Carolina Pavlovsky
- Hematology top 1%
- Chronic Myeloid Leukemia Treatments 29
- Acute Myeloid Leukemia Research 3
- Genetics top 1%
- Chronic Lymphocytic Leukemia Research 31
- Myeloproliferative Neoplasms: Diagnosis and Treatment 4
- Rheumatology top 2%
- Eosinophilic Disorders and Syndromes 10
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- Lymphoma Diagnosis and Treatment 4
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- Acute Lymphoblastic Leukemia research 7
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- Click Chemistry and Applications 2
- Co-authors
- Jörge E. CortesHagop M. KantarjianAndreas HochhausDong‐Wook KimMichele BaccaraniM. Brigid Bradley‐GarelikNeil P. ShahCharles Chuah
- Cited by
- HematologyGeneticsRheumatology
- Journals
- Journal of Clinical Oncology (3 papers)SHILAP Revista de lepidopterología (1 paper)Blood (13 papers)
- Partner nations
- ArgentinaUnited StatesItaly
In The Last Decade
Carolina Pavlovsky
32 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 55
- Hematology 890
- Genetics 749
- Rheumatology 456
- Oncology 161
- Pathology and Forensic Medicine 97
Countries citing papers authored by Carolina Pavlovsky
This map shows the geographic impact of Carolina Pavlovsky'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 Carolina Pavlovsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carolina Pavlovsky more than expected).
Fields of papers citing papers by Carolina Pavlovsky
This network shows the impact of papers produced by Carolina Pavlovsky. 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 Carolina Pavlovsky. The network helps show where Carolina Pavlovsky may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Carolina Pavlovsky, 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 | 2025 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 2 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 2 | |
| 6 | 2021 | 13 | |
| 7 | 2021 | 10 | |
| 8 | 2021 | 0 | |
| 9 | 2020 | 5 | |
| 10 | 2018 | 1 | |
| 11 | 2018 | 2 | |
| 12 | 2017 | 16 | |
| 13 | 2016 | 10 | |
| 14 | 2016 | 21 | |
| 15 | 2016 | 3 | |
| 16 | 2015 | 0 | |
| 17 | 2011 | 2 | |
| 18 | Dasatinib or imatinib in newly diagnosed chronic-phase chronic myeloid leukemia: 2-year follow-up from a randomized phase 3 trial (DASISION)breakdown → | 2011 | 441 |
| 19 | 2009 | 38 | |
| 20 | 2009 | 35 |
About Carolina Pavlovsky
Carolina Pavlovsky is a scholar working on Genetics, Hematology and Rheumatology, having authored 36 papers that have together received 1.0k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (31 papers), Chronic Myeloid Leukemia Treatments (29 papers), Eosinophilic Disorders and Syndromes (10 papers), Acute Lymphoblastic Leukemia research (7 papers), Lymphoma Diagnosis and Treatment (4 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (4 papers), Acute Myeloid Leukemia Research (3 papers) and Click Chemistry and Applications (2 papers). The work is most often cited by research in Hematology (890 citations), Genetics (749 citations) and Rheumatology (456 citations). Carolina Pavlovsky has collaborated with scholars based in Argentina, United States and Italy. Frequent co-authors include Jörge E. Cortes, Hagop M. Kantarjian, Andreas Hochhaus, Dong‐Wook Kim, Michele Baccarani, M. Brigid Bradley‐Garelik, Neil P. Shah, Charles Chuah, Giuseppe Saglio and Chao Zhu. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.
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.