Teresa Colombo

3.0k total citations
37 papers, 2.2k citations indexed

About

Teresa Colombo is a scholar working on Molecular Biology, Cancer Research and Plant Science. According to data from OpenAlex, Teresa Colombo has authored 37 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 19 papers in Cancer Research and 3 papers in Plant Science. Recurrent topics in Teresa Colombo's work include MicroRNA in disease regulation (15 papers), Cancer-related molecular mechanisms research (13 papers) and RNA Research and Splicing (10 papers). Teresa Colombo is often cited by papers focused on MicroRNA in disease regulation (15 papers), Cancer-related molecular mechanisms research (13 papers) and RNA Research and Splicing (10 papers). Teresa Colombo collaborates with scholars based in Italy, United Kingdom and United States. Teresa Colombo's co-authors include Paola Paci, Lorenzo Farina, Giuseppe Macino, Nikolaus Rajewsky, Valerio Fulci, Franca Citarella, Fabio Piano, Giulia Fiscon, Vincenzo Barnaba and Pranidhi Sood and has published in prestigious journals such as The Lancet, Nucleic Acids Research and SHILAP Revista de lepidopterología.

In The Last Decade

Teresa Colombo

36 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Teresa Colombo Italy 23 1.7k 1.5k 154 153 92 37 2.2k
Shu‐Juan Xie China 16 836 0.5× 516 0.4× 97 0.6× 118 0.8× 29 0.3× 44 1.2k
Dongxia Hou China 20 1.3k 0.8× 1.0k 0.7× 152 1.0× 60 0.4× 75 0.8× 32 1.7k
Cecilia Garabaya Spain 13 927 0.5× 319 0.2× 165 1.1× 308 2.0× 16 0.2× 14 1.8k
Ismael A. Vergara Canada 21 759 0.4× 520 0.4× 135 0.9× 258 1.7× 132 1.4× 72 1.7k
Hoang C.B. Nguyen United States 15 1.3k 0.7× 606 0.4× 267 1.7× 131 0.9× 64 0.7× 29 1.9k
Yan Hu China 25 1.8k 1.1× 302 0.2× 188 1.2× 140 0.9× 133 1.4× 73 2.3k
Xiaobo Zhou China 13 1.1k 0.7× 1.0k 0.7× 286 1.9× 145 0.9× 20 0.2× 33 1.7k
Hsi‐Yuan Huang Taiwan 21 1.7k 1.0× 1.2k 0.8× 213 1.4× 175 1.1× 95 1.0× 64 2.4k

Countries citing papers authored by Teresa Colombo

Since Specialization
Citations

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

Fields of papers citing papers by Teresa Colombo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Teresa Colombo

This figure shows the co-authorship network connecting the top 25 collaborators of Teresa Colombo. A scholar is included among the top collaborators of Teresa Colombo 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 Teresa Colombo. Teresa Colombo 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.
Milella, Michèle, et al.. (2023). RNA-Based Strategies for Cancer Therapy: In Silico Design and Evaluation of ASOs for Targeted Exon Skipping. International Journal of Molecular Sciences. 24(19). 14862–14862. 5 indexed citations
2.
Bazzichetto, Chiara, Michèle Milella, Francesca Simionato, et al.. (2022). Interleukin-8 in Colorectal Cancer: A Systematic Review and Meta-Analysis of Its Potential Role as a Prognostic Biomarker. Biomedicines. 10(10). 2631–2631. 19 indexed citations
3.
Galizia, Antonella, Filippo Geraci, Loredana Le Pera, et al.. (2021). AI applications in functional genomics. Computational and Structural Biotechnology Journal. 19. 5762–5790. 65 indexed citations
4.
5.
Verduci, Lorena, Maria Ferraiuolo, Andrea Sacconi, et al.. (2017). The oncogenic role of circPVT1 in head and neck squamous cell carcinoma is mediated through the mutant p53/YAP/TEAD transcription-competent complex. Genome biology. 18(1). 237–237. 200 indexed citations
6.
Paci, Paola, Teresa Colombo, Giulia Fiscon, et al.. (2017). SWIM: a computational tool to unveiling crucial nodes in complex biological networks. Scientific Reports. 7(1). 44797–44797. 57 indexed citations
7.
Guzzi, Rodolfo, Teresa Colombo, & Paola Paci. (2017). Inverse Problems in Systems Biology: A Critical Review. Methods in molecular biology. 1702. 69–94. 10 indexed citations
8.
Garibaldi, Francesca, Daniela Trisciuoglio, Teresa Colombo, et al.. (2016). Mutant p53 inhibits miRNA biogenesis by interfering with the microprocessor complex. Oncogene. 35(29). 3760–3770. 44 indexed citations
9.
Carissimi, Claudia, Teresa Colombo, Gianluca Azzalin, et al.. (2016). Comprehensive RNA dataset of AGO2 associated RNAs in Jurkat cells following miR-21 over-expression. Data in Brief. 7. 604–606. 1 indexed citations
10.
Krell, Jonathan, Justin Stebbing, Claudia Carissimi, et al.. (2015). TP53 regulates miRNA association with AGO2 to remodel the miRNA–mRNA interaction network. Genome Research. 26(3). 331–341. 43 indexed citations
11.
Fiscon, Giulia, Paola Paci, Teresa Colombo, & Giulio Iannello. (2015). A New Procedure to Analyze RNA Non-Branching Structures. Current Bioinformatics. 10(3). 242–258. 4 indexed citations
12.
Carissimi, Claudia, Nicoletta Carucci, Teresa Colombo, et al.. (2014). miR-21 is a negative modulator of T-cell activation. Biochimie. 107. 319–326. 55 indexed citations
13.
Paci, Paola, Teresa Colombo, & Lorenzo Farina. (2014). Computational analysis identifies a sponge interaction network between long non-coding RNAs and messenger RNAs in human breast cancer. BMC Systems Biology. 8(1). 83–83. 209 indexed citations
14.
Sturchio, Elena, et al.. (2013). Arsenic exposure triggers a shift in microRNA expression. The Science of The Total Environment. 472. 672–680. 36 indexed citations
15.
Krell, Jonathan, Adam E. Frampton, Teresa Colombo, et al.. (2013). The P53 Mirna Interactome and its Potential Role in the Cancer Clinic. Epigenomics. 5(4). 417–428. 27 indexed citations
16.
Fulci, Valerio, Teresa Colombo, Sabina Chiaretti, et al.. (2009). Characterization of B‐ and T‐lineage acute lymphoblastic leukemia by integrated analysis of MicroRNA and mRNA expression profiles. Genes Chromosomes and Cancer. 48(12). 1069–1082. 79 indexed citations
17.
Fulci, Valerio, Gian Domenico Sebastiani, Chiara Giannitti, et al.. (2009). miR-223 is overexpressed in T-lymphocytes of patients affected by rheumatoid arthritis. Human Immunology. 71(2). 206–211. 224 indexed citations
18.
Castrodeza, Javier, et al.. (2009). Prevalencia de demencia en pacientes institucionalizados: estudio RESYDEM. Revista Española de Geriatría y Gerontología. 44(1). 5–11. 36 indexed citations
19.
Magrelli, Armando, Gianluca Azzalin, Marco Salvatore, et al.. (2009). Altered microRNA Expression Patterns in Hepatoblastoma Patients. Translational Oncology. 2(3). 157–163. 60 indexed citations
20.
Lall, Sabbi, Dominic Grün, Azra Krek, et al.. (2006). A Genome-Wide Map of Conserved MicroRNA Targets in C. elegans. Current Biology. 16(5). 460–471. 345 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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