Jörge E. Cortes
- Hematology top 0.01%
- Chronic Myeloid Leukemia Treatments 1355
- Acute Myeloid Leukemia Research 856
- Multiple Myeloma Research and Treatments 125
- Genetics top 0.01%
- Chronic Lymphocytic Leukemia Research 1083
- Myeloproliferative Neoplasms: Diagnosis and Treatment 327
- Rheumatology top 0.01%
- Eosinophilic Disorders and Syndromes 534
- Oncology top 0.02%
- Pathology and Forensic Medicine top 0.02%
- Lymphoma Diagnosis and Treatment 154
-
- Acute Lymphoblastic Leukemia research 437
- Co-authors
- Hagop M. KantarjianSusan O’BrienFrancis J. GilesGuillermo Garcia‐ManeroFarhad RavandiDeborah A. ThomasStefan FaderlElias Jabbour
- Cited by
- HematologyGeneticsRheumatology
- Partner nations
- United StatesGermanyItaly
In The Last Decade
Jörge E. Cortes
2.2k papers receiving 83.2k citations
Hit Papers
Peers
Comparison fields: 5 of 180
- Hematology 60.4k
- Genetics 41.4k
- Rheumatology 19.7k
- Oncology 15.4k
- Pathology and Forensic Medicine 9.3k
Countries citing papers authored by Jörge E. Cortes
This map shows the geographic impact of Jörge E. Cortes'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 Jörge E. Cortes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jörge E. Cortes more than expected).
Fields of papers citing papers by Jörge E. Cortes
This network shows the impact of papers produced by Jörge E. Cortes. 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 Jörge E. Cortes. The network helps show where Jörge E. Cortes may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jörge E. Cortes, 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 | 2 | |
| 2 | 2023 | 6 | |
| 3 | 2021 | 3 | |
| 4 | 2018 | 86 | |
| 5 | 2018 | 67 | |
| 6 | 2016 | 111 | |
| 7 | Final 5-Year Study Results of DASISION: The Dasatinib Versus Imatinib Study in Treatment-Naïve Chronic Myeloid Leukemia Patients Trialbreakdown → | 2016 | 621 |
| 8 | 2015 | 11 | |
| 9 | 2014 | 42 | |
| 10 | 2013 | 17 | |
| 11 | 2012 | 89 | |
| 12 | 2011 | 244 | |
| 13 | 2011 | 310 | |
| 14 | 2010 | 127 | |
| 15 | 2009 | 236 | |
| 16 | 2009 | 40 | |
| 17 | 2009 | 127 | |
| 18 | 2007 | 108 | |
| 19 | 2007 | 230 | |
| 20 | 2007 | 160 |
About Jörge E. Cortes
Jörge E. Cortes is a scholar working on Hematology, Genetics and Rheumatology, having authored 2.3k papers that have together received 85.0k indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (1.4k papers), Chronic Lymphocytic Leukemia Research (1.1k papers), Acute Myeloid Leukemia Research (856 papers), Eosinophilic Disorders and Syndromes (534 papers), Acute Lymphoblastic Leukemia research (437 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (327 papers), Lymphoma Diagnosis and Treatment (154 papers) and Multiple Myeloma Research and Treatments (125 papers). The work is most often cited by research in Hematology (60.4k citations), Genetics (41.4k citations) and Rheumatology (19.7k citations). Jörge E. Cortes has collaborated with scholars based in United States, Germany and Italy. Frequent co-authors include Hagop M. Kantarjian, Susan O’Brien, Francis J. Giles, Guillermo Garcia‐Manero, Farhad Ravandi, Deborah A. Thomas, Stefan Faderl, Elias Jabbour, Srđan Verstovšek and Alfonso Quintás‐Cardama. Their work appears in journals such as Blood, Journal of Clinical Oncology, Cancer, American Journal of Hematology 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.