S Maragall

470 citations
16 papers · 341 · h-index 8

Impact in

  • Hematology top 10%
    • Platelet Disorders and Treatments
    • Blood Coagulation and Thrombosis Mechanisms
    • Pharmacogenetics and Drug Metabolism

Papers in

S Maragall

12 papers receiving 316 citations

Peers

S Maragall
Comparison fields: 5 of 60
  • Hematology 100
  • Pharmacology 73
  • Internal Medicine 26
  • Hepatology 56
  • Biochemistry 28
Replace C Cordova with:
C Cordova Italy
Stanley B. Troup United States
R. Gross Germany
Juanwen Zhang China
Katryn N. Furuya United States
Eliane Bandinelli Brazil
Janice Rischke Canada
Carlo Giammarresi Italy
J Clèdes France
Katie L. Lannan United States
S Maragall relative to C Cordova Italy C Cordova's profile →
Citations per field
00.5×5.6×
C Cordova · 1×
Citations per year

Countries citing papers authored by S Maragall

Since Specialization
Citations

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

Fields of papers citing papers by S Maragall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1
Pharmacogenetics of acenocoumarol: cytochrome P450 CYP2C9 polymorphisms influence dose requirements and stability of anticoagulation.
200287
2 197765
3 200060
4 197837
5 200634
6 197724
7 200115
8 19797
9 19925
10
[Hemorrhagic incidents during prolonged ambulatory treatment with acenocoumarol].
19953
11 20052
12 19712
13 20090
14 19770
15 19750
16
Proceedings: Experimental modification of the platelet release reaction induced by collagen.
19750

About S Maragall

S Maragall is a scholar working on Hematology, Pulmonary and Respiratory Medicine, Genetics, Hepatology and Surgery, having authored 16 papers that have together received 341 indexed citations. Recurring topics across this work include Hemophilia Treatment and Research (7 papers), Platelet Disorders and Treatments (7 papers), Blood Coagulation and Thrombosis Mechanisms (5 papers), Blood properties and coagulation (4 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (2 papers), Liver Disease and Transplantation (2 papers), Liver Disease Diagnosis and Treatment (2 papers) and Pharmacogenetics and Drug Metabolism (1 paper). The work is most often cited by research in Hematology (100 citations), Pharmacology (73 citations), Internal Medicine (26 citations), Hepatology (56 citations) and Biochemistry (28 citations). S Maragall has collaborated with scholars based in Spain, France and Nigeria. Frequent co-authors include Ginés Escolar, Joan Carles Reverter, Antonio Ordinas, Joan Monteagudo, Dolors Tàssies, A Ordinas, Joan Rodés, R. Castillo, Jordi Bozzo and J. Bosch. Their work appears in journals such as Thrombosis Research, Thrombosis and Haemostasis, Drugs of today, Gut and Seminars in Hematology.

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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