Arnaldo Gatica

432 citations
9 papers · 366 · h-index 6

Impact in

    • NF-κB Signaling Pathways
    • Cancer, Hypoxia, and Metabolism
    • Cancer, Lipids, and Metabolism
    • Eicosanoids and Hypertension Pharmacology

Papers in

Arnaldo Gatica

9 papers receiving 362 citations

Peers

Arnaldo Gatica
Comparison fields: 5 of 81
  • Cancer Research 103
  • Biochemistry 41
  • Pharmacology 28
  • Molecular Biology 165
  • Immunology 46
Replace Chi Huu Nguyen with:
Chi Huu Nguyen Austria
Liliána Z. Fehér Hungary
Sohel H. Quazi United States
Tingting Duan China
Wangbing Chen China
Haibo Hu China
Chunyan Yu China
Xuechai Chen China
José A. Pellicer Spain
Arnaldo Gatica relative to Chi Huu Nguyen Austria Chi Huu Nguyen's profile →
Citations per field
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Chi Huu Nguyen · 1×
Citations per year

Countries citing papers authored by Arnaldo Gatica

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Arnaldo Gatica Line = papers co-authored together Arnaldo Gatica links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 2007205
2 200790
3 201121
4 201018
5 200710
6
Obese visceral adipose tissue grafted in lean mice can alter glucose homeostasis and energy efficiency.
201210
7 20135
8 20104
9
[Conversion from +Sandimmune to Neoral in kidney transplant recipients treated with cyclosporine and ketoconazole].
19973

About Arnaldo Gatica

Arnaldo Gatica is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Pediatrics, Perinatology and Child Health, Biochemistry and Cancer Research, having authored 9 papers that have together received 366 indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (2 papers), Eicosanoids and Hypertension Pharmacology (2 papers), Birth, Development, and Health (2 papers), Circadian rhythm and melatonin (1 paper), Plant biochemistry and biosynthesis (1 paper), NF-κB Signaling Pathways (1 paper), Pharmacogenetics and Drug Metabolism (1 paper) and Cancer, Hypoxia, and Metabolism (1 paper). The work is most often cited by research in Cancer Research (103 citations), Biochemistry (41 citations), Pharmacology (28 citations), Molecular Biology (165 citations) and Immunology (46 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, Shilin Yang, John R. Falck, Ambra Pozzi, Shaojun Mei, Jorge H. Capdevila, Shouzuo Wei and Carlos Morgan. Their work appears in journals such as Journal of Lipid Research, Journal of Neurochemistry, Clinical Oncology, Biological Research and Journal of Biological Chemistry.

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.

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