George Marek
Impact in
- Nephrology top 1%
- Gout, Hyperuricemia, Uric Acid
-
- Diet, Metabolism, and Disease
Papers in
-
- Metabolism, Diabetes, and Cancer 2
- Studies on Chitinases and Chitosanases 2
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- Protease and Inhibitor Mechanisms 5
- Co-authors
- Yuri Y. Sautin (3 shared papers)Richard J. Johnson (2 shared papers)Chris Baylis (1 shared paper)Steven McRae (1 shared paper)William S. Baldwin (1 shared paper)David C. Wymer (1 shared paper)Takuji Ishimoto (2 shared papers)Duk‐Hee Kang (1 shared paper)
- Journals
- Hepatology (2 papers)Diabetes (2 papers)PLoS ONE (2 papers)American Journal of Respiratory Cell and Molecular Biology (2 papers)Journal of Hepatology (1 paper)
- Partner nations
- United StatesTürkiyeIndia
In The Last Decade
George Marek
15 papers receiving 1.2k citations
George Marek's Hit Papers
Peers
Comparison fields: 5 of 82
- Nephrology 525
- Endocrinology, Diabetes and Metabolism 317
- Pathology and Forensic Medicine 227
- Epidemiology 389
- Physiology 144
Countries citing papers authored by George Marek
This map shows the geographic impact of George Marek'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 George Marek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites George Marek more than expected).
Fields of papers citing papers by George Marek
This network shows the impact of papers produced by George Marek. 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 George Marek. The network helps show where George Marek may publish in the future.
Co-authors
The 25 scholars most cited alongside George Marek, 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 | Uric Acid Induces Hepatic Steatosis by Generation of Mitochondrial Oxidative Stress Hit paper breakdown → | 2012 | 589 |
| 2 | 2011 | 372 | |
| 3 | 2018 | 83 | |
| 4 | 2014 | 46 | |
| 5 | 2017 | 35 | |
| 6 | 2010 | 22 | |
| 7 | 2017 | 20 | |
| 8 | 2020 | 20 | |
| 9 | 2019 | 18 | |
| 10 | 2024 | 17 | |
| 11 | 2017 | 16 | |
| 12 | 2017 | 9 | |
| 13 | 2021 | 6 | |
| 14 | 2021 | 4 | |
| 15 | 2016 | 2 | |
| 16 | 2025 | 0 | |
| 17 | 2024 | 0 |
About George Marek
George Marek is a scholar working on Molecular Biology, Cancer Research, Epidemiology, Pulmonary and Respiratory Medicine and Endocrinology, Diabetes and Metabolism, having authored 17 papers that have together received 1.3k indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (5 papers), Diet, Metabolism, and Disease (3 papers), Liver Disease Diagnosis and Treatment (3 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Gout, Hyperuricemia, Uric Acid (2 papers), Metabolism, Diabetes, and Cancer (2 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (2 papers) and Studies on Chitinases and Chitosanases (2 papers). The work is most often cited by research in Nephrology (525 citations), Endocrinology, Diabetes and Metabolism (317 citations), Pathology and Forensic Medicine (227 citations), Epidemiology (389 citations) and Physiology (144 citations). George Marek has collaborated with scholars based in United States, Türkiye and India. Frequent co-authors include Yuri Y. Sautin, Richard J. Johnson, Chris Baylis, Steven McRae, William S. Baldwin, David C. Wymer, Takuji Ishimoto, Duk‐Hee Kang, Bernardo Rodríguez‐Iturbe and Murat Duranay. Their work appears in journals such as Hepatology, Diabetes, PLoS ONE, American Journal of Respiratory Cell and Molecular Biology and Journal of Hepatology.
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.