M. Arthur Moseley

10.4k total citations · 1 hit paper
144 papers, 5.4k citations indexed

About

M. Arthur Moseley is a scholar working on Molecular Biology, Spectroscopy and Epidemiology. According to data from OpenAlex, M. Arthur Moseley has authored 144 papers receiving a total of 5.4k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Molecular Biology, 45 papers in Spectroscopy and 21 papers in Epidemiology. Recurrent topics in M. Arthur Moseley's work include Mass Spectrometry Techniques and Applications (35 papers), Analytical Chemistry and Chromatography (21 papers) and Advanced Proteomics Techniques and Applications (19 papers). M. Arthur Moseley is often cited by papers focused on Mass Spectrometry Techniques and Applications (35 papers), Analytical Chemistry and Chromatography (21 papers) and Advanced Proteomics Techniques and Applications (19 papers). M. Arthur Moseley collaborates with scholars based in United States, United Kingdom and Switzerland. M. Arthur Moseley's co-authors include J. Will Thompson, James W. Jorgenson, Erik J. Soderblom, Leesa J. Deterding, Matthew W. Foster, Jonathan S. Stamler, Kenneth B. Tomer, Michael T. Forrester, Laura G. Dubois and Gregory J. Opiteck and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

M. Arthur Moseley

141 papers receiving 5.2k citations

Hit Papers

1 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Skyline for Small Molecules: A Unifying Software Package for Quantitative Metabolomics

2020 313 citations Kendra J. Adams, Brian Pratt et al. Journal of Proteome Research profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
M. Arthur Moseley United States	41	2.6k	1.7k	764	604	516	144	5.4k
Mark P. Molloy Australia	42	4.4k 1.7×	2.2k 1.3×	426 0.6×	548 0.9×	432 0.8×	223	8.0k
J. Will Thompson United States	40	3.1k 1.2×	981 0.6×	312 0.4×	778 1.3×	612 1.2×	148	5.9k
Katja Dettmer Germany	39	4.1k 1.6×	1.4k 0.9×	833 1.1×	449 0.7×	388 0.8×	115	7.1k
Andrea Urbani Italy	48	3.3k 1.3×	774 0.5×	321 0.4×	992 1.6×	682 1.3×	284	7.5k
Matthew Monroe United States	46	5.0k 1.9×	3.2k 1.9×	373 0.5×	319 0.5×	803 1.6×	141	7.5k
Garry L. Corthals Finland	35	3.2k 1.2×	2.0k 1.2×	340 0.4×	504 0.8×	220 0.4×	97	5.2k
Óscar Yanes Spain	39	5.0k 1.9×	1.8k 1.0×	801 1.0×	902 1.5×	520 1.0×	104	7.4k
Oleg A. Mayboroda Netherlands	38	2.3k 0.9×	1.0k 0.6×	722 0.9×	253 0.4×	209 0.4×	128	4.3k
Rong‐Fong Shen United States	36	5.2k 2.0×	1.0k 0.6×	296 0.4×	652 1.1×	302 0.6×	96	7.0k
Hartmut Schlüter Germany	39	2.6k 1.0×	774 0.5×	268 0.4×	540 0.9×	524 1.0×	279	5.8k

Countries citing papers authored by M. Arthur Moseley

Since Specialization

Citations

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

Fields of papers citing papers by M. Arthur Moseley

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Arthur Moseley

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Kraft, Bryan, Ephraim L. Tsalik, Micah T. McClain, et al.. (2025). Molecular dynamics of the host response to Streptococcus pneumoniae pneumonia in baboons. Animal Models and Experimental Medicine. 8(10). 1896–1907.

Kraus, Virginia B., et al.. (2024). An osteoarthritis pathophysiological continuum revealed by molecular biomarkers. Science Advances. 10(17). eadj6814–eadj6814. 10 indexed citations

Li, Yi‐Ju, Erik J. Soderblom, Vaibhav Jain, et al.. (2023). A “best-in-class” systemic biomarker predictor of clinically relevant knee osteoarthritis structural and pain progression. Science Advances. 9(4). eabq5095–eabq5095. 24 indexed citations

Kraus, Virginia B., Erik J. Soderblom, M. Arthur Moseley, et al.. (2023). Serum proteomic panel validated for prediction of knee osteoarthritis progression. SHILAP Revista de lepidopterología. 6(1). 100425–100425. 9 indexed citations

