Valentina Boeva

5.5k citations
46 papers · 2.4k indexed · 1 hit paper · h-index 24
Topics
Genomics and Chromatin Dynamics (15 papers)Epigenetics and DNA Methylation (11 papers)Genomics and Phylogenetic Studies (9 papers)

In The Last Decade

Valentina Boeva

44 papers receiving 2.4k citations

Hit Papers

Control-FREEC: a tool for assessing copy number and allel...20112026201620212011200400600

Peers

Valentina Boeva
Comparison fields: 5 of 118
  • Molecular Biology 1.7k
  • Cancer Research 769
  • Genetics 676
  • Oncology 318
  • Pulmonary and Respiratory Medicine 259
Replace Bernat Gel with:
Bernat Gel Spain
Raj Chari United States
Xingzhi Song United States
Ray Stefancsik United States
Timothy K. Starr United States
Thomas LaFramboise United States
Mhairi Marshall Australia
Maria Doyle Australia
Hailiang Mei Netherlands
Violaine Saint‐André France
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Citations per field
00.5×1.5×1.9×
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Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 2
2 8
3 0
4 5
5 0
6 11
7 10
8 18
9 18
10 48
11 5
12 79
13 31
14 106
15 115
16 197
17 27
18 28
19 44
20 27

About Valentina Boeva

Valentina Boeva is a scholar working on Cancer Research, Molecular Biology and Genetics, having authored 46 papers that have together received 2.4k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (15 papers), Epigenetics and DNA Methylation (11 papers) and Genomics and Phylogenetic Studies (9 papers). The work is most often cited by research in Cancer Research (769 citations), Molecular Biology (1.7k citations) and Genetics (676 citations). Valentina Boeva has collaborated with scholars based in France, Switzerland and United States. Frequent 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. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Molecular Cell.

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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