E. Liébana

7.3k citations
90 papers · 3.9k indexed · h-index 36

Impact in

Papers in

E. Liébana

89 papers receiving 3.7k citations

Peers

E. Liébana
Comparison fields: 5 of 98
  • Molecular Medicine 1.3k
  • Endocrinology 1.0k
  • Food Science 1.6k
  • Infectious Diseases 1.6k
  • Biotechnology 413
Replace María Fookes with:
María Fookes United Kingdom
Antonio Battisti Italy
Chitrita DebRoy United States
Jens A. Hammerl Germany
Alessia Franco Italy
Nabil-Fareed Alikhan United Kingdom
Vanessa Wong United Kingdom
Tetsuo Asai Japan
Nouri L. Ben Zakour Australia
Rolf Sommer Kaas Denmark
E. Liébana relative to María Fookes United Kingdom María Fookes's profile →
Citations per field
00.5×1.5×
María Fookes · 1×
Citations per year

Countries citing papers authored by E. Liébana

Since Specialization
Citations

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

Fields of papers citing papers by E. Liébana

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 202336
2
The Role of the European Food Safety Authority (EFSA) in the Fight against Antimicrobial Resistance (AMR)
20184
3 201816
4 20189
5 201423
6 2012210
7 200918
8 200813
9
Antibioticumresistentie bij Escherichia coli O157 geisoleerd tussen 1998 en 2003 in Nederland
20071
10 200743
11 200726
12 200712
13 200781
14 200635
15 20065
16 200534
17 200220
18 200232
19 199842
20 199731

About E. Liébana

E. Liébana is a scholar working on Molecular Medicine, Endocrinology, Food Science, Infectious Diseases and Biotechnology, having authored 90 papers that have together received 3.9k indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (49 papers), Antibiotic Resistance in Bacteria (25 papers), Mycobacterium research and diagnosis (20 papers), Bacteriophages and microbial interactions (20 papers), Tuberculosis Research and Epidemiology (17 papers), Listeria monocytogenes in Food Safety (12 papers), Vibrio bacteria research studies (10 papers) and Escherichia coli research studies (9 papers). The work is most often cited by research in Molecular Medicine (1.3k citations), Endocrinology (1.0k citations), Food Science (1.6k citations), Infectious Diseases (1.6k citations) and Biotechnology (413 citations). E. Liébana has collaborated with scholars based in United Kingdom, Spain and Italy. Frequent co-authors include Alicia Aranaz, Miranda Batchelor, Katie L. Hopkins, Ana Mateos, Lucas Domı́nguez, Robert Davies, Debby Cousins, Martin J. Woodward, F.A. Clifton-Hadley and E. J. Threlfall. Their work appears in journals such as Journal of Clinical Microbiology, Veterinary Microbiology, International Journal of Food Microbiology, Journal of Applied Microbiology and Microbial Drug Resistance.

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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