Timothy J. Garrett

7.5k total citations · 1 hit paper
203 papers, 4.9k citations indexed

About

Timothy J. Garrett is a scholar working on Molecular Biology, Spectroscopy and Physiology. According to data from OpenAlex, Timothy J. Garrett has authored 203 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 127 papers in Molecular Biology, 47 papers in Spectroscopy and 23 papers in Physiology. Recurrent topics in Timothy J. Garrett's work include Metabolomics and Mass Spectrometry Studies (76 papers), Mass Spectrometry Techniques and Applications (35 papers) and Analytical Chemistry and Chromatography (21 papers). Timothy J. Garrett is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (76 papers), Mass Spectrometry Techniques and Applications (35 papers) and Analytical Chemistry and Chromatography (21 papers). Timothy J. Garrett collaborates with scholars based in United States, China and Brazil. Timothy J. Garrett's co-authors include Richard A. Yost, John A. Bowden, Jeremy P. Koelmel, Candice Z. Ulmer, R. E. Patterson, Iqbal Mahmud, Dodge L. Baluya, Nicholas Kroeger, Emily L. Gill and Chris Beecher and has published in prestigious journals such as Cell, Circulation and Nature Communications.

In The Last Decade

Timothy J. Garrett

194 papers receiving 4.9k citations

Hit Papers

Infant microbes and metabolites point to childhood neurod... 2024 2026 2025 2024 10 20 30 40 50
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.

  1. Infant microbes and metabolites point to childhood neurodevelopmental disorders
    2024 53 citations Timothy J. Garrett et al. profile →

Peers

Timothy J. Garrett
Eric Chun Yong Chan Singapore
Jun Han Canada
Christophe Junot France
Uta Ceglarek Germany
Óscar Yanes Spain
G. A. Nagana Gowda United States
Marie Brown United Kingdom
Martin Giera Netherlands
Antonia Garcı́a Spain
Leonardo Tenori Italy
Eric Chun Yong Chan Singapore
Timothy J. Garrett
Citations per year, relative to Timothy J. Garrett Timothy J. Garrett (= 1×) peers Eric Chun Yong Chan

Countries citing papers authored by Timothy J. Garrett

Since Specialization
Citations

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

Fields of papers citing papers by Timothy J. Garrett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Timothy J. Garrett

This figure shows the co-authorship network connecting the top 25 collaborators of Timothy J. Garrett. A scholar is included among the top collaborators of Timothy J. Garrett 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 Timothy J. Garrett. Timothy J. Garrett 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.
Vanova, Katerina Hadrava, Michal Kraus, Timothy J. Garrett, et al.. (2025). Development of succinate dehydrogenase subunit B-deficient tumor models for preclinical immunotherapy testing. Cancer Letters. 632. 217969–217969.
2.
Shoemaker, Lawrence R., et al.. (2024). Functional and metabolomic analysis of urinary extracellular vesicles from juvenile mice with renal compensatory hypertrophy. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1870(5). 167096–167096. 1 indexed citations
3.
4.
Lee, Jae‐Hwan, et al.. (2024). Indole-3-pyruvate: Analysis and Control of Tautomerism and Reactivity. Analytical Chemistry. 96(25). 10399–10407. 1 indexed citations
5.
6.
Mahar, Rohit, et al.. (2023). Segmented Flow Strategies for Integrating Liquid Chromatography–Mass Spectrometry with Nuclear Magnetic Resonance for Lipidomics. Analytical Chemistry. 95(3). 1908–1915. 7 indexed citations
7.
Lemas, Dominick J., Bethany Dado-Senn, Ke Xu, et al.. (2023). Untargeted Metabolomic Analysis of Lactation-Stage-Matched Human and Bovine Milk Samples at 2 Weeks Postnatal. Nutrients. 15(17). 3768–3768. 5 indexed citations
8.
Koelmel, Jeremy P., Michael P. Kummer, Olivier Chevallier, et al.. (2023). Expanding Per- and Polyfluoroalkyl Substances Coverage in Nontargeted Analysis Using Data-Independent Analysis and IonDecon. Journal of the American Society for Mass Spectrometry. 34(11). 2525–2537. 6 indexed citations
9.
Richter, Susan, Timothy J. Garrett, Nicole Bechmann, Roderick Clifton‐Bligh, & Hans K. Ghayee. (2023). Metabolomics in paraganglioma: applications and perspectives from genetics to therapy. Endocrine Related Cancer. 30(6). 12 indexed citations
10.
Liu, Qingchun, et al.. (2022). Potential and Metabolic Pathways of Eugenol in the Management of Xanthomonas perforans, a Pathogen of Bacterial Spot of Tomato. International Journal of Molecular Sciences. 23(23). 14648–14648. 4 indexed citations
11.
Tan, Sze Kiat, Iqbal Mahmud, Flavia Fontanesi, et al.. (2021). Obesity-Dependent Adipokine Chemerin Suppresses Fatty Acid Oxidation to Confer Ferroptosis Resistance. Cancer Discovery. 11(8). 2072–2093. 78 indexed citations
12.
Koelmel, Jeremy P., Juan J. Aristizabal‐Henao, Zhixu Ni, et al.. (2021). A Novel Technique for Redox Lipidomics Using Mass Spectrometry: Application on Vegetable Oils Used to Fry Potatoes. Journal of the American Society for Mass Spectrometry. 32(7). 1798–1809. 5 indexed citations
13.
Hatch, Marguerite, et al.. (2021). Extracellular Vesicle Analysis by Paper Spray Ionization Mass Spectrometry. Metabolites. 11(5). 308–308. 12 indexed citations
14.
Voils, Stacy A., et al.. (2020). Intensive Care Unit Delirium in Surgical Patients Is Associated with Upregulation in Tryptophan Metabolism. Pharmacotherapy The Journal of Human Pharmacology and Drug Therapy. 40(6). 500–506. 12 indexed citations
15.
Pinto, Frederico Garcia, et al.. (2020). Rapid Prostate Cancer Noninvasive Biomarker Screening Using Segmented Flow Mass Spectrometry-Based Untargeted Metabolomics. Journal of Proteome Research. 19(5). 2080–2091. 25 indexed citations
16.
17.
Mahmud, Iqbal & Timothy J. Garrett. (2020). Mass Spectrometry Techniques in Emerging Pathogens Studies: COVID-19 Perspectives. Journal of the American Society for Mass Spectrometry. 31(10). 2013–2024. 58 indexed citations
18.
Wang, Gary P., et al.. (2020). Analysis of Tryptophan Metabolites in Serum Using Wide-Isolation Strategies for UHPLC–HRMS/MS. Analytical Chemistry. 92(3). 2550–2557. 8 indexed citations
19.
Garrett, Timothy J., et al.. (2019). Strain-Level Differentiation of Bacteria by Paper Spray Ionization Mass Spectrometry. Analytical Chemistry. 91(8). 4964–4968. 23 indexed citations
20.
Hatch, Marguerite, et al.. (2019). Metabolomic profiling of oxalate-degrading probiotic Lactobacillus acidophilus and Lactobacillus gasseri. PLoS ONE. 14(9). e0222393–e0222393. 53 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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