María Borrell

1.4k citations
22 papers · 343 · h-index 9

Impact in

    • Venous Thromboembolism Diagnosis and Management
  • Hematology top 10%
    • Blood Coagulation and Thrombosis Mechanisms
    • Blood groups and transfusion
    • Platelet Disorders and Treatments
    • Hemophilia Treatment and Research

Papers in

María Borrell

17 papers receiving 339 citations

Peers

María Borrell
Comparison fields: 5 of 75
  • Internal Medicine 63
  • Hematology 130
  • Genetics 41
  • Virology 16
  • Cancer Research 45
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K Deguchi Japan
S. Schauseil Germany
John Houghton United Kingdom
Cyril Cyrus Saudi Arabia
Shigenori Kanazawa Japan
Cyrus C. Hsia Canada
Iftikhar Kullo United States
Sumit Kunwar United States
M. Sata Japan
Jennifer Yui United States
María Borrell relative to K Deguchi Japan K Deguchi's profile →
Citations per field
00.5×10.8×
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Citations per year

Countries citing papers authored by María Borrell

Since Specialization
Citations

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

Fields of papers citing papers by María Borrell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005104
2 202438
3 201837
4 199834
5 202228
6 201826
7 202025
8 202117
9 199316
10 20085
11 20254
12 20253
13 20252
14 20251
15 20251
16 20191
17
[Exercise physiology and the rehabilitation of the heart transplant patient].
19951
18 20250
19 20250
20 20250

About María Borrell

María Borrell is a scholar working on Economics and Econometrics, Molecular Biology, Oncology, Hematology and Pathology and Forensic Medicine, having authored 22 papers that have together received 343 indexed citations. Recurring topics across this work include Economic and Financial Impacts of Cancer (4 papers), Health Systems, Economic Evaluations, Quality of Life (4 papers), Epigenetics and DNA Methylation (2 papers), Statistical Methods in Clinical Trials (2 papers), Platelet Disorders and Treatments (2 papers), Cardiac Ischemia and Reperfusion (2 papers), Blood Coagulation and Thrombosis Mechanisms (2 papers) and Hemophilia Treatment and Research (1 paper). The work is most often cited by research in Internal Medicine (63 citations), Hematology (130 citations), Genetics (41 citations), Virology (16 citations) and Cancer Research (45 citations). María Borrell has collaborated with scholars based in Spain, United States and Canada. Frequent co-authors include Lina Badimón, José Mateo, Arturo Oliver, Jordi Fontcuberta, Isabel Tirado, José Manuel Soria, Mafalda Oliveira, Andri Papakonstantinou, J. Fontcuberta and Núria Sala. Their work appears in journals such as Journal of Clinical Oncology, Cancer, JAMA Network Open, Blood Coagulation & Fibrinolysis and Journal of Clinical Medicine.

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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