F. Xavier Donadeu

3.1k total citations
71 papers, 2.4k citations indexed

About

F. Xavier Donadeu is a scholar working on Agronomy and Crop Science, Public Health, Environmental and Occupational Health and Molecular Biology. According to data from OpenAlex, F. Xavier Donadeu has authored 71 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Agronomy and Crop Science, 22 papers in Public Health, Environmental and Occupational Health and 21 papers in Molecular Biology. Recurrent topics in F. Xavier Donadeu's work include Reproductive Physiology in Livestock (25 papers), Reproductive Biology and Fertility (21 papers) and MicroRNA in disease regulation (18 papers). F. Xavier Donadeu is often cited by papers focused on Reproductive Physiology in Livestock (25 papers), Reproductive Biology and Fertility (21 papers) and MicroRNA in disease regulation (18 papers). F. Xavier Donadeu collaborates with scholars based in United Kingdom, United States and Saint Kitts and Nevis. F. Xavier Donadeu's co-authors include O.J. Ginther, Jason Ioannidis, Sadanand D. Sontakke, M.A. Beg, D.R. Bergfelt, Stephanie N. Schauer, Cristina L. Esteves, K. Kot, E.D. Watson and Mario Ascoli and has published in prestigious journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and Scientific Reports.

In The Last Decade

F. Xavier Donadeu

69 papers receiving 2.3k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
F. Xavier Donadeu 873 844 790 711 535 71 2.4k
G. W. Smith 1.7k 2.0× 471 0.6× 1.6k 2.0× 252 0.4× 1.0k 1.9× 66 3.2k
Dorota Bukowska 301 0.3× 816 1.0× 764 1.0× 239 0.3× 301 0.6× 167 1.8k
Toshio Inaba 610 0.7× 525 0.6× 552 0.7× 61 0.1× 470 0.9× 163 2.0k
Juliano Coelho da Silveira 330 0.4× 1.5k 1.7× 765 1.0× 670 0.9× 277 0.5× 113 2.4k
J. K. Findlay 1.0k 1.2× 820 1.0× 1.1k 1.3× 77 0.1× 756 1.4× 73 2.7k
Helen F. Irving‐Rodgers 443 0.5× 768 0.9× 1.2k 1.5× 187 0.3× 503 0.9× 54 2.2k
L. Bjersing 370 0.4× 534 0.6× 771 1.0× 241 0.3× 299 0.6× 61 1.9k
Helena T. A. van Tol 444 0.5× 842 1.0× 1.1k 1.4× 97 0.1× 472 0.9× 48 1.9k
Gerrit J. Bouma 180 0.2× 1.1k 1.3× 369 0.5× 505 0.7× 444 0.8× 73 1.8k
Dean H. Betts 98 0.1× 1.6k 2.0× 1.1k 1.4× 170 0.2× 567 1.1× 99 3.0k

Countries citing papers authored by F. Xavier Donadeu

Since Specialization
Citations

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

Fields of papers citing papers by F. Xavier Donadeu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by F. Xavier Donadeu. 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 F. Xavier Donadeu. The network helps show where F. Xavier Donadeu may publish in the future.

