Hartmut Döhner
- Hematology top 0.01%
- Acute Myeloid Leukemia Research 288
- Chronic Myeloid Leukemia Treatments 119
- Genetics top 0.01%
- Chronic Lymphocytic Leukemia Research 221
- Myeloproliferative Neoplasms: Diagnosis and Treatment 81
- Pathology and Forensic Medicine top 0.01%
- Lymphoma Diagnosis and Treatment 132
- Immunology top 0.05%
- Immunodeficiency and Autoimmune Disorders 82
- Cancer Research top 0.1%
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- Acute Lymphoblastic Leukemia research 71
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- Protein Degradation and Inhibitors 56
- Co-authors
- Stephan StilgenbauerKonstanze DöhnerPeter LichterLars BullingerClara D. BloomfieldRichard F. SchlenkAxel BennerDaniel J. Weisdorf
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Hartmut Döhner
636 papers receiving 44.1k citations
Hit Papers
Peers
Comparison fields: 5 of 177
- Hematology 21.1k
- Genetics 19.0k
- Pathology and Forensic Medicine 12.1k
- Immunology 9.5k
- Cancer Research 5.2k
Countries citing papers authored by Hartmut Döhner
This map shows the geographic impact of Hartmut Döhner'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 Hartmut Döhner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hartmut Döhner more than expected).
Fields of papers citing papers by Hartmut Döhner
This network shows the impact of papers produced by Hartmut Döhner. 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 Hartmut Döhner. The network helps show where Hartmut Döhner may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hartmut Döhner, 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 | 22 | |
| 4 | 2023 | 2 | |
| 5 | 2023 | 5 | |
| 6 | 2022 | 42 | |
| 7 | 2022 | 12 | |
| 8 | 2021 | 16 | |
| 9 | 2020 | 16 | |
| 10 | 2020 | 9 | |
| 11 | Genomics of Acute Myeloid Leukemia Diagnosis and Pathwaysbreakdown → | 2017 | 331 |
| 12 | 2013 | 31 | |
| 13 | 2013 | 110 | |
| 14 | 2013 | 1 | |
| 15 | 2012 | 161 | |
| 16 | 2011 | 37 | |
| 17 | 2010 | 262 | |
| 18 | 2009 | 238 | |
| 19 | Diagnosis and management of acute myeloid leukemia in adults: recommendations from an international expert panel, on behalf of the European LeukemiaNetbreakdown → | 2009 | 2350 |
| 20 | 2009 | 45 |
About Hartmut Döhner
Hartmut Döhner is a scholar working on Hematology, Genetics and Pathology and Forensic Medicine, having authored 653 papers that have together received 44.9k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (288 papers), Chronic Lymphocytic Leukemia Research (221 papers), Lymphoma Diagnosis and Treatment (132 papers), Chronic Myeloid Leukemia Treatments (119 papers), Immunodeficiency and Autoimmune Disorders (82 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (81 papers), Acute Lymphoblastic Leukemia research (71 papers) and Protein Degradation and Inhibitors (56 papers). The work is most often cited by research in Hematology (21.1k citations), Genetics (19.0k citations) and Pathology and Forensic Medicine (12.1k citations). Hartmut Döhner has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Stephan Stilgenbauer, Konstanze Döhner, Peter Lichter, Lars Bullinger, Clara D. Bloomfield, Richard F. Schlenk, Axel Benner, Daniel J. Weisdorf, Elihu H. Estey and Martin Bentz. Their work appears in journals such as Blood, Journal of Clinical Oncology, Leukemia, Haematologica and British Journal of Haematology.
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.