Begoña Euba

496 citations
24 papers · 412 · h-index 14

Impact in

    • Bacterial Infections and Vaccines
    • Antimicrobial Peptides and Activities
    • Antibiotic Resistance in Bacteria

Papers in

    • Bacterial Infections and Vaccines 12
    • Antimicrobial Peptides and Activities 5
    • Pneumonia and Respiratory Infections 13

Begoña Euba

24 papers receiving 407 citations

Peers

Begoña Euba
Comparison fields: 5 of 67
  • Microbiology 157
  • Molecular Medicine 42
  • Endocrinology 30
  • Epidemiology 143
  • Geriatrics and Gerontology 14
Replace Hany Ibrahim Kenawy with:
Hany Ibrahim Kenawy Egypt
Nikhil Nitin Kulkarni United States
Hongying Pan China
Tianxin Xiang China
Becca A. Flitter United States
Mounia Alaoui-El-Azher United States
Zhao Wei China
Yujin L. Jeong South Korea
Wenchun Xu China
Ali El Roz Lebanon
Begoña Euba relative to Hany Ibrahim Kenawy Egypt Hany Ibrahim Kenawy's profile →
Citations per field
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Hany Ibrahim Kenawy · 1×
Citations per year

Countries citing papers authored by Begoña Euba

Since Specialization
Citations

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

Fields of papers citing papers by Begoña Euba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201350
2 201837
3 201734
4 201627
5 201427
6 201922
7 201822
8 201921
9 201521
10 202018
11 200817
12 201516
13 201515
14 202114
15 201712
16 201911
17 202111
18 201810
19 201710
20 20116

About Begoña Euba

Begoña Euba is a scholar working on Microbiology, Epidemiology, Endocrinology, Molecular Medicine and Infectious Diseases, having authored 24 papers that have together received 412 indexed citations. Recurring topics across this work include Pneumonia and Respiratory Infections (13 papers), Bacterial Infections and Vaccines (12 papers), Antimicrobial Peptides and Activities (5 papers), Glycosylation and Glycoproteins Research (2 papers), Tuberculosis Research and Epidemiology (2 papers), Inhalation and Respiratory Drug Delivery (2 papers), Escherichia coli research studies (2 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers). The work is most often cited by research in Microbiology (157 citations), Molecular Medicine (42 citations), Endocrinology (30 citations), Epidemiology (143 citations) and Geriatrics and Gerontology (14 citations). Begoña Euba has collaborated with scholars based in Spain, United Kingdom and United States. Frequent co-authors include Junkal Garmendia, José Antonio Bengoechea, Sara Martí, Irene Rodríguez-Arce, M. Barberán, Dolores Solı́s, Carmen Gil, María Jesús Grilló, Teodor Aastrup and Davide Proverbio. Their work appears in journals such as Scientific Reports, mBio, Antimicrobial Agents and Chemotherapy, Microbiology Spectrum and PLoS ONE.

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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