Alex Red Eagle
Impact in
- Immunology top 2%
- Immune cells in cancer
- Phagocytosis and Immune Regulation
- Atherosclerosis and Cardiovascular Diseases
- Epidemiology top 2%
- Adipokines, Inflammation, and Metabolic Diseases
- Liver Disease Diagnosis and Treatment
Papers in
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- Adipokines, Inflammation, and Metabolic Diseases 4
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- Phagocytosis and Immune Regulation 1
- Immune cells in cancer 1
- Co-authors
- Ajay Chawla (6 shared papers)Lata Mukundan (5 shared papers)Justin Iver Odegaard (5 shared papers)Christine R. Morel (4 shared papers)Roberto R. Ricardo-González (4 shared papers)Divya Vats (2 shared papers)Anthony W. Ferrante (2 shared papers)Frank Brombacher (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Human Genetics (1 paper)Diabetic Medicine (1 paper)Nature (1 paper)Cell Metabolism (1 paper)
- Partner nations
- United StatesGermanyJapan
In The Last Decade
Alex Red Eagle
8 papers receiving 3.4k citations
Alex Red Eagle's Hit Papers
Peers
Comparison fields: 5 of 89
- Immunology 957
- Epidemiology 1.2k
- Hepatology 162
- Parasitology 86
- Molecular Biology 712
Countries citing papers authored by Alex Red Eagle
This map shows the geographic impact of Alex Red Eagle'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 Alex Red Eagle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alex Red Eagle more than expected).
Fields of papers citing papers by Alex Red Eagle
This network shows the impact of papers produced by Alex Red Eagle. 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 Alex Red Eagle. The network helps show where Alex Red Eagle may publish in the future.
Co-authors
The 25 scholars most cited alongside Alex Red Eagle, 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 | Macrophage-specific PPARγ controls alternative activation and improves insulin resistance Hit paper breakdown → | 2007 | 1835 |
| 2 | Alternative M2 Activation of Kupffer Cells by PPARδ Ameliorates Obesity-Induced Insulin Resistance Hit paper breakdown → | 2008 | 749 |
| 3 | 2009 | 324 | |
| 4 | 2013 | 237 | |
| 5 | 2010 | 218 | |
| 6 | 2005 | 29 | |
| 7 | 2010 | 29 | |
| 8 | 2006 | 23 |
About Alex Red Eagle
Alex Red Eagle is a scholar working on Epidemiology, Immunology, Hepatology, Nephrology and Cell Biology, having authored 8 papers that have together received 3.4k indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (4 papers), Peroxisome Proliferator-Activated Receptors (2 papers), Chronic Kidney Disease and Diabetes (1 paper), Phagocytosis and Immune Regulation (1 paper), Aldose Reductase and Taurine (1 paper), Immune cells in cancer (1 paper) and Liver physiology and pathology (1 paper). The work is most often cited by research in Immunology (957 citations), Epidemiology (1.2k citations), Hepatology (162 citations), Parasitology (86 citations) and Molecular Biology (712 citations). Alex Red Eagle has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Ajay Chawla, Lata Mukundan, Justin Iver Odegaard, Christine R. Morel, Roberto R. Ricardo-González, Divya Vats, Anthony W. Ferrante, Frank Brombacher, Y. P. Sharon Goh and Khoa D. Nguyen. Their work appears in journals such as Proceedings of the National Academy of Sciences, Human Genetics, Diabetic Medicine, Nature and Cell Metabolism.
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.