Lucía Spangenberg

811 total citations
39 papers, 484 citations indexed

About

Lucía Spangenberg is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Lucía Spangenberg has authored 39 papers receiving a total of 484 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 8 papers in Genetics and 6 papers in Cancer Research. Recurrent topics in Lucía Spangenberg's work include RNA Research and Splicing (11 papers), RNA modifications and cancer (10 papers) and Genomics and Phylogenetic Studies (5 papers). Lucía Spangenberg is often cited by papers focused on RNA Research and Splicing (11 papers), RNA modifications and cancer (10 papers) and Genomics and Phylogenetic Studies (5 papers). Lucía Spangenberg collaborates with scholars based in Uruguay, Brazil and Chile. Lucía Spangenberg's co-authors include Hugo Naya, Daniel E. Naya, Bruno Dallagiovanna, Francisco Bozinovic, Isabela Tiemy Pereira, Patrícia Shigunov, Marco Augusto Stimamiglio, Alejandro Correa, Gustavo E. Vázquez and Rocío Amorín and has published in prestigious journals such as Bioinformatics, PLoS ONE and Scientific Reports.

In The Last Decade

Lucía Spangenberg

37 papers receiving 480 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lucía Spangenberg Uruguay 13 246 92 64 63 44 39 484
И. А. Королева Russia 9 129 0.5× 62 0.7× 29 0.5× 56 0.9× 45 1.0× 44 584
Amir Sapir Israel 14 758 3.1× 54 0.6× 39 0.6× 22 0.3× 44 1.0× 19 1.0k
Eiji Hosoi Japan 13 182 0.7× 56 0.6× 15 0.2× 32 0.5× 56 1.3× 43 599
Marie-Véronique Demattei France 13 250 1.0× 42 0.5× 20 0.3× 19 0.3× 50 1.1× 22 466
Kasinathan Muralidharan United States 14 196 0.8× 89 1.0× 28 0.4× 29 0.5× 22 0.5× 21 561
Jarret Glasscock United States 10 627 2.5× 74 0.8× 99 1.5× 73 1.2× 49 1.1× 18 1.1k
Yun-Sheng Wang China 9 144 0.6× 52 0.6× 66 1.0× 44 0.7× 15 0.3× 14 344
Julian Gutekunst Germany 13 480 2.0× 171 1.9× 100 1.6× 23 0.4× 63 1.4× 17 924

Countries citing papers authored by Lucía Spangenberg

Since Specialization
Citations

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

Fields of papers citing papers by Lucía Spangenberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lucía Spangenberg

