequency in Caenorhabditis briggsae. BMC Evolutionary Biology. 11(1). 11–11. 33 indexed citations
15.
Stein, Kevin C. & Heather L. True. (2011). The [RNQ+] prion: A model of both functional and pathological amyloid. Prion. 5(4). 291–298. 1 indexed citations
16.
Stein, Kevin C. & Heather L. True. (2011). The [RNQ+] prion: A model of both functional and pathological amyloid. Prion. 5(4). 291–298. 25 indexed citations
17.
Stein, Kevin C. & Heather L. True. (2011). A model of both functional and pathological amyloid. 1 indexed citations
18.
Denver, Dee R., Dana K. Howe, Larry Wilhelm, et al.. (2010). Selective sweeps and parallel mutation in the adaptive recovery from deleterious mutation in Caenorhabditis elegans. Genome Research. 20(12). 1663–1671. 31 indexed citations
19.
Stein, Kevin C., et al.. (1987). Chemical heterogeneity of amyloid in the carpal tunnel syndrome. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 412(1). 37–45. 36 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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