EN HU

Lopes Martins Mayara

Publication list

2024
1.
Baranyi, J., Pacza, T., Martins, M. L., Thakkar, S. K., Samuel, T. M.: Modelling the temporal trajectories of human milk components.
BMC Pregnancy Childbirth. 24 (1), 1-13, (article identifier: 739), 2024.
Journal metrics:
Q1 Obstetrics and Gynecology (2023)
2023
2.
Pereira, L. J., Lopes, C. P., Martins, M. L., De, F. H. P., Di, P. P. F., de, M. A. P. H., De, A. D. F., De, A. M. A. A., Vieira, F. G. K.: How Brazilian Schoolchildren Identify, Classify, and Label Foods and Beverages - A Card Sorting Methodology.
Int. J. Environ. Res. Public Health. 20 (2), 1-13, (article identifier: 1296), 2023.
Journal metrics:
Q2 Health, Toxicology and Mutagenesis
Q2 Pollution
Q2 Public Health, Environmental and Occupational Health
3.
Pacza, T., Martins, M. L., Müller, K. E., Baranyi, J.: MilkyBase- A Database for Molecular-Level Mapping of the Composition of the Human Milk.
In: International Milk Genomic Consortium : IMGC HYBRID Symposium 2023, IMGC, Cork, 1, 2023.
2022
4.
Martins, M. L., Pacza, T., Müller, K. E., Baranyi, J.: A computational approach to nutrition science reveals the dynamics of the protein content of human milk.
Innovative Food Science & Emerging Technologies. 82, 1-5, 2022.
Journal metrics:
Q1 Chemistry (miscellaneous)
D1 Food Science
Q1 Industrial and Manufacturing Engineering
5.
Pacza, T., Martins, M. L., Rockaya, M., Müller, K. E., Chatterjee, A., Barabási, A. L., Baranyi, J.: MilkyBase, a database of human milk composition as a function of maternal-, infant- and measurement conditions.
Sci Data. 9 (1), 1-7, 2022.
Journal metrics:
D1 Computer Science Applications
D1 Education
D1 Information Systems
D1 Library and Information Sciences
D1 Statistics and Probability
D1 Statistics, Probability and Uncertainty
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