Fernanda Rosa

646 total citations · 1 hit paper
32 papers, 443 citations indexed

About

Fernanda Rosa is a scholar working on Nutrition and Dietetics, Molecular Biology and Agronomy and Crop Science. According to data from OpenAlex, Fernanda Rosa has authored 32 papers receiving a total of 443 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Nutrition and Dietetics, 12 papers in Molecular Biology and 12 papers in Agronomy and Crop Science. Recurrent topics in Fernanda Rosa's work include Infant Nutrition and Health (11 papers), Ruminant Nutrition and Digestive Physiology (7 papers) and Animal health and immunology (4 papers). Fernanda Rosa is often cited by papers focused on Infant Nutrition and Health (11 papers), Ruminant Nutrition and Digestive Physiology (7 papers) and Animal health and immunology (4 papers). Fernanda Rosa collaborates with scholars based in United States, Italy and Brazil. Fernanda Rosa's co-authors include Laxmi Yeruva, Ahmed A. Elolimy, Katelin S. Matazel, Daniel Munblit, J. S. Osorio, Erminio Trevisi, Massimo Bionaz, Juan J. Loor, Eduardo Schmitt and Sebastiano Busato and has published in prestigious journals such as PLoS ONE, Journal of Nutrition and Frontiers in Immunology.

In The Last Decade

Fernanda Rosa

28 papers receiving 439 citations

Hit Papers

Role of Human Milk Bioactives on Infants' Gut and Immune ... 2021 2026 2022 2024 2021 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fernanda Rosa United States 11 203 131 109 106 72 32 443
Kelly M. Arganbright United States 7 409 2.0× 205 1.6× 78 0.7× 29 0.3× 48 0.7× 8 640
Quentin L. Sciascia Germany 11 53 0.3× 103 0.8× 39 0.4× 99 0.9× 76 1.1× 27 398
L.A. García-Pardo Spain 12 331 1.6× 251 1.9× 78 0.7× 131 1.2× 112 1.6× 19 592
Lena Martin Germany 8 285 1.4× 156 1.2× 45 0.4× 22 0.2× 29 0.4× 9 524
Ester Arévalo Sureda Belgium 8 123 0.6× 118 0.9× 32 0.3× 10 0.1× 49 0.7× 25 335
Mariya Gryaznova Russia 12 44 0.2× 304 2.3× 66 0.6× 32 0.3× 55 0.8× 34 505
Mehri Zareie Canada 11 73 0.4× 336 2.6× 46 0.4× 18 0.2× 104 1.4× 11 727
Hao Ye China 11 93 0.5× 220 1.7× 19 0.2× 33 0.3× 34 0.5× 24 385
Malene M. Birck Denmark 12 112 0.6× 80 0.6× 89 0.8× 7 0.1× 31 0.4× 21 374
Jianbo Zhang China 9 27 0.1× 138 1.1× 136 1.2× 234 2.2× 46 0.6× 36 485

Countries citing papers authored by Fernanda Rosa

Since Specialization
Citations

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

Fields of papers citing papers by Fernanda Rosa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fernanda Rosa

This figure shows the co-authorship network connecting the top 25 collaborators of Fernanda Rosa. A scholar is included among the top collaborators of Fernanda Rosa 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 Fernanda Rosa. Fernanda Rosa 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.
Davis, Erin C., Manoj Gurung, Fernanda Rosa, et al.. (2024). Infant Microbiota Communities and Human Milk Oligosaccharide Supplementation Independently and Synergistically Shape Metabolite Production and Immune Responses in Healthy Mice. Journal of Nutrition. 154(9). 2871–2886. 4 indexed citations
3.
Elolimy, Ahmed A., Fernanda Rosa, Mohamed Zeineldin, et al.. (2022). Bacterial and Fungal Adaptations in Cecum and Distal Colon of Piglets Fed With Dairy-Based Milk Formula in Comparison With Human Milk. Frontiers in Microbiology. 13. 801854–801854. 2 indexed citations
4.
Rosa, Fernanda, et al.. (2021). Role of Human Milk Bioactives on Infants' Gut and Immune Health. Frontiers in Immunology. 12. 604080–604080. 188 indexed citations breakdown →
6.
Rosa, Fernanda, Katelin S. Matazel, Anne K. Bowlin, et al.. (2020). Neonatal Diet Impacts the Large Intestine Luminal Metabolome at Weaning and Post-Weaning in Piglets Fed Formula or Human Milk. Frontiers in Immunology. 11. 607609–607609. 5 indexed citations
7.
Rosa, Fernanda, et al.. (2020). Short communication: Molecular markers for epithelial cells across gastrointestinal tissues and fecal RNA in preweaning dairy calves. Journal of Dairy Science. 104(1). 1175–1182. 5 indexed citations
8.
Rosa, Fernanda, Kelly E. Mercer, Clark Sims, et al.. (2020). Early Infant Formula Feeding Impacts Urinary Metabolite Profile at 3 Months of Age. Nutrients. 12(11). 3552–3552. 5 indexed citations
9.
Rosa, Fernanda, et al.. (2019). Technical note: A novel approach to estimate dry matter intake of lactating dairy cows through multiple on-cow accelerometers. Journal of Dairy Science. 102(12). 11483–11490. 10 indexed citations
10.
Rosa, Fernanda, et al.. (2019). Altered rumen fermentation patterns in lactating dairy cows supplemented with phytochemicals improve milk production and efficiency. Journal of Dairy Science. 103(1). 301–312. 33 indexed citations
11.
Rosa, Fernanda, et al.. (2018). Cuidados Paliativos em Cardiologia. Tempus Actas de Saúde Coletiva. 12(1). 1 indexed citations
12.
13.
14.
Xu, Tianle, F.C. Cardoso, Erminio Trevisi, et al.. (2017). Grain challenge affects systemic and hepatic molecular biomarkers of inflammation, stress, and metabolic responses to a greater extent in Holstein than Jersey cows. Journal of Dairy Science. 100(11). 9153–9162. 18 indexed citations
15.
Hosseini, Afshin, Fernanda Rosa, Zeeshan Iqbal, et al.. (2015). Insulin Sensitivity in Adipose and Skeletal Muscle Tissue of Dairy Cows in Response to Dietary Energy Level and 2,4-Thiazolidinedione (TZD). PLoS ONE. 10(11). e0142633–e0142633. 21 indexed citations
16.
Jacometo, Carolina Bespalhok, Eduardo Schmitt, Luiz Francisco Machado Pfeifer, et al.. (2014). Linoleic and α-linolenic fatty acid consumption over three generations exert cumulative regulation of hepatic expression of genes related to lipid metabolism. Genes & Nutrition. 9(4). 405–405. 22 indexed citations
17.
Rosa, Fernanda, et al.. (2006). Contaminação parasitária por fezes de canídeos no concelho de Peniche: dados preliminares. Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT).
18.
Rosa, Fernanda, et al.. (2006). Contaminação fecal por parasitas de canídeos da vila de Azambuja. Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT).
19.
Rosa, Fernanda, et al.. (2006). Contaminação parasitária por fezes de canídeos em áreas urbanas e não urbanas do concelho de Alcobaça – dados preliminares. Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT). 1 indexed citations
20.
Rosa, Fernanda, et al.. (2006). Intestinal parasites in dogs from the Center-west of Portugal. Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT).

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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