Philippe Maillet
Impact in
- Physiology top 10%
- Erythrocyte Function and Pathophysiology
- Genetics top 10%
- BRCA gene mutations in cancer
- Hemoglobinopathies and Related Disorders
Papers in
- Physiology 18
- Erythrocyte Function and Pathophysiology 17
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- DNA Repair Mechanisms 10
- Glycosylation and Glycoproteins Research 4
- Co-authors
- Jean Delaunay (19 shared papers)Nicole Alloisio (10 shared papers)Faouzi Baklouti (13 shared papers)Pierre Olivier Chappuis (5 shared papers)Fabrice Bonnet (4 shared papers)P. Jollès (3 shared papers)Rabah Bakour (4 shared papers)Kada Boualga (4 shared papers)
- Journals
- Blood (7 papers)Human Mutation (6 papers)Biochemical Journal (2 papers)Leukemia Research (2 papers)International Journal of Cancer (2 papers)
- Partner nations
- FranceSwitzerlandAlgeria
In The Last Decade
Philippe Maillet
46 papers receiving 853 citations
Peers
Comparison fields: 5 of 68
- Physiology 255
- Genetics 83
- Cell Biology 128
- Cancer Research 106
- Hematology 76
Countries citing papers authored by Philippe Maillet
This map shows the geographic impact of Philippe Maillet'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 Philippe Maillet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philippe Maillet more than expected).
Fields of papers citing papers by Philippe Maillet
This network shows the impact of papers produced by Philippe Maillet. 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 Philippe Maillet. The network helps show where Philippe Maillet may publish in the future.
Co-authors
The 25 scholars most cited alongside Philippe Maillet, 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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 54 | |
| 2 | 2000 | 48 | |
| 3 | 2010 | 43 | |
| 4 | 1997 | 43 | |
| 5 | 1992 | 42 | |
| 6 | 1988 | 38 | |
| 7 | Molecular genetics of hereditary elliptocytosis and hereditary spherocytosis. | 1996 | 38 |
| 8 | 1995 | 37 | |
| 9 | 2010 | 36 | |
| 10 | 1996 | 32 | |
| 11 | 1996 | 31 | |
| 12 | 2012 | 30 | |
| 13 | 1988 | 28 | |
| 14 | 2003 | 28 | |
| 15 | 1997 | 28 | |
| 16 | 1997 | 27 | |
| 17 | 2002 | 24 | |
| 18 | 2000 | 23 | |
| 19 | 1999 | 22 | |
| 20 | 2008 | 18 |
About Philippe Maillet
Philippe Maillet is a scholar working on Physiology, Molecular Biology, Pulmonary and Respiratory Medicine, Cell Biology and Genetics, having authored 48 papers that have together received 892 indexed citations. Recurring topics across this work include Erythrocyte Function and Pathophysiology (17 papers), Blood properties and coagulation (12 papers), DNA Repair Mechanisms (10 papers), BRCA gene mutations in cancer (7 papers), Pancreatic function and diabetes (6 papers), Acute Lymphoblastic Leukemia research (5 papers), Proteoglycans and glycosaminoglycans research (4 papers) and Glycosylation and Glycoproteins Research (4 papers). The work is most often cited by research in Physiology (255 citations), Genetics (83 citations), Cell Biology (128 citations), Cancer Research (106 citations) and Hematology (76 citations). Philippe Maillet has collaborated with scholars based in France, Switzerland and Algeria. Frequent co-authors include Jean Delaunay, Nicole Alloisio, Faouzi Baklouti, Pierre Olivier Chappuis, Fabrice Bonnet, P. Jollès, Rabah Bakour, Kada Boualga, J.-P. Périn and Agnès Vallier. Their work appears in journals such as Blood, Human Mutation, Biochemical Journal, Leukemia Research and International Journal of Cancer.
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.