Kimberly L. Sciarretta

1.3k total citations · 1 hit paper
13 papers, 1.1k citations indexed

About

Kimberly L. Sciarretta is a scholar working on Physiology, Epidemiology and Molecular Biology. According to data from OpenAlex, Kimberly L. Sciarretta has authored 13 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Physiology, 5 papers in Epidemiology and 4 papers in Molecular Biology. Recurrent topics in Kimberly L. Sciarretta's work include Alzheimer's disease research and treatments (6 papers), Sepsis Diagnosis and Treatment (5 papers) and Emergency and Acute Care Studies (4 papers). Kimberly L. Sciarretta is often cited by papers focused on Alzheimer's disease research and treatments (6 papers), Sepsis Diagnosis and Treatment (5 papers) and Emergency and Acute Care Studies (4 papers). Kimberly L. Sciarretta collaborates with scholars based in United States. Kimberly L. Sciarretta's co-authors include Stephen C. Meredith, David J. Gordon, Robert Tycko, Aneta T. Petkova, Joseph Orgel, Meghan E. Pennini, Timothy G. Buchman, Saurabh Chavan, Michael Collier and Jeffrey A. Kelman and has published in prestigious journals such as Journal of Molecular Biology, Biochemistry and Methods in enzymology on CD-ROM/Methods in enzymology.

In The Last Decade

Kimberly L. Sciarretta

13 papers receiving 1.0k citations

Hit Papers

Sepsis Among Medicare Beneficiaries: 1. The Burdens of Se... 2020 2026 2022 2024 2020 50 100 150
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Sepsis Among Medicare Beneficiaries: 1. The Burdens of Sepsis, 2012–2018*
    2020 177 citations Timothy G. Buchman, Steven Q. Simpson et al. Critical Care Medicine profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kimberly L. Sciarretta United States 11 603 576 205 199 145 13 1.1k
Lu Gaohua United States 11 58 0.1× 159 0.3× 34 0.2× 23 0.1× 46 0.3× 31 746
Ganesh S. Moorthy United States 18 34 0.1× 290 0.5× 83 0.4× 15 0.1× 59 0.4× 50 873
Marc De Meulder Belgium 18 151 0.3× 125 0.2× 118 0.6× 31 0.2× 11 0.1× 30 886
William Tracewell United States 17 103 0.2× 295 0.5× 146 0.7× 7 0.0× 6 0.0× 44 1.2k
Lisa St. John‐Williams United States 11 61 0.1× 439 0.8× 77 0.4× 20 0.1× 24 0.2× 14 1.0k
Daniël M. Jonker Denmark 10 43 0.1× 224 0.4× 54 0.3× 7 0.0× 68 0.5× 19 890
G. P. Velo Italy 21 85 0.1× 173 0.3× 65 0.3× 27 0.1× 15 0.1× 70 1.2k
Alessia Vignoli Italy 19 207 0.3× 804 1.4× 132 0.6× 6 0.0× 27 0.2× 56 1.2k
Pascal André Switzerland 19 54 0.1× 231 0.4× 133 0.6× 7 0.0× 14 0.1× 41 1.1k

Countries citing papers authored by Kimberly L. Sciarretta

Since Specialization
Citations

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

Fields of papers citing papers by Kimberly L. Sciarretta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kimberly L. Sciarretta. 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 Kimberly L. Sciarretta. The network helps show where Kimberly L. Sciarretta may publish in the future.

Co-authorship network of co-authors of Kimberly L. Sciarretta

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

All Works

13 of 13 papers shown
1.
Wu, Qun, et al.. (2022). Applying Lessons Learned From COVID-19 Therapeutic Trials to Improve Future ALI/ARDS Trials. Open Forum Infectious Diseases. 9(8). ofac381–ofac381. 10 indexed citations
2.
Frank, Charles E., Timothy G. Buchman, Steven Q. Simpson, et al.. (2021). Sepsis Among Medicare Beneficiaries: 4. Precoronavirus Disease 2019 Update January 2012–February 2020. Critical Care Medicine. 49(12). 2058–2069. 12 indexed citations
3.
Buchman, Timothy G., Steven Q. Simpson, Kimberly L. Sciarretta, et al.. (2021). Seasonal influenza vaccination is associated with reduced risk of death among Medicare beneficiaries☆. Vaccine. 39(52). 7569–7577. 2 indexed citations
4.
Buchman, Timothy G., Steven Q. Simpson, Kimberly L. Sciarretta, et al.. (2020). Sepsis Among Medicare Beneficiaries: 3. The Methods, Models, and Forecasts of Sepsis, 2012–2018*. Critical Care Medicine. 48(3). 302–318. 45 indexed citations
5.
Buchman, Timothy G., Steven Q. Simpson, Kimberly L. Sciarretta, et al.. (2020). Sepsis Among Medicare Beneficiaries: 1. The Burdens of Sepsis, 2012–2018*. Critical Care Medicine. 48(3). 276–288. 177 indexed citations breakdown →
6.
Buchman, Timothy G., Steven Q. Simpson, Kimberly L. Sciarretta, et al.. (2020). Sepsis Among Medicare Beneficiaries: 2. The Trajectories of Sepsis, 2012–2018*. Critical Care Medicine. 48(3). 289–301. 33 indexed citations
7.
Tycko, Robert, Kimberly L. Sciarretta, Joseph Orgel, & Stephen C. Meredith. (2009). Evidence for Novel β-Sheet Structures in Iowa Mutant β-Amyloid Fibrils. Biochemistry. 48(26). 6072–6084. 115 indexed citations
8.
Sciarretta, Kimberly L., David J. Gordon, & Stephen C. Meredith. (2006). Peptide‐Based Inhibitors of Amyloid Assembly. Methods in enzymology on CD-ROM/Methods in enzymology. 413. 273–312. 130 indexed citations
9.
Sciarretta, Kimberly L., Adrienne Boire, David J. Gordon, & Stephen C. Meredith. (2006). Spatial Separation of β-Sheet Domains of β-Amyloid:  Disruption of Each β-Sheet byN-Methyl Amino Acids. Biochemistry. 45(31). 9485–9495. 38 indexed citations
10.
Sciarretta, Kimberly L., et al.. (2005). Patterns of Genetic Variation in Southern Appalachian Populations ofAthyrium filix‐feminavar.asplenioides(Dryopteridaceae). International Journal of Plant Sciences. 166(5). 761–780. 6 indexed citations
11.
Sciarretta, Kimberly L., David J. Gordon, Aneta T. Petkova, Robert Tycko, & Stephen C. Meredith. (2005). Aβ40-Lactam(D23/K28) Models a Conformation Highly Favorable for Nucleation of Amyloid. Biochemistry. 44(16). 6003–6014. 218 indexed citations
12.
Gordon, David J., Kimberly L. Sciarretta, & Stephen C. Meredith. (2001). Inhibition of β-Amyloid(40) Fibrillogenesis and Disassembly of β-Amyloid(40) Fibrils by Short β-Amyloid Congeners ContainingN-Methyl Amino Acids at Alternate Residues. Biochemistry. 40(28). 8237–8245. 221 indexed citations
13.
Davis, David P., Gloria Gallo, Shawn M. Vogen, et al.. (2001). Both the environment and somatic mutations govern the aggregation pathway of pathogenic immunoglobulin light chain 1 1Edited by A. Fersht. Journal of Molecular Biology. 313(5). 1021–1034. 49 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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