Frédéric Millot
Impact in
- Hematology top 0.5%
- Chronic Myeloid Leukemia Treatments
- Acute Myeloid Leukemia Research
- Genetics top 1%
- Chronic Lymphocytic Leukemia Research
Papers in
- Hematology 62
- Chronic Myeloid Leukemia Treatments 55
- Acute Myeloid Leukemia Research 15
- Genetics 41
- Chronic Lymphocytic Leukemia Research 33
- Co-authors
- Meinolf Suttorp (34 shared papers)François Guilhot (23 shared papers)Nobuko Hijiya (8 shared papers)Markus Metzler (9 shared papers)Joëlle Guilhot (23 shared papers)G. Daculsi (3 shared papers)Pierre Weiss (3 shared papers)Françoise Méchinaud (11 shared papers)
In The Last Decade
Frédéric Millot
96 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 103
- Hematology 1.3k
- Genetics 837
- Rheumatology 447
- Public Health, Environmental and Occupational Health 662
- Pediatrics, Perinatology and Child Health 253
Countries citing papers authored by Frédéric Millot
This map shows the geographic impact of Frédéric Millot'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 Frédéric Millot with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frédéric Millot more than expected).
Fields of papers citing papers by Frédéric Millot
This network shows the impact of papers produced by Frédéric Millot. 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 Frédéric Millot. The network helps show where Frédéric Millot may publish in the future.
Co-authors
The 25 scholars most cited alongside Frédéric Millot, 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 99 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 137 | |
| 2 | 2011 | 123 | |
| 3 | 2004 | 122 | |
| 4 | 1999 | 110 | |
| 5 | 2005 | 89 | |
| 6 | 2014 | 88 | |
| 7 | 1998 | 80 | |
| 8 | 2010 | 79 | |
| 9 | 2014 | 78 | |
| 10 | 2005 | 71 | |
| 11 | 2005 | 64 | |
| 12 | 2017 | 64 | |
| 13 | 1997 | 64 | |
| 14 | 2014 | 51 | |
| 15 | 2010 | 46 | |
| 16 | 2014 | 46 | |
| 17 | 2013 | 45 | |
| 18 | 2017 | 44 | |
| 19 | 2010 | 41 | |
| 20 | 2017 | 40 |
About Frédéric Millot
Frédéric Millot is a scholar working on Hematology, Genetics, Public Health, Environmental and Occupational Health, Rheumatology and Pediatrics, Perinatology and Child Health, having authored 99 papers that have together received 2.3k indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (55 papers), Acute Lymphoblastic Leukemia research (34 papers), Chronic Lymphocytic Leukemia Research (33 papers), Eosinophilic Disorders and Syndromes (17 papers), Acute Myeloid Leukemia Research (15 papers), Lymphoma Diagnosis and Treatment (7 papers), Neuroblastoma Research and Treatments (6 papers) and Childhood Cancer Survivors' Quality of Life (6 papers). The work is most often cited by research in Hematology (1.3k citations), Genetics (837 citations), Rheumatology (447 citations), Public Health, Environmental and Occupational Health (662 citations) and Pediatrics, Perinatology and Child Health (253 citations). Frédéric Millot has collaborated with scholars based in France, Germany and Belgium. Frequent co-authors include Meinolf Suttorp, François Guilhot, Nobuko Hijiya, Markus Metzler, Joëlle Guilhot, G. Daculsi, Pierre Weiss, Françoise Méchinaud, André Baruchel and Françoise Mazingue. Their work appears in journals such as Blood, Pediatric Blood & Cancer, European Journal of Cancer, British Journal of Haematology 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.