Fernando Abreu

514 citations
14 papers · 269 · h-index 9

Impact in

Papers in

Fernando Abreu

13 papers receiving 261 citations

Peers

Fernando Abreu
Comparison fields: 5 of 57
  • Transplantation 71
  • Nephrology 38
  • Pulmonary and Respiratory Medicine 166
  • Genetics 52
  • Psychiatry and Mental health 30
Replace J.C. Regueiro López with:
J.C. Regueiro López Spain
Ana Fernández Spain
S. Bertasi Italy
D. Caldari France
Veena Venkat United States
Daísa Silva Ribeiro David Brazil
Vincent Bunel France
Bożena Kociszewska‐Najman Poland
Bassam Saeed Syria
Tadamune Kinjo Japan
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Citations per field
00.5×20×40×52×
J.C. Regueiro López · 1×
Citations per year

Countries citing papers authored by Fernando Abreu

Since Specialization
Citations

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

Fields of papers citing papers by Fernando Abreu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 199361
2 200751
3 200932
4 200930
5
Geographic heterogeneity of 4 common worldwide cystic fibrosis non-DF508 mutations in Brazil.
199922
6 200916
7
Cystic fibrosis in the Brazilian population: DF508 mutation and KM-19/XV-2C haplotype distribution.
199716
8 200913
9
Regional distribution of cystic fibrosis-linked DNA haplotypes in Brazil: multicenter study.
199713
10 20176
11 20066
12 20052
13
Parenteral iron safety in haemodialysis patients
20091
14
Hiponatremia: abordagem clínica e terapêutica
20010

About Fernando Abreu

Fernando Abreu is a scholar working on Pulmonary and Respiratory Medicine, Genetics, Public Health, Environmental and Occupational Health, Transplantation and Surgery, having authored 14 papers that have together received 269 indexed citations. Recurring topics across this work include Cystic Fibrosis Research Advances (5 papers), Organ Donation and Transplantation (3 papers), Renal Transplantation Outcomes and Treatments (3 papers), Congenital Ear and Nasal Anomalies (3 papers), Dialysis and Renal Disease Management (2 papers), Ion channel regulation and function (1 paper), Genetic and Kidney Cyst Diseases (1 paper) and Pharmacological Effects and Toxicity Studies (1 paper). The work is most often cited by research in Transplantation (71 citations), Nephrology (38 citations), Pulmonary and Respiratory Medicine (166 citations), Genetics (52 citations) and Psychiatry and Mental health (30 citations). Fernando Abreu has collaborated with scholars based in Portugal, United States and Brazil. Frequent co-authors include António Gomes da Costa, José Guerra, Salmo Raskin, Tatiana Rozov, Paulo José Cauduro Maróstica, Nelson Augusto Rosário Filho, Roberto Giugliani, Francisco J.C. Reis, Cindy L. Vnencak‐Jones and L. Culpi. Their work appears in journals such as Clinical Kidney Journal, Journal of Cystic Fibrosis, Mycoses, Blood and Transplantation Proceedings.

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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