Javier Corral

7.8k citations
235 papers · 5.2k indexed · h-index 37

Javier Corral

229 papers receiving 5.1k citations

Peers

Javier Corral
Comparison fields: 5 of 136
  • Hematology 2.7k
  • Internal Medicine 698
  • Genetics 516
  • Cardiology and Cardiovascular Medicine 1.0k
  • Cancer Research 507
Replace Rafał Pawliński with:
Rafał Pawliński United States
Bernd Engelmann Germany
Zhenyu Li China
Wolfgang Bergmeier United States
Raimondo De Cristofaro Italy
Anne Angelillo‐Scherrer Switzerland
Y Morishima Japan
Gerry A. F. Nicolaes Netherlands
BC Furie United States
Jialan Shi United States
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Citations per field
00.5×1.5×
Rafał Pawliński · 1×
Citations per year

Countries citing papers authored by Javier Corral

Since Specialization
Citations

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

Fields of papers citing papers by Javier Corral

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20242
2 20249
3 20236
4 20231
5 20238
6 20233
7 20231
8 20227
9 202210
10 202217
11 20226
12 201921
13 20196
14 201910
15 201849
16 200825
17 200772
18 200728
19
Loci genéticos asociados al trastorno bipolar
20011
20
Urticaria en relación con infecciones
19990

About Javier Corral

Javier Corral is a scholar working on Hematology, Internal Medicine, Genetics, Cancer Research and Immunology and Allergy, having authored 235 papers that have together received 5.2k indexed citations. Recurring topics across this work include Blood Coagulation and Thrombosis Mechanisms (102 papers), Platelet Disorders and Treatments (41 papers), Protease and Inhibitor Mechanisms (30 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (27 papers), Blood properties and coagulation (26 papers), Venous Thromboembolism Diagnosis and Management (23 papers), Hemophilia Treatment and Research (17 papers) and Cancer-related gene regulation (11 papers). The work is most often cited by research in Hematology (2.7k citations), Internal Medicine (698 citations), Genetics (516 citations), Cardiology and Cardiovascular Medicine (1.0k citations) and Cancer Research (507 citations). Javier Corral has collaborated with scholars based in Spain, United States and United Kingdom. Frequent co-authors include Vicente Vicente, Rocío Gónzález‐Conejero, José Rivera, Marı́a Luisa Lozano, Juan Antonio Iniesta, Constantino Martı́nez, Vanessa Roldán, María Eugenia de la Morena‐Barrio, Antonia Miñano and Irene Martínez‐Martínez. Their work appears in journals such as Thrombosis and Haemostasis, Journal of Thrombosis and Haemostasis, British Journal of Haematology, Blood 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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