Véra Pancaldi

4.1k citations
47 papers · 751 · h-index 16

Impact in

    • Genomics and Chromatin Dynamics
    • Bioinformatics and Genomic Networks
    • RNA Research and Splicing
    • Epigenetics and DNA Methylation
    • Fungal and yeast genetics research
    • RNA and protein synthesis mechanisms
    • RNA modifications and cancer

Papers in

    • Genomics and Chromatin Dynamics 17
    • Bioinformatics and Genomic Networks 13
    • Epigenetics and DNA Methylation 11
    • Fungal and yeast genetics research 5
    • Gene Regulatory Network Analysis 4
    • Gene expression and cancer classification 3

Véra Pancaldi

44 papers receiving 745 citations

Peers

Véra Pancaldi
Comparison fields: 5 of 105
  • Aging 17
  • Molecular Biology 502
  • Cancer Research 54
  • Oncology 80
  • Genetics 77
Replace Hyun-Hwan Jeong with:
Hyun-Hwan Jeong United States
John Platig United States
Gustavo J. Gutierrez United States
Frida Belinky United States
Abhijeet R. Sonawane United States
Stephen T. Guest United States
Britta Velten Germany
Bernd Klaus Germany
Maria Suntsova Russia
Véra Pancaldi relative to Hyun-Hwan Jeong United States Hyun-Hwan Jeong's profile →
Citations per field
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Hyun-Hwan Jeong · 1×
Citations per year

Countries citing papers authored by Véra Pancaldi

Since Specialization
Citations

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

Fields of papers citing papers by Véra Pancaldi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Véra Pancaldi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Véra Pancaldi Line = papers co-authored together Véra Pancaldi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201761
2 201552
3 201150
4 201448
5 201641
6 202040
7 201540
8 201937
9 200932
10 202031
11 201225
12 202024
13 202122
14 201922
15 202321
16 201319
17 201615
18 202014
19 202013
20 202012

About Véra Pancaldi

Véra Pancaldi is a scholar working on Molecular Biology, Oncology, Pulmonary and Respiratory Medicine, Computational Theory and Mathematics and Immunology, having authored 47 papers that have together received 751 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (17 papers), Bioinformatics and Genomic Networks (13 papers), Epigenetics and DNA Methylation (11 papers), Fungal and yeast genetics research (5 papers), Gene Regulatory Network Analysis (4 papers), Advanced Mathematical Modeling in Engineering (3 papers), Cancer Genomics and Diagnostics (3 papers) and Gene expression and cancer classification (3 papers). The work is most often cited by research in Aging (17 citations), Molecular Biology (502 citations), Cancer Research (54 citations), Oncology (80 citations) and Genetics (77 citations). Véra Pancaldi has collaborated with scholars based in Spain, France and United Kingdom. Frequent co-authors include Jürg Bähler, Alfonso Valencia, Simone Ecker, Daniel Rico, Falk Schubert, Charalampos Rallis, Dirk S. Paul, Stephan Beck, Teodora Georgescu and Luis López‐Maury. Their work appears in journals such as Nucleic Acids Research, International Journal of Molecular Sciences, Bioinformatics, Molecular BioSystems and Cancer 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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