Éric Lippert
- Genetics top 0.5%
- Myeloproliferative Neoplasms: Diagnosis and Treatment 59
- Chronic Lymphocytic Leukemia Research 14
- Hematology top 0.5%
- Chronic Myeloid Leukemia Treatments 35
- Acute Myeloid Leukemia Research 33
- Platelet Disorders and Treatments 7
- Rheumatology top 1%
- Eosinophilic Disorders and Syndromes 38
- Molecular Biology top 10%
- Kruppel-like factors research 18
- Internal Medicine top 10%
-
- Acute Lymphoblastic Leukemia research 8
- Co-authors
- Sylvie HermouetFrançois GirodonRadek C. SkodaFrançois‐Xavier MahonMarjorie BoissinotGabriel ÉtienneStéphanie DulucqVincent Praloran
- Cited by
- GeneticsHematologyRheumatology
- Partner nations
- FranceSwitzerlandSpain
In The Last Decade
Éric Lippert
98 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 87
- Genetics 1.4k
- Hematology 1.3k
- Rheumatology 603
- Molecular Biology 968
- Internal Medicine 46
Countries citing papers authored by Éric Lippert
This map shows the geographic impact of Éric Lippert'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 Éric Lippert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Éric Lippert more than expected).
Fields of papers citing papers by Éric Lippert
This network shows the impact of papers produced by Éric Lippert. 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 Éric Lippert. The network helps show where Éric Lippert may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Éric Lippert, 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 | 2024 | 0 | |
| 2 | 2023 | 5 | |
| 3 | 2023 | 1 | |
| 4 | 2023 | 0 | |
| 5 | 2023 | 1 | |
| 6 | 2020 | 1 | |
| 7 | 2019 | 6 | |
| 8 | 2017 | 6 | |
| 9 | 2016 | 11 | |
| 10 | 2013 | 40 | |
| 11 | 2013 | 24 | |
| 12 | 2012 | 35 | |
| 13 | 2011 | 75 | |
| 14 | 2011 | 28 | |
| 15 | 2010 | 24 | |
| 16 | 2010 | 10 | |
| 17 | 2008 | 2 | |
| 18 | L’anémie réfractaire sidéroblastique avec thrombocytose est-elle un syndrome myéloprolifératif ? | 2006 | 1 |
| 19 | 2004 | 12 | |
| 20 | 2003 | 63 |
About Éric Lippert
Éric Lippert is a scholar working on Genetics, Hematology, Rheumatology, Molecular Biology and Pathology and Forensic Medicine, having authored 102 papers that have together received 2.2k indexed citations. Recurring topics across this work include Myeloproliferative Neoplasms: Diagnosis and Treatment (59 papers), Eosinophilic Disorders and Syndromes (38 papers), Chronic Myeloid Leukemia Treatments (35 papers), Acute Myeloid Leukemia Research (33 papers), Kruppel-like factors research (18 papers), Chronic Lymphocytic Leukemia Research (14 papers), Acute Lymphoblastic Leukemia research (8 papers) and Platelet Disorders and Treatments (7 papers). The work is most often cited by research in Genetics (1.4k citations), Hematology (1.3k citations), Rheumatology (603 citations), Molecular Biology (968 citations) and Internal Medicine (46 citations). Éric Lippert has collaborated with scholars based in France, Switzerland and Spain. Frequent co-authors include Sylvie Hermouet, François Girodon, Radek C. Skoda, François‐Xavier Mahon, Marjorie Boissinot, Gabriel Étienne, Stéphanie Dulucq, Vincent Praloran, Pascaline Talmant and Soon-Siong Teo. Their work appears in journals such as Blood, Haematologica, Thrombosis Research, British Journal of Haematology and Leukemia.
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.