Pere Cavallé

1.7k total citations
21 papers, 325 citations indexed

About

Pere Cavallé is a scholar working on Obstetrics and Gynecology, Pediatrics, Perinatology and Child Health and Rheumatology. According to data from OpenAlex, Pere Cavallé has authored 21 papers receiving a total of 325 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Obstetrics and Gynecology, 9 papers in Pediatrics, Perinatology and Child Health and 7 papers in Rheumatology. Recurrent topics in Pere Cavallé's work include Folate and B Vitamins Research (7 papers), Gestational Diabetes Research and Management (7 papers) and Pregnancy and preeclampsia studies (4 papers). Pere Cavallé is often cited by papers focused on Folate and B Vitamins Research (7 papers), Gestational Diabetes Research and Management (7 papers) and Pregnancy and preeclampsia studies (4 papers). Pere Cavallé collaborates with scholars based in Spain, Norway and United States. Pere Cavallé's co-authors include Michelle M. Murphy, Victoria Arija, Joan Fernández‐Ballart, Carmen Hernández‐Martínez, Josefa Canals, Teresa Sans, Mónica Ballesteros, Pol Solé-Navais, Per Magne Ueland and Albert Balaguer and has published in prestigious journals such as American Journal of Clinical Nutrition, Nutrients and Journal of Affective Disorders.

In The Last Decade

Pere Cavallé

20 papers receiving 314 citations

Peers

Pere Cavallé
Ibrahim Zaganjor United States
Ailish M. Hayes United States
Karen O’Brien United States
Janet Janbek Denmark
L McGlone United Kingdom
Ibrahim Zaganjor United States
Pere Cavallé
Citations per year, relative to Pere Cavallé Pere Cavallé (= 1×) peers Ibrahim Zaganjor

Countries citing papers authored by Pere Cavallé

Since Specialization
Citations

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

Fields of papers citing papers by Pere Cavallé

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pere Cavallé. 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 Pere Cavallé. The network helps show where Pere Cavallé may publish in the future.

