Jamey D. Young

8.1k total citations
106 papers, 4.5k citations indexed

About

Jamey D. Young is a scholar working on Molecular Biology, Physiology and Epidemiology. According to data from OpenAlex, Jamey D. Young has authored 106 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 82 papers in Molecular Biology, 21 papers in Physiology and 18 papers in Epidemiology. Recurrent topics in Jamey D. Young's work include Metabolomics and Mass Spectrometry Studies (34 papers), Microbial Metabolic Engineering and Bioproduction (30 papers) and Liver Disease Diagnosis and Treatment (17 papers). Jamey D. Young is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (34 papers), Microbial Metabolic Engineering and Bioproduction (30 papers) and Liver Disease Diagnosis and Treatment (17 papers). Jamey D. Young collaborates with scholars based in United States, France and Japan. Jamey D. Young's co-authors include Robert A. Egnatchik, Alexandra K. Leamy, Doug K. Allen, Gregory Stephanopoulos, John A. Morgan, Masakazu Shiota, Neil Templeton, Irina Trenary, Fangfang Ma and Taylor A. Murphy and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Jamey D. Young

102 papers receiving 4.5k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jamey D. Young United States	36	3.3k	674	537	483	366	106	4.5k
Yan Dong China	38	2.3k 0.7×	341 0.5×	738 1.4×	152 0.3×	150 0.4×	157	4.9k
Xiaoyang Su United States	32	3.0k 0.9×	844 1.3×	758 1.4×	841 1.7×	179 0.5×	102	4.9k
Joanne K. Kelleher United States	31	3.7k 1.1×	293 0.4×	1.7k 3.1×	627 1.3×	444 1.2×	78	4.9k
Aviv Shaish Israel	39	1.6k 0.5×	789 1.2×	233 0.4×	364 0.8×	177 0.5×	121	4.5k
Sainan Li China	34	1.6k 0.5×	920 1.4×	582 1.1×	250 0.5×	126 0.3×	161	3.7k
Michihiro Mutoh Japan	33	2.2k 0.7×	405 0.6×	954 1.8×	274 0.6×	158 0.4×	168	4.8k
Maciek R. Antoniewicz United States	49	6.2k 1.9×	158 0.2×	803 1.5×	388 0.8×	334 0.9×	95	7.1k
Lie Li China	42	3.0k 0.9×	352 0.5×	188 0.4×	101 0.2×	197 0.5×	195	6.0k
Mineko Terao Italy	44	3.7k 1.1×	159 0.2×	392 0.7×	217 0.4×	190 0.5×	129	5.0k
José M. Villalba Spain	45	3.5k 1.0×	412 0.6×	218 0.4×	983 2.0×	630 1.7×	160	5.7k

Countries citing papers authored by Jamey D. Young

Since Specialization

Citations

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

Fields of papers citing papers by Jamey D. Young

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jamey D. Young. 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 Jamey D. Young. The network helps show where Jamey D. Young may publish in the future.

Co-authorship network of co-authors of Jamey D. Young

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

All Works

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20 of 20 papers shown

May, Jody C., et al.. (2025). A Fast-Pass, Desorption Electrospray Ionization Mass Spectrometry Strategy for Untargeted Metabolic Phenotyping. Journal of the American Society for Mass Spectrometry. 36(2). 400–408. 2 indexed citations

Kambhampati, Shrikaar, et al.. (2024). SIMPEL: using stable isotopes to elucidate dynamics of context specific metabolism. Communications Biology. 7(1). 172–172. 5 indexed citations

Hemnes, Anna R., Niki Fortune, Katherine Simon, et al.. (2024). A multimodal approach identifies lactate as a central feature of right ventricular failure that is detectable in human plasma. Frontiers in Medicine. 11. 1387195–1387195.

