Daniela V. Wenge
Impact in
-
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
-
- Protein Degradation and Inhibitors
- Histone Deacetylase Inhibitors Research
- Ubiquitin and proteasome pathways
- Retinoids in leukemia and cellular processes
Papers in
-
- Protein Degradation and Inhibitors 6
- Genomics and Chromatin Dynamics 2
-
- Acute Myeloid Leukemia Research 5
- Chronic Myeloid Leukemia Treatments 2
- Co-authors
- Scott A. Armstrong (7 shared papers)Christoph Schliemann (4 shared papers)Jevon Cutler (3 shared papers)Florian Perner (4 shared papers)Gerhard Ehninger (1 shared paper)Matthias Stelljes (3 shared papers)Christoph Groth (1 shared paper)Christian Thiede (1 shared paper)
- Journals
- Blood (3 papers)Oncogenesis (1 paper)Cell Reports (1 paper)HemaSphere (1 paper)EMBO Reports (1 paper)
- Partner nations
- United StatesGermanySwitzerland
In The Last Decade
Daniela V. Wenge
11 papers receiving 73 citations
Peers
Comparison fields: 5 of 16
- Hematology 40
- Molecular Biology 36
- Genetics 5
- Public Health, Environmental and Occupational Health 13
- Oncology 11
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 | 14 | |
| 2 | 2015 | 10 | |
| 3 | 2020 | 10 | |
| 4 | 2024 | 9 | |
| 5 | 2023 | 7 | |
| 6 | 2023 | 7 | |
| 7 | 2024 | 5 | |
| 8 | 2022 | 4 | |
| 9 | 2025 | 3 | |
| 10 | 2025 | 2 | |
| 11 | 2023 | 2 | |
| 12 | 2025 | 0 | |
| 13 | 2021 | 0 |
About Daniela V. Wenge
Daniela V. Wenge is a scholar working on Molecular Biology, Hematology, Genetics, Public Health, Environmental and Occupational Health and Neurology, having authored 13 papers that have together received 73 indexed citations. Recurring topics across this work include Protein Degradation and Inhibitors (6 papers), Acute Myeloid Leukemia Research (5 papers), Genomics and Chromatin Dynamics (2 papers), Acute Lymphoblastic Leukemia research (2 papers), Chronic Myeloid Leukemia Treatments (2 papers), Chronic Lymphocytic Leukemia Research (1 paper), Cancer-related Molecular Pathways (1 paper) and Childhood Cancer Survivors' Quality of Life (1 paper). The work is most often cited by research in Hematology (40 citations), Molecular Biology (36 citations), Genetics (5 citations), Public Health, Environmental and Occupational Health (13 citations) and Oncology (11 citations). Daniela V. Wenge has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Scott A. Armstrong, Christoph Schliemann, Jevon Cutler, Florian Perner, Gerhard Ehninger, Matthias Stelljes, Christoph Groth, Christian Thiede, Wolfgang E. Berdel and Jörn C. Albring. Their work appears in journals such as Blood, Oncogenesis, Cell Reports, HemaSphere and EMBO Reports.
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.