Pierre Gane
Impact in
- Hematology top 0.5%
- Blood groups and transfusion
- Genetics top 1%
- Hemoglobinopathies and Related Disorders
Papers in
- Hematology 58
- Blood groups and transfusion 53
- Platelet Disorders and Treatments 8
- Physiology 45
- Erythrocyte Function and Pathophysiology 41
- Co-authors
- Jean‐Pierre CartronYves ColinCaroline Le Van KimPhilippe RougerYvon CalmusRaoul PouponWassim El NemerPascal Bailly
- Journals
- Blood (18 papers)Journal of Biological Chemistry (12 papers)British Journal of Haematology (7 papers)Journal of Hepatology (4 papers)Cytometry (4 papers)
- Partner nations
- FranceUnited StatesSpain
In The Last Decade
Pierre Gane
108 papers receiving 3.7k citations
Peers
Comparison fields: 5 of 122
- Hematology 1.4k
- Genetics 634
- Physiology 1.5k
- Hepatology 375
- Immunology and Allergy 249
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 98 | |
| 2 | 2006 | 1 | |
| 3 | 2006 | 32 | |
| 4 | 2003 | 86 | |
| 5 | 2002 | 74 | |
| 6 | 2002 | 2 | |
| 7 | 2001 | 36 | |
| 8 | 2000 | 69 | |
| 9 | 2000 | 11 | |
| 10 | 2000 | 16 | |
| 11 | 1997 | 8 | |
| 12 | 1997 | 58 | |
| 13 | 1996 | 1 | |
| 14 | 1996 | 5 | |
| 15 | 1995 | 111 | |
| 16 | 1995 | 48 | |
| 17 | 1993 | 55 | |
| 18 | 1992 | 7 | |
| 19 | Efficacy of clorsulon and of an ivermectin-clorsulon combination in the treatment of adult Fasciola hepatica infection in cattle. | 1990 | 1 |
| 20 | 1990 | 13 |
About Pierre Gane
Pierre Gane is a scholar working on Hematology, Physiology, Transplantation, Immunology and Immunology and Allergy, having authored 112 papers that have together received 3.8k indexed citations. Recurring topics across this work include Blood groups and transfusion (53 papers), Erythrocyte Function and Pathophysiology (41 papers), Monoclonal and Polyclonal Antibodies Research (15 papers), Glycosylation and Glycoproteins Research (10 papers), Blood disorders and treatments (10 papers), T-cell and B-cell Immunology (10 papers), Neonatal Health and Biochemistry (9 papers) and Platelet Disorders and Treatments (8 papers). The work is most often cited by research in Hematology (1.4k citations), Genetics (634 citations), Physiology (1.5k citations), Hepatology (375 citations) and Immunology and Allergy (249 citations). Pierre Gane has collaborated with scholars based in France, United States and Spain. Frequent co-authors include Jean‐Pierre Cartron, Yves Colin, Caroline Le Van Kim, Philippe Rouger, Yvon Calmus, Raoul Poupon, Wassim El Nemer, Pascal Bailly, Chantal Bauvy and Patrice Codogno. Their work appears in journals such as Blood, Journal of Biological Chemistry, British Journal of Haematology, Journal of Hepatology and Cytometry.
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.