Meredith E. Jackrel

2.5k total citations
40 papers, 1.5k citations indexed

About

Meredith E. Jackrel is a scholar working on Molecular Biology, Cell Biology and Aging. According to data from OpenAlex, Meredith E. Jackrel has authored 40 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Molecular Biology, 10 papers in Cell Biology and 10 papers in Aging. Recurrent topics in Meredith E. Jackrel's work include Heat shock proteins research (14 papers), Prion Diseases and Protein Misfolding (10 papers) and Genetics, Aging, and Longevity in Model Organisms (10 papers). Meredith E. Jackrel is often cited by papers focused on Heat shock proteins research (14 papers), Prion Diseases and Protein Misfolding (10 papers) and Genetics, Aging, and Longevity in Model Organisms (10 papers). Meredith E. Jackrel collaborates with scholars based in United States, India and Russia. Meredith E. Jackrel's co-authors include James Shorter, Morgan E. DeSantis, Elizabeth A. Sweeny, Korrie L. Mack, Lynne Regan, Laura M. Castellano, Daniel R. Southworth, Adam L. Yokom, Stephanie N. Gates and Min Su and has published in prestigious journals such as Science, Cell and Journal of Biological Chemistry.

In The Last Decade

Meredith E. Jackrel

37 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Meredith E. Jackrel United States 22 1.3k 366 291 221 188 40 1.5k
Morgan E. DeSantis United States 15 890 0.7× 479 1.3× 99 0.3× 127 0.6× 126 0.7× 27 1.1k
Frédéric Frottin France 11 1.2k 1.0× 288 0.8× 320 1.1× 57 0.3× 39 0.2× 13 1.6k
Sonja Kroschwald Germany 8 1.3k 1.0× 300 0.8× 80 0.3× 77 0.3× 54 0.3× 9 1.4k
Maximiliano A. D’Angelo United States 19 1.8k 1.4× 248 0.7× 105 0.4× 37 0.2× 58 0.3× 27 2.1k
Minhajuddin Sirajuddin India 12 1.3k 1.0× 853 2.3× 72 0.2× 75 0.3× 63 0.3× 17 1.7k
Korrie L. Mack United States 13 575 0.5× 133 0.4× 105 0.4× 137 0.6× 45 0.2× 16 675
Elisabeth Nüske Germany 7 1.3k 1.1× 228 0.6× 65 0.2× 102 0.5× 40 0.2× 7 1.5k
Brian A. Maxwell United States 13 1.0k 0.8× 193 0.5× 331 1.1× 35 0.2× 17 0.1× 15 1.2k
Veronica H. Ryan United States 15 1.5k 1.1× 109 0.3× 290 1.0× 49 0.2× 17 0.1× 19 1.8k
Stephanie N. Gates United States 10 828 0.7× 272 0.7× 52 0.2× 156 0.7× 35 0.2× 12 964

Countries citing papers authored by Meredith E. Jackrel

Since Specialization
Citations

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

Fields of papers citing papers by Meredith E. Jackrel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Meredith E. Jackrel. 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 Meredith E. Jackrel. The network helps show where Meredith E. Jackrel may publish in the future.

