R. Ariel Igal
- Biochemistry top 0.5%
- Lipid metabolism and biosynthesis 18
- Cancer Research top 2%
- Cancer, Lipids, and Metabolism 13
- Cancer, Hypoxia, and Metabolism 5
- Molecular Biology top 10%
- Peroxisome Proliferator-Activated Receptors 12
- Nutrition and Dietetics top 5%
- Fatty Acid Research and Health 5
- Physiology top 10%
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- Cholesterol and Lipid Metabolism 3
- Pancreatic function and diabetes 3
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- Metabolism and Genetic Disorders 3
- Co-authors
- Natalia ScagliaRosalind ColemanJeffrey W. ChisholmDaniel HeßCarolina BagnatoDébora SinnerIrma N. T. de Gómez DummJ. Marc Rhoads
- Journals
- Journal of Biological Chemistry (4 papers)Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids (3 papers)Journal of Lipid Research (3 papers)
- Partner nations
- United StatesArgentina
In The Last Decade
R. Ariel Igal
27 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 83
- Biochemistry 607
- Cancer Research 840
- Molecular Biology 1.0k
- Nutrition and Dietetics 186
- Physiology 228
Countries citing papers authored by R. Ariel Igal
This map shows the geographic impact of R. Ariel Igal'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 R. Ariel Igal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. Ariel Igal more than expected).
Fields of papers citing papers by R. Ariel Igal
This network shows the impact of papers produced by R. Ariel Igal. 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 R. Ariel Igal. The network helps show where R. Ariel Igal may publish in the future.
Co-authorship network
The 19 scholars most cited alongside R. Ariel Igal, 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 | 2024 | 5 | |
| 2 | 2020 | 37 | |
| 3 | 2016 | 124 | |
| 4 | 2012 | 46 | |
| 5 | 2011 | 82 | |
| 6 | 2011 | 32 | |
| 7 | 2010 | 258 | |
| 8 | 2010 | 158 | |
| 9 | 2009 | 161 | |
| 10 | 2008 | 36 | |
| 11 | 2005 | 137 | |
| 12 | 2004 | 77 | |
| 13 | 2004 | 25 | |
| 14 | 2003 | 60 | |
| 15 | 2001 | 74 | |
| 16 | 1998 | 49 | |
| 17 | 1998 | 2 | |
| 18 | 1997 | 60 | |
| 19 | 1996 | 116 | |
| 20 | 1991 | 27 |
About R. Ariel Igal
R. Ariel Igal is a scholar working on Biochemistry, Cancer Research and Clinical Biochemistry, having authored 27 papers that have together received 1.7k indexed citations. Recurring topics across this work include Lipid metabolism and biosynthesis (18 papers), Cancer, Lipids, and Metabolism (13 papers), Peroxisome Proliferator-Activated Receptors (12 papers), Cancer, Hypoxia, and Metabolism (5 papers), Fatty Acid Research and Health (5 papers), Cholesterol and Lipid Metabolism (3 papers), Metabolism and Genetic Disorders (3 papers) and Pancreatic function and diabetes (3 papers). The work is most often cited by research in Biochemistry (607 citations), Cancer Research (840 citations) and Molecular Biology (1.0k citations). R. Ariel Igal has collaborated with scholars based in United States and Argentina. Frequent co-authors include Natalia Scaglia, Rosalind Coleman, Jeffrey W. Chisholm, Daniel Heß, Carolina Bagnato, Débora Sinner, Irma N. T. de Gómez Dumm, J. Marc Rhoads, María R. González-Baró and Shuli Wang. Their work appears in journals such as Journal of Biological Chemistry, Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids, Journal of Lipid Research, PLoS ONE and Journal of Pediatric Gastroenterology and Nutrition.
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.