Phillip M. Mach

964 total citations
32 papers, 723 citations indexed

About

Phillip M. Mach is a scholar working on Spectroscopy, Molecular Biology and Biomedical Engineering. According to data from OpenAlex, Phillip M. Mach has authored 32 papers receiving a total of 723 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Spectroscopy, 11 papers in Molecular Biology and 9 papers in Biomedical Engineering. Recurrent topics in Phillip M. Mach's work include Mass Spectrometry Techniques and Applications (14 papers), Metabolomics and Mass Spectrometry Studies (9 papers) and Advanced Chemical Sensor Technologies (5 papers). Phillip M. Mach is often cited by papers focused on Mass Spectrometry Techniques and Applications (14 papers), Metabolomics and Mass Spectrometry Studies (9 papers) and Advanced Chemical Sensor Technologies (5 papers). Phillip M. Mach collaborates with scholars based in United States and Thailand. Phillip M. Mach's co-authors include Trevor Glaros, Elizabeth S. Dhummakupt, Ethan M. McBride, Guido F. Verbeck, Daniel O. Carmany, Ronen Polsky, Robert M. Taylor, Bao Tran, Kenneth C. Wright and Nicholas E. Manicke and has published in prestigious journals such as PLoS ONE, Analytical Chemistry and The Science of The Total Environment.

In The Last Decade

Phillip M. Mach

30 papers receiving 701 citations

Peers

Phillip M. Mach

SPECT

Terje Vasskog Norway

Zsuzsanna Eke Hungary

Malvina Orkoula Greece

Richard W. Taylor United States

Sabine G. Dodard Canada

Jeffrey A. Peterson United States

Hao Hou China

Robert G. Riley United States

Ruonan Chen China

Tânia Toyomi Tominaga Brazil

Terje Vasskog Norway

Phillip M. Mach

70 ×0.2

SPECT

56 ×0.3

147 ×1.0

98 ×0.8

156 ×1.5

Citations per year, relative to Phillip M. Mach Phillip M. Mach (= 1×) peers Terje Vasskog

Countries citing papers authored by Phillip M. Mach

Since Specialization

Citations

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

Fields of papers citing papers by Phillip M. Mach

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Phillip M. Mach

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

All Works

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20 of 20 papers shown

Breidenbach, Joshua D., Claire K. Sanders, Silvia Palmisano, et al.. (2025). Evaluation of normalization strategies for mass spectrometry-based multi-omics datasets. Metabolomics. 21(4). 98–98.

Mach, Phillip M., et al.. (2024). Real-time breath analysis towards a healthy human breath profile. Journal of Breath Research. 18(2). 26003–26003. 6 indexed citations

Breidenbach, Joshua D., Emilio Rivera, Claire K. Sanders, et al.. (2024). The Addition of Transcriptomics to the Bead-Enabled Accelerated Monophasic Multi-Omics Method: A Step toward Universal Sample Preparation. Analytical Chemistry. 96(46). 18343–18348. 2 indexed citations

Harris, Jennifer Foster, et al.. (2022). -Omics potential of in vitro skin models for radiation exposure. Cellular and Molecular Life Sciences. 79(7). 390–390. 3 indexed citations

Dorsey, Russell, et al.. (2022). Normalization of organ-on-a-Chip samples for mass spectrometry based proteomics and metabolomics via Dansylation-based assay. Toxicology in Vitro. 88. 105540–105540. 6 indexed citations

Mach, Phillip M., et al.. (2021). Proteomic and metabolomic profiling of acute and chronic stress events associated with military exercises. Molecular Omics. 18(4). 279–295. 8 indexed citations

Hussey, Erika K., et al.. (2021). Utilizing machine learning with knockoff filtering to extract significant metabolites in Crohn’s disease with a publicly available untargeted metabolomics dataset. PLoS ONE. 16(7). e0255240–e0255240. 2 indexed citations

Glaros, Trevor, Elizabeth S. Dhummakupt, Ethan M. McBride, et al.. (2020). Discovery of treatment for nerve agents targeting a new metabolic pathway. Archives of Toxicology. 94(9). 3249–3264. 7 indexed citations

McBride, Ethan M., Richard J. Lawrence, Phillip M. Mach, et al.. (2019). Rapid liquid chromatography tandem mass spectrometry method for targeted quantitation of human performance metabolites in saliva. Journal of Chromatography A. 1601. 205–213. 16 indexed citations

10.

McBride, Ethan M., Phillip M. Mach, Elizabeth S. Dhummakupt, et al.. (2019). Paper spray ionization: Applications and perspectives. TrAC Trends in Analytical Chemistry. 118. 722–730. 90 indexed citations

11.

Arévalo, Maria T., et al.. (2019). Proteomic Characterization of Immunoglobulin Content in Dermal Interstitial Fluid. Journal of Proteome Research. 18(6). 2381–2384. 17 indexed citations

12.

Carmany, Daniel O., Phillip M. Mach, Elizabeth S. Dhummakupt, et al.. (2018). On-substrate Enzymatic Reaction to Determine Acetylcholinesterase Activity in Whole Blood by Paper Spray Mass Spectrometry. Journal of the American Society for Mass Spectrometry. 29(12). 2436–2442. 12 indexed citations

13.

Mach, Phillip M., et al.. (2018). On‐substrate derivatization for detection of highly volatile G‐series chemical warfare agents via paper spray mass spectrometry. Rapid Communications in Mass Spectrometry. 32(23). 1979–1983. 20 indexed citations

14.

Dubansky, Benjamin, Guido F. Verbeck, Phillip M. Mach, & Warren W. Burggren. (2018). Methodology for exposing avian embryos to quantified levels of airborne aromatic compounds associated with crude oil spills. Environmental Toxicology and Pharmacology. 58. 163–169. 16 indexed citations

15.

Tran, Bao, Philip R. Miller, Robert M. Taylor, et al.. (2017). Proteomic Characterization of Dermal Interstitial Fluid Extracted Using a Novel Microneedle-Assisted Technique. Journal of Proteome Research. 17(1). 479–485. 163 indexed citations

16.

Hildenbrand, Zacariah L., Doug D. Carlton, Brian E. Fontenot, et al.. (2016). Temporal variation in groundwater quality in the Permian Basin of Texas, a region of increasing unconventional oil and gas development. The Science of The Total Environment. 562. 906–913. 66 indexed citations

17.

Hildenbrand, Zacariah L., Phillip M. Mach, Ethan M. McBride, et al.. (2016). Point source attribution of ambient contamination events near unconventional oil and gas development. The Science of The Total Environment. 573. 382–388. 39 indexed citations

18.

Mach, Phillip M., et al.. (2016). Laser ablation coupled with DAPNe-NSI-MS applied to redacted documents. Science & Justice. 56(5). 329–340. 6 indexed citations

19.

Mach, Phillip M., et al.. (2016). Analysis of trace amounts of adulterants found in powders/supplements utilizing Raman spectroscopy coupled to direct analyte-probed nanoextraction-nanospray ionization-mass spectrometry. Analytical Methods. 8(24). 4798–4807. 7 indexed citations

20.

Mach, Phillip M., Kenneth C. Wright, & Guido F. Verbeck. (2014). Development of Multi-Membrane Near-Infrared Diode Mass Spectrometer for Field Analysis of Aromatic Hydrocarbons. Journal of the American Society for Mass Spectrometry. 26(2). 281–285. 10 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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