Mariasole Da Boit

690 total citations
25 papers, 544 citations indexed

About

Mariasole Da Boit is a scholar working on Cell Biology, Physiology and Rehabilitation. According to data from OpenAlex, Mariasole Da Boit has authored 25 papers receiving a total of 544 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cell Biology, 10 papers in Physiology and 6 papers in Rehabilitation. Recurrent topics in Mariasole Da Boit's work include Muscle metabolism and nutrition (10 papers), Exercise and Physiological Responses (6 papers) and Phytochemicals and Antioxidant Activities (6 papers). Mariasole Da Boit is often cited by papers focused on Muscle metabolism and nutrition (10 papers), Exercise and Physiological Responses (6 papers) and Phytochemicals and Antioxidant Activities (6 papers). Mariasole Da Boit collaborates with scholars based in United Kingdom, Australia and United States. Mariasole Da Boit's co-authors include Stuart R. Gray, Arduino A. Mangoni, Judith R. Meakin, R.M. Aspden, Frank Thiès, Harprit Singh, Angus M. Hunter, Stephen J. Bailey, Stewart Jeromson and Selvaraj Sivasubramaniam and has published in prestigious journals such as PLoS ONE, American Journal of Clinical Nutrition and Scientific Reports.

In The Last Decade

Mariasole Da Boit

23 papers receiving 537 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mariasole Da Boit United Kingdom 11 256 175 96 92 83 25 544
Tyler M. Farney United States 17 234 0.9× 208 1.2× 66 0.7× 155 1.7× 46 0.6× 35 617
Lynn Cialdella‐Kam United States 13 169 0.7× 150 0.9× 115 1.2× 110 1.2× 58 0.7× 24 592
Łucja Pilaczyńska-Szczȩśniak Poland 16 231 0.9× 164 0.9× 99 1.0× 232 2.5× 100 1.2× 48 688
Justin R. Trombold United States 10 212 0.8× 177 1.0× 54 0.6× 217 2.4× 103 1.2× 11 608
Melani M. Schweder United States 8 241 0.9× 97 0.6× 56 0.6× 75 0.8× 52 0.6× 10 464
George Panayiotou Greece 13 244 1.0× 208 1.2× 76 0.8× 378 4.1× 120 1.4× 24 679
Koichiro Hamada Japan 16 245 1.0× 297 1.7× 137 1.4× 319 3.5× 104 1.3× 42 805
S Simbo United States 10 157 0.6× 155 0.9× 41 0.4× 117 1.3× 48 0.6× 34 485
Will KWH Wodzig Netherlands 7 385 1.5× 438 2.5× 162 1.7× 82 0.9× 77 0.9× 7 767
Gustavo Vieira de Oliveira Brazil 15 151 0.6× 94 0.5× 59 0.6× 44 0.5× 59 0.7× 54 549

Countries citing papers authored by Mariasole Da Boit

Since Specialization
Citations

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

Fields of papers citing papers by Mariasole Da Boit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mariasole Da Boit. 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 Mariasole Da Boit. The network helps show where Mariasole Da Boit may publish in the future.

Co-authorship network of co-authors of Mariasole Da Boit

This figure shows the co-authorship network connecting the top 25 collaborators of Mariasole Da Boit. A scholar is included among the top collaborators of Mariasole Da Boit 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 Mariasole Da Boit. Mariasole Da Boit 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.
Boit, Mariasole Da, et al.. (2025). Comparing 17β‐estradiol and progesterone concentrations in young, physically active females: Insights from plasma versus serum analysis. Experimental Physiology. 110(8). 1032–1037. 1 indexed citations
3.
Boit, Mariasole Da, et al.. (2025). Transforming gut health through Ramadan intermittent fasting: A review on metabolic and microbiomic insights. Clinical Nutrition ESPEN. 69. 115–130. 1 indexed citations
4.
Heaney, Liam M., et al.. (2023). Trimethylamine N-Oxide Concentration and Blood Pressure in Young Healthy Men and Women: A Replicated Crossover Study. Metabolites. 13(7). 876–876. 1 indexed citations
5.
Singh, Harprit, et al.. (2023). Anthocyanins and Vascular Health: A Matter of Metabolites. Foods. 12(9). 1796–1796. 24 indexed citations
6.
Sahota, Tarsem, et al.. (2023). Elderberry extract improves molecular markers of endothelial dysfunction linked to atherosclerosis. Food Science & Nutrition. 11(7). 4047–4059. 6 indexed citations
8.
Singh, Harprit, et al.. (2022). Elderberries as a potential supplement to improve vascular function in a SARS‐CoV ‐2 environment. Journal of Food Biochemistry. 46(11). e14091–e14091. 10 indexed citations
9.
Boit, Mariasole Da, et al.. (2021). Potential Benefits of Berry Anthocyanins on Vascular Function. Molecular Nutrition & Food Research. 65(19). e2100170–e2100170. 31 indexed citations
10.
11.
Carru, Ciriaco, Mariasole Da Boit, Panagiotis Paliogiannis, et al.. (2018). Markers of oxidative stress, skeletal muscle mass and function, and their responses to resistance exercise training in older adults. Experimental Gerontology. 103. 101–106. 11 indexed citations
12.
Tommasi, Sara, David J. Elliot, Mariasole Da Boit, et al.. (2018). Homoarginine and inhibition of human arginase activity: kinetic characterization and biological relevance. Scientific Reports. 8(1). 3697–3697. 44 indexed citations
13.
Boit, Mariasole Da, Sara Tommasi, David J. Elliot, et al.. (2017). Sex Differences in the Associations between L-Arginine Pathway Metabolites, Skeletal Muscle Mass and Function, and their Responses to Resistance Exercise, in Old Age. The journal of nutrition health & aging. 22(4). 534–540. 13 indexed citations
14.
Boit, Mariasole Da, Selvaraj Sivasubramaniam, Judith R. Meakin, et al.. (2016). Sex differences in the effect of fish-oil supplementation on the adaptive response to resistance exercise training in older people: a randomized controlled trial. American Journal of Clinical Nutrition. 105(1). 151–158. 150 indexed citations
15.
Boit, Mariasole Da, Judith R. Meakin, R.M. Aspden, et al.. (2016). Sex differences in the response to resistance exercise training in older people. Physiological Reports. 4(12). e12834–e12834. 62 indexed citations
16.
Boit, Mariasole Da, Angus M. Hunter, & Stuart R. Gray. (2016). Fit with good fat? The role of n-3 polyunsaturated fatty acids on exercise performance. Metabolism. 66. 45–54. 48 indexed citations
17.
Boit, Mariasole Da, et al.. (2015). The Effect of Krill Oil Supplementation on Exercise Performance and Markers of Immune Function. PLoS ONE. 10(9). e0139174–e0139174. 28 indexed citations
18.
Gray, Stuart R. & Mariasole Da Boit. (2013). FISH OILS AND THEIR POTENTIAL IN THE TREATMENT OF SARCOPENIA. The Journal of Frailty & Aging. 2(4). 1–6. 5 indexed citations
19.
Gray, Stuart R. & Mariasole Da Boit. (2013). Marine n-3 polyunsaturated fatty acids: a potential role in the treatment of sarcopenia. Clinical Lipidology. 8(2). 187–194. 4 indexed citations
20.
Michele, Rocco Di, Giorgio Gatta, Matteo Cortesi, et al.. (2011). Estimation of the Anaerobic Threshold from Heart Rate Variability in an Incremental Swimming Test. The Journal of Strength and Conditioning Research. 26(11). 3059–3066. 28 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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