Kathrin Weidele
Impact in
- Geriatrics and Gerontology top 10%
- Sirtuins and Resveratrol in Medicine
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Cancer Genomics and Diagnostics
Papers in
- Oncology 7
- Cancer Cells and Metastasis 3
- PARP inhibition in cancer therapy 3
- Cytokine Signaling Pathways and Interactions 1
- Cutaneous Melanoma Detection and Management 1
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- Single-cell and spatial transcriptomics 1
- Melanoma and MAPK Pathways 1
- Co-authors
- Alexander Bürkle (3 shared papers)Sascha Beneke (2 shared papers)Christoph A. Klein (5 shared papers)Christian Werno (4 shared papers)Anke Schlenska‐Lange (1 shared paper)Tobias Fehlmann (1 shared paper)Florian Lüke (1 shared paper)Stefan Kirsch (2 shared papers)
- Journals
- International Journal of Cancer (2 papers)Nature Communications (2 papers)Cancer Research (1 paper)Biochemical Pharmacology (1 paper)PLoS Genetics (1 paper)
- Partner nations
- GermanyUnited States
In The Last Decade
Kathrin Weidele
8 papers receiving 197 citations
Peers
Comparison fields: 5 of 51
- Geriatrics and Gerontology 26
- Cancer Research 73
- Physiology 15
- Oncology 75
- Aging 4
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 | 2021 | 61 | |
| 2 | 2018 | 60 | |
| 3 | 2010 | 24 | |
| 4 | 2017 | 24 | |
| 5 | 2012 | 21 | |
| 6 | 2018 | 6 | |
| 7 | 2023 | 1 | |
| 8 | 2019 | 1 |
About Kathrin Weidele
Kathrin Weidele is a scholar working on Oncology, Molecular Biology, Cancer Research, Geriatrics and Gerontology and Physiology, having authored 8 papers that have together received 198 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (4 papers), Cancer Cells and Metastasis (3 papers), PARP inhibition in cancer therapy (3 papers), Single-cell and spatial transcriptomics (1 paper), Cytokine Signaling Pathways and Interactions (1 paper), Cutaneous Melanoma Detection and Management (1 paper), Melanoma and MAPK Pathways (1 paper) and Calcium signaling and nucleotide metabolism (1 paper). The work is most often cited by research in Geriatrics and Gerontology (26 citations), Cancer Research (73 citations), Physiology (15 citations), Oncology (75 citations) and Aging (4 citations). Kathrin Weidele has collaborated with scholars based in Germany and United States. Frequent co-authors include Alexander Bürkle, Sascha Beneke, Christoph A. Klein, Christian Werno, Anke Schlenska‐Lange, Tobias Fehlmann, Florian Lüke, Stefan Kirsch, Andreas Keller and Maike Schmitz. Their work appears in journals such as International Journal of Cancer, Nature Communications, Cancer Research, Biochemical Pharmacology 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.