Tabea Wiedmer
Impact in
- Geriatrics and Gerontology top 10%
- Sirtuins and Resveratrol in Medicine
- Physiology top 10%
- Calcium signaling and nucleotide metabolism
Papers in
- Oncology 7
- Drug Transport and Resistance Mechanisms 4
- Lung Cancer Research Studies 2
- Pancreatic and Hepatic Oncology Research 2
- Co-authors
- Aurel Perren (5 shared papers)Ilaria Marinoni (4 shared papers)Annunziata Di Domenico (3 shared papers)Giulio Superti‐Furga (11 shared papers)Enrico Girardi (3 shared papers)Mario P. Tschan (2 shared papers)Ulrich Goldmann (3 shared papers)Ruben Bill (1 shared paper)
- Journals
- Endocrine Related Cancer (2 papers)Life Science Alliance (2 papers)Nature Communications (1 paper)Journal of Molecular Biology (1 paper)Cell chemical biology (1 paper)
- Partner nations
- AustriaSwitzerlandItaly
In The Last Decade
Tabea Wiedmer
15 papers receiving 370 citations
Peers
Comparison fields: 5 of 56
- Geriatrics and Gerontology 25
- Physiology 31
- Oncology 157
- Epidemiology 188
- Neurology 77
Countries citing papers authored by Tabea Wiedmer
This map shows the geographic impact of Tabea Wiedmer'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 Tabea Wiedmer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tabea Wiedmer more than expected).
Fields of papers citing papers by Tabea Wiedmer
This network shows the impact of papers produced by Tabea Wiedmer. 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 Tabea Wiedmer. The network helps show where Tabea Wiedmer may publish in the future.
Co-authors
The 25 scholars most cited alongside Tabea Wiedmer, 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 | 2017 | 96 | |
| 2 | 2020 | 86 | |
| 3 | 2017 | 56 | |
| 4 | 2020 | 39 | |
| 5 | 2017 | 26 | |
| 6 | 2022 | 18 | |
| 7 | 2020 | 15 | |
| 8 | 2024 | 10 | |
| 9 | 2023 | 7 | |
| 10 | 2022 | 6 | |
| 11 | 2022 | 5 | |
| 12 | 2025 | 2 | |
| 13 | 2025 | 2 | |
| 14 | 2025 | 1 | |
| 15 | 2024 | 1 | |
| 16 | 2024 | 0 |
About Tabea Wiedmer
Tabea Wiedmer is a scholar working on Molecular Biology, Oncology, Epidemiology, Biochemistry and Surgery, having authored 16 papers that have together received 370 indexed citations. Recurring topics across this work include Amino Acid Enzymes and Metabolism (5 papers), Drug Transport and Resistance Mechanisms (4 papers), Neuroendocrine Tumor Research Advances (4 papers), Metabolism and Genetic Disorders (2 papers), Neuroblastoma Research and Treatments (2 papers), Trace Elements in Health (2 papers), Lung Cancer Research Studies (2 papers) and Pancreatic and Hepatic Oncology Research (2 papers). The work is most often cited by research in Geriatrics and Gerontology (25 citations), Physiology (31 citations), Oncology (157 citations), Epidemiology (188 citations) and Neurology (77 citations). Tabea Wiedmer has collaborated with scholars based in Austria, Switzerland and Italy. Frequent co-authors include Aurel Perren, Ilaria Marinoni, Annunziata Di Domenico, Giulio Superti‐Furga, Enrico Girardi, Mario P. Tschan, Ulrich Goldmann, Ruben Bill, Philippe Krebs and Annika Blank. Their work appears in journals such as Endocrine Related Cancer, Life Science Alliance, Nature Communications, Journal of Molecular Biology and Cell chemical biology.
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.