Daniela D. Weber

15 papers receiving 477 citations

Daniela D. Weber's Hit Papers

Ketogenic diet in the treatment of cancer – Where do we stand? 2019 · 325 citations
3250+2+4Years since publication100200300

Peers

Daniela D. Weber
Comparison fields: 5 of 68
  • Physiology 272
  • Cancer Research 109
  • Endocrinology, Diabetes and Metabolism 81
  • Aging 7
  • Molecular Biology 199
Replace Luca Catalano with:
Luca Catalano Austria
Francesca Cuomo Italy
Tricia Moore United States
Martyna Wojtala Poland
Trevor M. Shew United States
Yemin Zhu China
Frederick C. Phillips United States
Pek Siew Lim Australia
Yangmeng Wang United States
Yunfei Luo China
Daniela D. Weber relative to Luca Catalano Austria Luca Catalano's profile →
Citations per field
00.5×1.5×
Luca Catalano · 1×
Citations per year

Countries citing papers authored by Daniela D. Weber

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Daniela D. Weber Line = papers co-authored together Daniela D. Weber links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1
Ketogenic diet in the treatment of cancer – Where do we stand?
Hit paper breakdown →
2019325
2 202031
3 201927
4 202222
5 202114
6 202412
7 202011
8 20239
9 20237
10 20197
11 20236
12 20235
13 20243
14 20252
15 20242
16 20250

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 483 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 (272 citations), Cancer Research (109 citations), Endocrinology, Diabetes and Metabolism (81 citations), Aging (7 citations) and Molecular Biology (199 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, Michael Emberger, Guido Dallmann, Peter Koelblinger and Julia Tevini. Their work appears in journals such as Molecular Metabolism, Biochimica et Biophysica Acta (BBA) - Bioenergetics, Journal of Agricultural and Food Chemistry, Pharmaceutics 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.

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