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

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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 Olga Ilkayeva, James R. Bain 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 Scott B. Crown, Olga Ilkayeva et al. profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Olga Ilkayeva	11.0k	8.4k	3.6k	1.9k	1.8k	208	19.4k
Deborah M. Muoio	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	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	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	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	11.4k 1.0×	10.5k 1.3×	6.2k 1.7×	3.0k 1.6×	2.6k 1.4×	346	25.3k
Marc K. Hellerstein	5.3k 0.5×	5.9k 0.7×	3.8k 1.0×	3.2k 1.7×	2.4k 1.3×	297	19.1k
Brian N. Finck	8.8k 0.8×	5.7k 0.7×	4.0k 1.1×	1.9k 1.0×	2.2k 1.2×	191	17.9k
Sander Kersten	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	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	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

Fee, Brian E., Lanette Fee, Yazan Alwarawrah, et al.. (2024). Type I interferon signaling and peroxisomal dysfunction contribute to enhanced inflammatory cytokine production in IRGM1-deficient macrophages. Journal of Biological Chemistry. 300(11). 107883–107883.

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

Osazuwa‐Peters, Oyomoare L., April Deveaux, Michael J. Muehlbauer, et al.. (2024). Racial Differences in Vaginal Fluid Metabolites and Association with Systemic Inflammation Markers among Ovarian Cancer Patients: A Pilot Study. Cancers. 16(7). 1259–1259. 4 indexed citations

Rowland, Leslie A., Adı́lson Guilherme, Felipe Henriques, et al.. (2023). De novo lipogenesis fuels adipocyte autophagosome and lysosome membrane dynamics. Nature Communications. 14(1). 1362–1362. 28 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

Hernández‐Saavedra, Diego, Christina A. Markunas, Hirokazu Takahashi, et al.. (2022). Maternal Exercise and Paternal Exercise Induce Distinct Metabolite Signatures in Offspring Tissues. Diabetes. 71(10). 2094–2105. 10 indexed citations

Wagner, Gregory R., Kristin A. Anderson, Scott B. Crown, et al.. (2022). Statin therapy inhibits fatty acid synthase via dynamic protein modifications. Nature Communications. 13(1). 2542–2542. 18 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

10.

Liu, Yu, Alan Kuang, James R. Bain, et al.. (2021). Maternal Metabolites Associated With Gestational Diabetes Mellitus and a Postpartum Disorder of Glucose Metabolism. The Journal of Clinical Endocrinology & Metabolism. 106(11). 3283–3294. 17 indexed citations

11.

Chang, Hao-Wei, Nathan P. McNulty, Martin L. Hibberd, et al.. (2021). Gut microbiome contributions to altered metabolism in a pig model of undernutrition. Proceedings of the National Academy of Sciences. 118(21). 18 indexed citations

12.

Hershberger, Kathleen A., John P. Rooney, Rakesh Bodhicharla, et al.. (2021). Early-life mitochondrial DNA damage results in lifelong deficits in energy production mediated by redox signaling in Caenorhabditis elegans. Redox Biology. 43. 102000–102000. 17 indexed citations

13.

Choi, Béatrice S.-Y., Noëmie Daniel, Vanessa P. Houde, et al.. (2021). Feeding diversified protein sources exacerbates hepatic insulin resistance via increased gut microbial branched-chain fatty acids and mTORC1 signaling in obese mice. Nature Communications. 12(1). 3377–3377. 78 indexed citations

14.

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

15.

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

16.

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

17.

White, Phillip J., Amanda L. Lapworth, Jie An, et al.. (2016). Branched-chain amino acid restriction in Zucker-fatty rats improves muscle insulin sensitivity by enhancing efficiency of fatty acid oxidation and acyl-glycine export. Molecular Metabolism. 5(7). 538–551. 202 indexed citations

18.

Burkewitz, Kristopher, Ianessa Morantte, Heather J. Weir, et al.. (2015). Neuronal CRTC-1 Governs Systemic Mitochondrial Metabolism and Lifespan via a Catecholamine Signal. Cell. 160(5). 842–855. 139 indexed citations

19.

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

20.

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

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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