Gerhard Behre
Impact in
- Hematology top 0.2%
- Acute Myeloid Leukemia Research
- Hematopoietic Stem Cell Transplantation
- Cancer Research top 2%
- MicroRNA in disease regulation
Papers in
- Hematology 66
- Acute Myeloid Leukemia Research 54
- Hematopoietic Stem Cell Transplantation 23
- Chronic Myeloid Leukemia Treatments 7
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- Ubiquitin and proteasome pathways 12
- Retinoids in leukemia and cellular processes 12
- Co-authors
- Daniel G. Tenen (31 shared papers)Wolfgang Hiddemann (21 shared papers)Thomas Pabst (3 shared papers)Beatrice U. Mueller (3 shared papers)Hanna S. Radomska (4 shared papers)Susanne Schnittger (3 shared papers)Pu Zhang (1 shared paper)Sailaja Narravula (1 shared paper)
- Journals
- Blood (23 papers)Annals of Hematology (7 papers)Bone Marrow Transplantation (6 papers)Oncogene (5 papers)Leukemia (5 papers)
- Partner nations
- GermanyUnited StatesSingapore
In The Last Decade
Gerhard Behre
106 papers receiving 4.7k citations
Gerhard Behre's Hit Papers
Peers
Comparison fields: 5 of 118
- Hematology 2.2k
- Cancer Research 757
- Genetics 496
- Molecular Biology 2.7k
- Immunology 740
Countries citing papers authored by Gerhard Behre
This map shows the geographic impact of Gerhard Behre'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 Gerhard Behre with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gerhard Behre more than expected).
Fields of papers citing papers by Gerhard Behre
This network shows the impact of papers produced by Gerhard Behre. 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 Gerhard Behre. The network helps show where Gerhard Behre may publish in the future.
Co-authors
The 25 scholars most cited alongside Gerhard Behre, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 110 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Dominant-negative mutations of CEBPA, encoding CCAAT/enhancer binding protein-α (C/EBPα), in acute myeloid leukemia Hit paper breakdown → | 2001 | 682 |
| 2 | 2001 | 376 | |
| 3 | 1999 | 359 | |
| 4 | 2009 | 237 | |
| 5 | 2002 | 185 | |
| 6 | 2002 | 175 | |
| 7 | 1999 | 151 | |
| 8 | 2002 | 127 | |
| 9 | 1999 | 127 | |
| 10 | 2014 | 109 | |
| 11 | 2010 | 104 | |
| 12 | 2012 | 86 | |
| 13 | 2013 | 77 | |
| 14 | 2011 | 75 | |
| 15 | 1999 | 72 | |
| 16 | 1992 | 69 | |
| 17 | 2002 | 68 | |
| 18 | 1995 | 64 | |
| 19 | 2007 | 57 | |
| 20 | 2018 | 57 |
About Gerhard Behre
Gerhard Behre is a scholar working on Hematology, Molecular Biology, Oncology, Immunology and Genetics, having authored 110 papers that have together received 4.8k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (54 papers), Hematopoietic Stem Cell Transplantation (23 papers), Ubiquitin and proteasome pathways (12 papers), Retinoids in leukemia and cellular processes (12 papers), MicroRNA in disease regulation (10 papers), Chronic Myeloid Leukemia Treatments (7 papers), Neutropenia and Cancer Infections (7 papers) and Antifungal resistance and susceptibility (7 papers). The work is most often cited by research in Hematology (2.2k citations), Cancer Research (757 citations), Genetics (496 citations), Molecular Biology (2.7k citations) and Immunology (740 citations). Gerhard Behre has collaborated with scholars based in Germany, United States and Singapore. Frequent co-authors include Daniel G. Tenen, Wolfgang Hiddemann, Thomas Pabst, Beatrice U. Mueller, Hanna S. Radomska, Susanne Schnittger, Pu Zhang, Sailaja Narravula, John Anto Pulikkan and Maximilian Christopeit. Their work appears in journals such as Blood, Annals of Hematology, Bone Marrow Transplantation, Oncogene and Leukemia.
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.