Jay M. Sage

1.0k citations
11 papers · 359 · h-index 8

Impact in

    • Metabolism and Genetic Disorders
    • DNA Repair Mechanisms
    • Mitochondrial Function and Pathology
    • Metabolism, Diabetes, and Cancer
    • ATP Synthase and ATPases Research
    • CRISPR and Genetic Engineering

Papers in

Jay M. Sage

11 papers receiving 356 citations

Peers

Jay M. Sage
Comparison fields: 5 of 76
  • Clinical Biochemistry 31
  • Molecular Biology 240
  • Physiology 63
  • Endocrine and Autonomic Systems 14
  • Cancer Research 29
Replace Nina Gubina with:
Nina Gubina Russia
Daniel T. Hass United States
Sara M. Nowinski United States
Sandra Reeg Germany
Takashi Tamatani Japan
Joslyn Mills United States
Daniel Pulliam United States
Rajeshwari Krishnamurthy India
Shuai Shang China
Hiromi Onouchi Japan
Jay M. Sage relative to Nina Gubina Russia Nina Gubina's profile →
Citations per field
00.5×3.3×
Nina Gubina · 1×
Citations per year

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-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.

Border = papers with Jay M. Sage Line = papers co-authored together Jay M. Sage links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 201080
2 201776
3 200971
4 202034
5 201431
6 201526
7 201323
8 20078
9 20164
10 20224
11 20112

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 11 papers that have together received 359 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (5 papers), Mitochondrial Function and Pathology (4 papers), Bacterial Genetics and Biotechnology (2 papers), Metabolism and Genetic Disorders (1 paper), Plant-Microbe Interactions and Immunity (1 paper), Metabolism, Diabetes, and Cancer (1 paper), Pancreatic function and diabetes (1 paper) and Cancer-related Molecular Pathways (1 paper). The work is most often cited by research in Clinical Biochemistry (31 citations), Molecular Biology (240 citations), Physiology (63 citations), Endocrine and Autonomic Systems (14 citations) and Cancer Research (29 citations). Jay M. Sage has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Kendall L. Knight, Otto S. Gildemeister, Anthony Carruthers, Ewan C. McNay, Jiah Pearson-Leary, Anthony J. Cura, Jon M. Kaguni, Emanuela Cosentino, P. Casati and Silvia Laura Toffolatti. Their work appears in journals such as Journal of Biological Chemistry, Mitochondrion, American Journal of Physiology-Cell Physiology, Applied and Environmental Microbiology 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.

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