Giamberardino, Charles, Wiley A. Schell, Jennifer L. Tenor, et al.. (2022). Efficacy of APX2039 in a Rabbit Model of Cryptococcal Meningitis. mBio. 13(6). e0234722–e0234722. 8 indexed citations

Zhou, Kali, et al.. (2021). Qualifiction of proteomic biomarkers for knee osteoarthritis progression. Osteoarthritis and Cartilage. 29. S7–S8. 1 indexed citations

Adams, Kendra J., Brian Pratt, Neelanjan Bose, et al.. (2020). Skyline for Small Molecules: A Unifying Software Package for Quantitative Metabolomics. Journal of Proteome Research. 19(4). 1447–1458. 313 indexed citations breakdown →

John‐Williams, Lisa St., Siamak MahmoudianDehkordi, Matthias Arnold, et al.. (2019). Bile acids targeted metabolomics and medication classification data in the ADNI1 and ADNIGO/2 cohorts. Scientific Data. 6(1). 212–212. 16 indexed citations

Newton, Elizabeth, et al.. (2019). Quantum secrecy in thermal states. Journal of Physics B Atomic Molecular and Optical Physics. 52(12). 125501–125501. 7 indexed citations

10.

Foster, Matthew W., Francis C. Motta, Anastasia Deckard, et al.. (2018). Layers of regulation of cell-cycle gene expression in the budding yeastSaccharomyces cerevisiae. Molecular Biology of the Cell. 29(22). 2644–2655. 11 indexed citations

11.

Juvvadi, Praveen R., et al.. (2018). Kin1 kinase localizes at the hyphal septum and is dephosphorylated by calcineurin but is dispensable for septation and virulence in the human pathogen Aspergillus fumigatus. Biochemical and Biophysical Research Communications. 505(3). 740–746. 7 indexed citations

12.

Brass, David M., William M. Gwinn, Francine L. Kelly, et al.. (2017). The Diacetyl-Exposed Human Airway Epithelial Secretome: New Insights into Flavoring-Induced Airways Disease. American Journal of Respiratory Cell and Molecular Biology. 56(6). 784–795. 17 indexed citations

13.

Alexander, Georgia M., Yang Z. Huang, Erik J. Soderblom, et al.. (2016). Vagal nerve stimulation modifies neuronal activity and the proteome of excitatory synapses of amygdala/piriform cortex. Journal of Neurochemistry. 140(4). 629–644. 27 indexed citations

14.

Kraus, Virginia B., J. Catterall, Erik J. Soderblom, M. Arthur Moseley, & Sujit Suchindran. (2016). Development of a serum biomarker panel highly predictive of knee osteoarthritis progression. Osteoarthritis and Cartilage. 24. S20–S20. 2 indexed citations

15.

Dulce, Raúl A, Matthew W. Foster, Jingsheng Liang, et al.. (2015). S -Nitrosylation of Sarcomeric Proteins Depresses Myofilament Ca ²⁺ Sensitivity in Intact Cardiomyocytes. Antioxidants and Redox Signaling. 23(13). 1017–1034. 49 indexed citations

16.

Bauernfeind, Amy L., Erik J. Soderblom, M. Arthur Moseley, et al.. (2015). Evolutionary Divergence of Gene and Protein Expression in the Brains of Humans and Chimpanzees. Genome Biology and Evolution. 7(8). 2276–2288. 31 indexed citations

17.

Tucker, Ashley T., Benjamin G. Bobay, Erik J. Soderblom, et al.. (2014). A DNA Mimic: The Structure and Mechanism of Action for the Anti-Repressor Protein AbbA. Journal of Molecular Biology. 426(9). 1911–1924. 15 indexed citations

18.

Foster, Matthew W., J. Will Thompson, Loretta G. Que, et al.. (2013). Proteomic Analysis of Human Bronchoalveolar Lavage Fluid after Subsgemental Exposure. Journal of Proteome Research. 12(5). 2194–2205. 19 indexed citations

19.

Wang, Ying, Matthew W. Foster, Tony D. Church, et al.. (2012). SPLUNC1 Plays A Critical Role In Host Defense In Asthma. A6476–A6476.

20.

Cyr, Derek D., Joseph E. Lucas, J. Will Thompson, et al.. (2011). Characterization of Serum Proteins Associated with IL28B Genotype among Patients with Chronic Hepatitis C. PLoS ONE. 6(7). e21854–e21854. 22 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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