Pascal Bailly
Impact in
- Hematology top 1%
- Blood groups and transfusion
- Physiology top 5%
- Erythrocyte Function and Pathophysiology
Papers in
- Hematology 39
- Blood groups and transfusion 36
- Platelet Disorders and Treatments 7
- Physiology 33
- Erythrocyte Function and Pathophysiology 33
- Co-authors
- Jean‐Pierre Cartron (18 shared papers)Jacques Chiaroni (33 shared papers)Pierre Gane (5 shared papers)Marie‐Geneviève Mattéi (3 shared papers)Monique Silvy (16 shared papers)Martine Huet (3 shared papers)Sonia Martial (2 shared papers)Bernadette Olivès (2 shared papers)
- Journals
- Transfusion (16 papers)Journal of Biological Chemistry (6 papers)British Journal of Haematology (5 papers)Blood (4 papers)European Journal of Biochemistry (3 papers)
- Partner nations
- FranceFinlandUnited States
In The Last Decade
Pascal Bailly
52 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 93
- Hematology 734
- Physiology 709
- Genetics 245
- Clinical Biochemistry 83
- Immunology and Allergy 56
Countries citing papers authored by Pascal Bailly
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
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-authors
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.
All Works
Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1995 | 133 | |
| 2 | 1996 | 124 | |
| 3 | 1996 | 95 | |
| 4 | 1999 | 92 | |
| 5 | 2002 | 74 | |
| 6 | 2000 | 69 | |
| 7 | 2002 | 68 | |
| 8 | 2010 | 46 | |
| 9 | 2009 | 43 | |
| 10 | 2000 | 43 | |
| 11 | 1995 | 39 | |
| 12 | 2009 | 36 | |
| 13 | 2010 | 35 | |
| 14 | 2003 | 32 | |
| 15 | 2002 | 30 | |
| 16 | 2013 | 30 | |
| 17 | 2018 | 26 | |
| 18 | 2002 | 22 | |
| 19 | 2011 | 21 | |
| 20 | 2009 | 20 |
About Pascal Bailly
Pascal Bailly is a scholar working on Hematology, Physiology, Genetics, Molecular Biology and Genetics, 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), Blood disorders and treatments (7 papers), Platelet Disorders and Treatments (7 papers), Pancreatic function and diabetes (5 papers), Glycosylation and Glycoproteins Research (5 papers) and Forensic and Genetic Research (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 V. Bony. 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.