Sı́lvia Beà

18.1k citations
97 papers · 4.8k · 1 hit paper · h-index 40

Impact in

Papers in

Sı́lvia Beà

97 papers receiving 4.7k citations

Sı́lvia Beà's Hit Papers

Non-coding recurrent mutations in chronic lymphocytic leukaemia 2016 · 377 citations
3770+3+6Years since publication100200300

Peers

Sı́lvia Beà
Comparison fields: 5 of 104
  • Pathology and Forensic Medicine 2.8k
  • Genetics 1.6k
  • Oncology 1.9k
  • Cancer Research 694
  • Immunology 641
Replace Stefan Gesk with:
Stefan Gesk Germany
Pedro Jares Spain
Margarita Sánchez‐Beato Spain
Nathalie A. Johnson Canada
Manuela Mollejo Spain
Andreas Bräuninger Germany
Christian Steidl Canada
Yasuhiro Oki United States
Christian Bastard France
Magda Pinyol Spain
Sı́lvia Beà relative to Stefan Gesk Germany Stefan Gesk's profile →
Citations per field
00.5×1.6×
Stefan Gesk · 1×
Citations per year

Countries citing papers authored by Sı́lvia Beà

Since Specialization
Citations

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

Fields of papers citing papers by Sı́lvia Beà

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Sı́lvia Beà, 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 Sı́lvia Beà Line = papers co-authored together Sı́lvia Beà links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 97 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Non-coding recurrent mutations in chronic lymphocytic leukaemia
Hit paper breakdown →
2016377
2 2005246
3 1998238
4
BMI-1 gene amplification and overexpression in hematological malignancies occur mainly in mantle cell lymphomas.
2001234
5 1999221
6 1999211
7 2005207
8 2008125
9 2002122
10 2007118
11 2016111
12 2008104
13 2013102
14 201085
15 201281
16 202176
17 200276
18 200475
19 200074
20 201173

About Sı́lvia Beà

Sı́lvia Beà is a scholar working on Pathology and Forensic Medicine, Genetics, Molecular Biology, Oncology and Cancer Research, having authored 97 papers that have together received 4.8k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (73 papers), Chronic Lymphocytic Leukemia Research (42 papers), Viral-associated cancers and disorders (23 papers), Cancer-related Molecular Pathways (13 papers), Cancer Genomics and Diagnostics (10 papers), Genetic factors in colorectal cancer (9 papers), RNA modifications and cancer (9 papers) and Immunodeficiency and Autoimmune Disorders (8 papers). The work is most often cited by research in Pathology and Forensic Medicine (2.8k citations), Genetics (1.6k citations), Oncology (1.9k citations), Cancer Research (694 citations) and Immunology (641 citations). Sı́lvia Beà has collaborated with scholars based in Spain, Germany and United States. Frequent co-authors include Elı́as Campo, Magda Pinyol, Luís Hernández, Pedro Jares, Itziar Salaverría, Armando López‐Guillermo, Dolors Colomer, Pedro L. Fernández, Sílvia Hernández and Andreas Rosenwald. Their work appears in journals such as Blood, Leukemia, Haematologica, Modern Pathology and International Journal of Cancer.

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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