Erik Forestier
- Hematology top 0.2%
- Acute Myeloid Leukemia Research 46
- Chronic Myeloid Leukemia Treatments 18
- Hematopoietic Stem Cell Transplantation 13
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- Acute Lymphoblastic Leukemia research 88
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- Childhood Cancer Survivors' Quality of Life 31
- Genetics top 2%
- Genomic variations and chromosomal abnormalities 11
- Oncology top 5%
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- Epigenetics and DNA Methylation 10
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- Lymphoma Diagnosis and Treatment 9
Erik Forestier
105 papers receiving 4.1k citations
Peers
Comparison fields: 5 of 108
- Hematology 2.3k
- Public Health, Environmental and Occupational Health 2.9k
- Pediatrics, Perinatology and Child Health 1.5k
- Genetics 378
- Oncology 745
Countries citing papers authored by Erik Forestier
This map shows the geographic impact of Erik Forestier'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 Erik Forestier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Erik Forestier more than expected).
Fields of papers citing papers by Erik Forestier
This network shows the impact of papers produced by Erik Forestier. 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 Erik Forestier. The network helps show where Erik Forestier may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Erik Forestier, 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 | 2017 | 35 | |
| 2 | 2015 | 113 | |
| 3 | 2011 | 27 | |
| 4 | 2011 | 24 | |
| 5 | 2009 | 95 | |
| 6 | Vascular density in childhood acute lymphoblastic leukemia correlates to biological factors and outcome | 2008 | 0 |
| 7 | 2008 | 60 | |
| 8 | 2008 | 28 | |
| 9 | 2007 | 22 | |
| 10 | 2006 | 8 | |
| 11 | 2006 | 9 | |
| 12 | Cellular drug sensitivity in MLL-rearranged childhood acute leukemia is correlated to partner genes and cell lineage : On behalf of the Nordic Society for Paediatric Haematology and Oncology | 2005 | 1 |
| 13 | 2005 | 93 | |
| 14 | 2003 | 15 | |
| 15 | 2003 | 85 | |
| 16 | 2002 | 81 | |
| 17 | 2001 | 24 | |
| 18 | 2001 | 12 | |
| 19 | 1998 | 15 | |
| 20 | 1997 | 21 |
About Erik Forestier
Erik Forestier is a scholar working on Hematology, Public Health, Environmental and Occupational Health, Pediatrics, Perinatology and Child Health, Genetics and Oncology, having authored 109 papers that have together received 4.2k indexed citations. Recurring topics across this work include Acute Lymphoblastic Leukemia research (88 papers), Acute Myeloid Leukemia Research (46 papers), Childhood Cancer Survivors' Quality of Life (31 papers), Chronic Myeloid Leukemia Treatments (18 papers), Hematopoietic Stem Cell Transplantation (13 papers), Genomic variations and chromosomal abnormalities (11 papers), Epigenetics and DNA Methylation (10 papers) and Lymphoma Diagnosis and Treatment (9 papers). The work is most often cited by research in Hematology (2.3k citations), Public Health, Environmental and Occupational Health (2.9k citations), Pediatrics, Perinatology and Child Health (1.5k citations), Genetics (378 citations) and Oncology (745 citations). Erik Forestier has collaborated with scholars based in Sweden, Denmark and Finland. Frequent co-authors include Kjeld Schmiegelow, Jonas Abrahamsson, Mats Heyman, Bertil Johansson, Henrik Hasle, Jesper Heldrup, Ólafur G. Jónsson, Mikael Behrendtz, Jakob Kristinsson and Niels Clausen. Their work appears in journals such as British Journal of Haematology, Blood, Leukemia, Pediatric Blood & Cancer and Genes Chromosomes and 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.