Olga Ilkayeva

34.9k total citations · 6 hit papers
208 papers, 19.4k citations indexed

About

Olga Ilkayeva is a scholar working on Molecular Biology, Physiology and Epidemiology. According to data from OpenAlex, Olga Ilkayeva has authored 208 papers receiving a total of 19.4k indexed citations (citations by other indexed papers that have themselves been cited), including 133 papers in Molecular Biology, 99 papers in Physiology and 33 papers in Epidemiology. Recurrent topics in Olga Ilkayeva's work include Adipose Tissue and Metabolism (67 papers), Metabolomics and Mass Spectrometry Studies (52 papers) and Diet and metabolism studies (47 papers). Olga Ilkayeva is often cited by papers focused on Adipose Tissue and Metabolism (67 papers), Metabolomics and Mass Spectrometry Studies (52 papers) and Diet and metabolism studies (47 papers). Olga Ilkayeva collaborates with scholars based in United States, Canada and Australia. Olga Ilkayeva's co-authors include Christopher B. Newgard, James R. Bain, Deborah M. Muoio, Robert D. Stevens, Timothy R. Koves, Michael J. Muehlbauer, Brett R. Wenner, Robert Stevens, Robert C. Noland and Svati H. Shah and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Olga Ilkayeva

201 papers receiving 19.2k citations

Hit Papers

align trajectories sort by overperformance

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.

A Branched-Chain Amino Acid-Related Metabolic Signature that Differentiates Obese and Lean Humans and Contributes to Insulin Resistance

2009 2.4k citations Christopher B. Newgard, Jie An et al. profile →
Mitochondrial Overload and Incomplete Fatty Acid Oxidation Contribute to Skeletal Muscle Insulin Resistance

2008 1.6k citations Timothy R. Koves, Robert C. Noland et al. profile →
SIRT3 regulates mitochondrial fatty-acid oxidation by reversible enzyme deacetylation

2010 1.4k citations Matthew D. Hirschey, Olga Ilkayeva et al. profile →
Circadian Clock NAD ⁺ Cycle Drives Mitochondrial Oxidative Metabolism in Mice

2013 507 citations Clara Bien Peek, Kathryn Moynihan Ramsey et al. profile →
N6 -Methyladenosine in Flaviviridae Viral RNA Genomes Regulates Infection

2016 372 citations Olga Ilkayeva et al. profile →
Macrophage Metabolism of Apoptotic Cell-Derived Arginine Promotes Continual Efferocytosis and Resolution of Injury

2020 321 citations Olga Ilkayeva, Deborah M. Muoio et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Olga Ilkayeva United States	70	11.0k	8.4k	3.6k	1.9k	1.8k	208	19.4k
Deborah M. Muoio United States	65	8.9k 0.8×	8.2k 1.0×	2.6k 0.7×	1.6k 0.9×	1.7k 0.9×	133	16.1k
James R. Bain United States	59	8.9k 0.8×	6.9k 0.8×	2.7k 0.8×	1.3k 0.7×	2.6k 1.4×	211	16.9k
Jason R.B. Dyck Canada	81	10.4k 0.9×	6.3k 0.7×	2.7k 0.8×	2.5k 1.3×	3.2k 1.8×	298	21.3k
Sander M. Houten Netherlands	57	7.5k 0.7×	4.4k 0.5×	2.9k 0.8×	1.3k 0.7×	2.6k 1.4×	157	14.0k
Hubert Vidal France	87	11.4k 1.0×	10.5k 1.3×	6.2k 1.7×	3.0k 1.6×	2.6k 1.4×	346	25.3k
Brian N. Finck United States	64	8.8k 0.8×	5.7k 0.7×	4.0k 1.1×	1.9k 1.0×	2.2k 1.2×	191	17.9k
Marc K. Hellerstein United States	73	5.3k 0.5×	5.9k 0.7×	3.8k 1.0×	3.2k 1.7×	2.4k 1.3×	297	19.1k
Sander Kersten Netherlands	86	11.6k 1.1×	8.5k 1.0×	6.1k 1.7×	3.9k 2.1×	2.6k 1.4×	228	25.3k
Gregory R. Steinberg Canada	78	12.3k 1.1×	8.8k 1.0×	6.2k 1.7×	3.3k 1.8×	4.7k 2.6×	246	23.5k
Francesc Villarroya Spain	64	6.2k 0.6×	8.2k 1.0×	4.6k 1.3×	900 0.5×	1.1k 0.6×	308	15.3k

Countries citing papers authored by Olga Ilkayeva

Since Specialization

Citations

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

Fields of papers citing papers by Olga Ilkayeva

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Olga Ilkayeva

This figure shows the co-authorship network connecting the top 25 collaborators of Olga Ilkayeva. A scholar is included among the top collaborators of Olga Ilkayeva 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 Olga Ilkayeva. Olga Ilkayeva 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

Summer, Ross, Jamie L. Todd, Megan L. Neely, et al.. (2024). Circulating metabolic profile in idiopathic pulmonary fibrosis: data from the IPF-PRO Registry. Respiratory Research. 25(1). 58–58. 15 indexed citations

