Pau Cerdà

36 total papers · 450 total citations
21 papers, 174 citations indexed

About

Pau Cerdà is a scholar working on Genetics, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Pau Cerdà has authored 21 papers receiving a total of 174 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Genetics, 9 papers in Pulmonary and Respiratory Medicine and 6 papers in Surgery. Recurrent topics in Pau Cerdà's work include Vascular Anomalies and Treatments (14 papers), Tracheal and airway disorders (6 papers) and Venous Thromboembolism Diagnosis and Management (5 papers). Pau Cerdà is often cited by papers focused on Vascular Anomalies and Treatments (14 papers), Tracheal and airway disorders (6 papers) and Venous Thromboembolism Diagnosis and Management (5 papers). Pau Cerdà collaborates with scholars based in Spain, Italy and United States. Pau Cerdà's co-authors include Antoni Riera‐Mestre, Adriana Iriarte, Francesc Viñals, Cecilia Becattini, José María Mora‐Luján, R.M. Penín, Albert Figueras, J. Ribas, Anna Jucglá and José Castellote and has published in prestigious journals such as Circulation, PLoS ONE and Journal of Thrombosis and Haemostasis.

In The Last Decade

Pau Cerdà

18 papers receiving 173 citations

Author Peers

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

Author Last Decade Papers Cites
Pau Cerdà 110 78 44 32 24 21 174
Vincent Grobost 25 0.2× 91 1.2× 56 1.3× 9 0.3× 4 0.2× 18 240
G. Armengol 32 0.3× 32 0.4× 27 0.6× 33 1.0× 35 1.5× 21 187
Doug Helmersen 35 0.3× 164 2.1× 41 0.9× 49 1.5× 129 5.4× 18 246
K. Marsden 36 0.3× 22 0.3× 35 0.8× 19 0.6× 57 2.4× 18 226
Catherine Leroy‐Matheron 68 0.6× 15 0.2× 35 0.8× 62 1.9× 32 1.3× 17 228
J.L. Patier de la Peña 26 0.2× 35 0.4× 26 0.6× 17 0.7× 29 122
Stefani Parmentier 112 1.0× 19 0.2× 20 0.5× 16 0.5× 13 0.5× 21 194
Hoa Tran 46 0.4× 29 0.4× 20 0.5× 37 1.2× 39 1.6× 22 239
Marcela Torres 63 0.6× 21 0.3× 9 0.2× 20 0.6× 10 0.4× 18 178
Gaurav Kistangari 30 0.3× 33 0.4× 52 1.2× 8 0.3× 10 0.4× 16 246

Countries citing papers authored by Pau Cerdà

Since Specialization
Citations

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

Fields of papers citing papers by Pau Cerdà

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pau Cerdà

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