Andrew Cartwright
Impact in
- Physiology top 5%
- Adipose Tissue and Metabolism
- Telomeres, Telomerase, and Senescence
- Epidemiology top 10%
- Adipokines, Inflammation, and Metabolic Diseases
Papers in
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- Peroxisome Proliferator-Activated Receptors 2
- Gene expression and cancer classification 2
- Advanced Biosensing Techniques and Applications 2
- RNA modifications and cancer 1
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- Adipokines, Inflammation, and Metabolic Diseases 5
- Co-authors
- James L. Kirkland (5 shared papers)Tamar Pirtskhalava (5 shared papers)Tamar Tchkonia (5 shared papers)Ιορδάνης Καραγιαννίδης (3 shared papers)Thomas Thomou (4 shared papers)Michael D. Jensen (2 shared papers)Nino Giorgadze (2 shared papers)Yourka D. Tchoukalova (2 shared papers)
- Journals
- American Journal of Physiology-Endocrinology and Metabolism (3 papers)The Journals of Gerontology Series A (1 paper)SLAS DISCOVERY (1 paper)Journal of Biological Chemistry (1 paper)BMC Cancer (1 paper)
- Partner nations
- United StatesVietnamCanada
In The Last Decade
Andrew Cartwright
8 papers receiving 725 citations
Peers
Comparison fields: 5 of 76
- Physiology 470
- Epidemiology 358
- Genetics 89
- Cardiology and Cardiovascular Medicine 185
- Aging 14
Countries citing papers authored by Andrew Cartwright
This map shows the geographic impact of Andrew Cartwright'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 Andrew Cartwright with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew Cartwright more than expected).
Fields of papers citing papers by Andrew Cartwright
This network shows the impact of papers produced by Andrew Cartwright. 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 Andrew Cartwright. The network helps show where Andrew Cartwright may publish in the future.
Co-authors
The 25 scholars most cited alongside Andrew Cartwright, 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 | 2006 | 276 | |
| 2 | 2004 | 189 | |
| 3 | 2010 | 80 | |
| 4 | 2006 | 63 | |
| 5 | 2006 | 51 | |
| 6 | 2011 | 43 | |
| 7 | 2012 | 32 | |
| 8 | 2009 | 2 |
About Andrew Cartwright
Andrew Cartwright is a scholar working on Molecular Biology, Epidemiology, Physiology, Oncology and Cardiology and Cardiovascular Medicine, having authored 8 papers that have together received 736 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (5 papers), Adipokines, Inflammation, and Metabolic Diseases (5 papers), Peroxisome Proliferator-Activated Receptors (2 papers), Gene expression and cancer classification (2 papers), Advanced Biosensing Techniques and Applications (2 papers), Chemokine receptors and signaling (1 paper), RNA modifications and cancer (1 paper) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Physiology (470 citations), Epidemiology (358 citations), Genetics (89 citations), Cardiology and Cardiovascular Medicine (185 citations) and Aging (14 citations). Andrew Cartwright has collaborated with scholars based in United States, Vietnam and Canada. Frequent co-authors include James L. Kirkland, Tamar Pirtskhalava, Tamar Tchkonia, Ιορδάνης Καραγιαννίδης, Thomas Thomou, Michael D. Jensen, Nino Giorgadze, Yourka D. Tchoukalova, R. Armour Forse and Marc E. Lenburg. Their work appears in journals such as American Journal of Physiology-Endocrinology and Metabolism, The Journals of Gerontology Series A, SLAS DISCOVERY, Journal of Biological Chemistry and BMC Cancer.
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.