Co-authorship network of co-authors of F. Xavier Donadeu

This figure shows the co-authorship network connecting the top 25 collaborators of F. Xavier Donadeu. A scholar is included among the top collaborators of F. Xavier Donadeu 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 F. Xavier Donadeu. F. Xavier Donadeu 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.
Donadeu, F. Xavier, et al.. (2025). Dairy cow performance is associated with longitudinal microRNA profiles. PLoS ONE. 20(8). e0328765–e0328765. 1 indexed citations
2.
Ho, William, et al.. (2024). Derivation and long-term maintenance of porcine skeletal muscle progenitor cells. Scientific Reports. 14(1). 9370–9370. 2 indexed citations
3.
Banos, Georgios, et al.. (2023). Association of plasma miRNAs with early life performance and aging in dairy cattle. PLoS ONE. 18(7). e0288343–e0288343. 1 indexed citations
4.
Donadeu, F. Xavier, et al.. (2023). Equine Induced Pluripotent Stem Cell Culture. Methods in molecular biology. 2749. 175–184. 2 indexed citations
5.
Salavati, Mazdak, Michelle M. Halstead, Claire Stenhouse, et al.. (2021). Profiling of open chromatin in developing pig ( Sus scrofa ) muscle to identify regulatory regions. G3 Genes Genomes Genetics. 12(2). 14 indexed citations
6.
Watson, Elaine D., et al.. (2018). The Fate of Autologous Endometrial Mesenchymal Stromal Cells After Application in the Healthy Equine Uterus. Stem Cells and Development. 27(15). 1046–1052. 20 indexed citations
7.
Moore, Benjamin L., et al.. (2018). Generation of Functional Myocytes from Equine Induced Pluripotent Stem Cells. Cellular Reprogramming. 20(5). 275–281. 12 indexed citations
8.
Lisowski, Zofia M., et al.. (2018). Comparison of Antibacterial and Immunological Properties of Mesenchymal Stem/Stromal Cells from Equine Bone Marrow, Endometrium, and Adipose Tissue. Stem Cells and Development. 27(21). 1518–1525. 48 indexed citations
9.
Ioannidis, Jason, Enrique Sánchez-Molano, Androniki Psifidi, F. Xavier Donadeu, & Georgios Banos. (2018). Association of plasma microRNA expression with age, genetic background and functional traits in dairy cattle. Scientific Reports. 8(1). 12955–12955. 15 indexed citations
10.
Esteves, Cristina L., et al.. (2017). Equine Mesenchymal Stromal Cells Retain a Pericyte-Like Phenotype. Stem Cells and Development. 26(13). 964–972. 30 indexed citations
11.
Sontakke, Sadanand D., et al.. (2017). The Adequate Corpus Luteum: miR-96 Promotes Luteal Cell Survival and Progesterone Production. The Journal of Clinical Endocrinology & Metabolism. 102(7). 2188–2198. 40 indexed citations
12.
Ioannidis, Jason & F. Xavier Donadeu. (2016). Circulating microRNA Profiles during the Bovine Oestrous Cycle. PLoS ONE. 11(6). e0158160–e0158160. 38 indexed citations
13.
Donadeu, F. Xavier, et al.. (2016). A miRNA target network putatively involved in follicular atresia. Domestic Animal Endocrinology. 58. 76–83. 41 indexed citations
14.
Sharma, Ruchi, et al.. (2014). Generation of Functional Neurons from Feeder-Free, Keratinocyte-Derived Equine Induced Pluripotent Stem Cells. Stem Cells and Development. 23(13). 1524–1534. 37 indexed citations
15.
Esteves, Cristina L., et al.. (2013). Pro-Inflammatory Cytokine Induction of 11β-hydroxysteroid Dehydrogenase Type 1 in A549 Cells Requires Phosphorylation of C/EBPβ at Thr235. PLoS ONE. 8(9). e75874–e75874. 14 indexed citations
16.
Schauer, Stephanie N., Sadanand D. Sontakke, E.D. Watson, Cristina L. Esteves, & F. Xavier Donadeu. (2013). Involvement of miRNAs in equine follicle development. Reproduction. 146(3). 273–282. 64 indexed citations
17.
Sharma, Ruchi, et al.. (2012). Derivation and Characterization of Induced Pluripotent Stem Cells from Equine Fibroblasts. Stem Cells and Development. 22(4). 611–621. 68 indexed citations
18.
Hogg, Charis O, et al.. (2008). Seasonal effects on the response of ovarian follicles to IGF1 in mares. Reproduction. 136(5). 589–598. 10 indexed citations
19.
Gastal, E.L., M.O. Gastal, F. Xavier Donadeu, et al.. (2007). Temporal relationships among LH, estradiol, and follicle vascularization preceding the first compared with later ovulations during the year in mares. Animal Reproduction Science. 102(3-4). 314–321. 21 indexed citations
20.
Donadeu, F. Xavier & O.J. Ginther. (2002). Changes in Concentrations of Follicular Fluid Factors During Follicle Selection in Mares1. Biology of Reproduction. 66(4). 1111–1118. 87 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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