Beatriz Navia

35 papers receiving 1.1k citations

Peers

Beatriz Navia
Comparison fields: 5 of 111
  • Nutrition and Dietetics 261
  • Public Health, Environmental and Occupational Health 435
  • Physiology 261
  • Biochemistry 60
  • Pathology and Forensic Medicine 121
Replace Bárbara Vizmanos with:
Bárbara Vizmanos Mexico
Aránzazu Aparicio Spain
Christina Breidenassel Germany
Koutatsu Maruyama Japan
Antonia‐Leda Matalas Greece
Anna Brzozowska Poland
Younjhin Ahn South Korea
Cynthia Blanton United States
Valentina Ponzo Italy
Majid Karandish Iran
Beatriz Navia relative to Bárbara Vizmanos Mexico Bárbara Vizmanos's profile →
Citations per field
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Citations per year

Countries citing papers authored by Beatriz Navia

Since Specialization
Citations

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

Fields of papers citing papers by Beatriz Navia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Beatriz Navia, 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 Beatriz Navia Line = papers co-authored together Beatriz Navia 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 1997273
2
Difference in the breakfast habits of overweight/obese and normal weight schoolchildren.
1998106
3 201073
4 200973
5 200372
6 200271
7 202061
8 201549
9 200345
10 200342
11 199842
12 199638
13 201429
14 200427
15 202217
16
The influence of meat consumption on dietary data, iron status and serum lipid parameters in young women.
199817
17 201315
18 201715
19 202215
20 201712

About Beatriz Navia

Beatriz Navia is a scholar working on Public Health, Environmental and Occupational Health, Physiology, Nutrition and Dietetics, Rheumatology and Endocrinology, Diabetes and Metabolism, having authored 36 papers that have together received 1.2k indexed citations. Recurring topics across this work include Nutritional Studies and Diet (10 papers), Obesity, Physical Activity, Diet (5 papers), Diet and metabolism studies (5 papers), Folate and B Vitamins Research (3 papers), Nutrition, Genetics, and Disease (3 papers), Diet, Metabolism, and Disease (3 papers), Antioxidant Activity and Oxidative Stress (3 papers) and Sodium Intake and Health (2 papers). The work is most often cited by research in Nutrition and Dietetics (261 citations), Public Health, Environmental and Occupational Health (435 citations), Physiology (261 citations), Biochemistry (60 citations) and Pathology and Forensic Medicine (121 citations). Beatriz Navia has collaborated with scholars based in Spain. Frequent co-authors include Ana M. López‐Sobaler, A M Requejo, Pedro Andrés, M E Quintas, Elena Rodríguez‐Rodríguez, Rosa María Ortega Anta, M R Redondo, Trinidad Rivas, J. M. Perea and Aránzazu Aparicio. Their work appears in journals such as Annals of Nutrition and Metabolism, European Journal of Clinical Nutrition, Journal of the American College of Nutrition, Gut Microbes and Journal of Human Nutrition and Dietetics.

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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