Nuno Pimenta

518 total citations
30 papers, 315 citations indexed

About

Nuno Pimenta is a scholar working on Physiology, Cardiology and Cardiovascular Medicine and General Health Professions. According to data from OpenAlex, Nuno Pimenta has authored 30 papers receiving a total of 315 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Physiology, 11 papers in Cardiology and Cardiovascular Medicine and 7 papers in General Health Professions. Recurrent topics in Nuno Pimenta's work include Nutrition and Health in Aging (8 papers), Body Composition Measurement Techniques (7 papers) and Mobile Health and mHealth Applications (5 papers). Nuno Pimenta is often cited by papers focused on Nutrition and Health in Aging (8 papers), Body Composition Measurement Techniques (7 papers) and Mobile Health and mHealth Applications (5 papers). Nuno Pimenta collaborates with scholars based in Portugal, United States and Finland. Nuno Pimenta's co-authors include Luís B. Sardinha, Santa Clara, Xavier Melo, Bo Fernhall, Antti Mäkitie, Teresa Santos, Paula Ravasco, Manuel Luís Capelas, Cláudia S. Minderico and Diana A. Santos and has published in prestigious journals such as Nutrients, Frontiers in Psychology and Physiology & Behavior.

In The Last Decade

Nuno Pimenta

28 papers receiving 309 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Nuno Pimenta Portugal 11 123 92 67 41 36 30 315
Helen Sheriff United States 11 81 0.7× 222 2.4× 61 0.9× 32 0.8× 66 1.8× 28 397
Joanna Lewek Poland 13 53 0.4× 184 2.0× 34 0.5× 24 0.6× 27 0.8× 38 447
Moriah P. Bellissimo United States 10 113 0.9× 42 0.5× 40 0.6× 43 1.0× 34 0.9× 23 285
Gonzalo Saco‐Ledo Spain 12 92 0.7× 132 1.4× 20 0.3× 31 0.8× 78 2.2× 21 331
Donald G. Fitzpatrick Canada 6 290 2.4× 44 0.5× 75 1.1× 87 2.1× 13 0.4× 9 490
Dick Thijssen Netherlands 4 161 1.3× 63 0.7× 67 1.0× 42 1.0× 56 1.6× 4 296
Eunme Cha United States 10 61 0.5× 127 1.4× 64 1.0× 46 1.1× 24 0.7× 15 425
Neeta Kumar India 9 50 0.4× 98 1.1× 44 0.7× 21 0.5× 32 0.9× 26 406
William Boyer United States 9 148 1.2× 72 0.8× 74 1.1× 25 0.6× 61 1.7× 33 289
Warner Mampuya Canada 9 136 1.1× 283 3.1× 52 0.8× 24 0.6× 86 2.4× 20 587

Countries citing papers authored by Nuno Pimenta

Since Specialization
Citations

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

Fields of papers citing papers by Nuno Pimenta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nuno Pimenta

This figure shows the co-authorship network connecting the top 25 collaborators of Nuno Pimenta. A scholar is included among the top collaborators of Nuno Pimenta 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 Nuno Pimenta. Nuno Pimenta 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
1.
Capelas, Manuel Luís, et al.. (2025). Body Composition Analysis in Metastatic Non-Small-Cell Lung Cancer: Depicting Sarcopenia in Portuguese Tertiary Care. Cancers. 17(3). 539–539. 1 indexed citations
2.
Capelas, Manuel Luís, et al.. (2025). A Systematic Review of Vitamin D Supplementation in Oncology: Chance of Science or Effectiveness?. Nutrients. 17(4). 634–634. 1 indexed citations
3.
4.
Capelas, Manuel Luís, et al.. (2024). The impact of pre-, pro- and synbiotics supplementation in colorectal cancer treatment: a systematic review. Frontiers in Oncology. 14. 1395966–1395966. 10 indexed citations
5.
Capelas, Manuel Luís, et al.. (2023). Bioelectrical Impedance Analysis (BIA) for the Assessment of Body Composition in Oncology: A Scoping Review. Nutrients. 15(22). 4792–4792. 38 indexed citations
6.
Pimenta, Nuno, et al.. (2023). Bioelectrical Impedance Analysis For The Assessment Of Body Composition In Oncology: A Scoping Review. Clinical Nutrition ESPEN. 54. 591–591.
7.
8.
Pimenta, Nuno, et al.. (2023). Interoperability of Clinical Data through FHIR: A review. Procedia Computer Science. 220. 856–861. 9 indexed citations
9.
10.
Martins, Alexandre Duarte, Rafael Oliveira, João Paulo Brito, et al.. (2021). Phase angle cutoff value as a marker of the health status and functional capacity in breast cancer survivors. Physiology & Behavior. 235. 113400–113400. 21 indexed citations
11.
Capelas, Manuel Luís, et al.. (2021). Protein intake and muscle mass maintenance in patients with cancer types with high prevalence of sarcopenia: a systematic review. Supportive Care in Cancer. 30(4). 3007–3015. 36 indexed citations
12.
Martins, Alexandre Duarte, João Paulo Brito, Rafael Oliveira, et al.. (2021). Relationship between Heart Rate Variability and Functional Fitness in Breast Cancer Survivors: A Cross-Sectional Study. Healthcare. 9(9). 1205–1205. 4 indexed citations
13.
Guerreiro, Mara Pereira, Afonso Cavaco, Ana Paula Cláudio, et al.. (2019). Development of a Complex Intervention to Improve Adherence to Antidiabetic Medication in Older People Using an Anthropomorphic Virtual Assistant Software. Frontiers in Pharmacology. 10. 680–680. 18 indexed citations
14.
Pimenta, Nuno, Santa Clara, Xavier Melo, et al.. (2015). Waist-to-Hip Ratio is Related to Body Fat Content and Distribution Regardless of the Waist Circumference Measurement Protocol in Nonalcoholic Fatty Liver Disease Patients. International Journal of Sport Nutrition and Exercise Metabolism. 26(4). 307–314. 12 indexed citations
15.
Melo, Xavier, Santa Clara, Diana A. Santos, et al.. (2015). Independent Association of Muscular Strength and Carotid Intima-Media Thickness in Children. International Journal of Sports Medicine. 36(8). 624–630. 19 indexed citations
16.
Pimenta, Nuno, et al.. (2015). Finding the Best Waist Circumference Measurement Protocol in Patients With Nonalcoholic Fatty Liver Disease. Nutrition in Clinical Practice. 30(4). 537–545. 3 indexed citations
17.
Melo, Xavier, Santa Clara, Nuno Pimenta, et al.. (2014). Intima-Media Thickness in 11- to 13-Year-Old Children: Variation Attributed to Sedentary Behavior, Physical Activity, Cardiorespiratory Fitness, and Waist Circumference. Journal of Physical Activity and Health. 12(5). 610–617. 17 indexed citations
18.
Pimenta, Nuno, Santa Clara, Helena Cortez‐Pinto, et al.. (2013). Body composition and body fat distribution are related to cardiac autonomic control in non-alcoholic fatty liver disease patients. European Journal of Clinical Nutrition. 68(2). 241–246. 9 indexed citations
19.
Melo, Xavier, Santa Clara, Nuno Pimenta, et al.. (2013). Body composition phenotypes and carotid intima-media thickness in 11–13-year-old children. European Journal of Pediatrics. 173(3). 345–352. 17 indexed citations
20.
Pimenta, Nuno, et al.. (2013). Body fat responses to a 1‐year combined exercise training program in male coronary artery disease patients. Obesity. 21(4). 723–730. 17 indexed citations

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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