Trevor Glaros

1.9k total citations
42 papers, 1.4k citations indexed

About

Trevor Glaros is a scholar working on Molecular Biology, Spectroscopy and Immunology. According to data from OpenAlex, Trevor Glaros has authored 42 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 13 papers in Spectroscopy and 9 papers in Immunology. Recurrent topics in Trevor Glaros's work include Mass Spectrometry Techniques and Applications (12 papers), Metabolomics and Mass Spectrometry Studies (8 papers) and Immune Response and Inflammation (6 papers). Trevor Glaros is often cited by papers focused on Mass Spectrometry Techniques and Applications (12 papers), Metabolomics and Mass Spectrometry Studies (8 papers) and Immune Response and Inflammation (6 papers). Trevor Glaros collaborates with scholars based in United States, Canada and Brazil. Trevor Glaros's co-authors include Phillip M. Mach, Nicholas E. Manicke, Elizabeth S. Dhummakupt, Ronen Polsky, Gabrielle Boyd, Bao Tran, Robert M. Taylor, Philip R. Miller, Justin T. Baca and Liwu Li and has published in prestigious journals such as Journal of the American Chemical Society, The Journal of Immunology and PLoS ONE.

In The Last Decade

Trevor Glaros

40 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Trevor Glaros United States 19 476 310 306 290 249 42 1.4k
Yashwant Pathak United States 22 441 0.9× 336 1.1× 48 0.2× 272 0.9× 316 1.3× 114 1.8k
Yong Seok Choi South Korea 22 424 0.9× 119 0.4× 135 0.4× 46 0.2× 326 1.3× 66 1.2k
Ulrich Massing Germany 26 1.2k 2.6× 368 1.2× 93 0.3× 97 0.3× 254 1.0× 79 2.4k
Yu‐Li Lo Taiwan 29 826 1.7× 190 0.6× 44 0.1× 110 0.4× 477 1.9× 63 1.9k
Dina Nath Mishra India 14 386 0.8× 158 0.5× 54 0.2× 57 0.2× 708 2.8× 20 1.4k
Rong Zhang China 25 588 1.2× 98 0.3× 57 0.2× 200 0.7× 44 0.2× 91 1.7k
Yukako Ιtο Japan 26 355 0.7× 164 0.5× 61 0.2× 327 1.1× 1.3k 5.4× 98 2.2k
Leonid Kagan United States 24 468 1.0× 122 0.4× 39 0.1× 175 0.6× 416 1.7× 87 1.6k
Guoqiang Zhang China 27 928 1.9× 79 0.3× 50 0.2× 255 0.9× 118 0.5× 160 2.2k
Akiko Kubo Japan 32 1.3k 2.8× 553 1.8× 187 0.6× 113 0.4× 36 0.1× 109 3.5k

Countries citing papers authored by Trevor Glaros

Since Specialization
Citations

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

Fields of papers citing papers by Trevor Glaros

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Trevor Glaros. 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 Trevor Glaros. The network helps show where Trevor Glaros may publish in the future.

Co-authorship network of co-authors of Trevor Glaros

This figure shows the co-authorship network connecting the top 25 collaborators of Trevor Glaros. A scholar is included among the top collaborators of Trevor Glaros 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 Trevor Glaros. Trevor Glaros 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.
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.
2.
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
3.
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
4.
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
5.
Doan, Alexander, Stephen Lincoln, Bao Tran, et al.. (2020). Dynamic Transcriptomic and Phosphoproteomic Analysis During Cell Wall Stress in Aspergillus nidulans. Molecular & Cellular Proteomics. 19(8). 1310–1329. 7 indexed citations
6.
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
7.
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
8.
Hernandez, Raquel, et al.. (2019). Purification and Proteomic Analysis of Alphavirus Particles from Sindbis Virus Grown in Mammalian and Insect Cells. BIO-PROTOCOL. 9(10). e3239–e3239. 2 indexed citations
9.
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
10.
Miller, Philip R., Robert M. Taylor, Bao Tran, et al.. (2018). Extraction and biomolecular analysis of dermal interstitial fluid collected with hollow microneedles. Communications Biology. 1(1). 173–173. 203 indexed citations
11.
Walz, Andrew J., Fu‐Lian Hsu, Bernard J. Benton, et al.. (2017). Activity Based Protein Profiling Leads to Identification of Novel Protein Targets for Nerve Agent VX. Chemical Research in Toxicology. 30(4). 1076–1084. 13 indexed citations
12.
Cole, Stephanie D., et al.. (2017). Effects of organophosphates on the regulation of mesenchymal stem cell proliferation and differentiation. Chemico-Biological Interactions. 266. 38–46. 8 indexed citations
13.
Glaros, Trevor, Candace D. Blancett, Todd M. Bell, Mohan Natesan, & Robert G. Ulrich. (2015). Serum biomarkers of Burkholderia mallei infection elucidated by proteomic imaging of skin and lung abscesses. Clinical Proteomics. 12(1). 7–7. 15 indexed citations
14.
Fu, Yan, Trevor Glaros, Meng Zhu, et al.. (2012). Network Topologies and Dynamics Leading to Endotoxin Tolerance and Priming in Innate Immune Cells. Biophysical Journal. 102(3). 730a–730a. 1 indexed citations
15.
Glaros, Trevor, Yan Fu, Jianhua Xing, & Liwu Li. (2012). Molecular Mechanism Underlying Persistent Induction of LCN2 by Lipopolysaccharide in Kidney Fibroblasts. PLoS ONE. 7(4). e34633–e34633. 18 indexed citations
16.
Glaros, Trevor. (2012). Causes and consequences of low grade endotoxemia and inflammatory diseases. Frontiers in Bioscience-Scholar. S5(2). 754–765. 58 indexed citations
17.
Glaros, Trevor, et al.. (2012). The “survivin suppressants” NSC 80467 and YM155 induce a DNA damage response. Cancer Chemotherapy and Pharmacology. 70(1). 207–212. 83 indexed citations
18.
Bao, Ning, et al.. (2011). Histone modification analysis by chromatin immunoprecipitation from a low number of cells on a microfluidic platform. Lab on a Chip. 11(17). 2842–2842. 27 indexed citations
19.
Glaros, Trevor & Liwu Li. (2010). Molecular mechanism underlying lipopolysaccharide-mediated expression of LCN2 in mesangial cells (136.9). The Journal of Immunology. 184(Supplement_1). 136.9–136.9. 1 indexed citations
20.
Glaros, Trevor. (2009). Macrophages and fibroblasts during inflammation, tissue damage and organ injury. Frontiers in bioscience. Volume(14). 3988–3988. 95 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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