Kimberly L. Sciarretta
- Physiology top 5%
- Molecular Biology
- Epidemiology
- Biomaterials top 5%
- Computational Theory and Mathematics top 5%
- Co-authors
- Stephen C. MeredithDavid J. GordonRobert TyckoAneta T. PetkovaJoseph OrgelMeghan E. PenniniGary L. DisbrowMichael Collier
- Topics
- Alzheimer's disease research and treatments (6 papers)Sepsis Diagnosis and Treatment (5 papers)Emergency and Acute Care Studies (4 papers)
- Journals
- Journal of Molecular BiologyBiochemistryMethods in enzymology on CD-ROM/Methods in enzymology
- Partner nations
- United States
In The Last Decade
Kimberly L. Sciarretta
13 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 94
- Physiology 603
- Molecular Biology 576
- Epidemiology 205
- Biomaterials 199
- Computational Theory and Mathematics 145
Countries citing papers authored by Kimberly L. Sciarretta
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 2 | |
| 3 | 12 | |
| 4 | Sepsis Among Medicare Beneficiaries: 1. The Burdens of Sepsis, 2012–2018*breakdown → | 177 |
| 5 | 45 | |
| 6 | 33 | |
| 7 | 115 | |
| 8 | 130 | |
| 9 | 38 | |
| 10 | 6 | |
| 11 | 218 | |
| 12 | 221 | |
| 13 | 49 |
About Kimberly L. Sciarretta
Kimberly L. Sciarretta is a scholar working on Emergency Medicine, Critical Care and Intensive Care Medicine and Physiology, having authored 13 papers that have together received 1.1k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (6 papers), Sepsis Diagnosis and Treatment (5 papers) and Emergency and Acute Care Studies (4 papers). The work is most often cited by research in Physiology (603 citations), Biomaterials (199 citations) and Critical Care and Intensive Care Medicine (78 citations). Kimberly L. Sciarretta has collaborated with scholars based in United States. Frequent co-authors include Stephen C. Meredith, David J. Gordon, Robert Tycko, Aneta T. Petkova, Joseph Orgel, Meghan E. Pennini, Gary L. Disbrow, Michael Collier, Thomas MaCurdy and Steven Q. Simpson. Their work appears in journals such as Journal of Molecular Biology, Biochemistry and Methods in enzymology on CD-ROM/Methods in enzymology.
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.