Co-authorship network of co-authors of Meredith E. Jackrel

This figure shows the co-authorship network connecting the top 25 collaborators of Meredith E. Jackrel. A scholar is included among the top collaborators of Meredith E. Jackrel 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 Meredith E. Jackrel. Meredith E. Jackrel 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.
Lockhart, Sam, Yajie Zhao, Vladimı́r Saudek, et al.. (2025). Rare Variants in HTRA1, SGTB, and RBM12 Confer Risk of Atherosclerotic Cardiovascular Disease Independent of Traditional Cardiovascular Risk Factors. Circulation Genomic and Precision Medicine. 18(6). e005233–e005233.
2.
Das, Anirban, Jagannath Mondal, Jonathan R. Silva, et al.. (2025). Histidine-rich enantiomeric peptide coacervates enhance antigen sequestration and presentation to T cells. Chemical Science. 16(17). 7523–7536. 5 indexed citations
3.
4.
Lynch, Eileen M., Sara K. Pittman, Jil Daw, et al.. (2024). Seeding-competent TDP-43 persists in human patient and mouse muscle. Science Translational Medicine. 16(775). eadp5730–eadp5730. 6 indexed citations
5.
Chen, Sheng, et al.. (2024). HTRA1 disaggregates α-synuclein amyloid fibrils and converts them into non-toxic and seeding incompetent species. Nature Communications. 15(1). 2436–2436. 8 indexed citations
6.
Kim, Yeawon, Chuang Li, Chenjian Gu, et al.. (2023). MANF stimulates autophagy and restores mitochondrial homeostasis to treat autosomal dominant tubulointerstitial kidney disease in mice. Nature Communications. 14(1). 6493–6493. 30 indexed citations
7.
Chen, Sheng, et al.. (2023). Amyloidogenic propensity of self-assembling peptides and their adjuvant potential for use as DNA vaccines. Acta Biomaterialia. 169. 464–476. 5 indexed citations
8.
Jackrel, Meredith E., et al.. (2023). Probing the drivers of Staphylococcus aureus biofilm protein amyloidogenesis and disrupting biofilms with engineered protein disaggregases. mBio. 14(4). e0058723–e0058723. 1 indexed citations
9.
Jackrel, Meredith E., et al.. (2022). Monitoring condensate dynamics in S. cerevisiae using fluorescence recovery after photobleaching. STAR Protocols. 3(3). 101592–101592. 1 indexed citations
10.
March, Zachary M., Hanna Kim, Xiaohui Yan, et al.. (2020). Therapeutic genetic variation revealed in diverse Hsp104 homologs. eLife. 9. 23 indexed citations
11.
Lin, JiaBei, Meredith E. Jackrel, Peter J. Carman, et al.. (2019). Mining Disaggregase Sequence Space to Safely Counter TDP-43, FUS, and α-Synuclein Proteotoxicity. Cell Reports. 28(8). 2080–2095.e6. 33 indexed citations
12.
Shorter, James, et al.. (2019). Engineered protein disaggregases mitigate toxicity of aberrant prion-like fusion proteins underlying sarcoma. Journal of Biological Chemistry. 294(29). 11286–11296. 30 indexed citations
13.
Michalska, K., Kaiming Zhang, Zachary M. March, et al.. (2018). Structure of Calcarisporiella thermophila Hsp104 Disaggregase that Antagonizes Diverse Proteotoxic Misfolding Events. Structure. 27(3). 449–463.e7. 23 indexed citations
14.
Gates, Stephanie N., Adam L. Yokom, JiaBei Lin, et al.. (2017). Ratchet-like polypeptide translocation mechanism of the AAA+ disaggregase Hsp104. Science. 357(6348). 273–279. 193 indexed citations
15.
Jackrel, Meredith E. & James Shorter. (2017). Protein-Remodeling Factors As Potential Therapeutics for Neurodegenerative Disease. Frontiers in Neuroscience. 11. 99–99. 29 indexed citations
16.
Torrente, Mariana P., et al.. (2016). Mechanistic Insights into Hsp104 Potentiation. Journal of Biological Chemistry. 291(10). 5101–5115. 36 indexed citations
17.
Yokom, Adam L., Stephanie N. Gates, Meredith E. Jackrel, et al.. (2016). Spiral architecture of the Hsp104 disaggregase reveals the basis for polypeptide translocation. Nature Structural & Molecular Biology. 23(9). 830–837. 89 indexed citations
18.
Jackrel, Meredith E. & James Shorter. (2015). Engineering enhanced protein disaggregases for neurodegenerative disease. Prion. 9(2). 90–109. 61 indexed citations
19.
Sweeny, Elizabeth A., Meredith E. Jackrel, Michelle Sy Go, et al.. (2015). The Hsp104 N-Terminal Domain Enables Disaggregase Plasticity and Potentiation. Molecular Cell. 57(5). 836–849. 79 indexed citations
20.
Jackrel, Meredith E., Morgan E. DeSantis, Bryan Martinez, et al.. (2014). Potentiated Hsp104 Variants Antagonize Diverse Proteotoxic Misfolding Events. Cell. 156(1-2). 170–182. 186 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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