Barbara Waßmann
- Hematology top 0.2%
- Chronic Myeloid Leukemia Treatments 40
- Acute Myeloid Leukemia Research 5
- Hematopoietic Stem Cell Transplantation 3
- Genetics top 0.5%
- Chronic Lymphocytic Leukemia Research 23
- Rheumatology top 1%
- Eosinophilic Disorders and Syndromes 18
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- Acute Lymphoblastic Leukemia research 33
- Oncology top 5%
- Neutropenia and Cancer Infections 3
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- Antifungal resistance and susceptibility 2
- Co-authors
- Oliver G. OttmannDieter HoelzerLydia WunderleAndreas HochhausRoman PfeiferAnja BinckebanckMaher AlbitarLeila Alland
- Cited by
- HematologyGeneticsRheumatology
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Barbara Waßmann
47 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 87
- Hematology 2.3k
- Genetics 1.1k
- Rheumatology 925
- Public Health, Environmental and Occupational Health 1.2k
- Oncology 534
Countries citing papers authored by Barbara Waßmann
This map shows the geographic impact of Barbara Waßmann'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 Barbara Waßmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Barbara Waßmann more than expected).
Fields of papers citing papers by Barbara Waßmann
This network shows the impact of papers produced by Barbara Waßmann. 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 Barbara Waßmann. The network helps show where Barbara Waßmann may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Barbara Waßmann, 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 | 2007 | 24 | |
| 2 | 2007 | 1 | |
| 3 | 2007 | 151 | |
| 4 | 2006 | 239 | |
| 5 | Nilotinib in Imatinib-Resistant CML and Philadelphia Chromosome–Positive ALLbreakdown → | 2006 | 970 |
| 6 | 2005 | 154 | |
| 7 | 2005 | 73 | |
| 8 | 2005 | 49 | |
| 9 | 2004 | 8 | |
| 10 | 2003 | 6 | |
| 11 | 2003 | 29 | |
| 12 | 2003 | 18 | |
| 13 | 2003 | 80 | |
| 14 | 2003 | 27 | |
| 15 | 2003 | 39 | |
| 16 | 2002 | 16 | |
| 17 | 2001 | 19 | |
| 18 | 2001 | 21 | |
| 19 | 1998 | 8 | |
| 20 | 1997 | 37 |
About Barbara Waßmann
Barbara Waßmann is a scholar working on Hematology, Genetics, Rheumatology, Public Health, Environmental and Occupational Health and Oncology, having authored 48 papers that have together received 2.9k indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (40 papers), Acute Lymphoblastic Leukemia research (33 papers), Chronic Lymphocytic Leukemia Research (23 papers), Eosinophilic Disorders and Syndromes (18 papers), Acute Myeloid Leukemia Research (5 papers), Neutropenia and Cancer Infections (3 papers), Hematopoietic Stem Cell Transplantation (3 papers) and Antifungal resistance and susceptibility (2 papers). The work is most often cited by research in Hematology (2.3k citations), Genetics (1.1k citations), Rheumatology (925 citations), Public Health, Environmental and Occupational Health (1.2k citations) and Oncology (534 citations). Barbara Waßmann has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Oliver G. Ottmann, Dieter Hoelzer, Lydia Wunderle, Andreas Hochhaus, Roman Pfeifer, Anja Binckebanck, Maher Albitar, Leila Alland, Hagop M. Kantarjian and Harald Gschaidmeier. Their work appears in journals such as Blood, Leukemia, Annals of Hematology, Journal of Clinical Oncology and Bone Marrow Transplantation.
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.