Marta Melé

20.6k total citations
25 papers, 750 citations indexed

About

Marta Melé is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Marta Melé has authored 25 papers receiving a total of 750 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 9 papers in Genetics and 7 papers in Cancer Research. Recurrent topics in Marta Melé's work include Cancer-related molecular mechanisms research (6 papers), Genetic Associations and Epidemiology (5 papers) and RNA modifications and cancer (5 papers). Marta Melé is often cited by papers focused on Cancer-related molecular mechanisms research (6 papers), Genetic Associations and Epidemiology (5 papers) and RNA modifications and cancer (5 papers). Marta Melé collaborates with scholars based in Spain, United States and Canada. Marta Melé's co-authors include John L. Rinn, Chiara Gerhardinger, Kaia Mattioli, David M Shechner, William Mallard, Philipp G. Maass, Pieter‐Jan Volders, James Lee, Catherine L. Weiner and A. Rasim Barutcu and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Molecular Cell.

In The Last Decade

Marta Melé

24 papers receiving 744 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marta Melé Spain 12 531 338 85 61 53 25 750
Abdullah Shah China 13 540 1.0× 383 1.1× 28 0.3× 110 1.8× 56 1.1× 26 784
Shrikant Pawar United States 14 226 0.4× 42 0.1× 30 0.4× 56 0.9× 14 0.3× 37 495
Tamara Fernández-Calero Uruguay 10 357 0.7× 76 0.2× 60 0.7× 24 0.4× 28 0.5× 17 503
Eran Mick United States 11 453 0.9× 67 0.2× 44 0.5× 59 1.0× 26 0.5× 17 606
Lu Ma China 13 181 0.3× 85 0.3× 28 0.3× 41 0.7× 24 0.5× 21 368
Yuko Ichikawa Japan 9 199 0.4× 146 0.4× 21 0.2× 37 0.6× 22 0.4× 23 390
Megha Basavappa United States 8 361 0.7× 120 0.4× 26 0.3× 92 1.5× 25 0.5× 9 551
Irmgard Kübler Germany 6 314 0.6× 35 0.1× 209 2.5× 38 0.6× 25 0.5× 8 604
Xin Bi United States 19 899 1.7× 80 0.2× 167 2.0× 28 0.5× 195 3.7× 51 1.0k
Yevhen Vainshtein Germany 13 711 1.3× 57 0.2× 59 0.7× 61 1.0× 90 1.7× 30 996

Countries citing papers authored by Marta Melé

Since Specialization
Citations

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

Fields of papers citing papers by Marta Melé

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marta Melé

This figure shows the co-authorship network connecting the top 25 collaborators of Marta Melé. A scholar is included among the top collaborators of Marta Melé 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 Marta Melé. Marta Melé 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.
Reese, Fairlie, Sílvia Carbonell Sala, Carme Arnan, et al.. (2025). Long-read transcriptomics of a diverse human cohort reveals ancestry bias in gene annotation. Nature Communications. 16(1). 10194–10194.
2.
Andreu‐Sánchez, Sergio, Peter M. Lansdorp, Marc Jan Bonder, et al.. (2024). Antibody signatures against viruses and microbiome reflect past and chronic exposures and associate with aging and inflammation. iScience. 27(6). 109981–109981. 2 indexed citations
3.
Neavin, Drew, Anne Senabouth, Jimmy Tsz Hang Lee, et al.. (2024). Demuxafy: improvement in droplet assignment by integrating multiple single-cell demultiplexing and doublet detection methods. Genome biology. 25(1). 94–94. 14 indexed citations
4.
Esposito, Roberta, Taisia Polidori, Raquel García-Pérez, et al.. (2024). Functional identification of cis -regulatory long noncoding RNAs at controlled false discovery rates. Nucleic Acids Research. 52(6). 2821–2835. 4 indexed citations
5.
García-Pérez, Raquel, Aaron E. Lin, Gordon Adams, et al.. (2023). Single-cell profiling of lncRNA expression during Ebola virus infection in rhesus macaques. Nature Communications. 14(1). 3866–3866. 10 indexed citations
6.
García-Pérez, Raquel, Aaron E. Lin, Gordon Adams, et al.. (2023). Single-cell profiling of lncRNA expression during Ebola virus infection in rhesus macaques. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
7.
García-Pérez, Raquel, José Miguel Ramírez, Mattia Bosio, et al.. (2022). The landscape of expression and alternative splicing variation across human traits. Cell Genomics. 3(1). 100244–100244. 20 indexed citations
8.
Andreu‐Sánchez, Sergio, Geraldine Aubert, Sandra Henkelman, et al.. (2022). Genetic, parental and lifestyle factors influence telomere length. Communications Biology. 5(1). 565–565. 43 indexed citations
9.
Mattioli, Kaia, Chiara Gerhardinger, Daniel Andergassen, et al.. (2020). Cis and trans effects differentially contribute to the evolution of promoters and enhancers. Genome biology. 21(1). 210–210. 33 indexed citations
10.
Mattioli, Kaia, Pieter‐Jan Volders, Chiara Gerhardinger, et al.. (2019). High-throughput functional analysis of lncRNA core promoters elucidates rules governing tissue specificity. Genome Research. 29(3). 344–355. 92 indexed citations
11.
Maass, Philipp G., A. Rasim Barutcu, David M Shechner, et al.. (2017). Spatiotemporal allele organization by allele-specific CRISPR live-cell imaging (SNP-CLING). Nature Structural & Molecular Biology. 25(2). 176–184. 66 indexed citations
12.
Vilar, Miguel G., et al.. (2016). Genetic diversity of A2 and C1 haplotypes in Puerto Rico: Implications for initial migration and settlement patterns of the Caribbean. 1 indexed citations
13.
Melé, Marta, Kaia Mattioli, William Mallard, et al.. (2016). Chromatin environment, transcriptional regulation, and splicing distinguish lincRNAs and mRNAs. Genome Research. 27(1). 27–37. 181 indexed citations
14.
Melé, Marta, Ingrid Balcells, Eva García-Ramallo, et al.. (2016). Functional Implications of Human-Specific Changes in Great Ape microRNAs. PLoS ONE. 11(4). e0154194–e0154194. 8 indexed citations
15.
Melé, Marta & John L. Rinn. (2016). “Cat’s Cradling” the 3D Genome by the Act of LncRNA Transcription. Molecular Cell. 62(5). 657–664. 107 indexed citations
16.
Javed, Asif, Marta Melé, Marc Pybus, et al.. (2011). Recombination networks as genetic markers in a human variation study of the Old World. Human Genetics. 131(4). 601–613. 1 indexed citations
17.
Laayouni, Hafid, Ludovica Montanucci, Martin Sikora, et al.. (2011). Similarity in Recombination Rate Estimates Highly Correlates with Genetic Differentiation in Humans. PLoS ONE. 6(3). e17913–e17913. 12 indexed citations
18.
Melé, Marta, et al.. (2010). A New Method to Reconstruct Recombination Events at a Genomic Scale. PLoS Computational Biology. 6(11). e1001010–e1001010. 7 indexed citations
19.
Javed, Asif, et al.. (2009). Minimizing recombinations in consensus networks for phylogeographic studies. BMC Bioinformatics. 10(S1). S72–S72. 11 indexed citations
20.
Melé, Marta, et al.. (2008). Estimating the Ancestral Recombinations Graph (ARG) as Compatible Networks of SNP Patterns. Journal of Computational Biology. 15(9). 1133–1153. 16 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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