Daniela V. Wenge
Impact in
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- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
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- Protein Degradation and Inhibitors
- Histone Deacetylase Inhibitors Research
- Genomics and Chromatin Dynamics
- Retinoids in leukemia and cellular processes
Papers in
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- Acute Myeloid Leukemia Research 6
- Chronic Myeloid Leukemia Treatments 3
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- Protein Degradation and Inhibitors 7
- Genomics and Chromatin Dynamics 3
- Co-authors
- Scott A. Armstrong (8 shared papers)Christoph Schliemann (4 shared papers)Florian Perner (4 shared papers)Christian Thiede (1 shared paper)Eric S. Fischer (2 shared papers)Marı́a Francisca Arteaga (1 shared paper)John G. Doench (1 shared paper)Ross L. Levine (2 shared papers)
- Journals
- Blood (2 papers)Cancers (1 paper)Seminars in Hematology (1 paper)HemaSphere (1 paper)Current Opinion in Hematology (1 paper)
- Partner nations
- United StatesGermanySwitzerland
In The Last Decade
Daniela V. Wenge
10 papers receiving 60 citations
Peers
Comparison fields: 5 of 17
- Hematology 37
- Molecular Biology 38
- Oncology 13
- Genetics 5
- Public Health, Environmental and Occupational Health 12
Countries citing papers authored by Daniela V. Wenge
This map shows the geographic impact of Daniela V. Wenge'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 V. Wenge with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela V. Wenge more than expected).
Fields of papers citing papers by Daniela V. Wenge
This network shows the impact of papers produced by Daniela V. Wenge. 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 V. Wenge. The network helps show where Daniela V. Wenge may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela V. Wenge, 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 | 2023 | 11 | |
| 2 | 2020 | 10 | |
| 3 | 2015 | 10 | |
| 4 | 2023 | 7 | |
| 5 | 2024 | 6 | |
| 6 | 2024 | 5 | |
| 7 | 2023 | 5 | |
| 8 | 2022 | 3 | |
| 9 | 2023 | 2 | |
| 10 | 2025 | 1 | |
| 11 | 2025 | 0 | |
| 12 | 2021 | 0 |
About Daniela V. Wenge
Daniela V. Wenge is a scholar working on Hematology, Molecular Biology, Genetics, Oncology and Public Health, Environmental and Occupational Health, having authored 12 papers that have together received 60 indexed citations. Recurring topics across this work include Protein Degradation and Inhibitors (7 papers), Acute Myeloid Leukemia Research (6 papers), Chronic Myeloid Leukemia Treatments (3 papers), Genomics and Chromatin Dynamics (3 papers), Acute Lymphoblastic Leukemia research (2 papers), Microtubule and mitosis dynamics (1 paper), Cancer-related Molecular Pathways (1 paper) and Myeloproliferative Neoplasms: Diagnosis and Treatment (1 paper). The work is most often cited by research in Hematology (37 citations), Molecular Biology (38 citations), Oncology (13 citations), Genetics (5 citations) and Public Health, Environmental and Occupational Health (12 citations). Daniela V. Wenge has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Scott A. Armstrong, Christoph Schliemann, Florian Perner, Christian Thiede, Eric S. Fischer, Marı́a Francisca Arteaga, John G. Doench, Ross L. Levine, W. E. Berdel and Christian Reicherts. Their work appears in journals such as Blood, Cancers, Seminars in Hematology, HemaSphere and Current Opinion in Hematology.
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.