Heiko Becker
- Hematology top 0.5%
- Acute Myeloid Leukemia Research 38
- Chronic Myeloid Leukemia Treatments 12
- Genetics top 2%
- Myeloproliferative Neoplasms: Diagnosis and Treatment 11
- Cancer Research top 5%
- Cancer Genomics and Diagnostics 10
- Molecular Biology top 10%
- Epigenetics and DNA Methylation 6
- Retinoids in leukemia and cellular processes 5
- Protein Degradation and Inhibitors 4
- Oncology top 10%
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- Acute Lymphoblastic Leukemia research 8
- Co-authors
- Susan P. WhitmanClara D. BloomfieldKrzysztof MrózekJonathan E. KolitzBayard L. PowellAndrew J. CarrollSebastian SchwindGuido Marcucci
- Cited by
- HematologyGeneticsCancer Research
- Partner nations
- GermanyUnited StatesNetherlands
In The Last Decade
Heiko Becker
55 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 84
- Hematology 1.1k
- Genetics 423
- Cancer Research 519
- Molecular Biology 1.1k
- Oncology 271
Countries citing papers authored by Heiko Becker
This map shows the geographic impact of Heiko Becker'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 Heiko Becker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heiko Becker more than expected).
Fields of papers citing papers by Heiko Becker
This network shows the impact of papers produced by Heiko Becker. 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 Heiko Becker. The network helps show where Heiko Becker may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Heiko Becker, 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 | 2023 | 24 | |
| 3 | 2022 | 8 | |
| 4 | 2022 | 12 | |
| 5 | 2022 | 5 | |
| 6 | 2021 | 21 | |
| 7 | 2020 | 4 | |
| 8 | 2020 | 11 | |
| 9 | 2018 | 35 | |
| 10 | 2017 | 67 | |
| 11 | 2016 | 15 | |
| 12 | 2015 | 16 | |
| 13 | 2013 | 2 | |
| 14 | 2011 | 18 | |
| 15 | 2010 | 71 | |
| 16 | 2009 | 241 | |
| 17 | 2008 | 17 | |
| 18 | 1992 | 10 | |
| 19 | 1988 | 3 | |
| 20 | 1988 | 132 |
About Heiko Becker
Heiko Becker is a scholar working on Hematology, Genetics, Cancer Research, Molecular Biology and Oncology, having authored 59 papers that have together received 1.9k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (38 papers), Chronic Myeloid Leukemia Treatments (12 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (11 papers), Cancer Genomics and Diagnostics (10 papers), Acute Lymphoblastic Leukemia research (8 papers), Epigenetics and DNA Methylation (6 papers), Retinoids in leukemia and cellular processes (5 papers) and Protein Degradation and Inhibitors (4 papers). The work is most often cited by research in Hematology (1.1k citations), Genetics (423 citations), Cancer Research (519 citations), Molecular Biology (1.1k citations) and Oncology (271 citations). Heiko Becker has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Susan P. Whitman, Clara D. Bloomfield, Krzysztof Mrózek, Jonathan E. Kolitz, Bayard L. Powell, Andrew J. Carroll, Sebastian Schwind, Guido Marcucci, Michael A. Caligiuri and Yue-Zhong Wu. Their work appears in journals such as Blood, Journal of Clinical Oncology, Leukemia Research, Clinical Epigenetics and British Journal of Haematology.
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.