Ricardo Closa‐Monasterolo
- Public Health, Environmental and Occupational Health top 5%
- Pediatrics, Perinatology and Child Health top 2%
- Nutrition and Dietetics top 2%
- Physiology top 10%
- Epidemiology
- Co-authors
- Veit GroteBerthold KoletzkoDariusz GruszfeldElvira VerduciJoaquín EscribanoPiotr SochaJean‐Paul LanghendriesElena Dain
- Topics
- Birth, Development, and Health (10 papers)Obesity, Physical Activity, Diet (10 papers)Diet and metabolism studies (6 papers)
In The Last Decade
Ricardo Closa‐Monasterolo
22 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 93
- Public Health, Environmental and Occupational Health 516
- Pediatrics, Perinatology and Child Health 423
- Nutrition and Dietetics 375
- Physiology 243
- Epidemiology 239
Countries citing papers authored by Ricardo Closa‐Monasterolo
This map shows the geographic impact of Ricardo Closa‐Monasterolo'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 Ricardo Closa‐Monasterolo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ricardo Closa‐Monasterolo more than expected).
Fields of papers citing papers by Ricardo Closa‐Monasterolo
This network shows the impact of papers produced by Ricardo Closa‐Monasterolo. 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 Ricardo Closa‐Monasterolo. The network helps show where Ricardo Closa‐Monasterolo may publish in the future.
Co-authorship network of co-authors of Ricardo Closa‐Monasterolo
This figure shows the co-authorship network connecting the top 25 collaborators of Ricardo Closa‐Monasterolo. A scholar is included among the top collaborators of Ricardo Closa‐Monasterolo based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ricardo Closa‐Monasterolo. Ricardo Closa‐Monasterolo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 6 | |
| 3 | 22 | |
| 4 | 38 | |
| 5 | 49 | |
| 6 | 9 | |
| 7 | 43 | |
| 8 | 56 | |
| 9 | 23 | |
| 10 | 20 | |
| 11 | 30 | |
| 12 | 66 | |
| 13 | 14 | |
| 14 | 7 | |
| 15 | Lower protein content in infant formula reduces BMI and obesity risk at school age: follow-up of a randomized trialbreakdown → | 329 |
| 16 | 34 | |
| 17 | 17 | |
| 18 | 204 | |
| 19 | 35 | |
| 20 | 52 |
About Ricardo Closa‐Monasterolo
Ricardo Closa‐Monasterolo is a scholar working on Pediatrics, Perinatology and Child Health, Nutrition and Dietetics and Public Health, Environmental and Occupational Health, having authored 22 papers that have together received 1.1k indexed citations. Recurring topics across this work include Birth, Development, and Health (10 papers), Obesity, Physical Activity, Diet (10 papers) and Diet and metabolism studies (6 papers). The work is most often cited by research in Nutrition and Dietetics (375 citations), Pediatrics, Perinatology and Child Health (423 citations) and Public Health, Environmental and Occupational Health (516 citations). Ricardo Closa‐Monasterolo has collaborated with scholars based in Spain, Poland and Italy. Frequent co-authors include Veit Grote, Berthold Koletzko, Dariusz Gruszfeld, Elvira Verduci, Joaquín Escribano, Piotr Socha, Jean‐Paul Langhendries, Elena Dain, Martina Weber and Marcello Giovannini. Their work appears in journals such as PLoS ONE, American Journal of Clinical Nutrition and Scientific Reports.
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.