Francisca Sivera

5.0k total citations
74 papers, 2.2k citations indexed

About

Francisca Sivera is a scholar working on Rheumatology, Nephrology and Surgery. According to data from OpenAlex, Francisca Sivera has authored 74 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Rheumatology, 39 papers in Nephrology and 24 papers in Surgery. Recurrent topics in Francisca Sivera's work include Gout, Hyperuricemia, Uric Acid (39 papers), Spondyloarthritis Studies and Treatments (23 papers) and Case Reports on Hematomas (18 papers). Francisca Sivera is often cited by papers focused on Gout, Hyperuricemia, Uric Acid (39 papers), Spondyloarthritis Studies and Treatments (23 papers) and Case Reports on Hematomas (18 papers). Francisca Sivera collaborates with scholars based in Spain, Netherlands and Italy. Francisca Sivera's co-authors include Eliseo Pascual, Mariano Andrés, Fernando Pérez-Ruiz, Dennis McGonagle, E. Hensor, Laura C. Coates, Helena Marzo‐Ortega, Paul Emery, Thomas Bardin and Alexander N. Bennett and has published in prestigious journals such as Nature Reviews Drug Discovery, Cochrane Database of Systematic Reviews and Annals of the Rheumatic Diseases.

In The Last Decade

Francisca Sivera

66 papers receiving 2.1k citations

Peers

Francisca Sivera
Comparison fields: 5 of 107
  • Rheumatology 1.3k
  • Nephrology 1.2k
  • Surgery 670
  • Molecular Biology 264
  • Immunology 253
Replace Alaa Sabry with:
Alaa Sabry Egypt
Charles R. Swanepoel South Africa
Scott Baumgartner United States
Lorenzo Cavagna Italy
Georges Saab United States
Smeeta Sinha United Kingdom
John Londoño Colombia
Piero Stratta Italy
Seung‐Geun Lee South Korea
Guy Rostoker France
Alaa Sabry Egypt View profile →
Citations per field, relative to Francisca Sivera
Francisca Sivera · 1×
Citations per year, relative to Francisca Sivera
Francisca Sivera · 1×

Countries citing papers authored by Francisca Sivera

Since Specialization
Citations

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

Fields of papers citing papers by Francisca Sivera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francisca Sivera

This figure shows the co-authorship network connecting the top 25 collaborators of Francisca Sivera. A scholar is included among the top collaborators of Francisca Sivera 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 Francisca Sivera. Francisca Sivera is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 7
3 2
4 0
5 8
6 2
7 8
8 51
9 5
10 7
11 67
12 15
13 2
14 81
15 37
16 136
17 266
18 66
19 1
20 2

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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