María Licursi

580 total citations
21 papers, 429 citations indexed

About

María Licursi is a scholar working on Immunology, Oncology and Genetics. According to data from OpenAlex, María Licursi has authored 21 papers receiving a total of 429 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Immunology, 6 papers in Oncology and 6 papers in Genetics. Recurrent topics in María Licursi's work include T-cell and Retrovirus Studies (6 papers), Virus-based gene therapy research (6 papers) and Cytokine Signaling Pathways and Interactions (6 papers). María Licursi is often cited by papers focused on T-cell and Retrovirus Studies (6 papers), Virus-based gene therapy research (6 papers) and Cytokine Signaling Pathways and Interactions (6 papers). María Licursi collaborates with scholars based in Canada, Argentina and Japan. María Licursi's co-authors include Kensuke Hirasawa, Sherri L. Christian, Ester Teresa González, Donglai Wu, Hiroshi Sentsui, Takashi Yokoyama, Yasuo Inoshima, Yumiko Komatsu, Vipin Shankar Chelakkot and Nga Ho and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

María Licursi

21 papers receiving 415 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 Licursi Canada 13 185 156 80 66 58 21 429
R Gatti Italy 11 107 0.6× 88 0.6× 26 0.3× 73 1.1× 7 0.1× 50 421
Carla García‐Morales United Kingdom 12 214 1.2× 153 1.0× 6 0.1× 45 0.7× 16 0.3× 19 475
Hiroyuki Kyushiki Japan 10 368 2.0× 57 0.4× 20 0.3× 25 0.4× 22 0.4× 15 560
Heather Branscome United States 13 241 1.3× 78 0.5× 27 0.3× 13 0.2× 10 0.2× 19 384
Yasuka L. Yamaguchi Japan 13 491 2.7× 69 0.4× 14 0.2× 36 0.5× 9 0.2× 16 714
Guoqiang Huang China 11 306 1.7× 92 0.6× 9 0.1× 23 0.3× 10 0.2× 22 494
Grace A. Maresh United States 17 321 1.7× 142 0.9× 21 0.3× 79 1.2× 58 1.0× 31 607
Yu‐Ten Ju Taiwan 13 200 1.1× 42 0.3× 17 0.2× 22 0.3× 15 0.3× 36 448
Roman Spektor United States 9 352 1.9× 89 0.6× 11 0.1× 30 0.5× 14 0.2× 9 580
Eric Eastman United States 11 374 2.0× 41 0.3× 15 0.2× 27 0.4× 12 0.2× 19 526

Countries citing papers authored by María Licursi

Since Specialization
Citations

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

Fields of papers citing papers by María Licursi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of María Licursi

This figure shows the co-authorship network connecting the top 25 collaborators of María Licursi. A scholar is included among the top collaborators of María Licursi 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 Licursi. María Licursi 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.
Licursi, María, et al.. (2023). Prostaglandin E 2 activates melanin-concentrating hormone neurons to drive diet-induced obesity. Proceedings of the National Academy of Sciences. 120(31). e2302809120–e2302809120. 4 indexed citations
2.
Xu, Danyang, María Licursi, Michael Joyce, et al.. (2023). Interferon regulatory factor 3 mediates effective antiviral responses to human coronavirus 229E and OC43 infection. Frontiers in Immunology. 14. 930086–930086. 5 indexed citations
3.
Chelakkot, Vipin Shankar, et al.. (2020). MEK reduces cancer-specific PpIX accumulation through the RSK-ABCB1 and HIF-1α-FECH axes. Scientific Reports. 10(1). 22124–22124. 21 indexed citations
4.
Licursi, María, et al.. (2018). Mcl-1 and Bcl-xL are essential for survival of the developing nervous system. Cell Death and Differentiation. 26(8). 1501–1515. 35 indexed citations
5.
Chelakkot, Vipin Shankar, María Licursi, Justin J. King, et al.. (2018). Enhancement of Cancer-Specific Protoporphyrin IX Fluorescence by Targeting Oncogenic Ras/MEK Pathway. Theranostics. 8(8). 2134–2146. 50 indexed citations
6.
Licursi, María, et al.. (2016). High‐fat diet‐induced downregulation of anorexic leukemia inhibitory factor in the brain stem. Obesity. 24(11). 2361–2367. 7 indexed citations
7.
Licursi, María, et al.. (2015). Promotion of Viral IRES-Mediated Translation Initiation under Mild Hypothermia. PLoS ONE. 10(5). e0126174–e0126174. 3 indexed citations
8.
Hebert, Mark, María Licursi, Charles W. Malsbury, et al.. (2014). Single Rapamycin Administration Induces Prolonged Downward Shift in Defended Body Weight in Rats. PLoS ONE. 9(5). e93691–e93691. 30 indexed citations
9.
Komatsu, Yumiko, et al.. (2014). Oncogenic Ras inhibits IRF1 to promote viral oncolysis. Oncogene. 34(30). 3985–3993. 29 indexed citations
10.
Licursi, María, et al.. (2014). Restoration of IRF1-dependent anticancer effects by MEK inhibition in human cancer cells. Cancer Letters. 357(2). 575–581. 21 indexed citations
11.
Christian, Sherri L., et al.. (2012). Suppression of IFN-Induced Transcription Underlies IFN Defects Generated by Activated Ras/MEK in Human Cancer Cells. PLoS ONE. 7(9). e44267–e44267. 36 indexed citations
12.
Licursi, María, et al.. (2012). Promotion of viral internal ribosomal entry site-mediated translation under amino acid starvation. Journal of General Virology. 93(5). 951–962. 16 indexed citations
13.
Licursi, María, et al.. (2011). In vitro and in vivo comparison of viral and cellular internal ribosome entry sites for bicistronic vector expression. Gene Therapy. 18(6). 631–636. 42 indexed citations
14.
Christian, Sherri L., et al.. (2009). Activated Ras/MEK Inhibits the Antiviral Response of Alpha Interferon by Reducing STAT2 Levels. Journal of Virology. 83(13). 6717–6726. 33 indexed citations
15.
González, Ester Teresa, et al.. (2007). Evidence of bovine immunodeficiency virus (BIV) infection: Serological survey in Argentina. Research in Veterinary Science. 85(2). 353–358. 8 indexed citations
16.
Licursi, María, et al.. (2007). Enzootic bovine leukosis: performance of an indirect ELISA applied in serological diagnosis. Brazilian Journal of Microbiology. 38(1). 1–5. 18 indexed citations
17.
Licursi, María, Yasuo Inoshima, Donglai Wu, et al.. (2003). Provirus variants of bovine leukemia virus in naturally infected cattle from Argentina and Japan. Veterinary Microbiology. 96(1). 17–23. 34 indexed citations
18.
Licursi, María, Yasuo Inoshima, Donglai Wu, et al.. (2002). Genetic heterogeneity among bovine leukemia virus genotypes and its relation to humoral responses in hosts. Virus Research. 86(1-2). 101–110. 31 indexed citations
19.
González, Ester Teresa, et al.. (2001). Leucosis enzoótica bovina: evaluación de técnicas de diagnóstico (ID, ELISA-I, WB, PCR) en bovinos inoculados experimentalmente. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 3 indexed citations
20.
González, Ester Teresa, et al.. (1999). Enzootic bovine Leukosis: development of an indirect enzyme linked immunosorbent assay (I-Elisa) in seroepidemiological studies. SHILAP Revista de lepidopterología. 30(1). 37–42. 2 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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