S Lévy-Toledano

4.8k citations
135 papers · 4.1k indexed · h-index 38

S Lévy-Toledano

135 papers receiving 3.9k citations

Peers

S Lévy-Toledano
Comparison fields: 5 of 124
  • Hematology 1.6k
  • Immunology and Allergy 427
  • Genetics 359
  • Cardiology and Cardiovascular Medicine 660
  • Internal Medicine 104
Replace Carol Dangelmaier with:
Carol Dangelmaier United States
Alastair W. Poole United Kingdom
Ingeborg Hers United Kingdom
Carsten Lindschau Germany
E. Melloni Italy
Patrick Münzer Germany
Clement A. Diglio United States
S M Prescott United States
Randal A. Skidgel United States
Attila Braun Germany
S Lévy-Toledano relative to Carol Dangelmaier United States Carol Dangelmaier's profile →
Citations per field
00.5×1.5×
Carol Dangelmaier · 1×
Citations per year

Countries citing papers authored by S Lévy-Toledano

Since Specialization
Citations

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

Fields of papers citing papers by S Lévy-Toledano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20039
2 200349
3 200255
4 200182
5 200135
6 20014
7 200033
8 199946
9 199830
10 19979
11 199738
12 1996108
13 199612
14 19946
15 199052
16 199020
17 19895
18 198719
19 198317
20
[Quantitative study of bleeding time and platelet function during thrombopenic purpura].
19741

About S Lévy-Toledano

S Lévy-Toledano is a scholar working on Hematology, Genetics and Internal Medicine, having authored 135 papers that have together received 4.1k indexed citations. Recurring topics across this work include Platelet Disorders and Treatments (65 papers), Blood properties and coagulation (29 papers), Antiplatelet Therapy and Cardiovascular Diseases (20 papers), Blood Coagulation and Thrombosis Mechanisms (13 papers), Protein Kinase Regulation and GTPase Signaling (13 papers), Inflammatory mediators and NSAID effects (12 papers), Cell Adhesion Molecules Research (11 papers) and Hemoglobinopathies and Related Disorders (10 papers). The work is most often cited by research in Hematology (1.6k citations), Immunology and Allergy (427 citations) and Genetics (359 citations). S Lévy-Toledano has collaborated with scholars based in France, Hungary and United States. Frequent co-authors include Jacques Maclouf, Jacques Caen, Jocelyne Enouf, Raymonde Bredoux, Francine Rendu, Aı̈da Habib, Claudine Soria, Marijke Bryckaert, Alan T. Nurden and Jean‐Philippe Rosa. Their work appears in journals such as Biochemical Journal, British Journal of Haematology, Journal of Biological Chemistry, Thrombosis and Haemostasis and Blood.

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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