Scott J. Walmsley

687 total citations
22 papers, 496 citations indexed

About

Scott J. Walmsley is a scholar working on Molecular Biology, Spectroscopy and Cancer Research. According to data from OpenAlex, Scott J. Walmsley has authored 22 papers receiving a total of 496 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 8 papers in Spectroscopy and 7 papers in Cancer Research. Recurrent topics in Scott J. Walmsley's work include Metabolomics and Mass Spectrometry Studies (8 papers), Carcinogens and Genotoxicity Assessment (7 papers) and Mass Spectrometry Techniques and Applications (6 papers). Scott J. Walmsley is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (8 papers), Carcinogens and Genotoxicity Assessment (7 papers) and Mass Spectrometry Techniques and Applications (6 papers). Scott J. Walmsley collaborates with scholars based in United States, Singapore and Russia. Scott J. Walmsley's co-authors include Robert J. Turesky, Alexey I. Nesvizhskii, P. J. Gaines, Hyungwon Choi, Medjda Bellamri, Nancy Wisnewski, Nichole Reisdorph, Damian Fermin, Anne‐Claude Gingras and Peter W. Villalta and has published in prestigious journals such as Analytical Chemistry, Molecular & Cellular Proteomics and American Journal of Physiology-Renal Physiology.

In The Last Decade

Scott J. Walmsley

21 papers receiving 493 citations

Peers

Scott J. Walmsley
Darryl Johnson United States
Ruo Zhou China
Adèle Bourmaud Luxembourg
Shuai Yu China
Darryl Johnson United States
Scott J. Walmsley
Citations per year, relative to Scott J. Walmsley Scott J. Walmsley (= 1×) peers Darryl Johnson

Countries citing papers authored by Scott J. Walmsley

Since Specialization
Citations

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

Fields of papers citing papers by Scott J. Walmsley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Scott J. Walmsley. 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 Scott J. Walmsley. The network helps show where Scott J. Walmsley may publish in the future.

