Melissa R. Mazzo

831 total citations · 1 hit paper
7 papers, 627 citations indexed

About

Melissa R. Mazzo is a scholar working on Cognitive Neuroscience, Physiology and Biomedical Engineering. According to data from OpenAlex, Melissa R. Mazzo has authored 7 papers receiving a total of 627 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cognitive Neuroscience, 2 papers in Physiology and 2 papers in Biomedical Engineering. Recurrent topics in Melissa R. Mazzo's work include Motor Control and Adaptation (3 papers), Muscle activation and electromyography studies (2 papers) and Meta-analysis and systematic reviews (1 paper). Melissa R. Mazzo is often cited by papers focused on Motor Control and Adaptation (3 papers), Muscle activation and electromyography studies (2 papers) and Meta-analysis and systematic reviews (1 paper). Melissa R. Mazzo collaborates with scholars based in United States, Italy and Canada. Melissa R. Mazzo's co-authors include Douglas R. Seals, Michel Chonchol, Christopher R. Martens, Matthew B. McQueen, Michael Armstrong, Nichole Reisdorph, Brian P. Ziemba, Sarah Johnson, Courtney M. Peterson and Erzsébet Nagy and has published in prestigious journals such as Nature Communications, The Journal of Physiology and Journal of Neurophysiology.

In The Last Decade

Melissa R. Mazzo

7 papers receiving 613 citations

Hit Papers

Chronic nicotinamide riboside supplementation is well-tol... 2018 2026 2020 2023 2018 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Melissa R. Mazzo United States 6 252 203 130 119 113 7 627
Emilie Dalbram Denmark 10 360 1.4× 26 0.1× 192 1.5× 10 0.1× 14 0.1× 10 558
Insu Kwon United States 14 211 0.8× 36 0.2× 145 1.1× 13 0.1× 22 0.2× 30 540
Sophia Raefsky United States 9 215 0.9× 39 0.2× 193 1.5× 9 0.1× 8 0.1× 13 546
Jiling Liang China 14 396 1.6× 37 0.2× 259 2.0× 8 0.1× 8 0.1× 23 638
Michele De Mari Italy 24 247 1.0× 76 0.4× 272 2.1× 13 0.1× 13 0.1× 47 1.6k
Daniel Beiroa Spain 16 511 2.0× 45 0.2× 344 2.6× 8 0.1× 20 0.2× 30 1.1k
Miren Revuelta Spain 14 98 0.4× 33 0.2× 177 1.4× 8 0.1× 4 0.0× 25 672
Ehsan Dehdashtian Iran 10 101 0.4× 14 0.1× 114 0.9× 12 0.1× 8 0.1× 15 484
Xiaoli Fan China 14 108 0.4× 24 0.1× 147 1.1× 11 0.1× 9 0.1× 54 550
Do Kyeong Song South Korea 14 185 0.7× 22 0.1× 130 1.0× 15 0.1× 13 0.1× 31 742

Countries citing papers authored by Melissa R. Mazzo

Since Specialization
Citations

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

Fields of papers citing papers by Melissa R. Mazzo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Melissa R. Mazzo. 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 Melissa R. Mazzo. The network helps show where Melissa R. Mazzo may publish in the future.

Co-authorship network of co-authors of Melissa R. Mazzo

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

All Works

7 of 7 papers shown
1.
Vecchio, Alessandro Del, et al.. (2024). Motor unit modes in the calf muscles during a submaximal isometric contraction are changed by brief stretches. The Journal of Physiology. 602(7). 1385–1404. 9 indexed citations
2.
Mazzo, Melissa R., et al.. (2022). Rethinking the Statistical Analysis of Neuromechanical Data. Exercise and Sport Sciences Reviews. 51(1). 43–50. 27 indexed citations
3.
Mazzo, Melissa R., et al.. (2021). Changes in neural drive to calf muscles during steady submaximal contractions after repeated static stretches. The Journal of Physiology. 599(18). 4321–4336. 17 indexed citations
4.
Martens, Christopher R., Matthew J. Rossman, Melissa R. Mazzo, et al.. (2020). Short-term time-restricted feeding is safe and feasible in non-obese healthy midlife and older adults. GeroScience. 42(2). 667–686. 130 indexed citations
5.
Martens, Christopher R., Melissa R. Mazzo, Michael Armstrong, et al.. (2018). Chronic nicotinamide riboside supplementation is well-tolerated and elevates NAD+ in healthy middle-aged and older adults. Nature Communications. 9(1). 425 indexed citations breakdown →
6.
Mazzo, Melissa R., et al.. (2018). Poor estimates of motor variability are associated with longer grooved pegboard times for middle-aged and older adults. Journal of Neurophysiology. 121(2). 588–601. 17 indexed citations
7.
Martens, Christopher R., Melissa R. Mazzo, Michael Armstrong, et al.. (2017). NAA1 NICOTINAMIDE RIBOSIDE SUPPLEMENTATION REDUCES AORTIC STIFFNESS AND BLOOD PRESSURE IN MIDDLE-AGED AND OLDER ADULTS. Artery Research. 20(C). 49–49. 2 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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