Marisol Fernández

537 total citations
10 papers, 313 citations indexed

About

Marisol Fernández is a scholar working on Molecular Biology, Pharmacology and Plant Science. According to data from OpenAlex, Marisol Fernández has authored 10 papers receiving a total of 313 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Pharmacology and 3 papers in Plant Science. Recurrent topics in Marisol Fernández's work include Microbial Natural Products and Biosynthesis (3 papers), Bacterial Genetics and Biotechnology (2 papers) and Plant-Microbe Interactions and Immunity (2 papers). Marisol Fernández is often cited by papers focused on Microbial Natural Products and Biosynthesis (3 papers), Bacterial Genetics and Biotechnology (2 papers) and Plant-Microbe Interactions and Immunity (2 papers). Marisol Fernández collaborates with scholars based in Spain, United States and Argentina. Marisol Fernández's co-authors include Ángel Manteca, Jesús Sánchez, Juan Pablo Albar, Oveimar Barbosa, Claudia Ortíz, Roberto Fernández‐Lafuente, Rodrigo Torres, María Romina Girotti, Lorena Benedetti and Emilio Camafeita and has published in prestigious journals such as Journal of Investigative Dermatology, Molecular Cancer and Microbiology.

In The Last Decade

Marisol Fernández

9 papers receiving 310 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marisol Fernández Spain 8 217 87 47 43 35 10 313
Holger Woehlecke Germany 10 151 0.7× 28 0.3× 66 1.4× 10 0.2× 8 0.2× 14 364
Yunmian He China 8 224 1.0× 48 0.6× 54 1.1× 18 0.4× 11 0.3× 9 400
Won‐Chan Choi South Korea 10 378 1.7× 8 0.1× 49 1.0× 30 0.7× 50 1.4× 12 473
Li‐Ting Ma Taiwan 13 238 1.1× 90 1.0× 47 1.0× 15 0.3× 25 0.7× 34 443
Daniel Schwendenwein Austria 11 333 1.5× 25 0.3× 22 0.5× 70 1.6× 11 0.3× 14 459
Agata Gitlin‐Domagalska Poland 11 221 1.0× 19 0.2× 22 0.5× 33 0.8× 11 0.3× 26 357
Svetla Petrova Bulgaria 12 227 1.0× 19 0.2× 28 0.6× 61 1.4× 92 2.6× 55 449
Jan Philip Wurm Germany 16 670 3.1× 39 0.4× 28 0.6× 8 0.2× 48 1.4× 32 771

Countries citing papers authored by Marisol Fernández

Since Specialization
Citations

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

Fields of papers citing papers by Marisol Fernández

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marisol Fernández

This figure shows the co-authorship network connecting the top 25 collaborators of Marisol Fernández. A scholar is included among the top collaborators of Marisol Fernández 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 Marisol Fernández. Marisol Fernández is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Fernández, Marisol, et al.. (2021). Screening of rice proteins using 2-d gels after inoculation with Rhizotonia solani. 4(1). 100–113.
2.
Gallardo, Miguel, Santiago Barrio, Marisol Fernández, et al.. (2013). Proteomic analysis reveals heat shock protein 70 has a key role in polycythemia Vera. Molecular Cancer. 12(1). 142–142. 14 indexed citations
3.
Rojas‐Triana, Mónica, Marisol Fernández, Juan Pablo Albar, et al.. (2013). Proteomics identifies ubiquitin–proteasome targets and new roles for chromatin-remodeling in the Arabidopsis response to phosphate starvation. Journal of Proteomics. 94. 1–22. 20 indexed citations
4.
Fernández, Marisol & Juan Pablo Albar. (2012). 2D DIGE for the Analysis of RAMOS Cells Subproteomes. Methods in molecular biology. 854. 239–252. 1 indexed citations
6.
Girotti, María Romina, Marisol Fernández, Juan Antonio López, et al.. (2011). SPARC Promotes Cathepsin B-Mediated Melanoma Invasiveness through a Collagen I/α2β1 Integrin Axis. Journal of Investigative Dermatology. 131(12). 2438–2447. 56 indexed citations
7.
Paradela, Alberto, Miguel Marcilla, Rosana Navajas, et al.. (2009). Evaluation of isotope-coded protein labeling (ICPL) in the quantitative analysis of complex proteomes. Talanta. 80(4). 1496–1502. 24 indexed citations
8.
Manteca, Ángel, Marisol Fernández, & Jesús Sánchez. (2005). Mycelium development in Streptomyces antibioticus ATCC11891 occurs in an orderly pattern which determines multiphase growth curves. BMC Microbiology. 5(1). 51–51. 22 indexed citations
9.
Manteca, Ángel, Marisol Fernández, & Jesús Sánchez. (2005). Cytological and biochemical evidence for an early cell dismantling event in surface cultures of Streptomyces antibioticus. Research in Microbiology. 157(2). 143–152. 48 indexed citations
10.
Manteca, Ángel, Marisol Fernández, & Jesús Sánchez. (2005). A death round affecting a young compartmentalized mycelium precedes aerial mycelium dismantling in confluent surface cultures of Streptomyces antibioticus. Microbiology. 151(11). 3689–3697. 63 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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