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Lopes Martins Mayara

Name: Lopes Martins Mayara
Affiliation:
  • Debreceni Egyetem. Orvostudományi Doktori Tanács. Táplálkozás- és Élelmiszertudományi Doktori Iskola. Táplálkozástudományi Doktori Program / University of Debrecen. Doctoral Council of Medical Sciences. Doctoral School of Nutrition and Food Sciences
  • Debreceni Egyetem. Mezőgazdaság-, Élelmiszertudományi és Környezetgazdálkodási Kar. Táplálkozástudományi Intézet / University of Debrecen. Faculty of Agricultural and Food Sciences and Environmental Management. Institute of Nutrition
Other profiles: MTMT

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
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, (article identifier: 103167), 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, (article identifier: 557), 2022.
Journal metrics:
D1 Computer Science Applications
D1 Education
D1 Library and Information Sciences
D1 Information Systems
D1 Statistics and Probability
D1 Statistics, Probability and Uncertainty
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