This figure shows the co-authorship network connecting the top 25 collaborators of Lucía Spangenberg. A scholar is included among the top collaborators of Lucía Spangenberg 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 Lucía Spangenberg. Lucía Spangenberg 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.
Raggio, Víctor, et al.. (2025). A labeled medical records corpus for the timely detection of rare diseases using machine learning approaches. Scientific Reports. 15(1). 6932–6932. 1 indexed citations
2.
Pereira, Isabela Tiemy, et al.. (2025). Post-transcriptional regulation in early cell fate commitment of germ layers. BMC Genomics. 26(1). 225–225.
3.
Spangenberg, Lucía, et al.. (2024). Unveiling Polysomal Long Non-Coding RNA Expression on the First Day of Adipogenesis and Osteogenesis in Human Adipose-Derived Stem Cells. International Journal of Molecular Sciences. 25(4). 2013–2013. 3 indexed citations
4.
Raggio, Víctor, et al.. (2024). Exome Sequencing Reveals Biallelic Mutations in MBTPS1 Gene in a Girl with a Very Rare Skeletal Dysplasia. Diagnostics. 14(3). 313–313. 1 indexed citations
5.
Grille, Sofía, et al.. (2023). Case Report: Mycosis fungoides as an exclusive manifestation of common variable immunodeficiency in a family with a NFKB2 gene mutation. Frontiers in Oncology. 13. 1248964–1248964. 2 indexed citations
6.
Greif, Gonzalo, et al.. (2022). Filogeografía de mitogenomas indígenas de Uruguay. Revista Argentina de Antropología Biológica. 24(1). 42–42. 3 indexed citations
7.
Grille, Sofía, et al.. (2022). Two mutations in theSBDSgene reveal a diagnosis of Shwachman–Diamond syndrome in a patient with atypical symptoms. Molecular Case Studies. 8(7). a006237–a006237. 3 indexed citations
8.
Alonso, Martina, Daniela Lens, Martín Graña, et al.. (2021). Blood cell respiration rates and mtDNA copy number: A promising tool for the diagnosis of mitochondrial disease. Mitochondrion. 61. 31–43. 7 indexed citations
9.
Nali, Luiz Henrique da Silva, Horácio Montenegro, Israel Tojal da Silva, et al.. (2021). Human endogenous retrovirus and multiple sclerosis: A review and transcriptome findings. Multiple Sclerosis and Related Disorders. 57. 103383–103383. 21 indexed citations
10.
Petrazzini, Ben Omega, et al.. (2021). Evaluation of different approaches for missing data imputation on features associated to genomic data. BioData Mining. 14(1). 44–44. 31 indexed citations
11.
Nali, Luiz Henrique da Silva, Francielle Tramontini Gomes de Sousa, Ana Carolina Soares de Oliveira, et al.. (2020). Whole transcriptome analysis of multiple Sclerosis patients reveals active inflammatory profile in relapsing patients and downregulation of neurological repair pathways in secondary progressive cases. Multiple Sclerosis and Related Disorders. 44. 102243–102243. 12 indexed citations
12.
Pereira, Isabela Tiemy, et al.. (2020). Polysome-associated lncRNAs during cardiomyogenesis of hESCs. Molecular and Cellular Biochemistry. 468(1-2). 35–45. 4 indexed citations
13.
Ribeiro‐Alves, Marcelo, Fernanda Heloise Côrtes, Edson Delatorre, et al.. (2020). Increased expression of CDKN1A/p21 in HIV-1 controllers is correlated with upregulation of ZC3H12A/MCPIP1. Retrovirology. 17(1). 18–18. 7 indexed citations
14.
Pereira, Isabela Tiemy, Lucía Spangenberg, Anny Waloski Robert, et al.. (2018). Polysome profiling followed by RNA-seq of cardiac differentiation stages in hESCs. Scientific Data. 5(1). 180287–180287. 17 indexed citations
15.
Dallagiovanna, Bruno, et al.. (2017). lncRNAs are associated with polysomes during adipose-derived stem cell differentiation. Gene. 610. 103–111. 12 indexed citations
16.
Spangenberg, Lucía, Marco Augusto Stimamiglio, Patrícia Shigunov, et al.. (2014). Polysome Profiling Shows the Identity of Human Adipose-Derived Stromal/Stem Cells in Detail and Clearly Distinguishes Them from Dermal Fibroblasts. Stem Cells and Development. 23(22). 2791–2802. 10 indexed citations
17.
Spangenberg, Lucía, Patrícia Shigunov, Marco Augusto Stimamiglio, et al.. (2013). Polysome profiling shows extensive posttranscriptional regulation during human adipocyte stem cell differentiation into adipocytes. Stem Cell Research. 11(2). 902–912. 44 indexed citations
18.
Naya, Daniel E., Lucía Spangenberg, Hugo Naya, & Francisco Bozinovic. (2012). HOW DOES EVOLUTIONARY VARIATION IN BASAL METABOLIC RATES ARISE? A STATISTICAL ASSESSMENT AND A MECHANISTIC MODEL. Evolution. 67(5). no–no. 35 indexed citations
19.
Iraola, Gregorio, Gustavo E. Vázquez, Lucía Spangenberg, & Hugo Naya. (2012). Reduced Set of Virulence Genes Allows High Accuracy Prediction of Bacterial Pathogenicity in Humans. PLoS ONE. 7(8). e42144–e42144. 15 indexed citations
20.
Supper, Jochen, et al.. (2009). BowTieBuilder: modeling signal transduction pathways. BMC Systems Biology. 3(1). 67–67. 28 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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