Daniela S. Krause
Impact in
- Hematology top 0.5%
- Chronic Myeloid Leukemia Treatments
- Acute Myeloid Leukemia Research
- Hematopoietic Stem Cell Transplantation
- Genetics top 0.5%
- Myeloproliferative Neoplasms: Diagnosis and Treatment
Papers in
- Hematology 48
- Chronic Myeloid Leukemia Treatments 27
- Acute Myeloid Leukemia Research 24
- Hematopoietic Stem Cell Transplantation 15
- Genetics 18
- Myeloproliferative Neoplasms: Diagnosis and Treatment 10
- Chronic Lymphocytic Leukemia Research 5
- Co-authors
- Richard A. Van EttenThomas ForceDavid T. ScaddenKatherine LazaridesUlrich H. von AndrianDenisa D. WagnerJaymie R. VoorheesTobias A. Fuchs
- Journals
- Blood (20 papers)Leukemia (4 papers)Nature Medicine (3 papers)Blood Advances (3 papers)Haematologica (3 papers)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Daniela S. Krause
72 papers receiving 5.9k citations
Hit Papers
Peers
Comparison fields: 5 of 125
- Hematology 1.8k
- Genetics 1.0k
- Immunology 1.3k
- Oncology 1.6k
- Molecular Biology 2.8k
Countries citing papers authored by Daniela S. Krause
This map shows the geographic impact of Daniela S. Krause'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 Daniela S. Krause with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela S. Krause more than expected).
Fields of papers citing papers by Daniela S. Krause
This network shows the impact of papers produced by Daniela S. Krause. 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 Daniela S. Krause. The network helps show where Daniela S. Krause may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela S. Krause, 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 | 2024 | 5 | |
| 2 | 2024 | 8 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 0 | |
| 5 | 2022 | 11 | |
| 6 | 2022 | 9 | |
| 7 | 2021 | 12 | |
| 8 | 2020 | 55 | |
| 9 | 2020 | 29 | |
| 10 | Bone marrow niches in haematological malignancies Hit paper breakdown → | 2020 | 305 |
| 11 | 2019 | 49 | |
| 12 | 2018 | 14 | |
| 13 | 2015 | 30 | |
| 14 | 2015 | 71 | |
| 15 | 2014 | 24 | |
| 16 | 2012 | 117 | |
| 17 | 2008 | 20 | |
| 18 | 2006 | 170 | |
| 19 | 2005 | 72 | |
| 20 | 2004 | 120 |
About Daniela S. Krause
Daniela S. Krause is a scholar working on Hematology, Genetics, Immunology and Allergy, Cancer Research and Immunology, having authored 74 papers that have together received 6.0k indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (27 papers), Acute Myeloid Leukemia Research (24 papers), Hematopoietic Stem Cell Transplantation (15 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (10 papers), Eosinophilic Disorders and Syndromes (8 papers), CAR-T cell therapy research (6 papers), Cell Adhesion Molecules Research (6 papers) and Chronic Lymphocytic Leukemia Research (5 papers). The work is most often cited by research in Hematology (1.8k citations), Genetics (1.0k citations), Immunology (1.3k citations), Oncology (1.6k citations) and Molecular Biology (2.8k citations). Daniela S. Krause has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Richard A. Van Etten, Thomas Force, David T. Scadden, Katherine Lazarides, Ulrich H. von Andrian, Denisa D. Wagner, Jaymie R. Voorhees, Tobias A. Fuchs, Daphne Schatzberg and Kimberly Martinod. Their work appears in journals such as Blood, Leukemia, Nature Medicine, Blood Advances 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.