Carla M. Prado

29.3k total citations · 17 hit papers
300 papers, 18.4k citations indexed

About

Carla M. Prado is a scholar working on Physiology, Geriatrics and Gerontology and Oncology. According to data from OpenAlex, Carla M. Prado has authored 300 papers receiving a total of 18.4k indexed citations (citations by other indexed papers that have themselves been cited), including 233 papers in Physiology, 58 papers in Geriatrics and Gerontology and 54 papers in Oncology. Recurrent topics in Carla M. Prado's work include Nutrition and Health in Aging (198 papers), Body Composition Measurement Techniques (88 papers) and Frailty in Older Adults (58 papers). Carla M. Prado is often cited by papers focused on Nutrition and Health in Aging (198 papers), Body Composition Measurement Techniques (88 papers) and Frailty in Older Adults (58 papers). Carla M. Prado collaborates with scholars based in Canada, United States and Brazil. Carla M. Prado's co-authors include Vickie E. Baracos, Linda J. McCargar, Jessica Lieffers, Michael B. Sawyer, Tony Reiman, Marina Mourtzakis, Steven B. Heymsfield, Lisa Martin, Mario Siervo and Marı́a Cristina González and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Journal of the American College of Cardiology.

In The Last Decade

Carla M. Prado

279 papers receiving 18.1k citations

Hit Papers

Prevalence and clinical implications of sarcopenic obesit... 2008 2026 2014 2020 2008 2008 2009 2011 2012 500 1000 1.5k 2.0k

Peers

Carla M. Prado
Comparison fields: 5 of 166
  • Physiology 14.3k
  • Geriatrics and Gerontology 4.5k
  • Oncology 4.0k
  • Surgery 3.1k
  • Nutrition and Dietetics 2.3k
Replace Mauro Zamboni with:
Mauro Zamboni Italy
Ingvar Bosæus Sweden
Kenneth C. H. Fearon United Kingdom
Maurizio Muscaritoli Italy
M.A.E. de van der Schueren Netherlands
Arved Weimann Germany
Jens Kondrup Denmark
Olle Ljungqvist Sweden
Wolfram Doehner Germany
Matthias Pirlich Germany
Mauro Zamboni Italy View profile →
Citations per field, relative to Carla M. Prado
Carla M. Prado · 1×
Citations per year, relative to Carla M. Prado
Carla M. Prado · 1×

Countries citing papers authored by Carla M. Prado

Since Specialization
Citations

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

Fields of papers citing papers by Carla M. Prado

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Carla M. Prado. 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 Carla M. Prado. The network helps show where Carla M. Prado may publish in the future.

Co-authorship network of co-authors of Carla M. Prado

This figure shows the co-authorship network connecting the top 25 collaborators of Carla M. Prado. A scholar is included among the top collaborators of Carla M. Prado 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 Carla M. Prado. Carla M. Prado is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 9
3 8
4 1
5 0
6 2
7 1
8 8
9 1
10 1
11 41
12 5
13 8
14 1
15 3
16 66
17 261
18 1
19 185
20 6

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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