Max Chaffanet
Impact in
- Hematology top 1%
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
- Genetics top 1%
- Myeloproliferative Neoplasms: Diagnosis and Treatment
Papers in
-
- Genomics and Chromatin Dynamics 10
- DNA Repair Mechanisms 8
- Oncology 30
- HER2/EGFR in Cancer Research 10
- Co-authors
- Daniel Birnbaum (90 shared papers)José Adélaı̈de (70 shared papers)Pascal Finetti (33 shared papers)François Bertucci (44 shared papers)Patrice Viens (21 shared papers)Emmanuelle Charafe‐Jauffret (25 shared papers)Nathalie Cervera (10 shared papers)Renaud Sabatier (10 shared papers)
- Journals
- Genes Chromosomes and Cancer (12 papers)British Journal of Haematology (5 papers)Cancer Research (5 papers)Oncogene (5 papers)Genomics (4 papers)
- Partner nations
- FranceUnited StatesBelgium
In The Last Decade
Max Chaffanet
104 papers receiving 4.4k citations
Peers
Comparison fields: 5 of 100
- Hematology 899
- Genetics 655
- Cancer Research 834
- Oncology 1.3k
- Molecular Biology 2.2k
Countries citing papers authored by Max Chaffanet
This map shows the geographic impact of Max Chaffanet'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 Max Chaffanet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Max Chaffanet more than expected).
Fields of papers citing papers by Max Chaffanet
This network shows the impact of papers produced by Max Chaffanet. 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 Max Chaffanet. The network helps show where Max Chaffanet may publish in the future.
Co-authors
The 25 scholars most cited alongside Max Chaffanet, 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 105 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 410 | |
| 2 | 2014 | 409 | |
| 3 | 2007 | 222 | |
| 4 | 2010 | 162 | |
| 5 | 2000 | 141 | |
| 6 | 2011 | 130 | |
| 7 | 1998 | 129 | |
| 8 | 2010 | 124 | |
| 9 | 2006 | 110 | |
| 10 | 2006 | 108 | |
| 11 | 2011 | 100 | |
| 12 | 2008 | 97 | |
| 13 | 2014 | 95 | |
| 14 | 1992 | 92 | |
| 15 | 2008 | 87 | |
| 16 | 2006 | 77 | |
| 17 | 2013 | 75 | |
| 18 | 2004 | 73 | |
| 19 | 2016 | 66 | |
| 20 | 2002 | 63 |
About Max Chaffanet
Max Chaffanet is a scholar working on Molecular Biology, Oncology, Genetics, Cancer Research and Hematology, having authored 105 papers that have together received 4.4k indexed citations. Recurring topics across this work include Genomic variations and chromosomal abnormalities (18 papers), Cancer Genomics and Diagnostics (17 papers), Acute Myeloid Leukemia Research (13 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (11 papers), HER2/EGFR in Cancer Research (10 papers), Genomics and Chromatin Dynamics (10 papers), Eosinophilic Disorders and Syndromes (9 papers) and DNA Repair Mechanisms (8 papers). The work is most often cited by research in Hematology (899 citations), Genetics (655 citations), Cancer Research (834 citations), Oncology (1.3k citations) and Molecular Biology (2.2k citations). Max Chaffanet has collaborated with scholars based in France, United States and Belgium. Frequent co-authors include Daniel Birnbaum, José Adélaı̈de, Pascal Finetti, François Bertucci, Patrice Viens, Emmanuelle Charafe‐Jauffret, Nathalie Cervera, Renaud Sabatier, Julien Mozziconacci and Arnaud Guillé. Their work appears in journals such as Genes Chromosomes and Cancer, British Journal of Haematology, Cancer Research, Oncogene and Genomics.
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.