Tyler J. Marquart
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Cancer, Lipids, and Metabolism
- Biochemistry top 10%
- Lipid metabolism and biosynthesis
Papers in
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- MicroRNA in disease regulation 3
- Cancer Genomics and Diagnostics 1
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- Peroxisome Proliferator-Activated Receptors 1
- Glycosylation and Glycoproteins Research 1
- Co-authors
- Ángel Baldán (6 shared papers)Ryan M. Allen (4 shared papers)Daniel Ory (1 shared paper)Judy Wu (1 shared paper)Aldons J. Lusis (1 shared paper)David A. Ford (2 shared papers)Meenakshisundaram Ananthanarayanan (1 shared paper)David Q.‐H. Wang (1 shared paper)
- Journals
- EMBO Molecular Medicine (1 paper)Arteriosclerosis Thrombosis and Vascular Biology (1 paper)The Journal of Immunology (1 paper)Journal of Hepatology (1 paper)Journal of Medical Economics (1 paper)
- Partner nations
- United StatesSpainUnited Kingdom
In The Last Decade
Tyler J. Marquart
8 papers receiving 785 citations
Tyler J. Marquart's Hit Papers
Peers
Comparison fields: 5 of 60
- Cancer Research 510
- Biochemistry 47
- Molecular Biology 434
- Surgery 195
- Immunology 89
Countries citing papers authored by Tyler J. Marquart
This map shows the geographic impact of Tyler J. Marquart'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 Tyler J. Marquart with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tyler J. Marquart more than expected).
Fields of papers citing papers by Tyler J. Marquart
This network shows the impact of papers produced by Tyler J. Marquart. 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 Tyler J. Marquart. The network helps show where Tyler J. Marquart may publish in the future.
Co-authors
The 25 scholars most cited alongside Tyler J. Marquart, 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 | miR-33 links SREBP-2 induction to repression of sterol transporters Hit paper breakdown → | 2010 | 473 |
| 2 | 2012 | 140 | |
| 3 | 2013 | 93 | |
| 4 | 2014 | 34 | |
| 5 | 2014 | 29 | |
| 6 | 2014 | 27 | |
| 7 | 2023 | 5 | |
| 8 | 2022 | 3 | |
| 9 | 2025 | 0 |
About Tyler J. Marquart
Tyler J. Marquart is a scholar working on Cancer Research, Molecular Biology, Oncology, Surgery and Pulmonary and Respiratory Medicine, having authored 9 papers that have together received 804 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (3 papers), Drug Transport and Resistance Mechanisms (2 papers), Peroxisome Proliferator-Activated Receptors (1 paper), Glycosylation and Glycoproteins Research (1 paper), Lung Cancer Treatments and Mutations (1 paper), Cholesterol and Lipid Metabolism (1 paper), Cancer Genomics and Diagnostics (1 paper) and Monoclonal and Polyclonal Antibodies Research (1 paper). The work is most often cited by research in Cancer Research (510 citations), Biochemistry (47 citations), Molecular Biology (434 citations), Surgery (195 citations) and Immunology (89 citations). Tyler J. Marquart has collaborated with scholars based in United States, Spain and United Kingdom. Frequent co-authors include Ángel Baldán, Ryan M. Allen, Daniel Ory, Judy Wu, Aldons J. Lusis, David A. Ford, Meenakshisundaram Ananthanarayanan, David Q.‐H. Wang, Carolyn J. Albert and Frederick J. Suchy. Their work appears in journals such as EMBO Molecular Medicine, Arteriosclerosis Thrombosis and Vascular Biology, The Journal of Immunology, Journal of Hepatology and Journal of Medical Economics.
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.