Luis Arqueros

824 citations
20 papers · 772 · h-index 13

Impact in

Papers in

Luis Arqueros

20 papers receiving 676 citations

Peers

Luis Arqueros
Comparison fields: 5 of 82
  • Cellular and Molecular Neuroscience 402
  • Behavioral Neuroscience 32
  • Physiology 38
  • Biochemistry 50
  • Cell Biology 112
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Citations per field
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Citations per year

Countries citing papers authored by Luis Arqueros

Since Specialization
Citations

This map shows the geographic impact of Luis Arqueros'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 Luis Arqueros with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luis Arqueros more than expected).

Fields of papers citing papers by Luis Arqueros

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Luis Arqueros. 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 Luis Arqueros. The network helps show where Luis Arqueros may publish in the future.

Co-authors

The 11 scholars most cited alongside Luis Arqueros, 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 Luis Arqueros Line = papers co-authored together Luis Arqueros links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 1968216
2 1969128
3 197882
4 196954
5
Mechanism of secretion from the adrenal medulla. 3. Studies of dopamine beta-hydroxylase as a marker for catecholamine storage vesicle membranes in rabbit adrenal glands.
196948
6
Mechanism of secretion from the adrenal medulla. V. Retention of storage vesicle membranes following release of adrenaline.
196942
7 198338
8
Mechanism of secretion from the adrenal medulla. VII. Effect of insulin administration on the buoyant density, dopamine -hydroxylase, and catecholamine content of adrenal storage vesicles.
197130
9 197823
10
Mechanism of secretion from the adrenal medulla. VI. Effect of reserpine on the dopamine -hydroxylase and catecholamine content and on the buoyant density of adrenal storage vesicles.
197122
11 198515
12 197814
13 196913
14 198112
15 196911
16 19809
17 19896
18 19714
19 19863
20 19712

About Luis Arqueros

Luis Arqueros is a scholar working on Cellular and Molecular Neuroscience, Physiology, Biochemistry, Molecular Biology and Endocrinology, Diabetes and Metabolism, having authored 20 papers that have together received 772 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (4 papers), Pancreatic function and diabetes (3 papers), Neurotransmitter Receptor Influence on Behavior (3 papers), Lipid Membrane Structure and Behavior (2 papers), Nitric Oxide and Endothelin Effects (2 papers), Adipose Tissue and Metabolism (2 papers), Hormonal Regulation and Hypertension (2 papers) and Amino Acid Enzymes and Metabolism (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (402 citations), Behavioral Neuroscience (32 citations), Physiology (38 citations), Biochemistry (50 citations) and Cell Biology (112 citations). Luis Arqueros has collaborated with scholars based in Chile and United States. Frequent co-authors include Norman Kirshner, O. Humberto Viveros, A.J. Daniels, Richard J. Connett, Maria Isolde Rudolph, Gonzalo Salvador Bustos-Quevedo, Jorge Abarca, Katia Gysling, María E. Fuentes and Nibaldo C. Inestrosa. Their work appears in journals such as Molecular Pharmacology, Life Sciences, Biochemical Pharmacology, Science 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.

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