Kelly M. Hines

1.6k total citations
46 papers, 1.1k citations indexed

About

Kelly M. Hines is a scholar working on Molecular Biology, Spectroscopy and Infectious Diseases. According to data from OpenAlex, Kelly M. Hines has authored 46 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 13 papers in Spectroscopy and 10 papers in Infectious Diseases. Recurrent topics in Kelly M. Hines's work include Metabolomics and Mass Spectrometry Studies (14 papers), Mass Spectrometry Techniques and Applications (13 papers) and Antimicrobial Resistance in Staphylococcus (10 papers). Kelly M. Hines is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (14 papers), Mass Spectrometry Techniques and Applications (13 papers) and Antimicrobial Resistance in Staphylococcus (10 papers). Kelly M. Hines collaborates with scholars based in United States, Spain and France. Kelly M. Hines's co-authors include Libin Xu, Josi Herron, John A. McLean, Jody C. May, Dylan H. Ross, Brian J. Werth, Matthew F. Bush, Stephen J. Salipante, Adam Waalkes and Kelsi Penewit and has published in prestigious journals such as SHILAP Revista de lepidopterología, Analytical Chemistry and Biochemistry.

In The Last Decade

Kelly M. Hines

42 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kelly M. Hines United States 18 609 408 129 108 89 46 1.1k
Anne K. Bendt Singapore 17 710 1.2× 226 0.6× 198 1.5× 90 0.8× 45 0.5× 41 1.1k
Eponine Oler Canada 10 554 0.9× 79 0.2× 53 0.4× 54 0.5× 52 0.6× 16 937
Darrell D. Marshall United States 13 377 0.6× 238 0.6× 94 0.7× 99 0.9× 21 0.2× 20 706
Vanessa V. Phelan United States 18 812 1.3× 182 0.4× 75 0.6× 92 0.9× 100 1.1× 27 1.2k
Andrea Palyzová Czechia 15 268 0.4× 73 0.2× 84 0.7× 53 0.5× 36 0.4× 54 605
Mattia Zampieri Switzerland 21 1.2k 2.0× 110 0.3× 78 0.6× 173 1.6× 39 0.4× 36 1.6k
Magdalena Kliem Germany 9 476 0.8× 54 0.1× 47 0.4× 115 1.1× 229 2.6× 11 921
Rustem Shaykhutdinov Canada 16 815 1.3× 65 0.2× 54 0.4× 76 0.7× 28 0.3× 19 1.2k
Steven Halouska United States 12 590 1.0× 56 0.1× 219 1.7× 80 0.7× 39 0.4× 16 805
Chang Wang China 17 628 1.0× 173 0.4× 36 0.3× 79 0.7× 25 0.3× 45 931

