Pau Cerdà

488 citations
21 papers · 192 · h-index 8

Impact in

  • Genetics top 10%
    • Vascular Anomalies and Treatments
    • Venous Thromboembolism Diagnosis and Management

Papers in

Pau Cerdà

19 papers receiving 191 citations

Peers

Pau Cerdà
Comparison fields: 5 of 40
  • Genetics 121
  • Internal Medicine 30
  • Pulmonary and Respiratory Medicine 57
  • Marketing 16
  • Hematology 13
Replace Raymond P. Chan with:
Raymond P. Chan Canada
Imtiaz Khurshid United States
Joyce Johnson United States
Marco Waleboer Netherlands
Markus Sosada Germany
Giovanna Pasculli Italy
Ulises Zanetto United Kingdom
Luísa Carvalho Portugal
Annette Neylon United States
Christian Platini France
Pau Cerdà relative to Raymond P. Chan Canada Raymond P. Chan's profile →
Citations per field
00.5×
Raymond P. Chan · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Pau Cerdà, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Pau Cerdà Line = papers co-authored together Pau Cerdà links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201939
2 201924
3 201924
4 202022
5 202013
6 201913
7 202311
8 20238
9 20207
10 20237
11 20217
12 20235
13 20233
14 20213
15 20222
16 20231
17 20211
18 20161
19
[Markers of HIV infection in prostitutes: analysis of preventive and risk factors].
19891
20 20240

About Pau Cerdà

Pau Cerdà is a scholar working on Genetics, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Surgery and Marketing, having authored 21 papers that have together received 192 indexed citations. Recurring topics across this work include Vascular Anomalies and Treatments (14 papers), Venous Thromboembolism Diagnosis and Management (2 papers), Sharing Economy and Platforms (2 papers), Vascular Malformations and Hemangiomas (2 papers), Cardiovascular Function and Risk Factors (2 papers), Pulmonary Hypertension Research and Treatments (2 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (1 paper) and Hyperglycemia and glycemic control in critically ill and hospitalized patients (1 paper). The work is most often cited by research in Genetics (121 citations), Internal Medicine (30 citations), Pulmonary and Respiratory Medicine (57 citations), Marketing (16 citations) and Hematology (13 citations). Pau Cerdà has collaborated with scholars based in Spain, Italy and Norway. Frequent co-authors include Antoni Riera‐Mestre, Adriana Iriarte, Francesc Viñals, José María Mora‐Luján, J. Ribas, Cecilia Becattini, Anna Jucglá, Esther Alba, R.M. Penín and Xavier Corbella. Their work appears in journals such as European Journal of Internal Medicine, Journal of Clinical Medicine, Orphanet Journal of Rare Diseases, Journal of Thrombosis and Haemostasis and Circulation.

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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