P.Y. Scarabin

567 citations
19 papers · 433 indexed · h-index 8

P.Y. Scarabin

19 papers receiving 411 citations

Peers

P.Y. Scarabin
Comparison fields: 5 of 56
  • Hematology 225
  • Internal Medicine 44
  • Cancer Research 144
  • Cardiology and Cardiovascular Medicine 133
  • Endocrinology, Diabetes and Metabolism 67
Replace D C Rijken with:
D C Rijken Belgium
J Valadier France
B Lombardi Italy
Fletcher Ap United States
I Canavy France
M.P.J. van Goor Netherlands
Mariëlle J. Tempelman Netherlands
Kousuke Kumeda Japan
Sarra Saidi Tunisia
Corinna Böttiger Germany
P.Y. Scarabin relative to D C Rijken Belgium D C Rijken's profile →
Citations per field
00.5×1.5×
D C Rijken · 1×
Citations per year

Countries citing papers authored by P.Y. Scarabin

Since Specialization
Citations

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

Fields of papers citing papers by P.Y. Scarabin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by P.Y. Scarabin. 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 P.Y. Scarabin. The network helps show where P.Y. Scarabin may publish in the future.

Co-authorship network

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

All Works

19 of 19 papers shown
#Work
1 20111
2 20091
3
Association between TAFI antigen and Ala l47Thr polymorphism of the TAFI gene and the angina pectoris incidence
200347
4 20023
5 200012
6 1995200
7 19911
8 19903
9 19902
10 198977
11 19887
12
Reliability of a single beta-thromboglobulin measurement in a diabetic population: importance of PGE1 in anticoagulant mixture. Damad Study Group.
19871
13 19876
14 19871
15 19852
16 19817
17 198012
18 198043
19 19797

About P.Y. Scarabin

P.Y. Scarabin is a scholar working on Hematology, Ophthalmology, Endocrinology, Diabetes and Metabolism, Internal Medicine and Cardiology and Cardiovascular Medicine, having authored 19 papers that have together received 433 indexed citations. Recurring topics across this work include Blood Coagulation and Thrombosis Mechanisms (5 papers), Blood properties and coagulation (3 papers), Retinal Diseases and Treatments (3 papers), Retinal Imaging and Analysis (3 papers), Platelet Disorders and Treatments (2 papers), Antiplatelet Therapy and Cardiovascular Diseases (2 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers) and Adipokines, Inflammation, and Metabolic Diseases (2 papers). The work is most often cited by research in Hematology (225 citations), Internal Medicine (44 citations), Cancer Research (144 citations), Cardiology and Cardiovascular Medicine (133 citations) and Endocrinology, Diabetes and Metabolism (67 citations). P.Y. Scarabin has collaborated with scholars based in France, United Kingdom and Australia. Frequent co-authors include M Samama, Dominique Arveiler, Giang Huong Nguyen, Mats Rånby, L. Bara, Viviane Nicaud, A. Evans, Adriano Henney, Sally J. Dawson and G. Luc. Their work appears in journals such as Thrombosis and Haemostasis, Thrombosis Research, Maturitas, Journal of Human Hypertension and European Psychiatry.

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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