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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

Uploaded publications:
5
Publications in DEA:
5
OA:
4
Date range:
2022-2024
2024
  1. Baranyi, J., Pacza, T., Martins, M., Thakkar, S., Samuel, T.: Modelling the temporal trajectories of human milk components.
    BMC Pregnancy Childbirth. 24 (1), 1-13, 2024.
    Journal metrics:
    Q1 Obstetrics and Gynecology (2023)
2023
  1. Pereira, L., Lopes, C., Martins, M., De, F., Di, P., de, M., De, A., De, A., Vieira, F.: How Brazilian Schoolchildren Identify, Classify, and Label Foods and Beverages - A Card Sorting Methodology.
    Int. J. Environ. Res. Public Health. 20 (2), 1-13, 2023.
    Journal metrics:
    Q2 Health, Toxicology and Mutagenesis
    Q2 Pollution
    Q2 Public Health, Environmental and Occupational Health
  2. Pacza, T., Martins, M., Müller, K., 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
  1. Martins, M., Pacza, T., Müller, K., 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
  2. Pacza, T., Martins, M., Rockaya, M., Müller, K., Chatterjee, A., Barabási, A., 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
updated: 2025-01-21, 01:20

SCImago quartiles of
scientific journal articles

Number of scientific articles: 4
Q1/D1 2 (50%)
Q1 3 (75%)
Q2 1 (25%)
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SCImago subject areas and categories

Medicine (2)
Obstetrics and Gynecology (1)
Public Health, Environmental and Occupational Health (1)
Agricultural and Biological Sciences (1)
Food Science (1)
Chemistry (1)
Chemistry (miscellaneous) (1)
Computer Science (1)
Computer Science Applications (1)
Information Systems (1)
Decision Sciences (1)
Statistics, Probability and Uncertainty (1)
Engineering (1)
Industrial and Manufacturing Engineering (1)
Environmental Science (1)
Health, Toxicology and Mutagenesis (1)
Pollution (1)
Mathematics (1)
Statistics and Probability (1)
Social Sciences (1)
Education (1)
Library and Information Sciences (1)

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Other co-authors

Müller Katalin Eszter
Barabási Albert-László
De Andrade, Dalton Francisco
De Assis, Maria Alice Altenburg
Show more
Müller Katalin Eszter
Barabási Albert-László
De Andrade, Dalton Francisco
De Assis, Maria Alice Altenburg
De Fragas Hinnig, Patrícia
de Moura Araujo, Pedro Henrique
Di Pietro, Patricia Faria
Lopes, Clarice Perucchi
Pereira, Luciana Jeremias
Vieira, Francilene Gracieli Kunradi