Pierre Gane
Impact in
- Hematology top 0.5%
- Blood groups and transfusion
- Genetics top 1%
- Hemoglobinopathies and Related Disorders
Papers in
- Hematology 57
- Blood groups and transfusion 52
- Platelet Disorders and Treatments 8
- Physiology 45
- Erythrocyte Function and Pathophysiology 41
- Co-authors
- Jean‐Pierre Cartron (47 shared papers)Yves Colin (34 shared papers)Caroline Le Van Kim (28 shared papers)Philippe Rouger (19 shared papers)Pascal Bailly (7 shared papers)Yvon Calmus (5 shared papers)Raoul Poupon (4 shared papers)Wassim El Nemer (14 shared papers)
- Journals
- Blood (18 papers)Journal of Biological Chemistry (12 papers)British Journal of Haematology (7 papers)Cytometry (4 papers)Journal of Hepatology (4 papers)
- Partner nations
- FranceUnited StatesMorocco
In The Last Decade
Pierre Gane
108 papers receiving 3.8k citations
Peers
Comparison fields: 5 of 117
- Hematology 1.3k
- Genetics 547
- Physiology 1.2k
- Hepatology 320
- Immunology and Allergy 221
Countries citing papers authored by Pierre Gane
This map shows the geographic impact of Pierre Gane'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 Pierre Gane with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pierre Gane more than expected).
Fields of papers citing papers by Pierre Gane
This network shows the impact of papers produced by Pierre Gane. 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 Pierre Gane. The network helps show where Pierre Gane may publish in the future.
Co-authors
The 25 scholars most cited alongside Pierre Gane, 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 112 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 257 | |
| 2 | 1990 | 253 | |
| 3 | 2004 | 140 | |
| 4 | 1996 | 124 | |
| 5 | 2001 | 118 | |
| 6 | 1995 | 111 | |
| 7 | 1998 | 110 | |
| 8 | 2002 | 102 | |
| 9 | 1998 | 99 | |
| 10 | 2007 | 99 | |
| 11 | 2003 | 97 | |
| 12 | 1999 | 93 | |
| 13 | 2003 | 86 | |
| 14 | 2005 | 81 | |
| 15 | 1996 | 76 | |
| 16 | 2002 | 74 | |
| 17 | 2000 | 69 | |
| 18 | 2004 | 67 | |
| 19 | 2005 | 63 | |
| 20 | 1997 | 58 |
About Pierre Gane
Pierre Gane is a scholar working on Hematology, Physiology, Molecular Biology, Immunology and Genetics, having authored 112 papers that have together received 3.8k indexed citations. Recurring topics across this work include Blood groups and transfusion (52 papers), Erythrocyte Function and Pathophysiology (41 papers), Monoclonal and Polyclonal Antibodies Research (15 papers), Blood disorders and treatments (10 papers), Glycosylation and Glycoproteins Research (9 papers), Neonatal Health and Biochemistry (9 papers), T-cell and B-cell Immunology (9 papers) and Platelet Disorders and Treatments (8 papers). The work is most often cited by research in Hematology (1.3k citations), Genetics (547 citations), Physiology (1.2k citations), Hepatology (320 citations) and Immunology and Allergy (221 citations). Pierre Gane has collaborated with scholars based in France, United States and Morocco. Frequent co-authors include Jean‐Pierre Cartron, Yves Colin, Caroline Le Van Kim, Philippe Rouger, Pascal Bailly, Yvon Calmus, Raoul Poupon, Wassim El Nemer, Chantal Bauvy and Éric Ogier‐Denis. Their work appears in journals such as Blood, Journal of Biological Chemistry, British Journal of Haematology, Cytometry and Journal of Hepatology.
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.