Philipp D. le Coutre
- Hematology top 0.2%
- Chronic Myeloid Leukemia Treatments 67
- Acute Myeloid Leukemia Research 5
- Genetics top 0.2%
- Chronic Lymphocytic Leukemia Research 56
- Myeloproliferative Neoplasms: Diagnosis and Treatment 8
- Rheumatology top 0.5%
- Eosinophilic Disorders and Syndromes 23
- Oncology top 10%
- Pathology and Forensic Medicine top 10%
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- Acute Lymphoblastic Leukemia research 13
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- Click Chemistry and Applications 7
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- Mast cells and histamine 3
- Co-authors
- Andreas HochhausHagop M. KantarjianGiuseppe SaglioFrancis J. GilesRichard A. LarsonTimothy P. HughesMichele BaccaraniJörge E. Cortes
- Cited by
- HematologyGeneticsRheumatology
- Partner nations
- GermanyUnited StatesItaly
In The Last Decade
Philipp D. le Coutre
70 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 61
- Hematology 2.3k
- Genetics 1.9k
- Rheumatology 1.2k
- Oncology 449
- Pathology and Forensic Medicine 179
Countries citing papers authored by Philipp D. le Coutre
This map shows the geographic impact of Philipp D. le Coutre'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 Philipp D. le Coutre with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philipp D. le Coutre more than expected).
Fields of papers citing papers by Philipp D. le Coutre
This network shows the impact of papers produced by Philipp D. le Coutre. 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 Philipp D. le Coutre. The network helps show where Philipp D. le Coutre may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Philipp D. le Coutre, 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 | 2021 | 47 | |
| 2 | 2021 | 56 | |
| 3 | 2020 | 37 | |
| 4 | 2020 | 1 | |
| 5 | 2019 | 2 | |
| 6 | 2018 | 104 | |
| 7 | 2017 | 203 | |
| 8 | Long-term benefits and risks of frontline nilotinib vs imatinib for chronic myeloid leukemia in chronic phase: 5-year update of the randomized ENESTnd trialbreakdown → | 2016 | 563 |
| 9 | 2016 | 26 | |
| 10 | 2015 | 44 | |
| 11 | 2013 | 10 | |
| 12 | 2013 | 4 | |
| 13 | 2013 | 7 | |
| 14 | 2012 | 67 | |
| 15 | 2012 | 177 | |
| 16 | 2012 | 16 | |
| 17 | 2011 | 63 | |
| 18 | 2011 | 67 | |
| 19 | 2011 | 82 | |
| 20 | 2006 | 12 |
About Philipp D. le Coutre
Philipp D. le Coutre is a scholar working on Hematology, Genetics and Rheumatology, having authored 72 papers that have together received 2.5k indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (67 papers), Chronic Lymphocytic Leukemia Research (56 papers), Eosinophilic Disorders and Syndromes (23 papers), Acute Lymphoblastic Leukemia research (13 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (8 papers), Click Chemistry and Applications (7 papers), Acute Myeloid Leukemia Research (5 papers) and Mast cells and histamine (3 papers). The work is most often cited by research in Hematology (2.3k citations), Genetics (1.9k citations) and Rheumatology (1.2k citations). Philipp D. le Coutre has collaborated with scholars based in Germany, United States and Italy. Frequent co-authors include Andreas Hochhaus, Hagop M. Kantarjian, Giuseppe Saglio, Francis J. Giles, Richard A. Larson, Timothy P. Hughes, Michele Baccarani, Jörge E. Cortes, Norbert Gattermann and Neil J. Gallagher. Their work appears in journals such as Journal of Clinical Oncology, Blood 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.