Jay M. Sage

1.0k total citations
11 papers, 359 citations indexed

About

Jay M. Sage is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Clinical Biochemistry. According to data from OpenAlex, Jay M. Sage has authored 11 papers receiving a total of 359 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 2 papers in Cellular and Molecular Neuroscience and 2 papers in Clinical Biochemistry. Recurrent topics in Jay M. Sage's work include DNA Repair Mechanisms (5 papers), Mitochondrial Function and Pathology (4 papers) and Bacterial Genetics and Biotechnology (2 papers). Jay M. Sage is often cited by papers focused on DNA Repair Mechanisms (5 papers), Mitochondrial Function and Pathology (4 papers) and Bacterial Genetics and Biotechnology (2 papers). Jay M. Sage collaborates with scholars based in United States, United Kingdom and Italy. Jay M. Sage's co-authors include Kendall L. Knight, Otto S. Gildemeister, Anthony Carruthers, Ewan C. McNay, Jiah Pearson-Leary, Anthony J. Cura, Jon M. Kaguni, Giovanna Battelli, Jennifer R. Davis and Michael D. Kaiser and has published in prestigious journals such as Journal of Biological Chemistry, Applied and Environmental Microbiology and American Journal of Physiology-Cell Physiology.

In The Last Decade

Jay M. Sage

11 papers receiving 356 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jay M. Sage United States 8 240 63 33 33 31 11 359
José L. Guevara United States 6 329 1.4× 55 0.9× 27 0.8× 42 1.3× 90 2.9× 7 571
Anna Anvret Sweden 11 156 0.7× 73 1.2× 24 0.7× 17 0.5× 90 2.9× 15 353
Raluca Rusovici United States 9 304 1.3× 29 0.5× 24 0.7× 11 0.3× 16 0.5× 9 498
Yuta Ohno Japan 13 224 0.9× 60 1.0× 64 1.9× 9 0.3× 49 1.6× 39 480
Sarah Vose United States 10 212 0.9× 104 1.7× 30 0.9× 56 1.7× 25 0.8× 10 410
Nadja Patenge Germany 6 278 1.2× 71 1.1× 26 0.8× 19 0.6× 87 2.8× 6 501
Dandan Shan China 10 213 0.9× 61 1.0× 14 0.4× 23 0.7× 22 0.7× 15 343
Masabumi Funakoshi Japan 6 195 0.8× 97 1.5× 14 0.4× 12 0.4× 49 1.6× 8 362
Mohammed Naeemuddin United States 5 169 0.7× 48 0.8× 12 0.4× 17 0.5× 27 0.9× 5 266

Countries citing papers authored by Jay M. Sage

Since Specialization
Citations

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

Fields of papers citing papers by Jay M. Sage

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jay M. Sage. 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 Jay M. Sage. The network helps show where Jay M. Sage may publish in the future.

Co-authorship network of co-authors of Jay M. Sage

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

All Works

11 of 11 papers shown
1.
Weigand, Michael R., Natalie Ring, Iain MacArthur, et al.. (2022). Towards comprehensive understanding of bacterial genetic diversity: large-scale amplifications in Bordetella pertussis and Mycobacterium tuberculosis. Microbial Genomics. 8(2). 4 indexed citations
2.
Passera, Alessandro, Marzia Rossato, John S. Oliver, et al.. (2020). Characterization of Lysinibacillus fusiformis strain S4C11: In vitro, in planta, and in silico analyses reveal a plant-beneficial microbe. Microbiological Research. 244. 126665–126665. 34 indexed citations
3.
Pearson-Leary, Jiah, et al.. (2017). Insulin modulates hippocampally-mediated spatial working memory via glucose transporter-4. Behavioural Brain Research. 338. 32–39. 76 indexed citations
4.
Felczak, Magdalena M., Jay M. Sage, Katarzyna Hupert-Kocurek, Senem Aykul, & Jon M. Kaguni. (2016). Substitutions of Conserved Residues in the C-terminal Region of DnaC Cause Thermolability in Helicase Loading. Journal of Biological Chemistry. 291(9). 4803–4812. 4 indexed citations
5.
Sage, Jay M., et al.. (2015). Caffeine inhibits glucose transport by binding at the GLUT1 nucleotide-binding site. American Journal of Physiology-Cell Physiology. 308(10). C827–C834. 26 indexed citations
6.
Sage, Jay M. & Anthony Carruthers. (2014). Human erythrocytes transport dehydroascorbic acid and sugars using the same transporter complex. American Journal of Physiology-Cell Physiology. 306(10). C910–C917. 31 indexed citations
7.
Sage, Jay M. & Kendall L. Knight. (2013). Human Rad51 promotes mitochondrial DNA synthesis under conditions of increased replication stress. Mitochondrion. 13(4). 350–356. 23 indexed citations
8.
Sage, Jay M., Otto S. Gildemeister, & Kendall L. Knight. (2011). Discovery of a novel function for human Rad51: Maintenance of the mitochondrial genome. Mitochondrion. 11(4). 676–676. 2 indexed citations
9.
Sage, Jay M., Otto S. Gildemeister, & Kendall L. Knight. (2010). Discovery of a Novel Function for Human Rad51. Journal of Biological Chemistry. 285(25). 18984–18990. 80 indexed citations
10.
Gildemeister, Otto S., Jay M. Sage, & Kendall L. Knight. (2009). Cellular Redistribution of Rad51 in Response to DNA Damage. Journal of Biological Chemistry. 284(46). 31945–31952. 71 indexed citations
11.
Hupert-Kocurek, Katarzyna, Jay M. Sage, M. Makowska-Grzyska, & Jon M. Kaguni. (2007). Genetic Method To Analyze Essential Genes of Escherichia coli. Applied and Environmental Microbiology. 73(21). 7075–7082. 8 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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