Co-authorship network of co-authors of Scott J. Walmsley

This figure shows the co-authorship network connecting the top 25 collaborators of Scott J. Walmsley. A scholar is included among the top collaborators of Scott J. Walmsley 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 Scott J. Walmsley. Scott J. Walmsley 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.
Bellamri, Medjda, Scott J. Walmsley, Lihua Yao, et al.. (2025). Untargeted DNA Adductomics Identifies Aristolochic Acid III as a Potent DNA-Damaging Agent among 11 Substituted Aromatic Genotoxicants in the Rat Urinary System. Chemical Research in Toxicology. 38(7). 1239–1256.
2.
Walmsley, Scott J., Jingshu Guo, Anamary Tarifa, et al.. (2024). Mass Spectral Library for DNA Adductomics. Chemical Research in Toxicology. 37(2). 302–310. 8 indexed citations
3.
Walmsley, Scott J., Thomas A. Rosenquist, Viktoriya S. Sidorenko, et al.. (2024). Screening DNA Damage in the Rat Kidney and Liver by Untargeted DNA Adductomics. Chemical Research in Toxicology. 37(2). 340–360. 6 indexed citations
4.
Bellamri, Medjda, et al.. (2022). DNA Damage and Oxidative Stress of Tobacco Smoke Condensate in Human Bladder Epithelial Cells. Chemical Research in Toxicology. 35(10). 1863–1880. 20 indexed citations
5.
Guo, Jingshu, Joseph S. Koopmeiners, Scott J. Walmsley, et al.. (2022). The Cooked Meat Carcinogen 2-Amino-1-methyl-6-phenylimidazo[4,5-b]pyridine Hair Dosimeter, DNA Adductomics Discovery, and Associations with Prostate Cancer Pathology Biomarkers. Chemical Research in Toxicology. 35(5). 703–730. 7 indexed citations
6.
Bellamri, Medjda, Scott J. Walmsley, & Robert J. Turesky. (2021). Metabolism and biomarkers of heterocyclic aromatic amines in humans. Genes and Environment. 43(1). 29–29. 37 indexed citations
7.
Walmsley, Scott J., Jingshu Guo, Paari Murugan, et al.. (2021). Comprehensive Analysis of DNA Adducts Using Data-Independent wSIM/MS2 Acquisition and wSIM-City. Analytical Chemistry. 93(16). 6491–6500. 17 indexed citations
8.
Chen, Haoqing, Ziyou Cui, Leila Hejazi, et al.. (2020). Kinetics of DNA Adducts and Abasic Site Formation in Tissues of Mice Treated with a Nitrogen Mustard. Chemical Research in Toxicology. 33(4). 988–998. 10 indexed citations
9.
Guo, Jingshu, Robert J. Turesky, Anamary Tarifa, et al.. (2020). Development of a DNA Adductome Mass Spectral Database. Chemical Research in Toxicology. 33(4). 852–854. 19 indexed citations
10.
Boysen, Gunnar, Rashi Arora, Scott J. Walmsley, et al.. (2020). Effects of GSTT1 Genotype on the Detoxification of 1,3-Butadiene Derived Diepoxide and Formation of Promutagenic DNA–DNA Cross-Links in Human Hapmap Cell Lines. Chemical Research in Toxicology. 34(1). 119–131. 10 indexed citations
11.
Reisdorph, Nichole, Scott J. Walmsley, & Rick Reisdorph. (2019). A Perspective and Framework for Developing Sample Type Specific Databases for LC/MS-Based Clinical Metabolomics. Metabolites. 10(1). 8–8. 30 indexed citations
12.
Walmsley, Scott J., et al.. (2019). Methods and Challenges for Computational Data Analysis for DNA Adductomics. Chemical Research in Toxicology. 32(11). 2156–2168. 19 indexed citations
13.
Walmsley, Scott J., Charmion Cruickshank‐Quinn, Kevin Quinn, et al.. (2018). A prototypic small molecule database for bronchoalveolar lavage-based metabolomics. Scientific Data. 5(1). 180060–180060. 9 indexed citations
14.
Walmsley, Scott J., Chui Ming Gemmy Cheung, Liyan Chen, et al.. (2017). Customized Consensus Spectral Library Building for Untargeted Quantitative Metabolomics Analysis with Data Independent Acquisition Mass Spectrometry and MetaboDIA Workflow. Analytical Chemistry. 89(9). 4897–4906. 41 indexed citations
15.
Zhang, Xing, Kimberly Kew, Richard Reisdorph, et al.. (2017). Performance of a High-Pressure Liquid Chromatography-Ion Mobility-Mass Spectrometry System for Metabolic Profiling. Analytical Chemistry. 89(12). 6384–6391. 36 indexed citations
16.
Walmsley, Scott J., Paul A. Rudnick, Yuxue Liang, et al.. (2013). Comprehensive Analysis of Protein Digestion Using Six Trypsins Reveals the Origin of Trypsin As a Significant Source of Variability in Proteomics. Journal of Proteome Research. 12(12). 5666–5680. 62 indexed citations
17.
Walmsley, Scott J., et al.. (2012). Proteomic profiling of the effect of metabolic acidosis on the apical membrane of the proximal convoluted tubule. American Journal of Physiology-Renal Physiology. 302(11). F1465–F1477. 11 indexed citations
18.
Gaines, P. J., et al.. (2007). Identification of serum biomarkers for canine B-cell lymphoma by use of surface-enhanced laser desorption-ionization time-of-flight mass spectrometry. American Journal of Veterinary Research. 68(4). 405–410. 14 indexed citations
19.
Walmsley, Scott J. & P. J. Gaines. (2004). Identification of two cDNAs encoding synaptic vesicle protein 2 (SV2)‐like proteins from epithelial tissues in the cat flea, Ctenocephalides felis. Insect Molecular Biology. 13(3). 225–230. 3 indexed citations
20.
Gaines, P. J., Scott J. Walmsley, & Nancy Wisnewski. (2003). Cloning and characterization of five cDNAs encoding peritrophin-A domains from the cat flea, Ctenocephalides felis. Insect Biochemistry and Molecular Biology. 33(11). 1061–1073. 41 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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