Pascal Bailly

1.8k citations
54 papers · 1.3k indexed · h-index 20

Impact in

  • Hematology top 1%
    • Blood groups and transfusion
  • Physiology top 5%
    • Erythrocyte Function and Pathophysiology

Papers in

    • Blood groups and transfusion 36
    • Platelet Disorders and Treatments 7
    • Erythrocyte Function and Pathophysiology 33

Pascal Bailly

52 papers receiving 1.3k citations

Peers

Pascal Bailly
Comparison fields: 5 of 93
  • Hematology 734
  • Physiology 709
  • Genetics 245
  • Clinical Biochemistry 83
  • Immunology and Allergy 56
Replace Hillard Rubin with:
Hillard Rubin United States
Amanda P. Cline United States
Y Mory Israel
Pascale Texier France
Marı́a Simarro Spain
R.P. Creagan United States
Éric Milot Canada
Shigeki Miyawaki Japan
A-C Syvänen Sweden
Christopher W. Peterson United States
Pascal Bailly relative to Hillard Rubin United States Hillard Rubin's profile →
Citations per field
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Hillard Rubin · 1×
Citations per year

Countries citing papers authored by Pascal Bailly

Since Specialization
Citations

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

Fields of papers citing papers by Pascal Bailly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20220
2 20183
3
RH diversity in Mali: Characterization of a new haplotype RHD*DIVa/RHCE*ceTI(D2)
20160
4 201412
5 201121
6 201110
7 200913
8 200920
9 200936
10 200912
11 200813
12 200332
13 200274
14 200268
15 200230
16 200069
17 199814
18 199695
19 1995133
20 19929

About Pascal Bailly

Pascal Bailly is a scholar working on Hematology, Physiology, Genetics, Genetics and Immunology and Allergy, having authored 54 papers that have together received 1.3k indexed citations. Recurring topics across this work include Blood groups and transfusion (36 papers), Erythrocyte Function and Pathophysiology (33 papers), Hemoglobinopathies and Related Disorders (9 papers), Platelet Disorders and Treatments (7 papers), Blood disorders and treatments (7 papers), Glycosylation and Glycoproteins Research (5 papers), Pancreatic function and diabetes (5 papers) and Neonatal Health and Biochemistry (4 papers). The work is most often cited by research in Hematology (734 citations), Physiology (709 citations), Genetics (245 citations), Clinical Biochemistry (83 citations) and Immunology and Allergy (56 citations). Pascal Bailly has collaborated with scholars based in France, Finland and United States. Frequent co-authors include Jean‐Pierre Cartron, Jacques Chiaroni, Pierre Gane, Marie‐Geneviève Mattéi, Monique Silvy, Martine Huet, Sonia Martial, Bernadette Olivès, Nicole Lucien and Nathalie Roudier. Their work appears in journals such as Transfusion, Journal of Biological Chemistry, British Journal of Haematology, Blood and European Journal of Biochemistry.

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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