Fernando Saraiva

46 total papers · 1.2k total citations
26 papers, 797 citations indexed

About

Fernando Saraiva is a scholar working on Rheumatology, Surgery and Epidemiology. According to data from OpenAlex, Fernando Saraiva has authored 26 papers receiving a total of 797 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Rheumatology, 8 papers in Surgery and 6 papers in Epidemiology. Recurrent topics in Fernando Saraiva's work include Rheumatoid Arthritis Research and Therapies (7 papers), Musculoskeletal synovial abnormalities and treatments (5 papers) and Shoulder Injury and Treatment (3 papers). Fernando Saraiva is often cited by papers focused on Rheumatoid Arthritis Research and Therapies (7 papers), Musculoskeletal synovial abnormalities and treatments (5 papers) and Shoulder Injury and Treatment (3 papers). Fernando Saraiva collaborates with scholars based in Portugal, United Kingdom and United States. Fernando Saraiva's co-authors include K Le Lay, Jordi Carbonell, Francis Blotman, Francesca Nacci, Michael Spaeth, E Thomas, Jean-Paul Caubère, B Bannwarth, Jaime Branco and Inmaculada Failde and has published in prestigious journals such as SHILAP Revista de lepidopterología, Annals of the Rheumatic Diseases and Digestive Diseases and Sciences.

In The Last Decade

Fernando Saraiva

24 papers receiving 763 citations

Hit Papers

Prevalence of Fibromyalgi... 2009 2026 2014 2020 2009 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Fernando Saraiva 560 352 121 102 101 26 797
Jordi Carbonell 669 1.2× 496 1.4× 165 1.4× 90 0.9× 146 1.4× 28 1.0k
David A. Bell 534 1.0× 441 1.3× 146 1.2× 107 1.0× 49 0.5× 17 932
Eduardo S. Paiva 493 0.9× 309 0.9× 119 1.0× 111 1.1× 64 0.6× 34 724
Selwyn Richards 549 1.0× 205 0.6× 71 0.6× 69 0.7× 111 1.1× 19 925
Antonio Collado 474 0.8× 337 1.0× 79 0.7× 80 0.8× 100 1.0× 37 833
Timothy McAlindon 279 0.5× 226 0.6× 189 1.6× 77 0.8× 44 0.4× 22 793
Marcos Renato de Assis 450 0.8× 307 0.9× 93 0.8× 70 0.7× 54 0.5× 30 701
J. Xavier 687 1.2× 515 1.5× 55 0.5× 151 1.5× 89 0.9× 17 837
Alphons J.L. de Jong 300 0.5× 265 0.8× 176 1.5× 32 0.3× 80 0.8× 25 1.0k
E Myon 343 0.6× 244 0.7× 48 0.4× 95 0.9× 77 0.8× 26 934

Countries citing papers authored by Fernando Saraiva

Since Specialization
Citations

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

Fields of papers citing papers by Fernando Saraiva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fernando Saraiva

This figure shows the co-authorship network connecting the top 25 collaborators of Fernando Saraiva. A scholar is included among the top collaborators of Fernando Saraiva 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 Saraiva. Fernando Saraiva 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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