Sabine Käyser
- Hematology top 0.2%
- Molecular Biology top 5%
- Genetics top 1%
- Public Health, Environmental and Occupational Health top 5%
- Cancer Research top 5%
- Co-authors
- Mark J. LevisRichard F. SchlenkKonstanze DöhnerHartmut DöhnerDaniela SpäthKatharina S. GötzeManuela ZucknickLars Bullinger
- Topics
- Acute Myeloid Leukemia Research (45 papers)Chronic Myeloid Leukemia Treatments (21 papers)Myeloproliferative Neoplasms: Diagnosis and Treatment (11 papers)
- Cited by
- HematologyGeneticsCancer Research
- Journals
- Journal of Clinical OncologySHILAP Revista de lepidopterologíaBlood
- Partner nations
- GermanyUnited StatesNetherlands
In The Last Decade
Sabine Käyser
55 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 87
- Hematology 2.2k
- Molecular Biology 1.4k
- Genetics 770
- Public Health, Environmental and Occupational Health 545
- Cancer Research 422
Countries citing papers authored by Sabine Käyser
This map shows the geographic impact of Sabine Käyser'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 Sabine Käyser with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sabine Käyser more than expected).
Fields of papers citing papers by Sabine Käyser
This network shows the impact of papers produced by Sabine Käyser. 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 Sabine Käyser. The network helps show where Sabine Käyser may publish in the future.
Co-authorship network of co-authors of Sabine Käyser
This figure shows the co-authorship network connecting the top 25 collaborators of Sabine Käyser. A scholar is included among the top collaborators of Sabine Käyser based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sabine Käyser. Sabine Käyser is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 15 | |
| 3 | 0 | |
| 4 | 6 | |
| 5 | 1 | |
| 6 | 5 | |
| 7 | 12 | |
| 8 | 14 | |
| 9 | 1 | |
| 10 | 9 | |
| 11 | 41 | |
| 12 | 19 | |
| 13 | 69 | |
| 14 | 259 | |
| 15 | 24 | |
| 16 | 72 | |
| 17 | 0 | |
| 18 | 77 | |
| 19 | 25 | |
| 20 | IDH1andIDH2Mutations Are Frequent Genetic Alterations in Acute Myeloid Leukemia and Confer Adverse Prognosis in Cytogenetically Normal Acute Myeloid Leukemia WithNPM1Mutation WithoutFLT3Internal Tandem Duplicationbreakdown → | 578 |
About Sabine Käyser
Sabine Käyser is a scholar working on Hematology, Genetics and Public Health, Environmental and Occupational Health, having authored 64 papers that have together received 3.1k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (45 papers), Chronic Myeloid Leukemia Treatments (21 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (11 papers). The work is most often cited by research in Hematology (2.2k citations), Genetics (770 citations) and Cancer Research (422 citations). Sabine Käyser has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Mark J. Levis, Richard F. Schlenk, Konstanze Döhner, Hartmut Döhner, Daniela Späth, Katharina S. Götze, Manuela Zucknick, Lars Bullinger, Ulrich Germing and Peter Paschka. 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.