Jason W. Flora

809 total citations
30 papers, 667 citations indexed

About

Jason W. Flora is a scholar working on Spectroscopy, Molecular Biology and Physiology. According to data from OpenAlex, Jason W. Flora has authored 30 papers receiving a total of 667 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Spectroscopy, 10 papers in Molecular Biology and 7 papers in Physiology. Recurrent topics in Jason W. Flora's work include Mass Spectrometry Techniques and Applications (15 papers), Advanced Proteomics Techniques and Applications (9 papers) and Smoking Behavior and Cessation (6 papers). Jason W. Flora is often cited by papers focused on Mass Spectrometry Techniques and Applications (15 papers), Advanced Proteomics Techniques and Applications (9 papers) and Smoking Behavior and Cessation (6 papers). Jason W. Flora collaborates with scholars based in United States and Australia. Jason W. Flora's co-authors include David C. Muddiman, Willie J. McKinney, James C. Hannis, Donna C. Smith, Michael S. Werley, John H. Miller, Peter J. Lipowicz, Adam W. Anderson, Karl A. Wagner and Anthony P. Brown and has published in prestigious journals such as Journal of the American Chemical Society, SHILAP Revista de lepidopterología and Analytical Chemistry.

In The Last Decade

Jason W. Flora

29 papers receiving 642 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jason W. Flora United States 14 281 221 213 168 61 30 667
Simone Cristoni Italy 18 347 1.2× 31 0.1× 311 1.5× 68 0.4× 174 2.9× 62 834
Elyette Martin Switzerland 12 61 0.2× 89 0.4× 197 0.9× 77 0.5× 85 1.4× 17 473
Brian Arbogast United States 15 203 0.7× 29 0.1× 195 0.9× 59 0.4× 15 0.2× 27 539
Barbara Pioselli Italy 15 122 0.4× 56 0.3× 247 1.2× 16 0.1× 33 0.5× 31 554
David Douce United Kingdom 12 202 0.7× 91 0.4× 107 0.5× 34 0.2× 244 4.0× 23 484
Poguang Wang United States 12 105 0.4× 17 0.1× 155 0.7× 156 0.9× 107 1.8× 21 478
Mathias Wind Germany 16 538 1.9× 14 0.1× 439 2.1× 49 0.3× 72 1.2× 24 1.1k
Gregor McCombie Switzerland 17 508 1.8× 31 0.1× 392 1.8× 110 0.7× 73 1.2× 29 887
Kendra J. Adams United States 6 222 0.8× 35 0.2× 264 1.2× 26 0.2× 41 0.7× 8 500
Kent Bloodsworth United States 13 223 0.8× 35 0.2× 249 1.2× 19 0.1× 57 0.9× 26 481

Countries citing papers authored by Jason W. Flora

Since Specialization
Citations

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

Fields of papers citing papers by Jason W. Flora

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jason W. Flora. 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 Jason W. Flora. The network helps show where Jason W. Flora may publish in the future.

Co-authorship network of co-authors of Jason W. Flora

This figure shows the co-authorship network connecting the top 25 collaborators of Jason W. Flora. A scholar is included among the top collaborators of Jason W. Flora 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 Jason W. Flora. Jason W. Flora 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.
2.
Flora, Jason W., et al.. (2020). Formation of Diacetyl and Other α-Dicarbonyl Compounds during the Generation of E-Vapor Product Aerosols. ACS Omega. 5(28). 17565–17575. 9 indexed citations
3.
Wagner, Karl A., et al.. (2018). An evaluation of electronic cigarette formulations and aerosols for harmful and potentially harmful constituents (HPHCs) typically derived from combustion. Regulatory Toxicology and Pharmacology. 95. 153–160. 46 indexed citations
4.
Wagner, Karl A., et al.. (2017). Gas Chromatography-Mass Spectrometry Method to Quantify Benzo[a]Pyrene in Tobacco Products. Journal of Chromatographic Science. 55(7). 677–682. 5 indexed citations
5.
Flora, Jason W., et al.. (2016). Method for the Determination of Carbonyl Compounds in E-Cigarette Aerosols. Journal of Chromatographic Science. 55(2). 142–148. 67 indexed citations
6.
Flora, Jason W., et al.. (2015). Characterization of potential impurities and degradation products in electronic cigarette formulations and aerosols. Regulatory Toxicology and Pharmacology. 74. 1–11. 111 indexed citations
7.
York, Timothy P., Jeffery Edmiston, Barbara Zedler, et al.. (2010). Proteomic biomarkers in plasma that differentiate rapid and slow decline in lung function in adult cigarette smokers with chronic obstructive pulmonary disease (COPD). Analytical and Bioanalytical Chemistry. 397(5). 1809–1819. 16 indexed citations
8.
York, Timothy P., Edwin J. C. G. van den Oord, Jeffery Edmiston, et al.. (2010). High-resolution mass spectrometry proteomics for the identification of candidate plasma protein biomarkers for chronic obstructive pulmonary disease. Biomarkers. 15(4). 367–377. 7 indexed citations
9.
Edmiston, Jeffery, et al.. (2009). Cigarette smoke extract induced protein phosphorylation changes in human microvascular endothelial cells in vitro. Analytical and Bioanalytical Chemistry. 394(6). 1609–1620. 4 indexed citations
10.
11.
Zhao, Yi‐Lei, et al.. (2008). Carbon-Centered Radicals in Cigarette Smoke: Acyl and Alkylaminocarbonyl Radicals. Analytical Chemistry. 81(2). 631–641. 29 indexed citations
12.
Pounds, Joel G., Jason W. Flora, Joshua Adkins, et al.. (2008). Characterization of the mouse bronchoalveolar lavage proteome by micro-capillary LC–FTICR mass spectrometry. Journal of Chromatography B. 864(1-2). 95–101. 14 indexed citations
13.
Flora, Jason W., et al.. (2004). Derivatives of pentamidine designed to target the Leishmania lipophosphoglycan. Tetrahedron Letters. 46(4). 695–698. 12 indexed citations
14.
Mangrum, John B., Jason W. Flora, & David C. Muddiman. (2002). Solution composition and thermal denaturation for the production of single-stranded PCR amplicons: Piperidine-induced destabilization of the DNA duplex?. Journal of the American Society for Mass Spectrometry. 13(3). 232–240. 15 indexed citations
15.
Flora, Jason W. & David C. Muddiman. (2002). Gas-Phase Ion Unimolecular Dissociation for Rapid Phosphopeptide Mapping by IRMPD in a Penning Ion Trap:  An Energetically Favored Process. Journal of the American Chemical Society. 124(23). 6546–6547. 43 indexed citations
16.
Flora, Jason W., et al.. (2002). Dual-micro-ESI source for precise mass determination on a quadrupole time-of-flight mass spectrometer for genomic and proteomic applications. Analytical and Bioanalytical Chemistry. 373(7). 538–546. 24 indexed citations
17.
Flora, Jason W. & David C. Muddiman. (2001). Complete sequencing of mono—deprotonated peptide nucleic acids by sustained off-resonance irradiation collision—induced dissociation. Journal of the American Society for Mass Spectrometry. 12(7). 805–809. 8 indexed citations
18.
19.
Flora, Jason W., Donald D. Shillady, & David C. Muddiman. (2000). An experimental and theoretical study of the gas-phase decomposition of monoprotonated peptide nucleic acids. Journal of the American Society for Mass Spectrometry. 11(7). 615–625. 4 indexed citations
20.
Donaldson, James, et al.. (1953). MIGRATION AREA OF POLONIUM-BERYLLIUM NEUTRONS IN WATER. 129(10). 457–8. 1 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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