Yana Sandlers

802 total citations
26 papers, 621 citations indexed

About

Yana Sandlers is a scholar working on Molecular Biology, Clinical Biochemistry and Physiology. According to data from OpenAlex, Yana Sandlers has authored 26 papers receiving a total of 621 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 8 papers in Clinical Biochemistry and 8 papers in Physiology. Recurrent topics in Yana Sandlers's work include Mitochondrial Function and Pathology (9 papers), Metabolomics and Mass Spectrometry Studies (8 papers) and Metabolism and Genetic Disorders (8 papers). Yana Sandlers is often cited by papers focused on Mitochondrial Function and Pathology (9 papers), Metabolomics and Mass Spectrometry Studies (8 papers) and Metabolism and Genetic Disorders (8 papers). Yana Sandlers collaborates with scholars based in United States, Israel and Russia. Yana Sandlers's co-authors include Chagit Denekamp, Srinivasan Dasarathy, Avinash Kumar, Charles L. Hoppel, Gangarao Davuluri, Hilary J. Vernon, Chris A. Flask, Samjhana Thapaliya, Takhar Kasumov and Julie H. Rennison and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Angewandte Chemie International Edition and Blood.

In The Last Decade

Yana Sandlers

26 papers receiving 614 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yana Sandlers United States 15 315 225 97 95 76 26 621
Teresa C. Delgado Spain 16 346 1.1× 226 1.0× 258 2.7× 66 0.7× 21 0.3× 41 867
Haiping Wang China 11 292 0.9× 82 0.4× 82 0.8× 70 0.7× 17 0.2× 26 643
Sara Boenzi Italy 20 539 1.7× 263 1.2× 67 0.7× 524 5.5× 42 0.6× 43 1.0k
Jordi Asin-Cayuela Sweden 8 835 2.7× 233 1.0× 53 0.5× 164 1.7× 41 0.5× 8 1.0k
Hubertus C.M.T. Prinsen Netherlands 15 371 1.2× 117 0.5× 49 0.5× 217 2.3× 13 0.2× 25 638
Franco Zanotti Italy 17 584 1.9× 139 0.6× 59 0.6× 72 0.8× 13 0.2× 45 754
Kenneth R. Pryde United Kingdom 7 576 1.8× 144 0.6× 124 1.3× 63 0.7× 13 0.2× 9 777
Zhentai Huang United States 15 495 1.6× 113 0.5× 72 0.7× 50 0.5× 16 0.2× 21 760
Ashlee N. Higdon United States 10 531 1.7× 131 0.6× 74 0.8× 41 0.4× 55 0.7× 12 796
Paul Wilson United States 13 491 1.6× 97 0.4× 55 0.6× 28 0.3× 34 0.4× 18 1.0k

Countries citing papers authored by Yana Sandlers

Since Specialization
Citations

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

Fields of papers citing papers by Yana Sandlers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yana Sandlers

