Mathias Hänel
- Hematology top 1%
- Multiple Myeloma Research and Treatments 21
- Acute Myeloid Leukemia Research 20
- Hematopoietic Stem Cell Transplantation 12
- Chronic Myeloid Leukemia Treatments 9
- Genetics top 2%
- Chronic Lymphocytic Leukemia Research 12
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- Lymphoma Diagnosis and Treatment 20
- Oncology top 5%
- Neurology top 5%
- CNS Lymphoma Diagnosis and Treatment 7
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- Protein Degradation and Inhibitors 12
- Co-authors
- Gerhard EhningerMichael PfreundschuhMarkus LöfflerNorbert SchmitzLorenz TrümperNiels MurawskiMarkus SchaichGerhard Held
- Journals
- Blood (14 papers)Annals of Hematology (7 papers)Journal of Cancer Research and Clinical Oncology (6 papers)
- Partner nations
- GermanyUnited StatesFrance
In The Last Decade
Mathias Hänel
64 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 82
- Hematology 734
- Genetics 484
- Pathology and Forensic Medicine 814
- Oncology 675
- Neurology 355
Countries citing papers authored by Mathias Hänel
This map shows the geographic impact of Mathias Hänel'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 Mathias Hänel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mathias Hänel more than expected).
Fields of papers citing papers by Mathias Hänel
This network shows the impact of papers produced by Mathias Hänel. 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 Mathias Hänel. The network helps show where Mathias Hänel may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mathias Hänel, 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 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 3 | |
| 4 | 2023 | 20 | |
| 5 | Allogeneic Stem Cell Transplantation with Sequential Melphalan-Based Conditioning in AML: Residual Morphological Blast Count Determines the Risk of Relapse | 2022 | 3 |
| 6 | 2020 | 6 | |
| 7 | 2020 | 9 | |
| 8 | 2019 | 6 | |
| 9 | 2015 | 7 | |
| 10 | 2014 | 59 | |
| 11 | 2014 | 48 | |
| 12 | 2012 | 210 | |
| 13 | 2011 | 41 | |
| 14 | 2009 | 303 | |
| 15 | 2009 | 3 | |
| 16 | Tissue engineered composite grafts (cartilage, keratinocytes, mucosa) for head and neck surgery | 2004 | 0 |
| 17 | 2004 | 106 | |
| 18 | 2003 | 7 | |
| 19 | 2003 | 5 | |
| 20 | 2001 | 22 |
About Mathias Hänel
Mathias Hänel is a scholar working on Hematology, Genetics and Pathology and Forensic Medicine, having authored 72 papers that have together received 1.8k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (21 papers), Acute Myeloid Leukemia Research (20 papers), Lymphoma Diagnosis and Treatment (20 papers), Chronic Lymphocytic Leukemia Research (12 papers), Hematopoietic Stem Cell Transplantation (12 papers), Protein Degradation and Inhibitors (12 papers), Chronic Myeloid Leukemia Treatments (9 papers) and CNS Lymphoma Diagnosis and Treatment (7 papers). The work is most often cited by research in Hematology (734 citations), Genetics (484 citations) and Pathology and Forensic Medicine (814 citations). Mathias Hänel has collaborated with scholars based in Germany, United States and France. Frequent co-authors include Gerhard Ehninger, Michael Pfreundschuh, Markus Löffler, Norbert Schmitz, Lorenz Trümper, Niels Murawski, Markus Schaich, Gerhard Held, Martin Bornhäuser and F. Fiedler. Their work appears in journals such as Blood, Annals of Hematology, Journal of Cancer Research and Clinical Oncology, 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.