Oeser, James K., Kwang-Ho Kim, Derek P. Claxton, et al.. (2024). Biochemical and metabolic characterization of a G6PC2 inhibitor. Biochimie. 222. 109–122. 2 indexed citations

Olenchock, Benjamin A., David R. Ziehr, Kevin Leahy, et al.. (2023). MYC overrides HIF-1α to regulate proliferating primary cell metabolism in hypoxia. eLife. 12. 8 indexed citations

Trenary, Irina, et al.. (2023). Overexpression of peroxisome proliferator-activated receptor co-activator-1⍺ (PGC-1⍺) in Chinese hamster ovary cells increases oxidative metabolism and IgG productivity. Metabolic Engineering. 79. 108–117. 6 indexed citations

Kambhampati, Shrikaar, et al.. (2023). Program for Integration and Rapid Analysis of Mass Isotopomer Distributions (PIRAMID). Bioinformatics. 39(11). 8 indexed citations

Esquejo, Ryan M., Bina Albuquerque, Anna Sher, et al.. (2022). AMPK activation is sufficient to increase skeletal muscle glucose uptake and glycogen synthesis but is not required for contraction-mediated increases in glucose metabolism. Heliyon. 8(10). e11091–e11091. 9 indexed citations

Deja, Stanisław, Blanka Kucejová, Xiaorong Fu, et al.. (2021). In Vivo Estimation of Ketogenesis Using Metabolic Flux Analysis—Technical Aspects and Model Interpretation. Metabolites. 11(5). 279–279. 12 indexed citations

10.

Babele, Piyoosh Kumar, Jody C. May, Carl Hirschie Johnson, et al.. (2021). Accelerating strain phenotyping with desorption electrospray ionization-imaging mass spectrometry and untargeted analysis of intact microbial colonies. Proceedings of the National Academy of Sciences. 118(49). 9 indexed citations

11.

Wang, Bo, Yao Xu, Xin Wang, et al.. (2021). A guanidine-degrading enzyme controls genomic stability of ethylene-producing cyanobacteria. Nature Communications. 12(1). 5150–5150. 29 indexed citations

12.

Pannala, Venkat R., Shanea K. Estes, Irina Trenary, et al.. (2020). Toxicant-Induced Metabolic Alterations in Lipid and Amino Acid Pathways Are Predictive of Acute Liver Toxicity in Rats. International Journal of Molecular Sciences. 21(21). 8250–8250. 13 indexed citations

13.

Rahman, S.M. Jamshedur, Xiangming Ji, Lisa J. Zimmerman, et al.. (2016). The airway epithelium undergoes metabolic reprogramming in individuals at high risk for lung cancer. JCI Insight. 1(19). e88814–e88814. 28 indexed citations

14.

Young, Jamey D., et al.. (2015). Application of isotope labeling experiments and 13C flux analysis to enable rational pathway engineering. Current Opinion in Biotechnology. 36. 50–56. 31 indexed citations

15.

Pound, Lynley D., et al.. (2014). Novel Stable Isotope Analyses Demonstrate Significant Rates of Glucose Cycling in Mouse Pancreatic Islets. Diabetes. 64(6). 2129–2137. 23 indexed citations

16.

Young, Jamey D.. (2014). 13C metabolic flux analysis of recombinant expression hosts. Current Opinion in Biotechnology. 30. 238–245. 26 indexed citations

17.

Templeton, Neil, A.C. Lewis, Haimanti Dorai, et al.. (2014). The impact of anti-apoptotic gene Bcl-2∆ expression on CHO central metabolism. Metabolic Engineering. 25. 92–102. 45 indexed citations

18.

Young, Jamey D., et al.. (2011). Fluxomers: a new approach for 13C metabolic flux analysis. BMC Systems Biology. 5(1). 129–129. 37 indexed citations

19.

Noguchi, Yasushi, Jamey D. Young, José O. Alemán, et al.. (2011). Tracking cellular metabolomics in lipoapoptosis- and steatosis-developing liver cells. Molecular BioSystems. 7(5). 1409–1419. 9 indexed citations

20.

Young, Jamey D., et al.. (2011). Mapping photoautotrophic metabolism with isotopically nonstationary 13C flux analysis. Metabolic Engineering. 13(6). 656–665. 287 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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