This figure shows the co-authorship network connecting the top 25 collaborators of Yana Sandlers. A scholar is included among the top collaborators of Yana Sandlers 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 Yana Sandlers. Yana Sandlers 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.
Velingkaar, Nikkhil, Jonathan B. Fritz, K. Williams, et al.. (2025). Circadian clocks and periodic anticipated fasting prevent fasting-associated hepatic steatosis in calorie restriction. Cell Reports. 44(8). 116141–116141. 2 indexed citations
3.
Velingkaar, Nikkhil, et al.. (2022). Circadian clock controls rhythms in ketogenesis by interfering with PPARα transcriptional network. Proceedings of the National Academy of Sciences. 119(40). 29 indexed citations
4.
Sandlers, Yana, et al.. (2022). No Cardiomyopathy or Skeletal Muscle Weakness in an Organismal Model of Barth Syndrome - Is Metabolism the Basis for Its Neutropenia?. Blood. 140(Supplement 1). 5472–5472. 1 indexed citations
5.
Sandlers, Yana, et al.. (2021). A liquid chromatography tandem mass spectrometry method for a semiquantitative screening of cellular acyl-CoA. Analytical Biochemistry. 640. 114430–114430. 3 indexed citations
6.
Velingkaar, Nikkhil, et al.. (2020). CR reprograms acetyl‐CoA metabolism and induces long‐chain acyl‐CoA dehydrogenase and CrAT expression. Aging Cell. 19(11). e13266–e13266. 28 indexed citations
7.
Kumar, Avinash, Gangarao Davuluri, Nicole Welch, et al.. (2019). Oxidative stress mediates ethanol-induced skeletal muscle mitochondrial dysfunction and dysregulated protein synthesis and autophagy. Free Radical Biology and Medicine. 145. 284–299. 82 indexed citations
8.
Shah, Rohan, et al.. (2019). A protocol for metabolic characterization of human induced pluripotent stem cell-derived cardiomyocytes (iPS-CM). MethodsX. 7. 100572–100572. 4 indexed citations
9.
Shah, Rohan, et al.. (2019). Barth Syndrome: Exploring Cardiac Metabolism with Induced Pluripotent Stem Cell-Derived Cardiomyocytes. Metabolites. 9(12). 306–306. 17 indexed citations
10.
Sandlers, Yana. (2017). The future perspective: metabolomics in laboratory medicine for inborn errors of metabolism. Translational research. 189. 65–75. 29 indexed citations
11.
Sanabria, Juan, Guofang Zhang, Yana Sandlers, et al.. (2016). Glutathione species and metabolomic prints in subjects with liver disease as biological markers for the detection of hepatocellular carcinoma. HPB. 18(12). 979–990. 9 indexed citations
12.
Sandlers, Yana, Kelly Mercier, Wimal Pathmasiri, et al.. (2016). Metabolomics Reveals New Mechanisms for Pathogenesis in Barth Syndrome and Introduces Novel Roles for Cardiolipin in Cellular Function. PLoS ONE. 11(3). e0151802–e0151802. 32 indexed citations
13.
Vernon, Hilary J., Yana Sandlers, Rebecca McClellan, & Richard I. Kelley. (2014). Clinical laboratory studies in Barth Syndrome. Molecular Genetics and Metabolism. 112(2). 143–147. 35 indexed citations
14.
Ibarra, R, et al.. (2014). Metabolomic Analysis of Liver Tissue from the VX2 Rabbit Model of Secondary Liver Tumors. HPB Surgery. 2014. 1–12. 9 indexed citations
15.
Dazard, Jean‐Eudes, et al.. (2014). Metabolomics of ApcMin/+ mice genetically susceptible to intestinal cancer. BMC Systems Biology. 8(1). 72–72. 18 indexed citations
16.
Bederman, Ilya, et al.. (2012). Time course of hepatic gluconeogenesis during hindlimb suspension unloading. Experimental Physiology. 98(1). 278–289. 10 indexed citations
17.
Sandlers, Yana, Ann B. Moser, Walter C. Hubbard, et al.. (2011). Combined extraction of acyl carnitines and 26:0 lysophosphatidylcholine from dried blood spots: Prospective newborn screening for X-linked adrenoleukodystrophy. Molecular Genetics and Metabolism. 105(3). 416–420. 32 indexed citations
18.
DeBarber, Andrea E., Yana Sandlers, Anuradha S. Pappu, et al.. (2010). Profiling sterols in cerebrotendinous xanthomatosis: Utility of Girard derivatization and high resolution exact mass LC–ESI-MSn analysis. Journal of Chromatography B. 879(17-18). 1384–1392. 33 indexed citations
19.
Denekamp, Chagit & Yana Sandlers. (2006). Electrophilicity–Nucleophilicity Scale Also in the Gas Phase. Angewandte Chemie International Edition. 45(13). 2093–2096. 17 indexed citations
20.
Denekamp, Chagit & Yana Sandlers. (2005). Anomeric distinction and oxonium ion formation in acetylated glycosides. Journal of Mass Spectrometry. 40(6). 765–771. 29 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026