Jason Singer

596 total citations
19 papers, 408 citations indexed

About

Jason Singer is a scholar working on Molecular Biology, Physiology and Genetics. According to data from OpenAlex, Jason Singer has authored 19 papers receiving a total of 408 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 5 papers in Physiology and 5 papers in Genetics. Recurrent topics in Jason Singer's work include Blood disorders and treatments (4 papers), Lipid metabolism and biosynthesis (3 papers) and Metabolism and Genetic Disorders (2 papers). Jason Singer is often cited by papers focused on Blood disorders and treatments (4 papers), Lipid metabolism and biosynthesis (3 papers) and Metabolism and Genetic Disorders (2 papers). Jason Singer collaborates with scholars based in United States, France and Switzerland. Jason Singer's co-authors include Janet M. Shaw, Sabeeha Merchant, Kent L. Hill, Greg J. Hermann, Brian G. Oliver, Giuseppa Pennetta, Daniel Pauli, Sahar Kohanim, Haijing Li and Bruce H. Morimoto 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

Jason Singer

18 papers receiving 401 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jason Singer United States 11 271 67 52 47 42 19 408
Hannah Williams United Kingdom 14 529 2.0× 79 1.2× 72 1.4× 44 0.9× 19 0.5× 15 702
Thodoris G. Petrakis United Kingdom 8 405 1.5× 75 1.1× 33 0.6× 24 0.5× 26 0.6× 9 473
SE Hilary Russell United Kingdom 7 468 1.7× 57 0.9× 52 1.0× 163 3.5× 58 1.4× 7 617
Zhihao Ding China 14 412 1.5× 129 1.9× 79 1.5× 47 1.0× 17 0.4× 32 631
Cecília Pessoa Rodrigues Brazil 13 596 2.2× 42 0.6× 32 0.6× 35 0.7× 18 0.4× 19 812
Marcus M. Nalaskowski Germany 14 495 1.8× 50 0.7× 43 0.8× 170 3.6× 23 0.5× 25 634
Jean‐Charles Cadoret France 14 729 2.7× 58 0.9× 87 1.7× 48 1.0× 13 0.3× 21 801
Angelika Freilinger Austria 13 449 1.7× 49 0.7× 32 0.6× 68 1.4× 23 0.5× 21 602
Verónica I. Dumit Germany 12 244 0.9× 46 0.7× 21 0.4× 42 0.9× 16 0.4× 28 439
David López Martínez United Kingdom 10 619 2.3× 93 1.4× 80 1.5× 68 1.4× 14 0.3× 17 764

Countries citing papers authored by Jason Singer

Since Specialization
Citations

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

Fields of papers citing papers by Jason Singer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jason Singer

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

All Works

19 of 19 papers shown
1.
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).
2.
Deja, Stanisław, Daniel Ferguson, Kevin Cho, et al.. (2023). Effects of hepatic mitochondrial pyruvate carrier deficiency on de novo lipogenesis and gluconeogenesis in mice. iScience. 26(11). 108196–108196. 7 indexed citations
3.
Ferguson, Daniel, Kevin Cho, Sandip Mukherjee, et al.. (2023). 1575-P: Glycerol Metabolism and Gluconeogenesis in Mice Lacking the Mitochondrial Pyruvate Carrier in Hepatocytes. Diabetes. 72(Supplement_1). 1 indexed citations
4.
Singer, Jason, Trevor M. Shew, Daniel Ferguson, et al.. (2022). Monoacylglycerol O‐acyltransferase 1 lowers adipocyte differentiation capacity in vitro but does not affect adiposity in mice. Obesity. 30(11). 2122–2133. 6 indexed citations
5.
Martino, Michael R., Manuel Gutiérrez‐Aguilar, Jason Singer, et al.. (2022). Silencing alanine transaminase 2 in diabetic liver attenuates hyperglycemia by reducing gluconeogenesis from amino acids. Cell Reports. 39(4). 110733–110733. 27 indexed citations
6.
Singer, Jason, Trevor M. Shew, Michael R. Martino, et al.. (2021). Multiple antisense oligonucleotides targeted against monoacylglycerol acyltransferase 1 (Mogat1) improve glucose metabolism independently of Mogat1. Molecular Metabolism. 49. 101204–101204. 10 indexed citations
7.
8.
Singer, Jason, Diana Bareyan, Christopher M. Tracy, et al.. (2017). GFI1 functions in transcriptional control and cell fate determination require SNAG domain methylation to recruit LSD1. Biochemical Journal. 474(17). 2951–2951. 10 indexed citations
9.
Andrade, Daniel, Jason Singer, Luke Maese, et al.. (2016). SUMOylation Regulates Growth Factor Independence 1 in Transcriptional Control and Hematopoiesis. Molecular and Cellular Biology. 36(10). 1438–1450. 15 indexed citations
10.
Singer, Jason, et al.. (2016). A Comprehensive Review of Sex Disparities in Symptoms, Pathophysiology, and Epidemiology of Dry Eye Syndrome. Seminars in Ophthalmology. 31(4). 325–336. 35 indexed citations
11.
Ban, Kiwon, B.M. Wile, Kyu-Won Cho, et al.. (2015). Non-genetic Purification of Ventricular Cardiomyocytes from Differentiating Embryonic Stem Cells through Molecular Beacons Targeting IRX-4. Stem Cell Reports. 5(6). 1239–1249. 15 indexed citations
12.
Singer, Jason, Emily R. Theisen, James Fulcher, et al.. (2015). GFI1 Snag Domain Methylation Directs LSD1 Recruitment to Control Transcription and Cell Fate Determination in Hematopoiesis. Blood. 126(23). 46–46. 1 indexed citations
13.
Maxwell, Joshua T., Inthirai Somasuntharam, Warren D. Gray, et al.. (2015). Bioactive Nanoparticles Improve Calcium Handling in Failing Cardiac Myocytes. Nanomedicine. 10(22). 3343–3357. 11 indexed citations
14.
Li, Yang, et al.. (2012). The Innovative Success that is Apple, Inc.. 5 indexed citations
15.
Singer, Jason & Janet M. Shaw. (2003). Mdm20 protein functions with Nat3 protein to acetylate Tpm1 protein and regulate tropomyosin–actin interactions in budding yeast. Proceedings of the National Academy of Sciences. 100(13). 7644–7649. 83 indexed citations
16.
Singer, Jason, Greg J. Hermann, & Janet M. Shaw. (2000). Suppressors of mdm20 in Yeast Identify New Alleles of ACT1 and TPM1 Predicted to Enhance Actin-Tropomyosin Interactions. Genetics. 156(2). 523–534. 28 indexed citations
17.
Oliver, Brian G., et al.. (1994). Function of Drosophila ovo+ in germ-line sex determination depends on X-chromosome number. Development. 120(11). 3185–3195. 42 indexed citations
18.
Quinn, Jeanette M., Haijing Li, Jason Singer, et al.. (1993). The plastocyanin-deficient phenotype of Chlamydomonas reinhardtii Ac-208 results from a frame-shift mutation in the nuclear gene encoding preapoplastocyanin.. Journal of Biological Chemistry. 268(11). 7832–7841. 34 indexed citations
19.

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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