Daniel F. Jarosz

5.3k total citations · 1 hit paper
63 papers, 3.7k citations indexed

About

Daniel F. Jarosz is a scholar working on Molecular Biology, Genetics and Neurology. According to data from OpenAlex, Daniel F. Jarosz has authored 63 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Molecular Biology, 11 papers in Genetics and 9 papers in Neurology. Recurrent topics in Daniel F. Jarosz's work include Prion Diseases and Protein Misfolding (23 papers), Fungal and yeast genetics research (13 papers) and RNA Research and Splicing (13 papers). Daniel F. Jarosz is often cited by papers focused on Prion Diseases and Protein Misfolding (23 papers), Fungal and yeast genetics research (13 papers) and RNA Research and Splicing (13 papers). Daniel F. Jarosz collaborates with scholars based in United States, Poland and Israel. Daniel F. Jarosz's co-authors include Susan Lindquist, Mikko Taipale, Graham C. Walker, Veronica G. Godoy, Alex K. Lancaster, Amelia Chang, Sandra K. Jones, Anupam K. Chakravarty, James C. Delaney and John M. Essigmann and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Daniel F. Jarosz

60 papers receiving 3.7k citations

Hit Papers

HSP90 at the hub of protein homeostasis: emerging mechani... 2010 2026 2015 2020 2010 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel F. Jarosz United States 26 3.3k 579 369 234 228 63 3.7k
Gregory L. Blatch South Africa 40 3.7k 1.1× 387 0.7× 625 1.7× 318 1.4× 72 0.3× 123 5.1k
Jianxing Song Singapore 33 2.4k 0.7× 334 0.6× 405 1.1× 124 0.5× 41 0.2× 116 3.6k
Pascale Barbier France 29 1.4k 0.4× 206 0.4× 524 1.4× 368 1.6× 94 0.4× 72 2.7k
Joseph P. Hendrick United States 28 4.2k 1.3× 1.1k 1.9× 482 1.3× 192 0.8× 57 0.3× 44 5.4k
Doron Rapaport Germany 54 6.5k 2.0× 530 0.9× 729 2.0× 185 0.8× 116 0.5× 126 7.4k
N.H. Keep United Kingdom 35 2.5k 0.8× 563 1.0× 596 1.6× 119 0.5× 71 0.3× 53 3.7k
Elias Eliopoulos Greece 30 2.0k 0.6× 306 0.5× 189 0.5× 353 1.5× 60 0.3× 148 3.7k
Anton A. Komar United States 40 4.9k 1.5× 618 1.1× 490 1.3× 242 1.0× 135 0.6× 110 5.9k
Jolene K. Diedrich United States 38 2.7k 0.8× 247 0.4× 326 0.9× 316 1.4× 71 0.3× 101 4.3k
Hisaaki Taniguchi Japan 40 3.4k 1.0× 582 1.0× 1.0k 2.7× 507 2.2× 82 0.4× 90 5.4k

Countries citing papers authored by Daniel F. Jarosz

Since Specialization
Citations

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

Fields of papers citing papers by Daniel F. Jarosz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel F. Jarosz. 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 Daniel F. Jarosz. The network helps show where Daniel F. Jarosz may publish in the future.

