Aaron M. Fluitt

438 total citations
8 papers, 346 citations indexed

About

Aaron M. Fluitt is a scholar working on Molecular Biology, Infectious Diseases and Physiology. According to data from OpenAlex, Aaron M. Fluitt has authored 8 papers receiving a total of 346 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 2 papers in Infectious Diseases and 2 papers in Physiology. Recurrent topics in Aaron M. Fluitt's work include Protein Structure and Dynamics (2 papers), Tuberculosis Research and Epidemiology (2 papers) and Alzheimer's disease research and treatments (2 papers). Aaron M. Fluitt is often cited by papers focused on Protein Structure and Dynamics (2 papers), Tuberculosis Research and Epidemiology (2 papers) and Alzheimer's disease research and treatments (2 papers). Aaron M. Fluitt collaborates with scholars based in United States, Colombia and France. Aaron M. Fluitt's co-authors include Juan Pablo, Hendrik J. Viljoen, Elsje Pienaar, Sean D. Moran, Martin T. Zanni, Lauren E. Buchanan, J. L. Skinner, Joshua K. Carr, Lucas Antony and Michel Vivaudou and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and The Journal of Chemical Physics.

In The Last Decade

Aaron M. Fluitt

8 papers receiving 345 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aaron M. Fluitt United States 8 281 62 48 42 35 8 346
Steven D. Quinn United Kingdom 13 232 0.8× 61 1.0× 53 1.1× 19 0.5× 55 1.6× 27 388
Kyrylo Pyrshev United States 10 246 0.9× 45 0.7× 75 1.6× 21 0.5× 22 0.6× 28 382
Duncan A.E. Cochran Australia 8 337 1.2× 40 0.6× 79 1.6× 18 0.4× 39 1.1× 10 434
Chad K. Park United States 13 299 1.1× 21 0.3× 29 0.6× 69 1.6× 38 1.1× 22 444
Katarzyna Bagińska Poland 10 277 1.0× 32 0.5× 76 1.6× 21 0.5× 30 0.9× 14 378
Astrid F. Brandner United Kingdom 9 244 0.9× 18 0.3× 51 1.1× 25 0.6× 25 0.7× 12 301
Daichi Okuno Japan 13 479 1.7× 27 0.4× 37 0.8× 80 1.9× 42 1.2× 22 576
Matthew R. Elkins United States 7 242 0.9× 103 1.7× 66 1.4× 14 0.3× 27 0.8× 8 372
Nathalie Basdevant France 9 314 1.1× 39 0.6× 108 2.3× 12 0.3× 70 2.0× 13 390
Agnieszka Galińska-Rakoczy United States 6 284 1.0× 47 0.8× 31 0.6× 38 0.9× 50 1.4× 8 447

Countries citing papers authored by Aaron M. Fluitt

Since Specialization
Citations

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

Fields of papers citing papers by Aaron M. Fluitt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aaron M. Fluitt. 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 Aaron M. Fluitt. The network helps show where Aaron M. Fluitt may publish in the future.

Co-authorship network of co-authors of Aaron M. Fluitt

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

All Works

8 of 8 papers shown
1.
Fluitt, Aaron M., et al.. (2018). Early-stage human islet amyloid polypeptide aggregation: Mechanisms behind dimer formation. The Journal of Chemical Physics. 149(2). 25101–25101. 23 indexed citations
2.
Martel, Anne, Lucas Antony, Yuri Gerelli, et al.. (2016). Membrane Permeation versus Amyloidogenicity: A Multitechnique Study of Islet Amyloid Polypeptide Interaction with Model Membranes. Journal of the American Chemical Society. 139(1). 137–148. 48 indexed citations
3.
Fluitt, Aaron M. & Juan Pablo. (2015). An Analysis of Biomolecular Force Fields for Simulations of Polyglutamine in Solution. Biophysical Journal. 109(5). 1009–1018. 37 indexed citations
4.
Whitmer, Jonathan K., Aaron M. Fluitt, Lucas Antony, et al.. (2015). Sculpting bespoke mountains: Determining free energies with basis expansions. The Journal of Chemical Physics. 143(4). 44101–44101. 11 indexed citations
5.
Buchanan, Lauren E., Joshua K. Carr, Aaron M. Fluitt, et al.. (2014). Structural motif of polyglutamine amyloid fibrils discerned with mixed-isotope infrared spectroscopy. Proceedings of the National Academy of Sciences. 111(16). 5796–5801. 98 indexed citations
6.
Pienaar, Elsje, Aaron M. Fluitt, Scott Whitney, Alison G. Freifeld, & Hendrik J. Viljoen. (2010). A model of tuberculosis transmission and intervention strategies in an urban residential area. Computational Biology and Chemistry. 34(2). 86–96. 10 indexed citations
7.
Valente, William J., Elsje Pienaar, Aaron M. Fluitt, et al.. (2008). A kinetic study of in vitro lysis of mycobacterium smegmatis. Chemical Engineering Science. 64(9). 1944–1952. 13 indexed citations
8.
Fluitt, Aaron M., Elsje Pienaar, & Hendrik J. Viljoen. (2007). Ribosome kinetics and aa-tRNA competition determine rate and fidelity of peptide synthesis. Computational Biology and Chemistry. 31(5-6). 335–346. 106 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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