Valentina Boeva

5.5k total citations · 1 hit paper
46 papers, 2.4k citations indexed

About

Valentina Boeva is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Valentina Boeva has authored 46 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Molecular Biology, 15 papers in Cancer Research and 12 papers in Genetics. Recurrent topics in Valentina Boeva's work include Genomics and Chromatin Dynamics (15 papers), Epigenetics and DNA Methylation (11 papers) and Genomics and Phylogenetic Studies (9 papers). Valentina Boeva is often cited by papers focused on Genomics and Chromatin Dynamics (15 papers), Epigenetics and DNA Methylation (11 papers) and Genomics and Phylogenetic Studies (9 papers). Valentina Boeva collaborates with scholars based in France, Switzerland and United States. Valentina Boeva's co-authors include Emmanuel Barillot, Olivier Delattre, Isabelle Janoueix‐Lerosey, Kevin Bleakley, Gudrun Schleiermacher, Tatiana Popova, Julie Cappo, Pierre Chiche, Jean‐Philippe Vert and Vsevolod J. Makeev and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Molecular Cell.

In The Last Decade

Valentina Boeva

44 papers receiving 2.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Control-FREEC: a tool for assessing copy number and allelic content using next-generation sequencing data

2011 623 citations Valentina Boeva, Tatiana Popova et al. Bioinformatics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Valentina Boeva France	24	1.7k	769	676	318	259	46	2.4k
Bernat Gel Spain	22	1.6k 0.9×	965 1.3×	364 0.5×	319 1.0×	229 0.9×	48	2.4k
Xingzhi Song United States	15	1.2k 0.7×	470 0.6×	388 0.6×	345 1.1×	183 0.7×	44	2.0k
Thomas LaFramboise United States	27	2.2k 1.3×	701 0.9×	715 1.1×	362 1.1×	431 1.7×	83	3.0k
Ray Stefancsik United States	12	1.4k 0.8×	578 0.8×	438 0.6×	324 1.0×	226 0.9×	14	2.1k
Tatiana Popova France	20	1.5k 0.9×	899 1.2×	532 0.8×	831 2.6×	294 1.1×	39	2.4k
Edwin Wang Canada	31	2.1k 1.2×	936 1.2×	293 0.4×	267 0.8×	271 1.0×	87	3.2k
Victor Weigman United States	11	867 0.5×	738 1.0×	257 0.4×	545 1.7×	254 1.0×	23	1.6k
Florence Le Calvez‐Kelm France	25	1.3k 0.7×	820 1.1×	375 0.6×	783 2.5×	453 1.7×	68	2.4k
Barbara Tabak United States	7	1.9k 1.1×	761 1.0×	416 0.6×	344 1.1×	177 0.7×	10	2.5k
Jesse J. Salk United States	23	1.8k 1.1×	1.5k 1.9×	566 0.8×	427 1.3×	275 1.1×	51	2.9k

Countries citing papers authored by Valentina Boeva

Since Specialization

Citations

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

Fields of papers citing papers by Valentina Boeva

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Valentina Boeva

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

All Works

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20 of 20 papers shown

Cangkrama, Michael, Xiaoyu Wu, Christoph G. Gäbelein, et al.. (2025). MIRO2-mediated mitochondrial transfer from cancer cells induces cancer-associated fibroblast differentiation. Nature Cancer. 6(10). 1714–1733. 2 indexed citations

Steinacher, Roland, et al.. (2024). DNA-methylation variability in normal mucosa: a field cancerization marker in patients with adenomatous polyps. JNCI Journal of the National Cancer Institute. 116(6). 974–982. 5 indexed citations

Boeva, Valentina, et al.. (2024). sparsesurv: a Python package for fitting sparse survival models via knowledge distillation. Bioinformatics. 40(9).

Boeva, Valentina, et al.. (2024). Feature Clock: High-Dimensional Effects in Two-Dimensional Plots. arXiv (Cornell University). 151–155.

