Kyle D. Duncan

790 total citations
24 papers, 614 citations indexed

About

Kyle D. Duncan is a scholar working on Spectroscopy, Molecular Biology and Analytical Chemistry. According to data from OpenAlex, Kyle D. Duncan has authored 24 papers receiving a total of 614 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Spectroscopy, 12 papers in Molecular Biology and 7 papers in Analytical Chemistry. Recurrent topics in Kyle D. Duncan's work include Mass Spectrometry Techniques and Applications (18 papers), Metabolomics and Mass Spectrometry Studies (10 papers) and Analytical Chemistry and Chromatography (6 papers). Kyle D. Duncan is often cited by papers focused on Mass Spectrometry Techniques and Applications (18 papers), Metabolomics and Mass Spectrometry Studies (10 papers) and Analytical Chemistry and Chromatography (6 papers). Kyle D. Duncan collaborates with scholars based in Sweden, Canada and United States. Kyle D. Duncan's co-authors include Ingela Lanekoff, Erik T. Krogh, Chris G. Gill, Sudhansu K. Dey, Megan D. Willis, Jia Yuan, Rosalie Chu, Kristin Burnum-Johnson, Ru Fang and Gregory W. Vandergrift and has published in prestigious journals such as Environmental Science & Technology, Analytical Chemistry and The Science of The Total Environment.

In The Last Decade

Kyle D. Duncan

24 papers receiving 607 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kyle D. Duncan Sweden 15 362 319 158 90 50 24 614
Martin R. L. Paine Netherlands 18 676 1.9× 609 1.9× 68 0.4× 73 0.8× 8 0.2× 28 1.0k
Beixi Wang United States 17 505 1.4× 165 0.5× 81 0.5× 118 1.3× 10 0.2× 24 636
Ricardo G. Cosso Brazil 11 137 0.4× 304 1.0× 77 0.5× 92 1.0× 7 0.1× 12 606
Jiaxin Feng China 14 312 0.9× 505 1.6× 19 0.1× 112 1.2× 18 0.4× 30 814
Shannon Eliuk United States 9 424 1.2× 423 1.3× 38 0.2× 46 0.5× 8 0.2× 9 677
Kendra J. Adams United States 6 222 0.6× 264 0.8× 44 0.3× 41 0.5× 5 0.1× 8 500
Damon Barbacci United States 14 329 0.9× 294 0.9× 38 0.2× 28 0.3× 5 0.1× 23 571
Jan Jordens Belgium 12 343 0.9× 512 1.6× 68 0.4× 42 0.5× 4 0.1× 27 801
Sandra Martínez‐Jarquín Switzerland 10 194 0.5× 127 0.4× 59 0.4× 102 1.1× 4 0.1× 16 330
Manshui Zhou United States 13 218 0.6× 378 1.2× 44 0.3× 62 0.7× 3 0.1× 16 677

Countries citing papers authored by Kyle D. Duncan

Since Specialization
Citations

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

Fields of papers citing papers by Kyle D. Duncan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kyle D. Duncan. 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 Kyle D. Duncan. The network helps show where Kyle D. Duncan may publish in the future.

