Pilar Casaña

829 citations
23 papers · 542 indexed · h-index 12

Pilar Casaña

22 papers receiving 531 citations

Peers

Pilar Casaña
Comparison fields: 5 of 37
  • Hematology 506
  • Genetics 118
  • Internal Medicine 18
  • Cardiology and Cardiovascular Medicine 62
  • Genetics 62
Replace Natalia Rydz with:
Natalia Rydz Canada
C. M. Kessler United States
P. Saidi United States
Francesca Stufano Italy
Andreas Czwalinna Germany
H. P. Muller Netherlands
M Garí Spain
Fernando Luiz de Melo Bernardi Brazil
A. Tuinenburg Netherlands
K. Marsden Australia
Pilar Casaña relative to Natalia Rydz Canada Natalia Rydz's profile →
Citations per field
00.5×1.5×2.0×
Natalia Rydz · 1×
Citations per year

Countries citing papers authored by Pilar Casaña

Since Specialization
Citations

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

Fields of papers citing papers by Pilar Casaña

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Pilar Casaña, 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 Pilar Casaña Line = papers co-authored together Pilar Casaña links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 200817
2 20081
3 200845
4 20077
5 200728
6
Von Willebrand's disease: a novel mutation, P1824H and the incidence of R1205H defect among families with dominant quantitative von Willebrand factor deficiency.
20062
7 2005237
8 200125
9 200128
10 200111
11
Evaluation of an automated method for the quantification of von Willebrand factor antigen. Its application in the study of vascular dysfunction.
20019
12 200116
13 20008
14 20001
15
Haemophilia B in a female caused by skewed inactivation of the normal X-chromosome.
20007
16 199831
17 19965
18 199511
19
[Arrhythmogenic implications of non-iatrogenic thyroid dysfunction].
19891
20
[ELISA method using microplates developed with commercial antisera for measuring von Willebrand factor antigen].
19892

About Pilar Casaña

Pilar Casaña is a scholar working on Hematology, Genetics and Genetics, having authored 23 papers that have together received 542 indexed citations. Recurring topics across this work include Platelet Disorders and Treatments (17 papers), Blood groups and transfusion (10 papers), Hemophilia Treatment and Research (10 papers), Cancer-related gene regulation (5 papers), Blood disorders and treatments (5 papers), Blood Coagulation and Thrombosis Mechanisms (4 papers), Blood properties and coagulation (3 papers) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (3 papers). The work is most often cited by research in Hematology (506 citations), Genetics (118 citations) and Internal Medicine (18 citations). Pilar Casaña has collaborated with scholars based in Spain, Italy and Netherlands. Frequent co-authors include José A. Aznar, Saturnino Haya, Ana Rosa Cid, Francisco Martı́nez, F. Baudo, Silvia Linari, Carmen Espinós, José Ignacio Leal Lorenzo, Alberto Tosetto and Stefan Lethagen. Their work appears in journals such as British Journal of Haematology, Journal of Thrombosis and Haemostasis and Thrombosis Research.

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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