Daniela Araújo

767 citations
30 papers · 502 · h-index 10

Impact in

Papers in

Daniela Araújo

26 papers receiving 500 citations

Peers

Daniela Araújo
Comparison fields: 5 of 69
  • Infectious Diseases 286
  • Microbiology 55
  • Molecular Medicine 38
  • Periodontics 35
  • Endocrinology 28
Replace Reginaldo Gonçalves de Lima-Neto with:
Reginaldo Gonçalves de Lima-Neto Brazil
Gláucia Morgana de Melo Guedes Brazil
Jonathas Sales de Oliveira Brazil
Jeffrey A. Freiberg United States
Somanon Bhattacharya United States
Lívia S. Ramos Brazil
Sujiraphong Pharkjaksu Thailand
Tereza de Jesus Pinheiro Gomes Bandeira Brazil
Helena Barroso Portugal
José Luciano Bezerra Moreira Brazil
Daniela Araújo relative to Reginaldo Gonçalves de Lima-Neto Brazil Reginaldo Gonçalves de Lima-Neto's profile →
Citations per field
00.5×1.6×
Reginaldo Gonçalves de Lima-Neto · 1×
Citations per year

Countries citing papers authored by Daniela Araújo

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Araújo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017207
2 2016108
3 201835
4 202224
5 202117
6 202317
7 202015
8 202412
9 202411
10 20199
11 20237
12 20226
13 20244
14 20244
15 20244
16 20214
17 20243
18 20243
19 20242
20 20212

About Daniela Araújo

Daniela Araújo is a scholar working on Molecular Biology, Infectious Diseases, Food Science, Epidemiology and Microbiology, having authored 30 papers that have together received 502 indexed citations. Recurring topics across this work include Antifungal resistance and susceptibility (9 papers), Advanced biosensing and bioanalysis techniques (7 papers), Bacterial biofilms and quorum sensing (6 papers), Salmonella and Campylobacter epidemiology (6 papers), Fungal Infections and Studies (6 papers), Antimicrobial Peptides and Activities (5 papers), Bacteriophages and microbial interactions (5 papers) and Antibiotic Resistance in Bacteria (5 papers). The work is most often cited by research in Infectious Diseases (286 citations), Microbiology (55 citations), Molecular Medicine (38 citations), Periodontics (35 citations) and Endocrinology (28 citations). Daniela Araújo has collaborated with scholars based in Portugal, Germany and Uruguay. Frequent co-authors include Sónia Silva, Mariana Henriques, Maria Elisa Rodrigues, Célia F. Rodrigues, Carina Almeida, Joana Castro, Ricardo Oliveira, Dalila Mil‐Homens, Rodrigo Almeida‐Paes and Nuno F. Azevedo. Their work appears in journals such as Foods, Journal of Fungi, Medical Mycology, Molecular Therapy — Nucleic Acids and Microbial Pathogenesis.

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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