Beatriz Beamud

507 citations
14 papers · 272 · h-index 10

Impact in

Papers in

    • Genomics and Phylogenetic Studies 7
    • CRISPR and Genetic Engineering 2
    • RNA and protein synthesis mechanisms 2
    • Bacteriophages and microbial interactions 8

Beatriz Beamud

14 papers receiving 269 citations

Peers

Beatriz Beamud
Comparison fields: 5 of 47
  • Molecular Medicine 47
  • Microbiology 56
  • Ecology 157
  • Endocrinology 18
  • Virology 10
Replace Neris García‐González with:
Neris García‐González Spain
Ergun Akturk Portugal
Xinxin Li China
Julien Lossouarn France
Lucía M. Malone New Zealand
Lauren Lessor United States
Bharathi Sriram India
Kyle A. Long United States
Ching‐Chung Ko United States
Ghais Houtak Australia
Beatriz Beamud relative to Neris García‐González Spain Neris García‐González's profile →
Citations per field
00.5×3.3×
Neris García‐González · 1×
Citations per year

Countries citing papers authored by Beatriz Beamud

Since Specialization
Citations

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

Fields of papers citing papers by Beatriz Beamud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 202363
2 202161
3 202034
4 202421
5 202021
6 202117
7 202315
8 201912
9 202510
10 20249
11 20234
12 20252
13 20252
14 20251

About Beatriz Beamud

Beatriz Beamud is a scholar working on Molecular Biology, Ecology, Epidemiology, Molecular Medicine and Genetics, having authored 14 papers that have together received 272 indexed citations. Recurring topics across this work include Bacteriophages and microbial interactions (8 papers), Genomics and Phylogenetic Studies (7 papers), Antibiotic Resistance in Bacteria (3 papers), Microbial infections and disease research (2 papers), CRISPR and Genetic Engineering (2 papers), RNA and protein synthesis mechanisms (2 papers), Cytomegalovirus and herpesvirus research (1 paper) and Virus-based gene therapy research (1 paper). The work is most often cited by research in Molecular Medicine (47 citations), Microbiology (56 citations), Ecology (157 citations), Endocrinology (18 citations) and Virology (10 citations). Beatriz Beamud has collaborated with scholars based in Spain, France and Denmark. Frequent co-authors include Fernando Gónzález‐Candelas, Pilar Domingo‐Calap, Rafael Sanjuán, Neris García‐González, Paula Ruiz-Hueso, Lorena Mejía, María Alma Bracho, Maheswaran Easwaran, Cristina Arbona and José M. Cuevas. Their work appears in journals such as Frontiers in Microbiology, International Journal of Molecular Sciences, Antimicrobial Resistance and Infection Control, Cell Reports and PLoS Computational Biology.

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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