Marı́a Fedetz

1.8k total citations
33 papers, 887 citations indexed

About

Marı́a Fedetz is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Immunology. According to data from OpenAlex, Marı́a Fedetz has authored 33 papers receiving a total of 887 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 12 papers in Pathology and Forensic Medicine and 12 papers in Immunology. Recurrent topics in Marı́a Fedetz's work include Multiple Sclerosis Research Studies (11 papers), Cytokine Signaling Pathways and Interactions (11 papers) and T-cell and B-cell Immunology (5 papers). Marı́a Fedetz is often cited by papers focused on Multiple Sclerosis Research Studies (11 papers), Cytokine Signaling Pathways and Interactions (11 papers) and T-cell and B-cell Immunology (5 papers). Marı́a Fedetz collaborates with scholars based in Spain, United States and Israel. Marı́a Fedetz's co-authors include Antonio Alcina, Fuencisla Matesanz, Óscar Fernández, Concepción Delgado, Laura Leyva, Miguel Guerrero, Miguel Lucas, Guillermo Izquierdo, Dorothy Ndagire and María M. Abad‐Grau and has published in prestigious journals such as Nature Communications, PLoS ONE and Scientific Reports.

In The Last Decade

Marı́a Fedetz

33 papers receiving 870 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marı́a Fedetz Spain 18 397 272 257 151 134 33 887
Satu Kuokkanen United States 14 530 1.3× 279 1.0× 297 1.2× 88 0.6× 226 1.7× 24 1.0k
Laurent Magnenat United States 10 795 2.0× 591 2.2× 182 0.7× 171 1.1× 115 0.9× 12 1.5k
Yufen Qin United States 14 598 1.5× 152 0.6× 289 1.1× 113 0.7× 74 0.6× 24 911
Paola G. Bronson United States 17 374 0.9× 342 1.3× 122 0.5× 74 0.5× 190 1.4× 28 880
Klaus‐Dieter Preuss Germany 20 414 1.0× 401 1.5× 167 0.6× 161 1.1× 51 0.4× 50 954
Poching Liu United States 15 330 0.8× 556 2.0× 254 1.0× 111 0.7× 57 0.4× 25 1.2k
Tone Berge Norway 17 268 0.7× 474 1.7× 113 0.4× 137 0.9× 65 0.5× 34 832
Diane Beauseigle Canada 12 392 1.0× 304 1.1× 145 0.6× 148 1.0× 43 0.3× 14 829
Shanli Tsui United States 16 126 0.3× 439 1.6× 587 2.3× 194 1.3× 249 1.9× 19 1.3k
Kazuki Ishibashi Japan 14 317 0.8× 400 1.5× 81 0.3× 91 0.6× 57 0.4× 29 1.3k

Countries citing papers authored by Marı́a Fedetz

Since Specialization
Citations

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

Fields of papers citing papers by Marı́a Fedetz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marı́a Fedetz