Co-authorship network of co-authors of Kyle D. Duncan

This figure shows the co-authorship network connecting the top 25 collaborators of Kyle D. Duncan. A scholar is included among the top collaborators of Kyle D. Duncan 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 Kyle D. Duncan. Kyle D. Duncan 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.
Duncan, Kyle D., Helena Pětrošová, Julian J. Lum, & David R. Goodlett. (2024). Mass spectrometry imaging methods for visualizing tumor heterogeneity. Current Opinion in Biotechnology. 86. 103068–103068. 16 indexed citations
2.
Carleton, Gillian, et al.. (2024). Expanding Spatial Metabolomics Coverage with Lithium-Doped Nanospray Desorption Electrospray Ionization Mass Spectrometry Imaging. Analytical Chemistry. 96(46). 18427–18436. 6 indexed citations
3.
MacPherson, Sarah, Kyle D. Duncan, David R. Goodlett, & Julian J. Lum. (2023). Strategies for uncovering stable isotope tracing patterns between cell populations. Current Opinion in Biotechnology. 83. 102991–102991. 1 indexed citations
4.
Duncan, Kyle D., et al.. (2023). Ion-to-Image, i2i, a Mass Spectrometry Imaging Data Analysis Platform for Continuous Ionization Techniques. Analytical Chemistry. 95(31). 11589–11595. 11 indexed citations
5.
Duncan, Kyle D., Jeffrey A. Hawkes, Chris G. Gill, et al.. (2022). Membrane Sampling Separates Naphthenic Acids from Biogenic Dissolved Organic Matter for Direct Analysis by Mass Spectrometry. Environmental Science & Technology. 56(5). 3096–3105. 9 indexed citations
6.
Duncan, Kyle D., et al.. (2022). Host–Guest Chemistry for Simultaneous Imaging of Endogenous Alkali Metals and Metabolites with Mass Spectrometry. Analytical Chemistry. 94(5). 2391–2398. 20 indexed citations
7.
Duncan, Kyle D., Xiaofei Sun, Erin Baker, Sudhansu K. Dey, & Ingela Lanekoff. (2021). In situ imaging reveals disparity between prostaglandin localization and abundance of prostaglandin synthases. Communications Biology. 4(1). 966–966. 12 indexed citations
8.
Stevens, Susan L., et al.. (2020). CpG preconditioning reduces accumulation of lysophosphatidylcholine in ischemic brain tissue after middle cerebral artery occlusion. Analytical and Bioanalytical Chemistry. 413(10). 2735–2745. 21 indexed citations
9.
Duncan, Kyle D., J. J. Monaghan, Kerry M. Peru, et al.. (2020). Direct analysis of naphthenic acids in constructed wetland samples by condensed phase membrane introduction mass spectrometry. The Science of The Total Environment. 716. 137063–137063. 17 indexed citations
10.
Duncan, Kyle D., et al.. (2020). Determination of Monounsaturated Fatty Acid Isomers in Biological Systems by Modeling MS3 Product Ion Patterns. Journal of the American Society for Mass Spectrometry. 31(12). 2479–2487. 14 indexed citations
11.
Duncan, Kyle D. & Ingela Lanekoff. (2019). Spatially Defined Surface Sampling Capillary Electrophoresis Mass Spectrometry. Analytical Chemistry. 91(12). 7819–7827. 14 indexed citations
13.
Duncan, Kyle D., Ru Fang, Jia Yuan, et al.. (2018). Quantitative Mass Spectrometry Imaging of Prostaglandins as Silver Ion Adducts with Nanospray Desorption Electrospray Ionization. Analytical Chemistry. 90(12). 7246–7252. 74 indexed citations
14.
Duncan, Kyle D., et al.. (2018). Advances in mass spectrometry based single-cell metabolomics. The Analyst. 144(3). 782–793. 172 indexed citations
16.
Duncan, Kyle D., Gregory W. Vandergrift, Erik T. Krogh, & Chris G. Gill. (2015). Ionization suppression effects with condensed phase membrane introduction mass spectrometry: methods to increase the linear dynamic range and sensitivity. Journal of Mass Spectrometry. 50(3). 437–443. 23 indexed citations
17.
Duncan, Kyle D., Gregory W. Vandergrift, Karl J. Jobst, et al.. (2015). A semi‐quantitative approach for the rapid screening and mass profiling of naphthenic acids directly in contaminated aqueous samples. Journal of Mass Spectrometry. 51(1). 44–52. 28 indexed citations
18.
Willis, Megan D., Kyle D. Duncan, Erik T. Krogh, & Chris G. Gill. (2014). Delicate polydimethylsiloxane hollow fibre membrane interfaces for condensed phase membrane introduction mass spectrometry (CP‐MIMS). Rapid Communications in Mass Spectrometry. 28(7). 671–681. 25 indexed citations
20.
Wehr, Tim, et al.. (1990). High performance isoelectric focusing using capillary electrophoresis instrumentation.. PubMed. 8(11). 22–9. 2 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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