Daniel Sasca
Impact in
- Hematology top 5%
- Acute Myeloid Leukemia Research
- Geriatrics and Gerontology top 10%
- Sirtuins and Resveratrol in Medicine
Papers in ⓘ
- Hematology 12
- Acute Myeloid Leukemia Research 10
- Genetics 4
- Myeloproliferative Neoplasms: Diagnosis and Treatment 3
- Co-authors
- Thomas Kindler (8 shared papers)Matthias Theobald (7 shared papers)Patricia S. Hähnel (4 shared papers)Lars Bullinger (4 shared papers)Oliver Kriege (3 shared papers)George S. Vassiliou (4 shared papers)George Giotopoulos (5 shared papers)Brian J.P. Huntly (5 shared papers)
- Journals
- Blood (11 papers)Journal of Clinical Oncology (2 papers)Journal of Innate Immunity (1 paper)Current Opinion in Hematology (1 paper)International Journal of Cancer (1 paper)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Daniel Sasca
19 papers receiving 468 citations
Peers
Comparison fields: 5 of 64
- Hematology 210
- Geriatrics and Gerontology 45
- Cancer Research 89
- Molecular Biology 307
- Genetics 40
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
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 101 | |
| 2 | 2014 | 90 | |
| 3 | 2020 | 79 | |
| 4 | 2019 | 52 | |
| 5 | 2019 | 39 | |
| 6 | 2014 | 35 | |
| 7 | 2013 | 29 | |
| 8 | 2012 | 26 | |
| 9 | 2022 | 5 | |
| 10 | 2016 | 4 | |
| 11 | 2021 | 3 | |
| 12 | 2019 | 2 | |
| 13 | 2021 | 2 | |
| 14 | 2025 | 1 | |
| 15 | 2024 | 1 | |
| 16 | 2024 | 1 | |
| 17 | 2015 | 1 | |
| 18 | 2020 | 1 | |
| 19 | 2022 | 1 | |
| 20 | 2025 | 0 |
About Daniel Sasca
Daniel Sasca is a scholar working on Hematology, Genetics, Geriatrics and Gerontology, Molecular Biology and Clinical Biochemistry, having authored 20 papers that have together received 473 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (10 papers), Protein Degradation and Inhibitors (7 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (3 papers), Genomics and Chromatin Dynamics (3 papers), Cancer-related gene regulation (3 papers), Cytokine Signaling Pathways and Interactions (2 papers), Epigenetics and DNA Methylation (2 papers) and Lymphoma Diagnosis and Treatment (2 papers). The work is most often cited by research in Hematology (210 citations), Geriatrics and Gerontology (45 citations), Cancer Research (89 citations), Molecular Biology (307 citations) and Genetics (40 citations). Daniel Sasca has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Thomas Kindler, Matthias Theobald, Patricia S. Hähnel, Lars Bullinger, Oliver Kriege, George S. Vassiliou, George Giotopoulos, Brian J.P. Huntly, Paolo Gallipoli and Haiyang Yun. Their work appears in journals such as Blood, Journal of Clinical Oncology, Journal of Innate Immunity, Current Opinion in Hematology and International Journal of Cancer.
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.