Manuel J. Aybar

2.5k total citations
52 papers, 2.0k citations indexed

About

Manuel J. Aybar is a scholar working on Molecular Biology, Genetics and Biomedical Engineering. According to data from OpenAlex, Manuel J. Aybar has authored 52 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Molecular Biology, 9 papers in Genetics and 6 papers in Biomedical Engineering. Recurrent topics in Manuel J. Aybar's work include Developmental Biology and Gene Regulation (18 papers), Hedgehog Signaling Pathway Studies (10 papers) and Enzyme Catalysis and Immobilization (7 papers). Manuel J. Aybar is often cited by papers focused on Developmental Biology and Gene Regulation (18 papers), Hedgehog Signaling Pathway Studies (10 papers) and Enzyme Catalysis and Immobilization (7 papers). Manuel J. Aybar collaborates with scholars based in Argentina, Chile and Spain. Manuel J. Aybar's co-authors include Roberto Mayor, Celeste Tríbulo, Sara S. Sánchez, Guillermo A. Vega‐López, Alicia N. Sánchez Riera, Stella M. Honoré, M. Ángela Nieto, Santiago Cerrizuela, Alfredo Grau and Mary C. Mullins and has published in prestigious journals such as Journal of Molecular Biology, Development and Biochemical and Biophysical Research Communications.

In The Last Decade

Manuel J. Aybar

51 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Manuel J. Aybar Argentina 21 1.4k 400 199 151 148 52 2.0k
Yun Feng China 19 1.5k 1.1× 304 0.8× 152 0.8× 81 0.5× 218 1.5× 40 2.3k
Sara Neuman Israel 11 1.5k 1.1× 232 0.6× 188 0.9× 131 0.9× 66 0.4× 18 2.2k
Dirk Prawitt Germany 26 1.2k 0.8× 579 1.4× 70 0.4× 86 0.6× 147 1.0× 49 2.0k
Buel D. Rodgers United States 29 1.7k 1.2× 463 1.2× 222 1.1× 447 3.0× 112 0.8× 61 2.8k
Kentaro Yomogida Japan 30 1.7k 1.2× 869 2.2× 258 1.3× 48 0.3× 159 1.1× 56 3.0k
Roger Vranckx France 28 807 0.6× 611 1.5× 167 0.8× 248 1.6× 197 1.3× 87 2.5k
Myung K. Shin United States 21 744 0.5× 268 0.7× 253 1.3× 43 0.3× 126 0.9× 33 1.6k
Takahisa Yamada Japan 21 614 0.4× 483 1.2× 102 0.5× 160 1.1× 152 1.0× 177 1.7k
Antonios Matsakas United Kingdom 24 1.0k 0.7× 199 0.5× 326 1.6× 79 0.5× 59 0.4× 60 1.6k
Virginio García‐Martínez Spain 26 1.6k 1.1× 402 1.0× 154 0.8× 43 0.3× 198 1.3× 79 2.5k

Countries citing papers authored by Manuel J. Aybar

Since Specialization
Citations

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

Fields of papers citing papers by Manuel J. Aybar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Manuel J. Aybar. 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 Manuel J. Aybar. The network helps show where Manuel J. Aybar may publish in the future.

