María Fátima Ladelfa

441 total citations
16 papers, 335 citations indexed

About

María Fátima Ladelfa is a scholar working on Molecular Biology, Oncology and Epidemiology. According to data from OpenAlex, María Fátima Ladelfa has authored 16 papers receiving a total of 335 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 9 papers in Oncology and 6 papers in Epidemiology. Recurrent topics in María Fátima Ladelfa's work include Ubiquitin and proteasome pathways (7 papers), Herpesvirus Infections and Treatments (6 papers) and Viral-associated cancers and disorders (6 papers). María Fátima Ladelfa is often cited by papers focused on Ubiquitin and proteasome pathways (7 papers), Herpesvirus Infections and Treatments (6 papers) and Viral-associated cancers and disorders (6 papers). María Fátima Ladelfa collaborates with scholars based in Argentina, Belgium and Italy. María Fátima Ladelfa's co-authors include Martín Monte, Leticia Y. Peche, Sonia Alejandra Romera, María Paula Del Médico Zajac, Fiorella Kotsias, Julien Thiry, Benoît Muylkens, Étienne Thiry, Claudio Schneider and C. Schneider and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Cell Death and Differentiation.

In The Last Decade

María Fátima Ladelfa

16 papers receiving 332 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
María Fátima Ladelfa Argentina 10 149 129 124 93 33 16 335
Pieter Admiraal Netherlands 8 152 1.0× 157 1.2× 103 0.8× 58 0.6× 76 2.3× 10 459
S Mochizuki Japan 11 166 1.1× 176 1.4× 108 0.9× 57 0.6× 50 1.5× 24 425
Kazuya Takizawa Japan 13 143 1.0× 95 0.7× 166 1.3× 31 0.3× 50 1.5× 29 343
Grace Naswa Makokha Japan 12 279 1.9× 203 1.6× 110 0.9× 24 0.3× 25 0.8× 24 559
JoAnn C. Castelli United States 7 266 1.8× 88 0.7× 320 2.6× 101 1.1× 22 0.7× 9 539
Ren-Huan Xu United States 12 119 0.8× 137 1.1× 323 2.6× 74 0.8× 12 0.4× 21 504
Hao Yao China 10 133 0.9× 122 0.9× 39 0.3× 21 0.2× 40 1.2× 21 343
Yongyong Ji China 10 202 1.4× 63 0.5× 365 2.9× 54 0.6× 11 0.3× 18 542
Muhammad Assad Aslam Pakistan 12 143 1.0× 38 0.3× 133 1.1× 98 1.1× 6 0.2× 23 399
Songwang Hou United States 9 223 1.5× 135 1.0× 135 1.1× 69 0.7× 4 0.1× 14 377

Countries citing papers authored by María Fátima Ladelfa

Since Specialization
Citations

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

Fields of papers citing papers by María Fátima Ladelfa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by María Fátima Ladelfa. 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 María Fátima Ladelfa. The network helps show where María Fátima Ladelfa may publish in the future.

Co-authorship network of co-authors of María Fátima Ladelfa

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

All Works

16 of 16 papers shown
1.
Ladelfa, María Fátima, et al.. (2022). MAGE-I proteins and cancer-pathways: A bidirectional relationship. Biochimie. 208. 31–37. 2 indexed citations
2.
Ladelfa, María Fátima, Leticia Y. Peche, Stefania Zampieri, et al.. (2021). Expression of the tumor-expressed protein MageB2 enhances rRNA transcription. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1868(7). 119015–119015. 4 indexed citations
3.
Ladelfa, María Fátima, et al.. (2020). MageC2 protein is upregulated by oncogenic activation of MAPK pathway and causes impairment of the p53 transactivation function. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1868(3). 118918–118918. 2 indexed citations
4.
Giovannoni, Federico, María Fátima Ladelfa, Martín Monte, et al.. (2019). Dengue Non-structural Protein 5 Polymerase Complexes With Promyelocytic Leukemia Protein (PML) Isoforms III and IV to Disrupt PML-Nuclear Bodies in Infected Cells. Frontiers in Cellular and Infection Microbiology. 9. 284–284. 18 indexed citations
5.
Ladelfa, María Fátima, Javier Cotignola, Leticia Y. Peche, et al.. (2017). Functional interaction between co-expressed MAGE-A proteins. PLoS ONE. 12(5). e0178370–e0178370. 14 indexed citations
6.
Monte, Martín, et al.. (2015). Regulation of transcription factors by tumor-specific MAGE proteins. Conicet. 1(4). 118–122. 2 indexed citations
7.
Peche, Leticia Y., et al.. (2015). Human MageB2 Protein Expression Enhances E2F Transcriptional Activity, Cell Proliferation, and Resistance to Ribotoxic Stress. Journal of Biological Chemistry. 290(49). 29652–29662. 24 indexed citations
8.
Ladelfa, María Fátima, et al.. (2012). Tumor-specific MAGE proteins as regulators of p53 function. Cancer Letters. 325(1). 11–17. 32 indexed citations
9.
Ladelfa, María Fátima, María Paula Del Médico Zajac, Fiorella Kotsias, et al.. (2011). Comparative study on the in vitro and in vivo properties of two bovine herpesvirus-5 reference strains. Acta veterinaria Scandinavica. 53(1). 37–37. 8 indexed citations
10.
Ladelfa, María Fátima, Sandra Pérez, María Paula Del Médico Zajac, et al.. (2011). Characterization of BoHV-5 field strains circulation and report of transient specific subtype of bovine herpesvirus 5 in Argentina. BMC Veterinary Research. 7(1). 8–8. 24 indexed citations
11.
Zajac, María Paula Del Médico, Sonia Alejandra Romera, María Fátima Ladelfa, et al.. (2011). In vitro-generated interspecific recombinants between bovine herpesviruses 1 and 5 show attenuated replication characteristics and establish latency in the natural host. BMC Veterinary Research. 7(1). 19–19. 7 indexed citations
12.
Peche, Leticia Y., et al.. (2011). MageA2 restrains cellular senescence by targeting the function of PMLIV/p53 axis at the PML-NBs. Cell Death and Differentiation. 19(6). 926–936. 49 indexed citations
13.
Ladelfa, María Fátima, Fiorella Kotsias, María Paula Del Médico Zajac, et al.. (2011). Effect of the US3 protein of bovine herpesvirus 5 on the actin cytoskeleton and apoptosis. Veterinary Microbiology. 153(3-4). 361–366. 20 indexed citations
14.
Ladelfa, María Fátima, et al.. (2010). Interaction of p53 with Tumor Suppressive and Oncogenic Signaling Pathways to Control Cellular Reactive Oxygen Species Production. Antioxidants and Redox Signaling. 15(6). 1749–1761. 48 indexed citations
15.
Zajac, María Paula Del Médico, Sonia Alejandra Romera, María Fátima Ladelfa, et al.. (2009). Characterization of interspecific recombinants generated from closely related bovine herpesviruses 1 and 5 through multiple PCR sequencing assays. Journal of Virological Methods. 161(1). 75–83. 12 indexed citations
16.
Zajac, María Paula Del Médico, María Fátima Ladelfa, Fiorella Kotsias, et al.. (2009). Biology of bovine herpesvirus 5. The Veterinary Journal. 184(2). 138–145. 69 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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