Hunter Moseley

3.2k total citations
85 papers, 2.1k citations indexed

About

Hunter Moseley is a scholar working on Molecular Biology, Spectroscopy and Materials Chemistry. According to data from OpenAlex, Hunter Moseley has authored 85 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Molecular Biology, 20 papers in Spectroscopy and 15 papers in Materials Chemistry. Recurrent topics in Hunter Moseley's work include Metabolomics and Mass Spectrometry Studies (32 papers), Protein Structure and Dynamics (21 papers) and Bioinformatics and Genomic Networks (16 papers). Hunter Moseley is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (32 papers), Protein Structure and Dynamics (21 papers) and Bioinformatics and Genomic Networks (16 papers). Hunter Moseley collaborates with scholars based in United States, Belgium and United Kingdom. Hunter Moseley's co-authors include G.T. Montelione, Teresa W.‐M. Fan, Andrew N. Lane, Richard M. Higashi, Daniel Monleón, Robert M Flight, Thomas Szyperski, N. Rama Krishna, Pawel Lorkiewicz and Ernest V. Curto and has published in prestigious journals such as Nature, Chemical Reviews and Proceedings of the National Academy of Sciences.

In The Last Decade

Hunter Moseley

83 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hunter Moseley United States 23 1.6k 550 430 235 156 85 2.1k
Tammo Diercks Spain 29 1.6k 0.9× 220 0.4× 263 0.6× 66 0.3× 63 0.4× 74 2.1k
Zachary Miller United States 5 1.3k 0.8× 350 0.6× 358 0.8× 44 0.2× 72 0.5× 10 1.6k
Christopher Schulte United States 4 1.1k 0.7× 372 0.7× 283 0.7× 50 0.2× 71 0.5× 4 1.4k
Gregg Siegal Netherlands 27 1.7k 1.1× 284 0.5× 305 0.7× 79 0.3× 53 0.3× 59 2.2k
Ah Young Park Australia 23 1.0k 0.6× 552 1.0× 457 1.1× 55 0.2× 71 0.5× 44 1.8k
Miroslava Čuperlović‐Culf Canada 25 1.3k 0.8× 188 0.3× 120 0.3× 331 1.4× 39 0.3× 83 2.2k
Bennett T. Farmer United States 23 1.2k 0.7× 665 1.2× 392 0.9× 55 0.2× 356 2.3× 33 1.8k
M. Sundström Sweden 23 2.4k 1.4× 201 0.4× 293 0.7× 130 0.6× 31 0.2× 40 3.4k
Eiichi Nakatani Japan 3 1.0k 0.6× 322 0.6× 268 0.6× 41 0.2× 70 0.4× 4 1.3k
Robert T. Gampe United States 22 2.0k 1.2× 364 0.7× 210 0.5× 126 0.5× 100 0.6× 49 2.9k

Countries citing papers authored by Hunter Moseley

Since Specialization
Citations

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

Fields of papers citing papers by Hunter Moseley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hunter Moseley

This figure shows the co-authorship network connecting the top 25 collaborators of Hunter Moseley. A scholar is included among the top collaborators of Hunter 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 Hunter Moseley. Hunter Moseley 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.
Liu, Xiaoqi, Sally R. Ellingson, Christine F. Brainson, et al.. (2024). L858R / L718Q and L858R / L792H Mutations of EGFR Inducing Resistance Against Osimertinib by Forming Additional Hydrogen Bonds. Proteins Structure Function and Bioinformatics. 93(3). 673–683. 1 indexed citations
2.
Li, Jing, Liping Yang, Jun Song, et al.. (2024). Neurotensin accelerates atherosclerosis and increases circulating levels of short-chain and saturated triglycerides. Atherosclerosis. 392. 117479–117479. 1 indexed citations
3.
Moseley, Hunter, et al.. (2024). Predicting the Association of Metabolites with Both Pathway Categories and Individual Pathways. Metabolites. 14(9). 510–510. 1 indexed citations
4.
5.
Jin, Huan, et al.. (2023). Benchmark Dataset for Training Machine Learning Models to Predict the Pathway Involvement of Metabolites. Metabolites. 13(11). 1120–1120. 6 indexed citations
6.
Chen, Fan, Jinpeng Liu, Robert M Flight, et al.. (2023). Polycomb deficiency drives a FOXP2-high aggressive state targetable by epigenetic inhibitors. Nature Communications. 14(1). 336–336. 8 indexed citations
7.
Jin, Huan & Hunter Moseley. (2023). md_harmonize: A Python Package for Atom-Level Harmonization of Public Metabolic Databases. Metabolites. 13(12). 1199–1199. 4 indexed citations
8.
Moseley, Hunter, et al.. (2023). The metabolomics workbench file status website: a metadata repository promoting FAIR principles of metabolomics data. BMC Bioinformatics. 24(1). 299–299. 11 indexed citations
9.
Moseley, Hunter, et al.. (2023). kegg_pull: a software package for the RESTful access and pulling from the Kyoto Encyclopedia of Gene and Genomes. BMC Bioinformatics. 24(1). 78–78. 11 indexed citations
10.
11.
Liu, Jinpeng, Robert M Flight, Xiulong Song, et al.. (2021). Cellular Origins of EGFR‐Driven Lung Cancer Cells Determine Sensitivity to Therapy. Advanced Science. 8(22). e2101999–e2101999. 15 indexed citations
12.
Zhong, Yu, Kabhilan Mohan, Jinpeng Liu, et al.. (2020). Loss of CLN3, the gene mutated in juvenile neuronal ceroid lipofuscinosis, leads to metabolic impairment and autophagy induction in retinal pigment epithelium. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1866(10). 165883–165883. 23 indexed citations
13.
14.
Jin, Huan & Hunter Moseley. (2019). Moiety modeling framework for deriving moiety abundances from mass spectrometry measured isotopologues. BMC Bioinformatics. 20(1). 524–524. 6 indexed citations
15.
Chen, Xi, et al.. (2018). Automatic 13C chemical shift reference correction for unassigned protein NMR spectra. Journal of Biomolecular NMR. 72(1-2). 11–28. 4 indexed citations
16.
Eteleeb, Abdallah M., Robert M Flight, Xiaorong Shao, et al.. (2015). Genome-Wide Profiling of PARP1 Reveals an Interplay with Gene Regulatory Regions and DNA Methylation. PLoS ONE. 10(8). e0135410–e0135410. 58 indexed citations
17.
Higashi, Richard M., Teresa W.‐M. Fan, Pawel Lorkiewicz, Hunter Moseley, & Andrew N. Lane. (2014). Stable Isotope-Labeled Tracers for Metabolic Pathway Elucidation by GC-MS and FT-MS. Methods in molecular biology. 1198. 147–167. 40 indexed citations
18.
Fan, Teresa W.‐M., et al.. (2014). Development and in silico evaluation of large-scale metabolite identification methods using functional group detection for metabolomics. Frontiers in Genetics. 5. 237–237. 16 indexed citations
19.
Baran, Michael, Hunter Moseley, James M. Aramini, et al.. (2006). SPINS: A laboratory information management system for organizing and archiving intermediate and final results from NMR protein structure determinations. Proteins Structure Function and Bioinformatics. 62(4). 843–851. 10 indexed citations
20.
Szyperski, Thomas, et al.. (2002). Reduced-dimensionality NMR spectroscopy for high-throughput protein resonance assignment. Proceedings of the National Academy of Sciences. 99(12). 8009–8014. 144 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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