Daniel Sasca
Impact in
- Hematology top 5%
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
- Geriatrics and Gerontology top 10%
- Sirtuins and Resveratrol in Medicine
Papers in
- Hematology 15
- Acute Myeloid Leukemia Research 12
- Chronic Myeloid Leukemia Treatments 3
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- Protein Degradation and Inhibitors 8
- Epigenetics and DNA Methylation 5
- Genomics and Chromatin Dynamics 4
- Cancer-related gene regulation 3
- Co-authors
- Thomas Kindler (9 shared papers)Matthias Theobald (8 shared papers)Patricia S. Hähnel (4 shared papers)Lars Bullinger (4 shared papers)Brian J.P. Huntly (5 shared papers)George S. Vassiliou (3 shared papers)Oliver Kriege (3 shared papers)George Giotopoulos (4 shared papers)
- Journals
- Blood (13 papers)Leukemia (1 paper)Current Opinion in Hematology (1 paper)Nature Cell Biology (1 paper)HemaSphere (1 paper)
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
Daniel Sasca
26 papers receiving 803 citations
Peers
Comparison fields: 5 of 63
- Hematology 353
- Geriatrics and Gerontology 48
- Cancer Research 119
- Molecular Biology 503
- Genetics 74
Countries citing papers authored by Daniel Sasca
This map shows the geographic impact of Daniel Sasca'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 Daniel Sasca with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Sasca more than expected).
Fields of papers citing papers by Daniel Sasca
This network shows the impact of papers produced by Daniel Sasca. 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 Daniel Sasca. The network helps show where Daniel Sasca may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Sasca, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 127 | |
| 2 | 2014 | 99 | |
| 3 | 2019 | 96 | |
| 4 | 2020 | 94 | |
| 5 | 2019 | 68 | |
| 6 | 2017 | 54 | |
| 7 | 2019 | 46 | |
| 8 | 2014 | 42 | |
| 9 | 2023 | 37 | |
| 10 | 2013 | 32 | |
| 11 | 2012 | 29 | |
| 12 | 2021 | 23 | |
| 13 | 2024 | 12 | |
| 14 | 2022 | 11 | |
| 15 | 2023 | 8 | |
| 16 | 2016 | 8 | |
| 17 | 2025 | 6 | |
| 18 | 2024 | 5 | |
| 19 | 2021 | 3 | |
| 20 | 2016 | 3 |
About Daniel Sasca
Daniel Sasca is a scholar working on Hematology, Molecular Biology, Genetics, Pathology and Forensic Medicine and Oncology, having authored 28 papers that have together received 813 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (12 papers), Protein Degradation and Inhibitors (8 papers), Epigenetics and DNA Methylation (5 papers), Lymphoma Diagnosis and Treatment (5 papers), Genomics and Chromatin Dynamics (4 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (3 papers), Cancer-related gene regulation (3 papers) and Chronic Myeloid Leukemia Treatments (3 papers). The work is most often cited by research in Hematology (353 citations), Geriatrics and Gerontology (48 citations), Cancer Research (119 citations), Molecular Biology (503 citations) and Genetics (74 citations). Daniel Sasca has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Thomas Kindler, Matthias Theobald, Patricia S. Hähnel, Lars Bullinger, Brian J.P. Huntly, George S. Vassiliou, Oliver Kriege, George Giotopoulos, Haiyang Yun and Paolo Gallipoli. Their work appears in journals such as Blood, Leukemia, Current Opinion in Hematology, Nature Cell Biology and HemaSphere.
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.