Paz Lavilla

13 total papers · 3.0k total citations
8 papers, 2.1k citations indexed

About

Paz Lavilla is a scholar working on Rheumatology, Immunology and Surgery. According to data from OpenAlex, Paz Lavilla has authored 8 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Rheumatology, 3 papers in Immunology and 2 papers in Surgery. Recurrent topics in Paz Lavilla's work include Systemic Lupus Erythematosus Research (5 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Systemic Sclerosis and Related Diseases (2 papers). Paz Lavilla is often cited by papers focused on Systemic Lupus Erythematosus Research (5 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Systemic Sclerosis and Related Diseases (2 papers). Paz Lavilla collaborates with scholars based in Spain, Belgium and Türkiye. Paz Lavilla's co-authors include Ricard Cervera, Enrique de Ramón, Alessandro Mathieu, Munther A. Khamashta, Josep Font, Gian Domenico Sebastiani, AO. Aydintug, M Ingelmo, Antonio Fernández‐Nebro and Frédéric Houssiau and has published in prestigious journals such as Cancer, Medicine and Thrombosis Research.

In The Last Decade

Paz Lavilla

8 papers receiving 2.1k citations

Hit Papers

Morbidity and Mortality i... 1993 2026 2004 2015 2003 1993 250 500 750

Author Peers

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

Author Last Decade Papers Cites
Paz Lavilla 1.9k 1.0k 433 404 310 8 2.1k
AO. Aydintug 1.9k 1.0× 1000 1.0× 436 1.0× 410 1.0× 301 1.0× 11 2.2k
Joung-Liang Lan 1.9k 1.0× 1.3k 1.3× 717 1.7× 484 1.2× 308 1.0× 24 3.2k
Gurtej S. Cheema 1.3k 0.7× 1.2k 1.2× 412 1.0× 487 1.2× 173 0.6× 26 2.8k
J. D. Reveille 1.6k 0.9× 964 1.0× 284 0.7× 291 0.7× 200 0.6× 31 2.0k
Dana Tegzová 1.7k 0.9× 1.0k 1.0× 656 1.5× 200 0.5× 166 0.5× 22 2.1k
H Chwalińska-Sadowska 1.3k 0.7× 990 1.0× 257 0.6× 272 0.7× 179 0.6× 29 1.9k
Dorothy Estes 1.4k 0.8× 721 0.7× 241 0.6× 318 0.8× 522 1.7× 14 1.9k
C. Michael Neuwelt 1.5k 0.8× 1.1k 1.1× 745 1.7× 239 0.6× 153 0.5× 17 2.0k
Douglas R. Hough 1.8k 1.0× 1.5k 1.5× 858 2.0× 230 0.6× 131 0.4× 16 2.4k
Lilia Pineda 2.3k 1.2× 1.8k 1.8× 1.1k 2.6× 287 0.7× 207 0.7× 17 2.9k

Countries citing papers authored by Paz Lavilla

Since Specialization
Citations

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

Fields of papers citing papers by Paz Lavilla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paz Lavilla

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