Fernando Teixeira e Costa

16 total papers · 649 total citations
4 papers, 50 citations indexed

About

Fernando Teixeira e Costa is a scholar working on Nephrology, Hematology and Surgery. According to data from OpenAlex, Fernando Teixeira e Costa has authored 4 papers receiving a total of 50 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Nephrology, 2 papers in Hematology and 1 paper in Surgery. Recurrent topics in Fernando Teixeira e Costa's work include Dialysis and Renal Disease Management (3 papers), Cell Adhesion Molecules Research (1 paper) and Renal and related cancers (1 paper). Fernando Teixeira e Costa is often cited by papers focused on Dialysis and Renal Disease Management (3 papers), Cell Adhesion Molecules Research (1 paper) and Renal and related cancers (1 paper). Fernando Teixeira e Costa collaborates with scholars based in Portugal, Belgium and Netherlands. Fernando Teixeira e Costa's co-authors include Aura Ramos, António Manuel Pinho Ramos, Hugo M. Santos, José Luís Capelo, J.E. Araújo, Mariana S. Sousa, Carlos Lodeiro, João Paulo Oliveira, María José Brito and Susana P. Alves and has published in prestigious journals such as Journal of Medical Genetics, Journal of Proteomics and Peritoneal Dialysis International.

In The Last Decade

Fernando Teixeira e Costa

4 papers receiving 50 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Fernando Teixeira e Costa	21	16	14	11	6	4	50
Albane Brodin-Sartorius	22 1.0×	18 1.1×	25 1.8×	13 1.2×	14 2.3×	8	214
Oktay Musayev	26 1.2×	24 1.5×	13 0.9×	8 0.7×	4 0.7×	6	236
Jesper Løken	14 0.7×	7 0.4×	12 0.9×	4 0.4×	8 1.3×	4	42
Sheng Kuo	42 2.0×	4 0.3×	17 1.2×	5 0.5×	6 1.0×	4	59
Antoine Deney	16 0.8×	9 0.6×	7 0.5×	24 2.2×	2 0.3×	6	47
Gerhard Klingenschmid	7 0.3×	11 0.7×	13 0.9×	18 1.6×	2 0.3×	4	55
Andrea Campo	14 0.7×	7 0.4×	25 1.8×	3 0.3×	7 1.2×	5	41
F. Duchêne	8 0.4×	4 0.3×	12 0.9×	22 2.0×	2 0.3×	5	45
Hester van Willigenburg	11 0.5×	7 0.4×	7 0.5×	22 2.0×	2 0.3×	5	50
Tomohiro Dohke	15 0.7×	27 1.7×	32 2.3×	69 6.3×	2 0.3×	5	243

Countries citing papers authored by Fernando Teixeira e Costa

Since Specialization

Citations

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

Fields of papers citing papers by Fernando Teixeira e Costa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fernando Teixeira e Costa

This figure shows the co-authorship network connecting the top 25 collaborators of Fernando Teixeira e Costa. A scholar is included among the top collaborators of Fernando Teixeira e Costa based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Fernando Teixeira e Costa. Fernando Teixeira e Costa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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