Jay M. Sage
Impact in
- Clinical Biochemistry top 10%
- Metabolism and Genetic Disorders
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- DNA Repair Mechanisms
- Mitochondrial Function and Pathology
- Metabolism, Diabetes, and Cancer
- ATP Synthase and ATPases Research
Papers in
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- DNA Repair Mechanisms 5
- Mitochondrial Function and Pathology 4
- Genomics and Phylogenetic Studies 2
- Plant tissue culture and regeneration 1
- Co-authors
- Kendall L. Knight (4 shared papers)Otto S. Gildemeister (3 shared papers)Anthony Carruthers (2 shared papers)Jiah Pearson-Leary (1 shared paper)Ewan C. McNay (1 shared paper)Anthony J. Cura (1 shared paper)Michael D. Kaiser (3 shared papers)Jennifer R. Davis (3 shared papers)
- Journals
- Journal of Biological Chemistry (3 papers)Mitochondrion (2 papers)American Journal of Physiology-Cell Physiology (2 papers)Journal of Biomolecular Techniques JBT (1 paper)Microbiological Research (1 paper)
- Partner nations
- United StatesItalyUnited Kingdom
In The Last Decade
Jay M. Sage
12 papers receiving 378 citations
Peers
Comparison fields: 5 of 74
- Clinical Biochemistry 37
- Molecular Biology 243
- Physiology 56
- Cancer Research 30
- Endocrine and Autonomic Systems 13
Countries citing papers authored by Jay M. Sage
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
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-authors
The 25 scholars most cited alongside Jay M. Sage, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 86 | |
| 2 | 2017 | 80 | |
| 3 | 2009 | 73 | |
| 4 | 2020 | 36 | |
| 5 | 2014 | 31 | |
| 6 | 2015 | 28 | |
| 7 | 2013 | 24 | |
| 8 | 2007 | 9 | |
| 9 | 2022 | 4 | |
| 10 | 2016 | 4 | |
| 11 | 2011 | 4 | |
| 12 | Analysis of Complex Microbial Samples Using High Definition Mapping | 2019 | 1 |
About Jay M. Sage
Jay M. Sage is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Clinical Biochemistry, Genetics and Surgery, having authored 12 papers that have together received 380 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (5 papers), Mitochondrial Function and Pathology (4 papers), Genomics and Phylogenetic Studies (2 papers), Bacterial Genetics and Biotechnology (2 papers), Vitamin C and Antioxidants Research (1 paper), Plant tissue culture and regeneration (1 paper), Metabolism and Genetic Disorders (1 paper) and Bacterial Infections and Vaccines (1 paper). The work is most often cited by research in Clinical Biochemistry (37 citations), Molecular Biology (243 citations), Physiology (56 citations), Cancer Research (30 citations) and Endocrine and Autonomic Systems (13 citations). Jay M. Sage has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include Kendall L. Knight, Otto S. Gildemeister, Anthony Carruthers, Jiah Pearson-Leary, Ewan C. McNay, Anthony J. Cura, Michael D. Kaiser, Jennifer R. Davis, Jon M. Kaguni and Alessandro Passera. Their work appears in journals such as Journal of Biological Chemistry, Mitochondrion, American Journal of Physiology-Cell Physiology, Journal of Biomolecular Techniques JBT and Microbiological Research.
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.