Co-authorship network of co-authors of Daniel F. Jarosz

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel F. Jarosz. A scholar is included among the top collaborators of Daniel F. Jarosz 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 Daniel F. Jarosz. Daniel F. Jarosz 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.
Harel, Itamar, Param Priya Singh, Inbal Ziv, et al.. (2024). Tissue-specific landscape of protein aggregation and quality control in an aging vertebrate. Developmental Cell. 59(14). 1892–1911.e13. 11 indexed citations
2.
Harel, Itamar, Inbal Ziv, Param Priya Singh, et al.. (2024). Identification of protein aggregates in the aging vertebrate brain with prion-like and phase-separation properties. Cell Reports. 43(6). 112787–112787. 3 indexed citations
3.
Lanz, Michael C., Shuyuan Zhang, Matthew P. Swaffer, et al.. (2024). Genome dilution by cell growth drives starvation-like proteome remodeling in mammalian and yeast cells. Nature Structural & Molecular Biology. 31(12). 1859–1871. 9 indexed citations
4.
Aguilar-Rodríguez, José, Christopher M. Jakobson, & Daniel F. Jarosz. (2024). The Hsp90 Molecular Chaperone as a Global Modifier of the Genotype-Phenotype-Fitness Map: An Evolutionary Perspective. Journal of Molecular Biology. 436(23). 168846–168846. 3 indexed citations
5.
Chen, Xuewen, Alan H. Baik, Andrea Fossati, et al.. (2023). In vivo protein turnover rates in varying oxygen tensions nominate MYBBP1A as a mediator of the hyperoxia response. Science Advances. 9(49). eadj4884–eadj4884. 1 indexed citations
6.
Chakravarty, Anupam K., Daniel J. McGrail, David Shih, et al.. (2022). Biomolecular Condensation: A New Phase in Cancer Research. Cancer Discovery. 12(9). 2031–2043. 13 indexed citations
7.
Garcia, David M., et al.. (2021). A prion accelerates proliferation at the expense of lifespan. eLife. 10. 13 indexed citations
8.
Piampongsant, Supinya, Brigida Gallone, Andrea Del Cortona, et al.. (2021). Massive QTL analysis identifies pleiotropic genetic determinants for stress resistance, aroma formation, and ethanol, glycerol and isobutanol production in Saccharomyces cerevisiae. Biotechnology for Biofuels. 14(1). 211–211. 9 indexed citations
9.
Chakravarty, Anupam K., et al.. (2019). A Non-amyloid Prion Particle that Activates a Heritable Gene Expression Program. Molecular Cell. 77(2). 251–265.e9. 59 indexed citations
10.
Jakobson, Christopher M., Richard She, & Daniel F. Jarosz. (2019). Pervasive function and evidence for selection across standing genetic variation in S. cerevisiae. Nature Communications. 10(1). 1222–1222. 10 indexed citations
11.
Zabinsky, Rebecca, et al.. (2018). It’s not magic – Hsp90 and its effects on genetic and epigenetic variation. Seminars in Cell and Developmental Biology. 88. 21–35. 74 indexed citations
12.
Jarosz, Daniel F. & Vikram Khurana. (2017). Specification of Physiologic and Disease States by Distinct Proteins and Protein Conformations. Cell. 171(5). 1001–1014. 33 indexed citations
13.
Chen, Yiwen, et al.. (2017). Protein-Based Inheritance: Epigenetics beyond the Chromosome. Molecular Cell. 69(2). 195–202. 135 indexed citations
14.
Garcia, David M., David Dietrich, Jon Clardy, & Daniel F. Jarosz. (2016). A common bacterial metabolite elicits prion-based bypass of glucose repression. eLife. 5. 37 indexed citations
15.
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
16.
Rohner, Nicolas, Daniel F. Jarosz, Johanna E. Kowalko, et al.. (2013). Cryptic Variation in Morphological Evolution: HSP90 as a Capacitor for Loss of Eyes in Cavefish. Science. 342(6164). 1372–1375. 9 indexed citations
17.
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
18.
Jarosz, Daniel F., Penny J. Beuning, Susan Cohen, & Graham C. Walker. (2007). Y-family DNA polymerases in Escherichia coli. Trends in Microbiology. 15(2). 70–77. 108 indexed citations
19.
Godoy, Veronica G., et al.. (2006). Y‐family DNA polymerases respond to DNA damage‐independent inhibition of replication fork progression. The EMBO Journal. 25(4). 868–879. 76 indexed citations
20.
Jarosz, Daniel F., Veronica G. Godoy, James C. Delaney, John M. Essigmann, & Graham C. Walker. (2006). A single amino acid governs enhanced activity of DinB DNA polymerases on damaged templates. Nature. 439(7073). 225–228. 204 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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