Andreia Pinto

1.6k citations
23 papers · 668 · h-index 12

Impact in

Papers in

Andreia Pinto

21 papers receiving 654 citations

Peers

Andreia Pinto
Comparison fields: 5 of 95
  • Epidemiology 251
  • Parasitology 52
  • Public Health, Environmental and Occupational Health 164
  • Rehabilitation 34
  • Pulmonary and Respiratory Medicine 126
Replace F.‐J. Kaup with:
F.‐J. Kaup Germany
Maristela Martins De Camargo Brazil
Daniel A. Ward United States
John E. Carpenter United States
Diane V. H. Hendrix United States
Julie Wen United States
Chihiro Aikawa Japan
Iván Conejeros Germany
Alexsia Richards United States
Pedro Augusto Carvalho Costa Brazil
Andreia Pinto relative to F.‐J. Kaup Germany F.‐J. Kaup's profile →
Citations per field
00.5×8.1×
F.‐J. Kaup · 1×
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 2016248
2 202097
3
A rat model of diabetic wound infection for the evaluation of topical antimicrobial therapies.
201259
4 202151
5 201730
6 202228
7 201724
8 202121
9 202120
10 202017
11 202015
12 202213
13 202010
14 202110
15 20247
16 20216
17 20193
18 20203
19 20193
20 20242

About Andreia Pinto

Andreia Pinto is a scholar working on Pulmonary and Respiratory Medicine, Genetics, Molecular Biology, Epidemiology and Infectious Diseases, having authored 23 papers that have together received 668 indexed citations. Recurring topics across this work include Cystic Fibrosis Research Advances (8 papers), Genetic and Kidney Cyst Diseases (6 papers), Tracheal and airway disorders (3 papers), Neonatal Respiratory Health Research (3 papers), Sinusitis and nasal conditions (2 papers), Herpesvirus Infections and Treatments (2 papers), Extracellular vesicles in disease (2 papers) and Poxvirus research and outbreaks (2 papers). The work is most often cited by research in Epidemiology (251 citations), Parasitology (52 citations), Public Health, Environmental and Occupational Health (164 citations), Rehabilitation (34 citations) and Pulmonary and Respiratory Medicine (126 citations). Andreia Pinto has collaborated with scholars based in United Kingdom, Portugal and Germany. Frequent co-authors include Tânia Carvalho, Terry Smith, Simon A. Young, Fábio Bento, Filipa Rijo‐Ferreira, Jan Van Den Abbeele, Sandra Trindade, Ruy M. Ribeiro, Francisco Aresta‐Branco and Fabien Guegan. Their work appears in journals such as International Journal of Molecular Sciences, eLife, Nature Communications, Journal of Extracellular Vesicles 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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