Pidder Jansen‐Dürr
- Molecular Biology top 1%
- Oncology top 1%
- Physiology top 1%
- Epidemiology top 2%
- Cancer Research top 1%
- Co-authors
- Werner ZwerschkeMaria CavinatoDimitry SpitkovskyEveline HütterE. EigenbrodtSybille MazurekAlmut SchulzeGiulio Draetta
- Topics
- Telomeres, Telomerase, and Senescence (41 papers)Cancer-related Molecular Pathways (37 papers)Virus-based gene therapy research (28 papers)
- Cited by
- AgingOncologyCancer Research
In The Last Decade
Pidder Jansen‐Dürr
173 papers receiving 9.2k citations
Peers
Comparison fields: 5 of 139
- Molecular Biology 5.2k
- Oncology 2.6k
- Physiology 1.9k
- Epidemiology 1.5k
- Cancer Research 1.4k
Countries citing papers authored by Pidder Jansen‐Dürr
This map shows the geographic impact of Pidder Jansen‐Dürr'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 Pidder Jansen‐Dürr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pidder Jansen‐Dürr more than expected).
Fields of papers citing papers by Pidder Jansen‐Dürr
This network shows the impact of papers produced by Pidder Jansen‐Dürr. 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 Pidder Jansen‐Dürr. The network helps show where Pidder Jansen‐Dürr may publish in the future.
Co-authorship network of co-authors of Pidder Jansen‐Dürr
This figure shows the co-authorship network connecting the top 25 collaborators of Pidder Jansen‐Dürr. A scholar is included among the top collaborators of Pidder Jansen‐Dürr based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Pidder Jansen‐Dürr. Pidder Jansen‐Dürr is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 12 | |
| 3 | 0 | |
| 4 | 25 | |
| 5 | 21 | |
| 6 | 53 | |
| 7 | 3 | |
| 8 | 6 | |
| 9 | 11 | |
| 10 | 14 | |
| 11 | 171 | |
| 12 | 38 | |
| 13 | 69 | |
| 14 | 2 | |
| 15 | The mitochondrial ribosomal of the large subunit, afo1p, determines cellular longevity through mitochondrial back-signaling via TOR1 | 1 |
| 16 | The use of genetically engineered model systems for research on human aging | 1 |
| 17 | 54 | |
| 18 | 43 | |
| 19 | Identification of domains required for transcriptional activation and protein dimerization in the human papillomavirus type-16 E7 protein. | 28 |
| 20 | 218 |
About Pidder Jansen‐Dürr
Pidder Jansen‐Dürr is a scholar working on Aging, Physiology and Dermatology, having authored 176 papers that have together received 9.4k indexed citations. Recurring topics across this work include Telomeres, Telomerase, and Senescence (41 papers), Cancer-related Molecular Pathways (37 papers) and Virus-based gene therapy research (28 papers). The work is most often cited by research in Aging (559 citations), Oncology (2.6k citations) and Cancer Research (1.4k citations). Pidder Jansen‐Dürr has collaborated with scholars based in Austria, Germany and France. Frequent co-authors include Werner Zwerschke, Maria Cavinato, Dimitry Spitkovsky, Eveline Hütter, E. Eigenbrodt, Sybille Mazurek, Almut Schulze, Giulio Draetta, Michele Pagano and Berthold Henglein. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.
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.