Kathrin Weidele
Impact in
- Geriatrics and Gerontology top 10%
- Sirtuins and Resveratrol in Medicine
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- MicroRNA in disease regulation
- Cancer Genomics and Diagnostics
- Cancer-related molecular mechanisms research
Papers in
- Oncology 10
- Cancer Cells and Metastasis 4
- PARP inhibition in cancer therapy 3
- Cutaneous Melanoma Detection and Management 1
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- Cancer Genomics and Diagnostics 3
- Co-authors
- Alexander Bürkle (3 shared papers)Sascha Beneke (2 shared papers)Christoph A. Klein (4 shared papers)Christian Werno (3 shared papers)Stefan Kirsch (1 shared paper)Andreas Keller (1 shared paper)Anke Schlenska‐Lange (1 shared paper)Florian Lüke (1 shared paper)
- Journals
- Nature Communications (4 papers)International Journal of Cancer (2 papers)Nature Cancer (1 paper)DNA repair (1 paper)PLoS Genetics (1 paper)
- Partner nations
- GermanySwitzerlandUnited States
In The Last Decade
Kathrin Weidele
11 papers receiving 326 citations
Peers
Comparison fields: 5 of 61
- Geriatrics and Gerontology 28
- Cancer Research 100
- Oncology 131
- Physiology 17
- Aging 5
Countries citing papers authored by Kathrin Weidele
This map shows the geographic impact of Kathrin Weidele'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 Kathrin Weidele with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kathrin Weidele more than expected).
Fields of papers citing papers by Kathrin Weidele
This network shows the impact of papers produced by Kathrin Weidele. 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 Kathrin Weidele. The network helps show where Kathrin Weidele may publish in the future.
Co-authors
The 25 scholars most cited alongside Kathrin Weidele, 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 | 2018 | 73 | |
| 2 | 2021 | 67 | |
| 3 | 2018 | 49 | |
| 4 | 2020 | 45 | |
| 5 | 2017 | 28 | |
| 6 | 2010 | 26 | |
| 7 | 2012 | 23 | |
| 8 | 2018 | 7 | |
| 9 | 2025 | 6 | |
| 10 | 2023 | 3 | |
| 11 | 2024 | 1 | |
| 12 | 2025 | 0 |
About Kathrin Weidele
Kathrin Weidele is a scholar working on Oncology, Cancer Research, Geriatrics and Gerontology, Immunology and Physiology, having authored 12 papers that have together received 328 indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (4 papers), Cancer Genomics and Diagnostics (3 papers), PARP inhibition in cancer therapy (3 papers), 3D Printing in Biomedical Research (2 papers), CRISPR and Genetic Engineering (1 paper), Microfluidic and Bio-sensing Technologies (1 paper), Cutaneous Melanoma Detection and Management (1 paper) and Cell Adhesion Molecules Research (1 paper). The work is most often cited by research in Geriatrics and Gerontology (28 citations), Cancer Research (100 citations), Oncology (131 citations), Physiology (17 citations) and Aging (5 citations). Kathrin Weidele has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Alexander Bürkle, Sascha Beneke, Christoph A. Klein, Christian Werno, Stefan Kirsch, Andreas Keller, Anke Schlenska‐Lange, Florian Lüke, Tobias Fehlmann and Bernhard Michael Polzer. Their work appears in journals such as Nature Communications, International Journal of Cancer, Nature Cancer, DNA repair and PLoS Genetics.
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.