Alba Rivera

35 papers receiving 731 citations

Peers

Alba Rivera
Comparison fields: 5 of 61
  • Molecular Medicine 500
  • Applied Microbiology and Biotechnology 77
  • Endocrinology 161
  • Pollution 132
  • Clinical Biochemistry 60
Replace Olivier Belmonte with:
Olivier Belmonte France
Olfa Bouallègue Tunisia
Gioconda Brigante Italy
Ilhem Boutiba-Ben Boubaker Tunisia
Doroti de Oliveira Garcia Brazil
María Eliecer Cano Spain
Jean‐Luc Donay France
Gianluigi Lombardi Italy
Kyriaki Tryfinopoulou Greece
NP Singh India
Alba Rivera relative to Olivier Belmonte France Olivier Belmonte's profile →
Citations per field
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Olivier Belmonte · 1×
Citations per year

Countries citing papers authored by Alba Rivera

Since Specialization
Citations

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

Fields of papers citing papers by Alba Rivera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201272
2 200567
3 200661
4 201652
5 201751
6 201248
7 200941
8 200238
9 200638
10 200835
11 201924
12 201522
13 200522
14 201421
15 201818
16 200617
17 202015
18 202014
19 201313
20 201112

About Alba Rivera

Alba Rivera is a scholar working on Molecular Medicine, Pharmacology, Infectious Diseases, Epidemiology and Applied Microbiology and Biotechnology, having authored 40 papers that have together received 754 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (23 papers), Antibiotics Pharmacokinetics and Efficacy (9 papers), Antibiotic Use and Resistance (5 papers), Antimicrobial Resistance in Staphylococcus (4 papers), Streptococcal Infections and Treatments (3 papers), Pneumonia and Respiratory Infections (3 papers), Pharmaceutical and Antibiotic Environmental Impacts (3 papers) and Migration, Aging, and Tourism Studies (2 papers). The work is most often cited by research in Molecular Medicine (500 citations), Applied Microbiology and Biotechnology (77 citations), Endocrinology (161 citations), Pollution (132 citations) and Clinical Biochemistry (60 citations). Alba Rivera has collaborated with scholars based in Spain, United States and Australia. Frequent co-authors include Beatriz Mirelis, Pere Coll, Ferrán Navarro, Elisenda Miró, Núria Prim, Mercè Gurguí, Montserrat Español, María José Añón Roig, Antonio Oliver and Guillem Prats. Their work appears in journals such as Antibiotics, Antimicrobial Agents and Chemotherapy, Journal of Antimicrobial Chemotherapy, Microbial Drug Resistance and Journal of Clinical Microbiology.

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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