Arnaldo Gatica
Impact in
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- NF-κB Signaling Pathways
- Cancer, Hypoxia, and Metabolism
- Cancer, Lipids, and Metabolism
- Biochemistry top 10%
- Eicosanoids and Hypertension Pharmacology
Papers in
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- Peroxisome Proliferator-Activated Receptors 2
- TGF-β signaling in diseases 1
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- Birth, Development, and Health 2
- Pharmacological Effects and Toxicity Studies 1
- Co-authors
- Ricardo O. Escárcega (1 shared paper)Salvador Fuentes-Alexandro (1 shared paper)Mario García‐Carrasco (1 shared paper)Ambra Pozzi (1 shared paper)Shaojun Mei (1 shared paper)Shouzuo Wei (1 shared paper)Shilin Yang (1 shared paper)Jorge H. Capdevila (1 shared paper)
- Journals
- Journal of Lipid Research (1 paper)Journal of Biological Chemistry (1 paper)Biological Research (1 paper)Clinical Oncology (1 paper)Journal of Neurochemistry (1 paper)
- Partner nations
- ChileUnited StatesMexico
In The Last Decade
Arnaldo Gatica
9 papers receiving 353 citations
Peers
Comparison fields: 5 of 82
- Cancer Research 111
- Biochemistry 43
- Pharmacology 27
- Molecular Biology 184
- Immunology 49
Countries citing papers authored by Arnaldo Gatica
This map shows the geographic impact of Arnaldo Gatica'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 Arnaldo Gatica with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arnaldo Gatica more than expected).
Fields of papers citing papers by Arnaldo Gatica
This network shows the impact of papers produced by Arnaldo Gatica. 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 Arnaldo Gatica. The network helps show where Arnaldo Gatica may publish in the future.
Co-authors
The 25 scholars most cited alongside Arnaldo Gatica, 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 | 2007 | 200 | |
| 2 | 2007 | 90 | |
| 3 | 2011 | 19 | |
| 4 | 2010 | 17 | |
| 5 | Obese visceral adipose tissue grafted in lean mice can alter glucose homeostasis and energy efficiency. | 2012 | 10 |
| 6 | 2007 | 9 | |
| 7 | 2013 | 5 | |
| 8 | 2010 | 4 | |
| 9 | [Conversion from +Sandimmune to Neoral in kidney transplant recipients treated with cyclosporine and ketoconazole]. | 1997 | 3 |
About Arnaldo Gatica
Arnaldo Gatica is a scholar working on Molecular Biology, Pediatrics, Perinatology and Child Health, Cellular and Molecular Neuroscience, Biochemistry and Cancer Research, having authored 9 papers that have together received 357 indexed citations. Recurring topics across this work include Eicosanoids and Hypertension Pharmacology (2 papers), Peroxisome Proliferator-Activated Receptors (2 papers), Birth, Development, and Health (2 papers), Pharmacological Effects and Toxicity Studies (1 paper), Cytokine Signaling Pathways and Interactions (1 paper), TGF-β signaling in diseases (1 paper), Cancer, Hypoxia, and Metabolism (1 paper) and Oral and gingival health research (1 paper). The work is most often cited by research in Cancer Research (111 citations), Biochemistry (43 citations), Pharmacology (27 citations), Molecular Biology (184 citations) and Immunology (49 citations). Arnaldo Gatica has collaborated with scholars based in Chile, United States and Mexico. Frequent co-authors include Ricardo O. Escárcega, Salvador Fuentes-Alexandro, Mario García‐Carrasco, Ambra Pozzi, Shaojun Mei, Shouzuo Wei, Shilin Yang, Jorge H. Capdevila, John R. Falck and Carlos Morgan. Their work appears in journals such as Journal of Lipid Research, Journal of Biological Chemistry, Biological Research, Clinical Oncology and Journal of Neurochemistry.
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.