Kerdivel, Gwenneg, et al.. (2023). DNA hypermethylation driven by DNMT1 and DNMT3A favors tumor immune escape contributing to the aggressiveness of adrenocortical carcinoma. Clinical Epigenetics. 15(1). 121–121. 10 indexed citations

Kerdivel, Gwenneg, et al.. (2021). CHIPIN: ChIP-seq inter-sample normalization based on signal invariance across transcriptionally constant genes. BMC Bioinformatics. 22(1). 407–407. 9 indexed citations

Kerdivel, Gwenneg & Valentina Boeva. (2020). Chromatin Immunoprecipitation Followed by Next-Generation Sequencing (ChIP-Seq) Analysis in Ewing Sarcoma. Methods in molecular biology. 2226. 265–284. 1 indexed citations

Deveau, Paul, Léo Colmet‐Daage, Derek A. Oldridge, et al.. (2018). QuantumClone: clonal assessment of functional mutations in cancer based on a genotype-aware method for clonal reconstruction. Bioinformatics. 34(11). 1808–1816. 18 indexed citations

Köster, Jan, Valentina Boeva, Toby Dylan Hocking, et al.. (2018). Meta-mining of copy number profiles of high-risk neuroblastoma tumors. Scientific Data. 5(1). 180240–180240. 18 indexed citations

10.

Backenroth, Daniel, Zihuai He, Krzysztof Kiryluk, et al.. (2018). FUN-LDA: A Latent Dirichlet Allocation Model for Predicting Tissue-Specific Functional Effects of Noncoding Variation: Methods and Applications. The American Journal of Human Genetics. 102(5). 920–942. 48 indexed citations

11.

Garinet, Simon, Mario Néou, Bruno de La Villéon, et al.. (2017). Calling Chromosome Alterations, DNA Methylation Statuses, and Mutations in Tumors by Simple Targeted Next-Generation Sequencing. Journal of Molecular Diagnostics. 19(5). 776–787. 5 indexed citations

12.

Popova, Tatiana, Élodie Manié, Valentina Boeva, et al.. (2016). Ovarian Cancers Harboring Inactivating Mutations in CDK12 Display a Distinct Genomic Instability Pattern Characterized by Large Tandem Duplications. Cancer Research. 76(7). 1882–1891. 79 indexed citations

13.

Pérez-Rico, Yuvia A., et al.. (2016). Comparative analyses of super-enhancers reveal conserved elements in vertebrate genomes. Genome Research. 27(2). 259–268. 31 indexed citations

14.

Boeva, Valentina. (2016). Analysis of Genomic Sequence Motifs for Deciphering Transcription Factor Binding and Transcriptional Regulation in Eukaryotic Cells. Frontiers in Genetics. 7. 24–24. 106 indexed citations

15.

Boeva, Valentina, Martín Escamilla-Del-Arenal, Katia Ancelin, et al.. (2014). Jarid2 Is Implicated in the Initial Xist-Induced Targeting of PRC2 to the Inactive X Chromosome. Molecular Cell. 53(2). 301–316. 197 indexed citations

16.

Ashoor, Haitham, Aurélie Hérault, Aurélie Kamoun, et al.. (2013). HMCan: a method for detecting chromatin modifications in cancer samples using ChIP-seq data. Bioinformatics. 29(23). 2979–2986. 27 indexed citations

17.

Boeva, Valentina, Stéphanie Jouannet, Romain Daveau, et al.. (2013). Breakpoint Features of Genomic Rearrangements in Neuroblastoma with Unbalanced Translocations and Chromothripsis. PLoS ONE. 8(8). e72182–e72182. 28 indexed citations

18.

Hocking, Toby Dylan, Gudrun Schleiermacher, Isabelle Janoueix‐Lerosey, et al.. (2013). Learning smoothing models of copy number profiles using breakpoint annotations. BMC Bioinformatics. 14(1). 164–164. 27 indexed citations

19.

Cazes, Alex, Caroline Louis‐Brennetot, Pierre Mazot, et al.. (2012). Characterization of Rearrangements Involving the ALK Gene Reveals a Novel Truncated Form Associated with Tumor Aggressiveness in Neuroblastoma. Cancer Research. 73(1). 195–204. 44 indexed citations

20.

Boeva, Valentina, Andreï Zinovyev, Kevin Bleakley, et al.. (2010). Control-free calling of copy number alterations in deep-sequencing data using GC-content normalization. Bioinformatics. 27(2). 268–269. 182 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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