Daniela Navarro

1.2k citations
36 papers · 926 · h-index 13

Impact in

Papers in

Daniela Navarro

33 papers receiving 889 citations

Peers

Daniela Navarro
Comparison fields: 5 of 96
  • Pharmacology 321
  • Cellular and Molecular Neuroscience 268
  • Biochemistry 75
  • Endocrinology, Diabetes and Metabolism 158
  • Biological Psychiatry 23
Replace Vahid Sheibani with:
Vahid Sheibani Iran
Juan Decara Spain
Joice Maria da Cunha Brazil
Jair Guilherme Santos-Junior Brazil
Simone Tambaro Sweden
Mario Eduardo Flores-Soto Mexico
Fabiana C. Vilela Brazil
Ewa Widy‐Tyszkiewicz Poland
Glauce S.B. Viana Brazil
Pankaj Dixit India
Daniela Navarro relative to Vahid Sheibani Iran Vahid Sheibani's profile →
Citations per field
00.5×1.5×1.9×
Vahid Sheibani · 1×
Citations per year

Countries citing papers authored by Daniela Navarro

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Navarro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniela Navarro, 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 Daniela Navarro Line = papers co-authored together Daniela Navarro links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010122
2 2013109
3 2012107
4 201293
5 200980
6 201472
7 201067
8 201357
9 201643
10 202223
11 202219
12 202117
13 202214
14 202311
15 20238
16 20238
17 20238
18 20248
19 20227
20 20237

About Daniela Navarro

Daniela Navarro is a scholar working on Pharmacology, Cellular and Molecular Neuroscience, Pediatrics, Perinatology and Child Health, Endocrinology, Diabetes and Metabolism and Physiology, having authored 36 papers that have together received 926 indexed citations. Recurring topics across this work include Cannabis and Cannabinoid Research (18 papers), Neurotransmitter Receptor Influence on Behavior (14 papers), Neuroscience and Neuropharmacology Research (8 papers), Prenatal Substance Exposure Effects (6 papers), Birth, Development, and Health (4 papers), Thyroid Disorders and Treatments (3 papers), Postharvest Quality and Shelf Life Management (2 papers) and Forensic Toxicology and Drug Analysis (2 papers). The work is most often cited by research in Pharmacology (321 citations), Cellular and Molecular Neuroscience (268 citations), Biochemistry (75 citations), Endocrinology, Diabetes and Metabolism (158 citations) and Biological Psychiatry (23 citations). Daniela Navarro has collaborated with scholars based in Spain, Argentina and United States. Frequent co-authors include Pere Berbel, Jorge Manzanares, Francisco Navarrete, María S. García‐Gutiérrez, Daniel Valero, S. Castillo, Pedro J. Zapata, Domingo Martínez‐Romero, Marı́a Serrano and Fabián Guillén. Their work appears in journals such as International Journal of Molecular Sciences, Neuropharmacology, Biomolecules, Neuropsychopharmacology and International Journal of Mental Health and Addiction.

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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