Maddi Osés

22 papers receiving 430 citations

Peers

Maddi Osés
Comparison fields: 5 of 75
  • Clinical Psychology 84
  • Public Health, Environmental and Occupational Health 107
  • Cancer Research 41
  • Physiology 59
  • Orthopedics and Sports Medicine 12
Replace Lide Arenaza with:
Lide Arenaza Spain
Shihan Zhen China
Shenglong Le China
Hege Berg Henriksen Norway
María Amasene Spain
Raphael Del Roio Liberatore Brazil
Nikoletta Vidra Netherlands
Dimitrios Spanos United Kingdom
K.E. North United States
Henry Nuss United States
Maddi Osés relative to Lide Arenaza Spain Lide Arenaza's profile →
Citations per field
00.5×6.8×
Lide Arenaza · 1×
Citations per year

Countries citing papers authored by Maddi Osés

Since Specialization
Citations

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

Fields of papers citing papers by Maddi Osés

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020198
2 201972
3 201936
4 201816
5 202115
6 202012
7 201911
8 201811
9 20249
10 20229
11 20197
12 20226
13 20236
14 20236
15 20196
16 20225
17 20225
18 20214
19 20253
20 20251

About Maddi Osés

Maddi Osés is a scholar working on Public Health, Environmental and Occupational Health, Physiology, Epidemiology, Endocrinology, Diabetes and Metabolism and Clinical Psychology, having authored 23 papers that have together received 440 indexed citations. Recurring topics across this work include Obesity, Physical Activity, Diet (5 papers), Liver Disease Diagnosis and Treatment (4 papers), Diet, Metabolism, and Disease (3 papers), Nutritional Studies and Diet (3 papers), MicroRNA in disease regulation (2 papers), Dietary Effects on Health (2 papers), Diet and metabolism studies (2 papers) and Circular RNAs in diseases (1 paper). The work is most often cited by research in Clinical Psychology (84 citations), Public Health, Environmental and Occupational Health (107 citations), Cancer Research (41 citations), Physiology (59 citations) and Orthopedics and Sports Medicine (12 citations). Maddi Osés has collaborated with scholars based in Spain, Finland and Sweden. Frequent co-authors include Idoia Labayen, María Medrano, Lide Arenaza, Cristina Cadenas‐Sánchez, María Amasene, Concepción M. Aguilera, María P. Portillo, Francisco B. Ortega, Jonatan R. Ruiz and Vicente Martínez‐Vizcaíno. Their work appears in journals such as Nutrients, Pediatric Obesity, Diabetes Care, The Journal of Clinical Endocrinology & Metabolism and JAMA Network Open.

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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