Mark J. Levis
- Hematology top 0.01%
- Acute Myeloid Leukemia Research 288
- Chronic Myeloid Leukemia Treatments 179
- Multiple Myeloma Research and Treatments 29
- Genetics top 0.05%
- Chronic Lymphocytic Leukemia Research 123
- Myeloproliferative Neoplasms: Diagnosis and Treatment 45
- Molecular Biology top 0.5%
- Protein Degradation and Inhibitors 32
- Retinoids in leukemia and cellular processes 22
- Oncology top 1%
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- Acute Lymphoblastic Leukemia research 49
- Co-authors
- Donald SmallB. Douglas SmithAlexander E. PerlNaval DaverSabine KäyserKeith W. PratzNigel H. RussellJörge E. Cortes
- Cited by
- HematologyGeneticsMolecular Biology
- Partner nations
- United StatesGermanyItaly
In The Last Decade
Mark J. Levis
311 papers receiving 14.2k citations
Hit Papers
Peers
Comparison fields: 5 of 106
- Hematology 11.3k
- Genetics 4.3k
- Molecular Biology 6.8k
- Oncology 2.0k
- Public Health, Environmental and Occupational Health 2.1k
Countries citing papers authored by Mark J. Levis
This map shows the geographic impact of Mark J. Levis'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 Mark J. Levis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark J. Levis more than expected).
Fields of papers citing papers by Mark J. Levis
This network shows the impact of papers produced by Mark J. Levis. 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 Mark J. Levis. The network helps show where Mark J. Levis may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mark J. Levis, 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 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 9 | |
| 4 | 2024 | 2 | |
| 5 | 2023 | 18 | |
| 6 | 2022 | 10 | |
| 7 | Venetoclax Plus Gilteritinib for FLT3-Mutated Relapsed/Refractory Acute Myeloid Leukemiabreakdown → | 2022 | 123 |
| 8 | 2022 | 27 | |
| 9 | 2022 | 8 | |
| 10 | 2021 | 10 | |
| 11 | 2021 | 21 | |
| 12 | 2020 | 1 | |
| 13 | 2020 | 38 | |
| 14 | 2019 | 17 | |
| 15 | 2017 | 32 | |
| 16 | 2017 | 4 | |
| 17 | 2016 | 38 | |
| 18 | 2014 | 25 | |
| 19 | 2008 | 397 | |
| 20 | 2003 | 24 |
About Mark J. Levis
Mark J. Levis is a scholar working on Hematology, Genetics, Public Health, Environmental and Occupational Health, Molecular Biology and Oncology, having authored 323 papers that have together received 14.5k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (288 papers), Chronic Myeloid Leukemia Treatments (179 papers), Chronic Lymphocytic Leukemia Research (123 papers), Acute Lymphoblastic Leukemia research (49 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (45 papers), Protein Degradation and Inhibitors (32 papers), Multiple Myeloma Research and Treatments (29 papers) and Retinoids in leukemia and cellular processes (22 papers). The work is most often cited by research in Hematology (11.3k citations), Genetics (4.3k citations), Molecular Biology (6.8k citations), Oncology (2.0k citations) and Public Health, Environmental and Occupational Health (2.1k citations). Mark J. Levis has collaborated with scholars based in United States, Germany and Italy. Frequent co-authors include Donald Small, B. Douglas Smith, Alexander E. Perl, Naval Daver, Sabine Käyser, Keith W. Pratz, Nigel H. Russell, Jörge E. Cortes, Richard F. Schlenk and Hagop M. Kantarjian. Their work appears in journals such as Blood, Journal of Clinical Oncology, Blood Advances, Leukemia and Haematologica.
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.