Co-authorship network of co-authors of Manuel J. Aybar

This figure shows the co-authorship network connecting the top 25 collaborators of Manuel J. Aybar. A scholar is included among the top collaborators of Manuel J. Aybar 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 Manuel J. Aybar. Manuel J. Aybar 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.
2.
Fernández, Pablo M., et al.. (2022). Bioconversion of commercial and crude glycerol to single-cell oils by the Antarctic yeast Rhodotorula glutinis R4 as a biodiesel feedstock. Biocatalysis and Agricultural Biotechnology. 47. 102544–102544. 4 indexed citations
3.
Aybar, Manuel J., et al.. (2021). Geoffroea decorticans fruit extracts inhibit the wnt/β-catenin pathway, a therapeutic target in cancer. Biochemical and Biophysical Research Communications. 546. 118–123. 2 indexed citations
4.
Viñarta, Silvana C., et al.. (2021). Rhodotorula glutinis T13 as a potential source of microbial lipids for biodiesel generation. Journal of Biotechnology. 331. 14–18. 25 indexed citations
5.
Viñarta, Silvana C., et al.. (2020). Growth and lipid production of Rhodotorula glutinis R4, in comparison to other oleaginous yeasts. Journal of Biotechnology. 310. 21–31. 62 indexed citations
6.
Vega‐López, Guillermo A., et al.. (2020). Neurogenesis From Neural Crest Cells: Molecular Mechanisms in the Formation of Cranial Nerves and Ganglia. Frontiers in Cell and Developmental Biology. 8. 635–635. 42 indexed citations
7.
Aybar, Manuel J., et al.. (2018). Molecular characterization of wdr68 gene in embryonic development of Xenopus laevis. Gene Expression Patterns. 30. 55–63. 3 indexed citations
8.
Vega‐López, Guillermo A., Santiago Cerrizuela, Celeste Tríbulo, & Manuel J. Aybar. (2018). Neurocristopathies: New insights 150 years after the neural crest discovery. Developmental Biology. 444. S110–S143. 124 indexed citations
9.
Vega‐López, Guillermo A., Santiago Cerrizuela, & Manuel J. Aybar. (2017). Trunk neural crest cells: formation, migration and beyond. The International Journal of Developmental Biology. 61(1-2). 5–15. 48 indexed citations
10.
Aybar, Manuel J., et al.. (2014). Two different vestigial like 4 genes are differentially expressed during Xenopus laevis development. The International Journal of Developmental Biology. 58(5). 369–377. 7 indexed citations
11.
Agüero, Tristan, Juan Pablo Fernández, Guillermo A. Vega‐López, Celeste Tríbulo, & Manuel J. Aybar. (2012). Indian hedgehog signaling is required for proper formation, maintenance and migration of Xenopus neural crest. Developmental Biology. 364(2). 99–113. 16 indexed citations
12.
Tríbulo, Celeste, Jaime De Calisto, Lorena Marchant, et al.. (2008). A new role for the Endothelin-1/Endothelin-A receptor signaling during early neural crest specification. Developmental Biology. 323(1). 114–129. 58 indexed citations
13.
Armas, Pablo, et al.. (2008). Dissecting CNBP, a Zinc-Finger Protein Required for Neural Crest Development, in Its Structural and Functional Domains. Journal of Molecular Biology. 382(4). 1043–1056. 27 indexed citations
14.
Tríbulo, Celeste, Manuel J. Aybar, & Sara S. Sánchez. (2007). A dominant negative form of p63 is regulated by BMP4 and participates in Xenopus epidermis development. Developmental Biology. 306(1). 368–368. 1 indexed citations
15.
Tríbulo, Celeste, Manuel J. Aybar, Sara S. Sánchez, & Roberto Mayor. (2004). A balance between the anti-apoptotic activity of Slug and the apoptotic activity of msx1 is required for the proper development of the neural crest. Developmental Biology. 275(2). 325–342. 80 indexed citations
16.
Honoré, Stella M., Manuel J. Aybar, & Roberto Mayor. (2003). Sox10 is required for the early development of the prospective neural crest in Xenopus embryos. Developmental Biology. 260(1). 79–96. 189 indexed citations
17.
Aybar, Manuel J., Álvaro Glavic, & Roberto Mayor. (2002). Extracellular signals, cell interactions and transcription factors involved in the induction of the neural crest cells. Biological Research. 35(2). 267–75. 20 indexed citations
18.
Grau, Alfredo, et al.. (2001). El retorno del Yacón. Ciencia hoy. 11(63). 24–32. 3 indexed citations
19.
Mayor, Roberto & Manuel J. Aybar. (2001). Induction and development of neural crest in Xenopus laevis. Cell and Tissue Research. 305(2). 203–209. 67 indexed citations
20.
Sánchez, Sara S., et al.. (2000). CHANGES IN THE EXPRESSION OF SMALL INTESTINE EXTRACELLULAR MATRIX PROTEINS IN STREPTOZOTOCIN‐INDUCED DIABETIC RATS. Cell Biology International. 24(12). 881–888. 17 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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