Co-authorship network of co-authors of Pere Cavallé

This figure shows the co-authorship network connecting the top 25 collaborators of Pere Cavallé. A scholar is included among the top collaborators of Pere Cavallé 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 Pere Cavallé. Pere Cavallé 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.
Rashwan, Hatem A., et al.. (2025). Interpretable deep neural networks for advancing early neonatal birth weight prediction using multimodal maternal factors. Journal of Biomedical Informatics. 166. 104838–104838. 2 indexed citations
2.
Rashwan, Hatem A., et al.. (2025). M-TabNet: A Transformer-Based Multi-Encoder for Early Neonatal Birth Weight Prediction Using Multimodal Data. IEEE Journal of Biomedical and Health Informatics. 30(2). 1642–1651.
3.
Rashwan, Hatem A., et al.. (2024). Maternal Nutritional Factors Enhance Birthweight Prediction: A Super Learner Ensemble Approach. Information. 15(11). 714–714. 3 indexed citations
4.
Leung, Kit‐Yi, Linda Hughes, Mari Ozaki, et al.. (2024). The Differential Translation Capabilities of the Human DHFR2 Gene Indicates a Developmental and Tissue-Specific Endogenous Protein of Low Abundance. Molecular & Cellular Proteomics. 23(3). 100718–100718. 2 indexed citations
5.
Cavallé, Pere, et al.. (2024). Folate and cobalamin status, indicators, modulators, interactions, and reference ranges from early pregnancy until birth: the Reus–Tarragona birth cohort study. American Journal of Clinical Nutrition. 120(5). 1269–1283. 1 indexed citations
6.
Solé-Navais, Pol, Pere Cavallé, Joan Fernández‐Ballart, et al.. (2022). Pregnancy homocysteine and cobalamin status predict childhood metabolic health in the offspring. Pediatric Research. 93(3). 633–642. 7 indexed citations
7.
Murphy, Michelle M., Núria Voltas, Pol Solé-Navais, et al.. (2021). A Prospective Study of Maternal Exposure to Smoking during Pregnancy and Behavioral Development in the Child. Journal of Child and Family Studies. 30(9). 2204–2214. 2 indexed citations
8.
Cavallé, Pere, Joan Fernández‐Ballart, Mónica Ballesteros, et al.. (2020). Moderately elevated first trimester fasting plasma total homocysteine is associated with increased probability of miscarriage. The Reus-Tarragona Birth Cohort Study. Biochimie. 173. 62–67. 5 indexed citations
9.
Murphy, Michelle M., Carmen Hernández‐Martínez, Pol Solé-Navais, et al.. (2019). The effect of prenatal smoke exposure on child neuropsychological function: a prospective mother–child cohort study. Journal of Reproductive and Infant Psychology. 38(1). 25–37. 8 indexed citations
10.
Solé-Navais, Pol, Pere Cavallé, Joan Fernández‐Ballart, et al.. (2018). Early pregnancy folate-cobalamin interactions and their effects on cobalamin status and hematologic variables throughout pregnancy. American Journal of Clinical Nutrition. 107(2). 173–182. 13 indexed citations
11.
Cavallé, Pere, Pol Solé-Navais, Joan Fernández‐Ballart, et al.. (2016). Maternal Folate Status and the BHMT c.716G>A Polymorphism Affect the Betaine Dimethylglycine Pathway during Pregnancy. Nutrients. 8(10). 621–621. 8 indexed citations
12.
Solé-Navais, Pol, Pere Cavallé, Joan Fernández‐Ballart, & Michelle M. Murphy. (2015). Early pregnancy B vitamin status, one carbon metabolism, pregnancy outcome and child development. Biochimie. 126. 91–96. 21 indexed citations
13.
Cavallé, Pere, et al.. (2013). Low folate status enhances pregnancy changes in plasma betaine and dimethylglycine concentrations and the association between betaine and homocysteine. American Journal of Clinical Nutrition. 97(6). 1252–1259. 33 indexed citations
14.
Aranda, Núria, Blanca Ribot, F. Viteri, Pere Cavallé, & Victoria Arija. (2012). Predictors of haemoconcentration at delivery: association with low birth weight. European Journal of Nutrition. 52(6). 1631–1639. 10 indexed citations
15.
Hernández‐Martínez, Carmen, Victoria Arija, Michelle M. Murphy, Pere Cavallé, & Josefa Canals. (2011). Relation Between Positive and Negative Maternal Emotional States and Obstetrical Outcomes. Women & Health. 51(2). 124–135. 34 indexed citations
16.
Sans, Teresa, Rocı́o Martı́n-Santos, Lluïsa García-Esteve, et al.. (2010). An association between plasma ferritin concentrations measured 48h after delivery and postpartum depression. Journal of Affective Disorders. 131(1-3). 136–142. 64 indexed citations
17.
Labad, Javier, Elisabet Vilella, Rebecca M. Reynolds, et al.. (2010). Increased morning adrenocorticotrophin hormone (ACTH) levels in women with postpartum thoughts of harming the infant. Psychoneuroendocrinology. 36(6). 924–928. 14 indexed citations
18.
Fernández‐Ballart, Joan, et al.. (2008). Association between blocking folate receptor autoantibodies and subfertility. Fertility and Sterility. 91(4). 1518–1521. 24 indexed citations
19.
Hernández‐Martínez, Carmen, Victoria Arija, Albert Balaguer, Pere Cavallé, & Josefa Canals. (2008). Do the emotional states of pregnant women affect neonatal behaviour?. Early Human Development. 84(11). 745–750. 35 indexed citations
20.
Joven, Jorge, et al.. (1994). Response to repeated phlebotomies in patients with non-insulin-dependent diabetes mellitus. Metabolism. 43(5). 614–620. 38 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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