Gary J. Patti

18.2k total citations · 6 hit papers
160 papers, 12.3k citations indexed

About

Gary J. Patti is a scholar working on Molecular Biology, Spectroscopy and Physiology. According to data from OpenAlex, Gary J. Patti has authored 160 papers receiving a total of 12.3k indexed citations (citations by other indexed papers that have themselves been cited), including 114 papers in Molecular Biology, 43 papers in Spectroscopy and 29 papers in Physiology. Recurrent topics in Gary J. Patti's work include Metabolomics and Mass Spectrometry Studies (69 papers), Cancer, Hypoxia, and Metabolism (21 papers) and Analytical Chemistry and Chromatography (20 papers). Gary J. Patti is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (69 papers), Cancer, Hypoxia, and Metabolism (21 papers) and Analytical Chemistry and Chromatography (20 papers). Gary J. Patti collaborates with scholars based in United States, Italy and France. Gary J. Patti's co-authors include Gary Siuzdak, Óscar Yanes, Ralf Tautenhahn, Nathaniel G. Mahieu, Duane Rinehart, Kevin Cho, Caroline H. Johnson, Zheng‐Jiang Zhu, Xiaojing Huang and Yahui Wang and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Gary J. Patti

150 papers receiving 12.2k citations

Hit Papers

Metabolomics: the apogee of the omics trilogy 2012 2026 2016 2021 2012 2012 2019 2021 2023 500 1000 1.5k

Peers

Gary J. Patti
Peng Li China
David Broadhurst United Kingdom
Nicola Zamboni Switzerland
Julian L. Griffin United Kingdom
Warwick B. Dunn United Kingdom
Wenyun Lu United States
Peng Li China
Gary J. Patti
Citations per year, relative to Gary J. Patti Gary J. Patti (= 1×) peers Peng Li

Countries citing papers authored by Gary J. Patti

Since Specialization
Citations

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

Fields of papers citing papers by Gary J. Patti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gary J. Patti

This figure shows the co-authorship network connecting the top 25 collaborators of Gary J. Patti. A scholar is included among the top collaborators of Gary J. Patti 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 Gary J. Patti. Gary J. Patti 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.
Samovski, Dmitri, Gordon I. Smith, Hector H. Palacios, et al.. (2025). Effect of Marked Weight Loss on Adipose Tissue Biology in People With Obesity and Type 2 Diabetes. Diabetes Care. 48(8). 1342–1351. 3 indexed citations
2.
Ferguson, Daniel, Mandy M. Chan, Terri Pietka, et al.. (2025). A Critical Role for the Mitochondrial Pyruvate Carrier in Hepatic Stellate Cell Activation. Cellular and Molecular Gastroenterology and Hepatology. 19(8). 101517–101517. 1 indexed citations
3.
Fang, Liang, Xiangfeng Niu, Tiandao Li, et al.. (2025). NFIA regulates articular chondrocyte fatty acid metabolism and joint homeostasis. Science Translational Medicine. 17(809). eadm9488–eadm9488.
4.
Shriver, Leah P., et al.. (2024). Investigating post-traumatic syringomyelia and local fluid osmoregulation via a rat model. Fluids and Barriers of the CNS. 21(1). 19–19. 1 indexed citations
5.
Metz, Thomas, Vasuk Gautam, Afia Anjum, et al.. (2024). Introducing “Identification Probability” for Automated and Transferable Assessment of Metabolite Identification Confidence in Metabolomics and Related Studies. Analytical Chemistry. 97(1). 1–11. 4 indexed citations
6.
Singer, Jason, Daniel Ferguson, Trevor M. Shew, et al.. (2024). Adipocyte lipin 1 expression associates with human metabolic health and regulates systemic metabolism in mice. Journal of Clinical Investigation. 134(23).
7.
Schwaiger-Haber, Michaela, Lisa Schlicker, Martijn R. Molenaar, et al.. (2024). Spatial single-cell isotope tracing reveals heterogeneity of de novo fatty acid synthesis in cancer. Nature Metabolism. 6(9). 1695–1711. 22 indexed citations
8.
Shi, Yuying, et al.. (2024). Predicting Collision Cross-Section Values for Small Molecules through Chemical Class-Based Multimodal Graph Attention Network. Journal of Chemical Information and Modeling. 64(16). 6305–6315. 2 indexed citations
9.
Qiu, Lin, Hao Jiang, Kevin Cho, et al.. (2024). Metabolite Study and Structural Authentication for the First-in-Human Use Sphingosine-1-phosphate Receptor 1 Radiotracer. ACS Chemical Neuroscience. 15(9). 1882–1892.
10.
Chen, Sheng, et al.. (2024). HTRA1 disaggregates α-synuclein amyloid fibrils and converts them into non-toxic and seeding incompetent species. Nature Communications. 15(1). 2436–2436. 8 indexed citations
11.
Myeong, Jongyun, Marion I. Stunault, Hao Zhang, et al.. (2024). Mitochondrial pyruvate transport regulates presynaptic metabolism and neurotransmission. Science Advances. 10(46). eadp7423–eadp7423. 3 indexed citations
12.
Zou, Wei, Yongjia Li, Kevin Cho, et al.. (2023). BAP1 promotes osteoclast function by metabolic reprogramming. Nature Communications. 14(1). 5923–5923. 19 indexed citations
13.
Muhammad, Naoshad, Jennifer Stanley, Kevin Cho, et al.. (2022). Monounsaturated and Diunsaturated Fatty Acids Sensitize Cervical Cancer to Radiation Therapy. Cancer Research. 82(24). 4515–4527. 14 indexed citations
14.
Cho, Kevin, Elena Lomonosova, Mary M. Mullen, et al.. (2022). GAS6-AXL Inhibition by AVB-500 Overcomes Resistance to Paclitaxel in Endometrial Cancer by Decreasing Tumor Cell Glycolysis. Molecular Cancer Therapeutics. 21(8). 1348–1359. 10 indexed citations
15.
Stancliffe, Ethan, et al.. (2022). An Untargeted Metabolomics Workflow that Scales to Thousands of Samples for Population-Based Studies. Analytical Chemistry. 94(50). 17370–17378. 17 indexed citations
16.
Capellades, Jordi, Dennis Vughs, Michaela Schwaiger-Haber, et al.. (2021). HERMES: a molecular-formula-oriented method to target the metabolome. Nature Methods. 18(11). 1370–1376. 19 indexed citations
17.
Sletten, Arthur C., Michaela Schwaiger-Haber, Hideji Fujiwara, et al.. (2021). Loss of SNORA73 reprograms cellular metabolism and protects against steatohepatitis. Nature Communications. 12(1). 5214–5214. 22 indexed citations
18.
Rashmi, Ramachandran, Xiaojing Huang, John M. Floberg, et al.. (2018). Radioresistant Cervical Cancers Are Sensitive to Inhibition of Glycolysis and Redox Metabolism. Cancer Research. 78(6). 1392–1403. 68 indexed citations
19.
Castro, G., G. Torrisi, L. Celona, et al.. (2016). A new H2+ source: Conceptual study and experimental test of an upgraded version of the VIS—Versatile ion source. Review of Scientific Instruments. 87(8). 83303–83303. 11 indexed citations
20.
Dougherty, Joseph D., Susan E. Maloney, David F. Wozniak, et al.. (2013). The Disruption ofCelf6, a Gene Identified by Translational Profiling of Serotonergic Neurons, Results in Autism-Related Behaviors. Journal of Neuroscience. 33(7). 2732–2753. 70 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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