Patrick D. DeArmond

451 total citations
15 papers, 347 citations indexed

About

Patrick D. DeArmond is a scholar working on Molecular Biology, Spectroscopy and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Patrick D. DeArmond has authored 15 papers receiving a total of 347 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Spectroscopy and 3 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Patrick D. DeArmond's work include Mass Spectrometry Techniques and Applications (3 papers), Analytical chemistry methods development (2 papers) and Trace Elements in Health (2 papers). Patrick D. DeArmond is often cited by papers focused on Mass Spectrometry Techniques and Applications (3 papers), Analytical chemistry methods development (2 papers) and Trace Elements in Health (2 papers). Patrick D. DeArmond collaborates with scholars based in United States, Canada and South Korea. Patrick D. DeArmond's co-authors include Michael C. Fitzgerald, Erin C Strickland, Ying Xu, Graham M. West, Kyle G. Daniels, Duc T. Tran, Jagat Adhikari, David T. Yeung, Gennady E. Platoff and M. Arthur Moseley and has published in prestigious journals such as SHILAP Revista de lepidopterología, Analytical Chemistry and Biochemistry.

In The Last Decade

Patrick D. DeArmond

15 papers receiving 339 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Patrick D. DeArmond United States 11 170 125 49 40 39 15 347
Osama Chahrour United Kingdom 7 162 1.0× 110 0.9× 40 0.8× 43 1.1× 17 0.4× 11 356
Michael R. Goldsmith United States 9 123 0.7× 63 0.5× 28 0.6× 20 0.5× 19 0.5× 12 338
Thomas De Vijlder Belgium 13 431 2.5× 199 1.6× 14 0.3× 28 0.7× 34 0.9× 24 636
Katarzyna Macur Poland 11 110 0.6× 61 0.5× 55 1.1× 33 0.8× 44 1.1× 27 330
Brad Ackermann United States 6 98 0.6× 136 1.1× 23 0.5× 69 1.7× 13 0.3× 6 268
Qingda Zang United States 9 95 0.6× 39 0.3× 23 0.5× 44 1.1× 154 3.9× 12 451
J. S. Burton United Kingdom 12 136 0.8× 75 0.6× 87 1.8× 19 0.5× 60 1.5× 33 396
Angela White United Kingdom 10 100 0.6× 49 0.4× 31 0.6× 22 0.6× 131 3.4× 22 427
Kacper Szczepski Saudi Arabia 8 189 1.1× 27 0.2× 34 0.7× 18 0.5× 17 0.4× 12 322
John Nicolette United States 10 152 0.9× 35 0.3× 50 1.0× 25 0.6× 92 2.4× 20 469

Countries citing papers authored by Patrick D. DeArmond

Since Specialization
Citations

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

Fields of papers citing papers by Patrick D. DeArmond

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Patrick D. DeArmond

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

All Works

15 of 15 papers shown
1.
DeArmond, Patrick D., et al.. (2023). Matrix-matched calibrators are necessary for robust and high-quality dried blood spots lead screening assays by inductively coupled plasma-mass spectrometry. SHILAP Revista de lepidopterología. 30. 45–50. 3 indexed citations
2.
DeArmond, Patrick D. & Dustin R. Bunch. (2022). Quantitation of non-derivatized free amino acids for detecting inborn errors of metabolism by incorporating mixed-mode chromatography with tandem mass spectrometry. SHILAP Revista de lepidopterología. 25. 1–11. 6 indexed citations
3.
Turgeon, Coleman, Hamid Khaledi, Patrick D. DeArmond, et al.. (2020). Achieving Congruence among Reference Laboratories for Absolute Abundance Measurement of Analytes for Rare Diseases: Psychosine for Diagnosis and Prognosis of Krabbe Disease. International Journal of Neonatal Screening. 6(2). 29–29. 10 indexed citations
4.
Taguchi, Vince Y., et al.. (2017). Novel contaminants identified in fish kills in the Red River watershed, 2011–2013. Environmental Toxicology and Chemistry. 37(2). 336–344. 3 indexed citations
5.
DeArmond, Patrick D., et al.. (2014). QuEChERS-based approach toward the analysis of two insecticides, methomyl and aldicarb, in blood and brain tissue. Analytical Methods. 7(1). 321–328. 14 indexed citations
6.
DeArmond, Patrick D., et al.. (2013). Characterization of liquid chromatography-tandem mass spectrometry method for the determination of acrylamide in complex environmental samples. Analytical and Bioanalytical Chemistry. 405(12). 4159–4166. 24 indexed citations
7.
DeArmond, Patrick D., et al.. (2013). Rapid liquid chromatography–tandem mass spectrometry-based method for the analysis of alcohol ethoxylates and alkylphenol ethoxylates in environmental samples. Journal of Chromatography A. 1305. 154–163. 32 indexed citations
8.
Strickland, Erin C, Duc T. Tran, Jagat Adhikari, et al.. (2012). Thermodynamic analysis of protein-ligand binding interactions in complex biological mixtures using the stability of proteins from rates of oxidation. Nature Protocols. 8(1). 148–161. 99 indexed citations
9.
Banerjee, Sambuddha, Shreni Mistry, Jennifer M. Noto, et al.. (2012). Evidence of Fe3+ interaction with the plug domain of the outer membrane transferrin receptor protein of Neisseria gonorrhoeae: implications for Fe transport. Metallomics. 4(4). 361–361. 12 indexed citations
10.
DeArmond, Patrick D., Graham M. West, Hai‐Tsang Huang, & Michael C. Fitzgerald. (2011). Stable Isotope Labeling Strategy for Protein–Ligand Binding Analysis in Multi-Component Protein Mixtures. Journal of the American Society for Mass Spectrometry. 22(3). 418–430. 13 indexed citations
11.
DeArmond, Patrick D., Ying Xu, Erin C Strickland, Kyle G. Daniels, & Michael C. Fitzgerald. (2011). Thermodynamic Analysis of Protein–Ligand Interactions in Complex Biological Mixtures using a Shotgun Proteomics Approach. Journal of Proteome Research. 10(11). 4948–4958. 67 indexed citations
12.
DeArmond, Patrick D., Graham M. West, Victor Anbalagan, et al.. (2010). Discovery of Novel Cyclophilin A Ligands Using an H/D Exchange– and Mass Spectrometry–Based Strategy. SLAS DISCOVERY. 15(9). 1051–1062. 5 indexed citations
13.
Kim, Hyoungsu, J. B. H. Baker, Yongho Park, et al.. (2010). Total Synthesis, Assignment of the Absolute Stereochemistry, and Structure‐Activity Relationship Studies of Subglutinols A and B. Chemistry - An Asian Journal. 5(8). 1902–1910. 24 indexed citations
14.
West, Graham M., J. Will Thompson, Erik J. Soderblom, et al.. (2010). Mass Spectrometry-Based Thermal Shift Assay for Protein−Ligand Binding Analysis. Analytical Chemistry. 82(13). 5573–5581. 22 indexed citations
15.
Roulhac, Petra L., Katherine Weaver, Pratima Adhikari, et al.. (2008). Ex Vivo Analysis of Synergistic Anion Binding to FbpA in Gram-Negative Bacteria. Biochemistry. 47(14). 4298–4305. 13 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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