Andreia Pinto

21 papers receiving 613 citations

Peers

Andreia Pinto
Comparison fields: 5 of 93
  • Parasitology 50
  • Epidemiology 255
  • Public Health, Environmental and Occupational Health 163
  • Rehabilitation 38
  • Physiology 18
Replace Daniel A. Ward with:
Daniel A. Ward United States
F.‐J. Kaup Germany
Jacklyn H. Salmon United States
Maristela Martins De Camargo Brazil
Nancy Starobinas Brazil
Adel M. Nour United States
Chihiro Aikawa Japan
Andrew Sanderson United Kingdom
John E. Carpenter United States
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Citations per field
00.5×4.8×
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Citations per year

Countries citing papers authored by Andreia Pinto

Since Specialization
Citations

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

Fields of papers citing papers by Andreia Pinto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016238
2 202085
3
A rat model of diabetic wound infection for the evaluation of topical antimicrobial therapies.
201258
4 202149
5 201729
6 202226
7 201723
8 202119
9 202118
10 202213
11 202013
12 202012
13 202010
14 20219
15 20215
16 20244
17 20203
18 20193
19 20193
20 20242

About Andreia Pinto

Andreia Pinto is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Genetics, Epidemiology and Immunology and Allergy, having authored 23 papers that have together received 623 indexed citations. Recurring topics across this work include Cystic Fibrosis Research Advances (8 papers), Genetic and Kidney Cyst Diseases (6 papers), Cell Adhesion Molecules Research (3 papers), Tracheal and airway disorders (3 papers), Extracellular vesicles in disease (3 papers), Neonatal Respiratory Health Research (3 papers), Poxvirus research and outbreaks (2 papers) and Sinusitis and nasal conditions (2 papers). The work is most often cited by research in Parasitology (50 citations), Epidemiology (255 citations), Public Health, Environmental and Occupational Health (163 citations), Rehabilitation (38 citations) and Physiology (18 citations). Andreia Pinto has collaborated with scholars based in United Kingdom, Portugal and Germany. Frequent co-authors include Tânia Carvalho, Filipa Rijo‐Ferreira, Simon A. Young, Fabien Guegan, Francisco Aresta‐Branco, Jan Van Den Abbeele, Sérgio Dias, Terry Smith, Ruy M. Ribeiro and Sandra Trindade. Their work appears in journals such as Nature Communications, International Journal of Molecular Sciences, eLife, American Journal of Physiology-Lung Cellular and Molecular Physiology and Cell Host & Microbe.

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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