Nuria Beneit

17 papers receiving 529 citations

Peers

Nuria Beneit
Comparison fields: 5 of 79
  • Physiology 144
  • Endocrinology, Diabetes and Metabolism 72
  • Nutrition and Dietetics 69
  • Cancer Research 59
  • Biochemistry 22
Replace Sabela Díaz-Castroverde with:
Sabela Díaz-Castroverde Spain
Yolanda F. Otero France
Benjamine Geeraert Belgium
Riya Ganguly Canada
Roberta Marcondes Machado Brazil
Eun Hee Ko South Korea
Waleska Dornas Brazil
Ilhame Diboun Qatar
Antwi‐Boasiako Oteng Netherlands
Sabrina Randazzo Italy
Nuria Beneit relative to Sabela Díaz-Castroverde Spain Sabela Díaz-Castroverde's profile →
Citations per field
00.5×
Sabela Díaz-Castroverde · 1×
Citations per year

Countries citing papers authored by Nuria Beneit

Since Specialization
Citations

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

Fields of papers citing papers by Nuria Beneit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2016148
2 2015128
3 201755
4 201633
5 201323
6 202220
7 201420
8 201618
9 201518
10 201616
11 201614
12 202412
13 201812
14 201912
15 20243
16 20242
17 20241

About Nuria Beneit

Nuria Beneit is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Endocrinology, Diabetes and Metabolism, Physiology and Surgery, having authored 17 papers that have together received 535 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (3 papers), Metabolism, Diabetes, and Cancer (3 papers), Adipose Tissue and Metabolism (3 papers), Obesity, Physical Activity, Diet (2 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers), Cardiovascular Disease and Adiposity (2 papers), Pancreatic function and diabetes (2 papers) and Consumer Attitudes and Food Labeling (1 paper). The work is most often cited by research in Physiology (144 citations), Endocrinology, Diabetes and Metabolism (72 citations), Nutrition and Dietetics (69 citations), Cancer Research (59 citations) and Biochemistry (22 citations). Nuria Beneit has collaborated with scholars based in Spain, Chile and Brazil. Frequent co-authors include Óscar Escribano, Almudena Gómez‐Hernández, Sabela Díaz-Castroverde, Manuel Benito, Liliana Perdomo, Yolanda F. Otero, Silvia Fernández, José Luis Martı́n-Ventura, Estela Jiménez‐López and Arthur Eumann Mesas. Their work appears in journals such as Cardiovascular Diabetology, Endocrinology, Journal of Clinical Medicine, Molecular Metabolism 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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