Grace O’Maille

6.2k total citations · 1 hit paper
9 papers, 4.6k citations indexed

About

Grace O’Maille is a scholar working on Molecular Biology, Spectroscopy and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Grace O’Maille has authored 9 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Spectroscopy and 1 paper in Endocrinology, Diabetes and Metabolism. Recurrent topics in Grace O’Maille's work include Metabolomics and Mass Spectrometry Studies (8 papers), Analytical Chemistry and Chromatography (6 papers) and Mass Spectrometry Techniques and Applications (6 papers). Grace O’Maille is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (8 papers), Analytical Chemistry and Chromatography (6 papers) and Mass Spectrometry Techniques and Applications (6 papers). Grace O’Maille collaborates with scholars based in United States. Grace O’Maille's co-authors include Gary Siuzdak, Colin A. Smith, Elizabeth J. Want, Ruben Abagyan, Anders Nordström, Wilasinee Uritboonthai, Sunia A. Trauger, Eden P. Go, Junefredo V. Apon and Scott M. Brittain and has published in prestigious journals such as Analytical Chemistry, Genome biology and Journal of Proteome Research.

In The Last Decade

Grace O’Maille

9 papers receiving 4.6k citations

Hit Papers

XCMS:  Processing Mass Spectrometry Data for Metabolite P... 2006 2026 2012 2019 2006 1000 2.0k 3.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Grace O’Maille United States 9 3.5k 1.3k 689 495 338 9 4.6k
Ralf Tautenhahn United States 18 3.8k 1.1× 1.4k 1.1× 847 1.2× 419 0.8× 414 1.2× 20 4.9k
Marie Brown United Kingdom 24 3.4k 1.0× 929 0.7× 620 0.9× 407 0.8× 501 1.5× 36 4.9k
Colin A. Smith United States 20 5.4k 1.6× 1.8k 1.4× 847 1.2× 646 1.3× 479 1.4× 56 7.2k
Sandra Castillo Finland 15 2.7k 0.8× 843 0.7× 500 0.7× 456 0.9× 268 0.8× 27 3.9k
John P. Shockcor United States 29 4.2k 1.2× 1.5k 1.2× 658 1.0× 505 1.0× 536 1.6× 70 6.1k
Christophe Junot France 40 3.4k 1.0× 1.0k 0.8× 575 0.8× 804 1.6× 548 1.6× 125 5.9k
Tomáš Pluskal United States 25 3.4k 1.0× 836 0.7× 482 0.7× 794 1.6× 236 0.7× 45 5.0k
Katja Dettmer Germany 39 4.1k 1.2× 1.4k 1.2× 833 1.2× 242 0.5× 449 1.3× 115 7.1k
Mariët J. van der Werf Netherlands 33 3.9k 1.1× 704 0.6× 961 1.4× 406 0.8× 225 0.7× 65 5.4k
John N. Haselden United Kingdom 24 3.5k 1.0× 913 0.7× 531 0.8× 274 0.6× 645 1.9× 32 4.6k

Countries citing papers authored by Grace O’Maille

Since Specialization
Citations

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

Fields of papers citing papers by Grace O’Maille

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Grace O’Maille. 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 Grace O’Maille. The network helps show where Grace O’Maille may publish in the future.

Co-authorship network of co-authors of Grace O’Maille

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

All Works

9 of 9 papers shown
1.
O’Maille, Grace, et al.. (2008). An improved LC–ESI–MS–MS method for simultaneous quantitation of rosiglitazone and N-desmethyl rosiglitazone in human plasma. Journal of Pharmaceutical and Biomedical Analysis. 48(3). 934–939. 22 indexed citations
2.
O’Maille, Grace, Eden P. Go, Linh Hoang, et al.. (2008). Metabolomics relative quantitation with mass spectrometry using chemical derivatization and isotope labeling. Spectroscopy An International Journal. 22(5). 327–343. 12 indexed citations
3.
O’Maille, Grace, Eden P. Go, Linh Hoang, et al.. (2008). Metabolomics relative quantitation with mass spectrometry using chemical derivatization and isotope labeling. 22(5). 327–343. 8 indexed citations
4.
Mutch, David M., Grace O’Maille, William R. Wikoff, et al.. (2007). Mobilization of pro-inflammatory lipids in obese Plscr3-deficient mice. Genome biology. 8(3). R38–R38. 16 indexed citations
5.
Go, Eden P., Wilasinee Uritboonthai, Junefredo V. Apon, et al.. (2007). Selective Metabolite and Peptide Capture/Mass Detection Using Fluorous Affinity Tags. Journal of Proteome Research. 6(4). 1492–1499. 70 indexed citations
6.
Smith, Colin A., Elizabeth J. Want, Grace O’Maille, Ruben Abagyan, & Gary Siuzdak. (2006). XCMS:  Processing Mass Spectrometry Data for Metabolite Profiling Using Nonlinear Peak Alignment, Matching, and Identification. Analytical Chemistry. 78(3). 779–787. 3847 indexed citations breakdown →
7.
Go, Eden P., William R. Wikoff, Zhouxin Shen, et al.. (2006). Mass Spectrometry Reveals Specific and Global Molecular Transformations during Viral Infection. Journal of Proteome Research. 5(9). 2405–2416. 41 indexed citations
8.
Nordström, Anders, et al.. (2006). Nonlinear Data Alignment for UPLC−MS and HPLC−MS Based Metabolomics:  Quantitative Analysis of Endogenous and Exogenous Metabolites in Human Serum. Analytical Chemistry. 78(10). 3289–3295. 215 indexed citations
9.
Want, Elizabeth J., Grace O’Maille, Colin A. Smith, et al.. (2005). Solvent-Dependent Metabolite Distribution, Clustering, and Protein Extraction for Serum Profiling with Mass Spectrometry. Analytical Chemistry. 78(3). 743–752. 414 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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