Rafael Bernad

669 total citations
10 papers, 540 citations indexed

About

Rafael Bernad is a scholar working on Molecular Biology, Hematology and Cell Biology. According to data from OpenAlex, Rafael Bernad has authored 10 papers receiving a total of 540 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Hematology and 3 papers in Cell Biology. Recurrent topics in Rafael Bernad's work include Genomics and Chromatin Dynamics (4 papers), Chromosomal and Genetic Variations (3 papers) and Microtubule and mitosis dynamics (3 papers). Rafael Bernad is often cited by papers focused on Genomics and Chromatin Dynamics (4 papers), Chromosomal and Genetic Variations (3 papers) and Microtubule and mitosis dynamics (3 papers). Rafael Bernad collaborates with scholars based in Netherlands, Spain and United States. Rafael Bernad's co-authors include Maarten Fornerod, Helen Pickersgill, Ana Losada, Jero Calafat, Geneviève Almouzni, Miriam Rodríguez-Corsino, Alexei Arnaoutov, Patricia Sánchez, Isabelle Vassias and Teresa Rivera and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Cell Biology and The EMBO Journal.

In The Last Decade

Rafael Bernad

10 papers receiving 534 citations

Peers

Rafael Bernad
Comparison fields: 5 of 47
  • Molecular Biology 483
  • Plant Science 157
  • Cell Biology 99
  • Hematology 43
  • Genetics 26
Replace Ekaterina Boyarchuk with:
Ekaterina Boyarchuk France
Audrey Forest Canada
Hye-Jung E. Chun Canada
Katerina R. Katsani Greece
Samantha Ciccone United States
Gabriela Maldonado-Codina United Kingdom
Anuja Mehta United States
Judith Hyle United States
Mary Miyaji‐Yamaguchi Japan
Christophe Thiriet United States
Ekaterina Boyarchuk France View profile →
Citations per field, relative to Rafael Bernad
Rafael Bernad · 1×
Citations per year, relative to Rafael Bernad
Rafael Bernad · 1×

Countries citing papers authored by Rafael Bernad

Since Specialization
Citations

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

Fields of papers citing papers by Rafael Bernad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rafael Bernad

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

All Works

10 of 10 papers shown
# Work Indexed citations
1 17
2 79
3 83
4 28
5 47
6
Functional characterization of the T-ALL associated EML1-ABL1 and NUP214-ABL1 oncogenes
1
7 68
8 1
9 82
10 134

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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2026