S Vauléon

402 citations
9 papers · 319 · h-index 8

Impact in

  • Hematology top 10%
    • Iron Metabolism and Disorders
    • Erythropoietin and Anemia Treatment
    • Multiple Myeloma Research and Treatments
  • Genetics top 10%
    • Hemoglobinopathies and Related Disorders

Papers in

    • Hemoglobinopathies and Related Disorders 3
    • Chronic Lymphocytic Leukemia Research 2
    • Iron Metabolism and Disorders 4
    • Erythropoietin and Anemia Treatment 2

S Vauléon

9 papers receiving 306 citations

Peers

S Vauléon
Comparison fields: 5 of 49
  • Hematology 148
  • Genetics 104
  • Immunology 57
  • Oncology 66
  • Molecular Biology 111
Replace Matthew A. Loberg with:
Matthew A. Loberg United States
Shi Chen United States
Ruzhica Bogeska Germany
Amritha Varshini Hanasoge Somasundara United States
Rivka Yatuv Israel
Florence Zylbersztejn France
Zhenqing Xie China
Wanke Zhao United States
Stéphane M. Camus France
Shawn Sarkaria United States
S Vauléon relative to Matthew A. Loberg United States Matthew A. Loberg's profile →
Citations per field
00.5×10×20×34×
Matthew A. Loberg · 1×
Citations per year

Countries citing papers authored by S Vauléon

Since Specialization
Citations

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

Fields of papers citing papers by S Vauléon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 201479
2 201969
3 201668
4 201760
5 201515
6 201210
7 20138
8 20157
9 20123

About S Vauléon

S Vauléon is a scholar working on Genetics, Hematology, Molecular Biology, Pathology and Forensic Medicine and Oncology, having authored 9 papers that have together received 319 indexed citations. Recurring topics across this work include Iron Metabolism and Disorders (4 papers), Hemoglobinopathies and Related Disorders (3 papers), Chronic Lymphocytic Leukemia Research (2 papers), RNA modifications and cancer (2 papers), Cancer-related molecular mechanisms research (2 papers), Erythropoietin and Anemia Treatment (2 papers), Chemokine receptors and signaling (2 papers) and Lymphoma Diagnosis and Treatment (1 paper). The work is most often cited by research in Hematology (148 citations), Genetics (104 citations), Immunology (57 citations), Oncology (66 citations) and Molecular Biology (111 citations). S Vauléon has collaborated with scholars based in Netherlands, United Kingdom and Italy. Frequent co-authors include Kai Riecke, Luciana Summo, Frank Schwoebel, Dorine W. Swinkels, Stefan Zöllner, Malcolm Boyce, Coby M. Laarakkers, Steve Warrington, Matthijs Kox and Matthias Baumann. Their work appears in journals such as Blood, British Journal of Pharmacology, Leukemia, Critical Care and Haematologica.

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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