Ilkayeva, Olga, Jeffrey I. Everitt, James V. Alvarez, et al.. (2024). Optical imaging reveals chemotherapy-induced metabolic reprogramming of residual disease and recurrence. Science Advances. 10(14). eadj7540–eadj7540. 5 indexed citations

Regan, Jessica A., Robert J. Mentz, Jennifer B. Green, et al.. (2023). Mitochondrial metabolites predict adverse cardiovascular events in individuals with diabetes. JCI Insight. 8(17). 9 indexed citations

Bhatt, Dhaval P., Christine A. Mills, Kristin A. Anderson, et al.. (2022). Deglutarylation of glutaryl-CoA dehydrogenase by deacylating enzyme SIRT5 promotes lysine oxidation in mice. Journal of Biological Chemistry. 298(4). 101723–101723. 13 indexed citations

Levine, Daniel C., Hee‐Kyung Hong, Jonathan Cedernaes, et al.. (2021). NADH inhibition of SIRT1 links energy state to transcription during time-restricted feeding. Nature Metabolism. 3(12). 1621–1632. 50 indexed citations

Lunyera, Joseph, Clarissa J. Diamantidis, Hayden B. Bosworth, et al.. (2021). Urine tricarboxylic acid cycle signatures of early-stage diabetic kidney disease. Metabolomics. 18(1). 5–5. 14 indexed citations

Lee, Jennifer, Archana Vijayakumar, Phillip J. White, et al.. (2021). BCAA Supplementation in Mice with Diet-induced Obesity Alters the Metabolome Without Impairing Glucose Homeostasis. Endocrinology. 162(7). 39 indexed citations

Fan, Liyan, David R. Sweet, Domenick A. Prosdocimo, et al.. (2021). Muscle Krüppel-like factor 15 regulates lipid flux and systemic metabolic homeostasis. Journal of Clinical Investigation. 131(4). 20 indexed citations

Ma, Yifei, Rebecca Scherzer, Olga Ilkayeva, et al.. (2021). Transmethylamine‐N‐Oxide Is Associated With Diffuse Cardiac Fibrosis in People Living With HIV. Journal of the American Heart Association. 10(16). e020499–e020499. 13 indexed citations

10.

Liu, Yu, Alan Kuang, Octavious Talbot, et al.. (2020). Metabolomic and genetic associations with insulin resistance in pregnancy. Diabetologia. 63(9). 1783–1795. 32 indexed citations

11.

Becuwe, Michel, Laura M. Bond, Antônio F. M. Pinto, et al.. (2020). FIT2 is an acyl–coenzyme A diphosphatase crucial for endoplasmic reticulum homeostasis. The Journal of Cell Biology. 219(10). 39 indexed citations

12.

Kadakia, Rachel, Octavious Talbot, Alan Kuang, et al.. (2019). Cord Blood Metabolomics: Association With Newborn Anthropometrics and C-Peptide Across Ancestries. The Journal of Clinical Endocrinology & Metabolism. 104(10). 4459–4472. 34 indexed citations

13.

Lowe, William L., James R. Bain, Michael Nodzenski, et al.. (2017). Maternal BMI and Glycemia Impact the Fetal Metabolome. Diabetes Care. 40(7). 902–910. 83 indexed citations

14.

Fee, Brian E., Stanley C. Henry, Amanda Nichols, et al.. (2017). Metabolic Alterations Contribute to Enhanced Inflammatory Cytokine Production in Irgm1-deficient Macrophages. Journal of Biological Chemistry. 292(11). 4651–4662. 21 indexed citations

15.

Sommer, Felix, Marcus Ståhlman, Olga Ilkayeva, et al.. (2016). The Gut Microbiota Modulates Energy Metabolism in the Hibernating Brown Bear Ursus arctos. Cell Reports. 14(7). 1655–1661. 254 indexed citations

16.

Seiler, Sarah E., Ola J. Martin, Robert C. Noland, et al.. (2014). Obesity and lipid stress inhibit carnitine acetyltransferase activity. Journal of Lipid Research. 55(4). 635–644. 84 indexed citations

17.

Michalek, Ryan D., Valerie A. Gerriets, Amanda Nichols, et al.. (2011). Estrogen-related receptor-α is a metabolic regulator of effector T-cell activation and differentiation. Proceedings of the National Academy of Sciences. 108(45). 18348–18353. 169 indexed citations

18.

Wang, May-Yun, Lijun Chen, Gregory O. Clark, et al.. (2010). Leptin therapy in insulin-deficient type I diabetes. Proceedings of the National Academy of Sciences. 107(11). 4813–4819. 262 indexed citations

19.

Tai, E Shyong, M. L. Tan, Robert Stevens, et al.. (2010). Insulin resistance is associated with a metabolic profile of altered protein metabolism in Chinese and Asian-Indian men. Diabetologia. 53(4). 757–767. 383 indexed citations

20.

Makowski, Liza, Robert C. Noland, Timothy R. Koves, et al.. (2008). Metabolic profiling of PPARα ^−/− mice reveals defects in carnitine and amino acid homeostasis that are partially reversed by oral carnitine supplementation. The FASEB Journal. 23(2). 586–604. 93 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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