Luke A. D. Miller

1.5k total citations
17 papers, 713 citations indexed

About

Luke A. D. Miller is a scholar working on Molecular Biology, Spectroscopy and Clinical Biochemistry. According to data from OpenAlex, Luke A. D. Miller has authored 17 papers receiving a total of 713 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 7 papers in Spectroscopy and 6 papers in Clinical Biochemistry. Recurrent topics in Luke A. D. Miller's work include Metabolomics and Mass Spectrometry Studies (11 papers), Metabolism and Genetic Disorders (6 papers) and Advanced Proteomics Techniques and Applications (5 papers). Luke A. D. Miller is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (11 papers), Metabolism and Genetic Disorders (6 papers) and Advanced Proteomics Techniques and Applications (5 papers). Luke A. D. Miller collaborates with scholars based in United States and United Kingdom. Luke A. D. Miller's co-authors include Adam D. Kennedy, Jacob Wulff, Sarah H. Elsea, Anne M. Evans, Michael H. Gordon, John Ryals, Michael V. Milburn, Qin Sun, Kirk L. Pappan and Marcus J. Miller and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Food Chemistry and Journal of Chromatography A.

In The Last Decade

Luke A. D. Miller

17 papers receiving 698 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Luke A. D. Miller United States 11 472 181 133 103 96 17 713
Minnie Jacob Saudi Arabia 15 604 1.3× 286 1.6× 170 1.3× 178 1.7× 87 0.9× 28 1.1k
Linda Kortz Germany 14 430 0.9× 57 0.3× 81 0.6× 213 2.1× 51 0.5× 18 786
Christopher Petucci United States 14 454 1.0× 70 0.4× 314 2.4× 131 1.3× 36 0.4× 27 997
Gonçalo Graça Portugal 17 468 1.0× 112 0.6× 125 0.9× 70 0.7× 39 0.4× 41 969
Anthony D. Maher Australia 20 620 1.3× 39 0.2× 143 1.1× 160 1.6× 48 0.5× 29 894
Claire Cannet Germany 13 342 0.7× 62 0.3× 71 0.5× 49 0.5× 30 0.3× 25 527
John W. Soper United States 10 531 1.1× 161 0.9× 150 1.1× 39 0.4× 20 0.2× 14 858
Simon Worrall Australia 24 407 0.9× 62 0.3× 192 1.4× 47 0.5× 56 0.6× 65 1.1k
Nisar Shaikh Canada 15 359 0.8× 96 0.5× 131 1.0× 25 0.2× 73 0.8× 32 1.1k
Claude Charuel France 12 693 1.5× 30 0.2× 138 1.0× 125 1.2× 81 0.8× 19 1.1k

Countries citing papers authored by Luke A. D. Miller

Since Specialization
Citations

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

Fields of papers citing papers by Luke A. D. Miller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Luke A. D. Miller. 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 Luke A. D. Miller. The network helps show where Luke A. D. Miller may publish in the future.

Co-authorship network of co-authors of Luke A. D. Miller

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

All Works

17 of 17 papers shown
1.
Ramamoorthy, Sivapriya, Anne M. Evans, Luke A. D. Miller, et al.. (2021). An ambient-temperature storage and stabilization device performs comparably to flash-frozen collection for stool metabolomics in infants. BMC Microbiology. 21(1). 59–59. 15 indexed citations
2.
Goodman, Kelli D., Matthew Mitchell, Anne M. Evans, et al.. (2021). Assessment of the effects of repeated freeze thawing and extended bench top processing of plasma samples using untargeted metabolomics. Metabolomics. 17(3). 31–31. 13 indexed citations
3.
Ford, Lisa A., Adam D. Kennedy, Kelli D. Goodman, et al.. (2020). Precision of a Clinical Metabolomics Profiling Platform for Use in the Identification of Inborn Errors of Metabolism. The Journal of Applied Laboratory Medicine. 5(2). 342–356. 116 indexed citations
4.
Kennedy, Adam D., Bryan M. Wittmann, Anne M. Evans, et al.. (2018). Metabolomics in the clinic: A review of the shared and unique features of untargeted metabolomics for clinical research and clinical testing. Journal of Mass Spectrometry. 53(11). 1 indexed citations
5.
Kennedy, Adam D., Bryan M. Wittmann, Anne M. Evans, et al.. (2018). Metabolomics in the clinic: A review of the shared and unique features of untargeted metabolomics for clinical research and clinical testing. Journal of Mass Spectrometry. 53(11). 1143–1154. 67 indexed citations
6.
Kennedy, Adam D., Kirk L. Pappan, Taraka Donti, et al.. (2017). Elucidation of the complex metabolic profile of cerebrospinal fluid using an untargeted biochemical profiling assay. Molecular Genetics and Metabolism. 121(2). 83–90. 44 indexed citations
7.
Kennedy, Adam D., Marcus J. Miller, Kirk Beebe, et al.. (2016). Metabolomic Profiling of Human Urine as a Screen for Multiple Inborn Errors of Metabolism. Genetic Testing and Molecular Biomarkers. 20(9). 485–495. 42 indexed citations
8.
Guo, Lining, Michael V. Milburn, John Ryals, et al.. (2015). Plasma metabolomic profiles enhance precision medicine for volunteers of normal health. Proceedings of the National Academy of Sciences. 112(35). E4901–10. 123 indexed citations
9.
Miller, Marcus J., Adam D. Kennedy, Andrea D. Eckhart, et al.. (2015). Untargeted metabolomic analysis for the clinical screening of inborn errors of metabolism. Journal of Inherited Metabolic Disease. 38(6). 1029–1039. 168 indexed citations
10.
Novick, Steven, et al.. (2013). The Effect of Initial Purity on the Stability of Solutions in Storage. SLAS DISCOVERY. 19(2). 308–316. 5 indexed citations
11.
Wagner, Craig D., et al.. (2007). Automated mass correction and data interpretation for protein open‐access liquid chromatography‐mass spectrometry. Journal of Mass Spectrometry. 42(2). 139–149. 4 indexed citations
12.
13.
White, Wendy L., et al.. (2004). Protein open‐access liquid chromatography/mass spectrometry. Rapid Communications in Mass Spectrometry. 19(2). 241–249. 8 indexed citations
14.
Williams, Jon D., Michael Flanagan, Linda Lopez, Steve Fischer, & Luke A. D. Miller. (2003). Using accurate mass electrospray ionization–time-of-flight mass spectrometry with in-source collision-induced dissociation to sequence peptide mixtures. Journal of Chromatography A. 1020(1). 11–26. 30 indexed citations
15.
Gordon, Michael H. & Luke A. D. Miller. (1997). Development of steryl ester analysis for the detection of admixtures of vegetable oils. Journal of the American Oil Chemists Society. 74(5). 505–510. 46 indexed citations
16.
Miller, Luke A. D. & Michael H. Gordon. (1996). Use of lipolysis in the isolation of sterol esters. Food Chemistry. 56(1). 55–59. 9 indexed citations
17.
Osborne, Alan G. & Luke A. D. Miller. (1993). Regioselective alkoxydehalogenation of 2,4-dihalogenoquinolines and a reinvestigation of the bromination of 2-methoxyquinoline. Journal of the Chemical Society Perkin Transactions 1. 181–181. 7 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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