This figure shows the co-authorship network connecting the top 25 collaborators of Marı́a Fedetz. A scholar is included among the top collaborators of Marı́a Fedetz 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 Marı́a Fedetz. Marı́a Fedetz 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.
Fuente, Ildefonso M. De la, Marı́a Fedetz, Alberto Pérez-Samartı́n, et al.. (2024). Systemic cellular migration: The forces driving the directed locomotion movement of cells. PNAS Nexus. 3(5). pgae171–pgae171. 1 indexed citations
2.
Fuente, Ildefonso M. De la, et al.. (2021). Self-Organization and Information Processing: From Basic Enzymatic Activities to Complex Adaptive Cellular Behavior. Frontiers in Genetics. 12. 644615–644615. 15 indexed citations
3.
Malaina, Iker, Marı́a Fedetz, Luis Martínez, et al.. (2021). Associative Conditioning Is a Robust Systemic Behavior in Unicellular Organisms: An Interspecies Comparison. Frontiers in Microbiology. 12. 707086–707086. 15 indexed citations
4.
Fuente, Ildefonso M. De la, Iker Malaina, Alberto Pérez-Samartı́n, et al.. (2019). The nucleus does not significantly affect the migratory trajectories of amoeba in two-dimensional environments. Scientific Reports. 9(1). 16369–16369. 8 indexed citations
5.
Fuente, Ildefonso M. De la, Iker Malaina, Marı́a Fedetz, et al.. (2019). Evidence of conditioned behavior in amoebae. Nature Communications. 10(1). 3690–3690. 32 indexed citations
6.
Fuente, Ildefonso M. De la, Iker Malaina, Alberto Pérez-Samartı́n, et al.. (2017). Dynamic properties of calcium-activated chloride currents in Xenopus laevis oocytes. Scientific Reports. 7(1). 41791–41791. 4 indexed citations
7.
Varadé, Jezabel, Marta García‐Montojo, Antonio Alcina, et al.. (2014). Human Endogenous Retrovirus HERV-Fc1 Association with Multiple Sclerosis Susceptibility: A Meta-Analysis. PLoS ONE. 9(3). e90182–e90182. 28 indexed citations
8.
García‐Montojo, Marta, Jezabel Varadé, Iris Camacho, et al.. (2014). HERV-W polymorphism in chromosome X is associated with multiple sclerosis risk and with differential expression of MSRV. Retrovirology. 11(1). 2–2. 30 indexed citations
9.
Swaminathan, Bhairavi, Angélica Cuapio, Iraide Alloza, et al.. (2013). Fine Mapping and Functional Analysis of the Multiple Sclerosis Risk Gene CD6. PLoS ONE. 8(4). e62376–e62376. 16 indexed citations
10.
11.
Alcina, Antonio, Óscar Fernández, Juan R. González, et al.. (2010). Tag-SNP analysis of the GFI1-EVI5-RPL5-FAM69 risk locus for multiple sclerosis. European Journal of Human Genetics. 18(7). 827–831. 20 indexed citations
12.
Fedetz, Marı́a, Dorothy Ndagire, Laura Leyva, et al.. (2009). Multiple sclerosis association study with the TENR‐IL2‐IL21 region in a Spanish population. Tissue Antigens. 74(3). 244–247. 17 indexed citations
13.
Alcina, Antonio, Marı́a Fedetz, Dorothy Ndagire, et al.. (2009). IL2RA/CD25 Gene Polymorphisms: Uneven Association with Multiple Sclerosis (MS) and Type 1 Diabetes (T1D). PLoS ONE. 4(1). e4137–e4137. 67 indexed citations
14.
Alcina, Antonio, Marı́a Fedetz, Dorothy Ndagire, et al.. (2008). The T244I variant of the interleukin‐7 receptor‐alpha gene and multiple sclerosis. Tissue Antigens. 72(2). 158–161. 28 indexed citations
15.
Matesanz, Fuencisla, Óscar Fernández, Roger L. Milne, et al.. (2008). The high producer variant of the Fc-receptor like-3 (FCRL3) gene is involved in protection against multiple sclerosis. Journal of Neuroimmunology. 195(1-2). 146–150. 36 indexed citations
16.
Fedetz, Marı́a, et al.. (2006). The 1858T PTPN22 gene variant contributes to a genetic risk of type 1 diabetes in a Ukrainian population. Tissue Antigens. 67(5). 430–433. 34 indexed citations
17.
Bello‐Morales, Raquel, Marı́a Fedetz, Antonio Alcina, E. Tabarés, & José Antonio López‐Guerrero. (2005). High susceptibility of a human oligodendroglial cell line to herpes simplex type 1 infection. Journal of NeuroVirology. 11(2). 190–198. 35 indexed citations
18.
Leyva, Laura, Óscar Fernández, Marı́a Fedetz, et al.. (2005). IFNAR1 and IFNAR2 polymorphisms confer susceptibility to multiple sclerosis but not to interferon-beta treatment response. Journal of Neuroimmunology. 163(1-2). 165–171. 69 indexed citations
19.
Fedetz, Marı́a, Antonio Alcina, Óscar Fernández, et al.. (2002). Analysis of −631 and −475 interleukin‐2 promoter single nucleotide polymorphisms in multiple sclerosis. European Journal of Immunogenetics. 29(5). 389–390. 5 indexed citations
20.
Fedetz, Marı́a, Fuencisla Matesanz, M. Pascual, et al.. (2001). The −174/−597 promoter polymorphisms in the interleukin-6 gene are not associated with susceptibility to multiple sclerosis. Journal of the Neurological Sciences. 190(1-2). 69–72. 21 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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