Daniela D. Weber
Impact in
- Physiology top 10%
- Diet and metabolism studies
- Adipose Tissue and Metabolism
- Dietary Effects on Health
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- Cancer, Hypoxia, and Metabolism
Papers in
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- Epigenetics and DNA Methylation 4
- Melanoma and MAPK Pathways 2
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- Diet and metabolism studies 5
- Co-authors
- Barbara Kofler (14 shared papers)Luca Catalano (9 shared papers)Sepideh Aminzadeh-Gohari (10 shared papers)René G. Feichtinger (6 shared papers)Roland Lang (7 shared papers)Silvia Vidali (1 shared paper)Peter Koelblinger (2 shared papers)Guido Dallmann (2 shared papers)
- Journals
- Molecular Metabolism (2 papers)Seminars in Cell and Developmental Biology (1 paper)Pharmaceutics (1 paper)Cancers (1 paper)Journal of the European Academy of Dermatology and Venereology (1 paper)
- Partner nations
- AustriaGermanyUnited Kingdom
In The Last Decade
Daniela D. Weber
15 papers receiving 471 citations
Daniela D. Weber's Hit Papers
Peers
Comparison fields: 5 of 68
- Physiology 268
- Cancer Research 103
- Endocrinology, Diabetes and Metabolism 80
- Aging 7
- Molecular Biology 195
Countries citing papers authored by Daniela D. Weber
This map shows the geographic impact of Daniela D. Weber'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 D. Weber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela D. Weber more than expected).
Fields of papers citing papers by Daniela D. Weber
This network shows the impact of papers produced by Daniela D. Weber. 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 D. Weber. The network helps show where Daniela D. Weber may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela D. Weber, 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 | Ketogenic diet in the treatment of cancer – Where do we stand? Hit paper breakdown → | 2019 | 318 |
| 2 | 2020 | 31 | |
| 3 | 2019 | 27 | |
| 4 | 2022 | 22 | |
| 5 | 2021 | 14 | |
| 6 | 2024 | 12 | |
| 7 | 2020 | 11 | |
| 8 | 2023 | 9 | |
| 9 | 2023 | 7 | |
| 10 | 2019 | 7 | |
| 11 | 2023 | 6 | |
| 12 | 2023 | 5 | |
| 13 | 2024 | 3 | |
| 14 | 2025 | 2 | |
| 15 | 2024 | 2 | |
| 16 | 2025 | 0 |
About Daniela D. Weber
Daniela D. Weber is a scholar working on Molecular Biology, Physiology, Geriatrics and Gerontology, Cell Biology and Cancer Research, having authored 16 papers that have together received 476 indexed citations. Recurring topics across this work include Diet and metabolism studies (5 papers), Epigenetics and DNA Methylation (4 papers), Melanoma and MAPK Pathways (2 papers), Cancer, Hypoxia, and Metabolism (2 papers), Sirtuins and Resveratrol in Medicine (2 papers), Acute Myeloid Leukemia Research (1 paper), Estrogen and related hormone effects (1 paper) and Hypothalamic control of reproductive hormones (1 paper). The work is most often cited by research in Physiology (268 citations), Cancer Research (103 citations), Endocrinology, Diabetes and Metabolism (80 citations), Aging (7 citations) and Molecular Biology (195 citations). Daniela D. Weber has collaborated with scholars based in Austria, Germany and United Kingdom. Frequent co-authors include Barbara Kofler, Luca Catalano, Sepideh Aminzadeh-Gohari, René G. Feichtinger, Roland Lang, Silvia Vidali, Peter Koelblinger, Guido Dallmann, Michael Emberger and William J. Smiles. Their work appears in journals such as Molecular Metabolism, Seminars in Cell and Developmental Biology, Pharmaceutics, Cancers and Journal of the European Academy of Dermatology and Venereology.
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.