P. Bailly
Impact in
- Hematology top 1%
- Blood groups and transfusion
- Physiology top 2%
- Erythrocyte Function and Pathophysiology
Papers in
- Hematology 20
- Blood groups and transfusion 20
- Physiology 14
- Erythrocyte Function and Pathophysiology 13
- Co-authors
- R. Alan B. Ezekowitz (1 shared paper)K Sastry (1 shared paper)Jean‐Pierre Cartron (8 shared papers)Caroline Le Van Kim (5 shared papers)Yves Colin (5 shared papers)Patricia Hermand (5 shared papers)Baya Chérif‐Zahar (3 shared papers)Dominique Blanchard (2 shared papers)
- Journals
- Blood (6 papers)Vox Sanguinis (4 papers)Transfusion (2 papers)Proceedings of the National Academy of Sciences (2 papers)Immunogenetics (1 paper)
- Partner nations
- FranceUnited StatesSwitzerland
In The Last Decade
P. Bailly
28 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 81
- Hematology 883
- Physiology 686
- Genetics 185
- Immunology 361
- Immunology and Allergy 70
Countries citing papers authored by P. Bailly
This map shows the geographic impact of P. 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 P. Bailly with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. Bailly more than expected).
Fields of papers citing papers by P. Bailly
This network shows the impact of papers produced by P. 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 P. Bailly. The network helps show where P. Bailly may publish in the future.
Co-authors
The 25 scholars most cited alongside P. 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1990 | 435 | |
| 2 | 1990 | 274 | |
| 3 | 1998 | 149 | |
| 4 | 1997 | 109 | |
| 5 | 1994 | 101 | |
| 6 | 1998 | 97 | |
| 7 | 1994 | 97 | |
| 8 | 1995 | 71 | |
| 9 | 2002 | 67 | |
| 10 | 1993 | 56 | |
| 11 | 1995 | 39 | |
| 12 | 1993 | 39 | |
| 13 | 2012 | 35 | |
| 14 | 1995 | 34 | |
| 15 | 1996 | 30 | |
| 16 | 2012 | 26 | |
| 17 | 1986 | 21 | |
| 18 | 2012 | 20 | |
| 19 | 2020 | 12 | |
| 20 | 1998 | 8 |
About P. Bailly
P. Bailly is a scholar working on Hematology, Physiology, Genetics, Molecular Biology and Immunology, having authored 28 papers that have together received 1.8k indexed citations. Recurring topics across this work include Blood groups and transfusion (20 papers), Erythrocyte Function and Pathophysiology (13 papers), Hemoglobinopathies and Related Disorders (5 papers), Ion Transport and Channel Regulation (2 papers), Metabolism and Genetic Disorders (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Immune Cell Function and Interaction (2 papers) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Hematology (883 citations), Physiology (686 citations), Genetics (185 citations), Immunology (361 citations) and Immunology and Allergy (70 citations). P. Bailly has collaborated with scholars based in France, United States and Switzerland. Frequent co-authors include R. Alan B. Ezekowitz, K Sastry, Jean‐Pierre Cartron, Caroline Le Van Kim, Yves Colin, Patricia Hermand, Baya Chérif‐Zahar, Dominique Blanchard, JP Cartron and C Bloy. Their work appears in journals such as Blood, Vox Sanguinis, Transfusion, Proceedings of the National Academy of Sciences and Immunogenetics.
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.