Countries citing papers authored by Kelly M. Hines

Since Specialization
Citations

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

Fields of papers citing papers by Kelly M. Hines

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kelly M. Hines

This figure shows the co-authorship network connecting the top 25 collaborators of Kelly M. Hines. A scholar is included among the top collaborators of Kelly M. Hines 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 Kelly M. Hines. Kelly M. Hines 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.
2.
Hines, Kelly M., et al.. (2025). Rapid Multi-Omics for Bacterial Identification Using Flow Injection–Ion Mobility–Mass Spectrometry. Analytical Chemistry. 97(26). 13809–13816.
3.
Fletcher, Joshua R., Amanda Hanna, C. Daniel Freeman, et al.. (2025). Commensal-derived short-chain fatty acids disrupt lipid membrane homeostasis in Staphylococcus aureus. mBio. 17(1). e0139225–e0139225.
4.
Kreider, Richard B., et al.. (2025). Safety of creatine supplementation: analysis of the prevalence of reported side effects in clinical trials and adverse event reports. Journal of the International Society of Sports Nutrition. 22(sup1). 2488937–2488937. 8 indexed citations
5.
Pokorny, Antje, Vineet K. Singh, Craig Gatto, et al.. (2024). Lipidomics of homeoviscous adaptation to low temperatures in Staphylococcus aureus utilizing exogenous straight-chain unsaturated fatty acids. Journal of Bacteriology. 206(7). e0018724–e0018724. 2 indexed citations
6.
7.
Hines, Kelly M., et al.. (2024). MOCCal: A Multiomic CCS Calibrator for Traveling Wave Ion Mobility Mass Spectrometry. Analytical Chemistry. 96(3). 1185–1194. 3 indexed citations
8.
Hines, Kelly M., et al.. (2024). Growth of Staphylococcus aureus in the presence of oleic acid shifts the glycolipid fatty acid profile and increases resistance to antimicrobial peptides. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1867(1). 184395–184395. 2 indexed citations
9.
Hines, Kelly M., et al.. (2023). HILIC-IM-MS for Simultaneous Lipid and Metabolite Profiling of Bacteria. SHILAP Revista de lepidopterología. 4(1). 104–116. 4 indexed citations
10.
Tomita, Hideaki, Kelly M. Hines, Josi Herron, et al.. (2022). 7-Dehydrocholesterol-derived oxysterols cause neurogenic defects in Smith-Lemli-Opitz syndrome. eLife. 11. 16 indexed citations
11.
Hines, Kelly M., et al.. (2022). Ion Mobility Shift Reagents for Lipid Double Bonds Based on Paternò–Büchi Photoderivatization with Halogenated Acetophenones. Journal of the American Society for Mass Spectrometry. 33(10). 1982–1989. 8 indexed citations
12.
Hines, Kelly M., et al.. (2021). HutW from Vibrio cholerae Is an Anaerobic Heme-Degrading Enzyme with Unique Functional Properties. Biochemistry. 60(9). 699–710. 12 indexed citations
13.
Shen, Tianwei, et al.. (2021). Varied Contribution of Phospholipid Shedding From Membrane to Daptomycin Tolerance in Staphylococcus aureus. Frontiers in Molecular Biosciences. 8. 679949–679949. 5 indexed citations
14.
Hines, Kelly M., Xi Chen, Craig Gatto, et al.. (2020). Lipidomic and Ultrastructural Characterization of the Cell Envelope of Staphylococcus aureus Grown in the Presence of Human Serum. mSphere. 5(3). 26 indexed citations
15.
Hines, Kelly M., Tianwei Shen, Adam Waalkes, et al.. (2019). Occurrence of cross-resistance and β-lactam seesaw effect in glycopeptide-, lipopeptide- and lipoglycopeptide-resistant MRSA correlates with membrane phosphatidylglycerol levels. Journal of Antimicrobial Chemotherapy. 75(5). 1182–1186. 33 indexed citations
16.
Fleurie, Aurore, Abdelrahim Zoued, Laura Álvarez, et al.. (2019). A Vibrio cholerae BolA-Like Protein Is Required for Proper Cell Shape and Cell Envelope Integrity. mBio. 10(4). 21 indexed citations
17.
Li, Amy, Kelly M. Hines, & Libin Xu. (2019). Lipidomics by HILIC-Ion Mobility-Mass Spectrometry. Methods in molecular biology. 2084. 119–132. 28 indexed citations
18.
Weber, Elijah J., Kevin A. Lidberg, Lu Wang, et al.. (2018). Human kidney on a chip assessment of polymyxin antibiotic nephrotoxicity. JCI Insight. 3(24). 70 indexed citations
19.
Hines, Kelly M., et al.. (2017). Large-Scale Structural Characterization of Drug and Drug-Like Compounds by High-Throughput Ion Mobility-Mass Spectrometry. Analytical Chemistry. 89(17). 9023–9030. 105 indexed citations
20.
Hines, Kelly M., Billy R. Ballard, Dana Marshall, & John A. McLean. (2014). Structural mass spectrometry of tissue extracts to distinguish cancerous and non-cancerous breast diseases. Molecular BioSystems. 10(11). 2827–2837. 9 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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