Peter Würl
Impact in
- Cancer Research top 2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Oncology top 2%
- Cancer-related Molecular Pathways
Papers in
-
- Sarcoma Diagnosis and Treatment 41
- Oncology 41
- Cancer-related Molecular Pathways 26
- Cancer Diagnosis and Treatment 4
- Co-authors
- Helge Täubert (79 shared papers)Axel Meye (44 shared papers)Thomas Greither (20 shared papers)Matthias Bache (51 shared papers)Andrej Udelnow (13 shared papers)Lukasz F. Grochola (9 shared papers)Frank Bartel (28 shared papers)Christine Lautenschläger (16 shared papers)
- Journals
- International Journal of Cancer (8 papers)BMC Cancer (6 papers)International Journal of Oncology (6 papers)Cancer Letters (5 papers)Oncogene (4 papers)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Peter Würl
108 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 103
- Cancer Research 735
- Oncology 890
- Molecular Biology 1.5k
- Pulmonary and Respiratory Medicine 577
- Cell Biology 253
Countries citing papers authored by Peter Würl
This map shows the geographic impact of Peter Würl'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 Peter Würl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Würl more than expected).
Fields of papers citing papers by Peter Würl
This network shows the impact of papers produced by Peter Würl. 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 Peter Würl. The network helps show where Peter Würl may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter Würl, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 108 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 382 | |
| 2 | 2007 | 138 | |
| 3 | 2006 | 117 | |
| 4 | 2008 | 111 | |
| 5 | 2005 | 105 | |
| 6 | 2004 | 101 | |
| 7 | 2011 | 86 | |
| 8 | 2005 | 80 | |
| 9 | Elevated expression level of survivin protein in soft-tissue sarcomas is a strong independent predictor of survival. | 2003 | 69 |
| 10 | 1998 | 68 | |
| 11 | Prognosis is correlated with p53 mutation type for soft tissue sarcoma patients. | 1996 | 64 |
| 12 | 2000 | 55 | |
| 13 | 2004 | 48 | |
| 14 | 2004 | 47 | |
| 15 | 2007 | 47 | |
| 16 | 2004 | 45 | |
| 17 | 2011 | 45 | |
| 18 | 2009 | 43 | |
| 19 | 1995 | 42 | |
| 20 | 2001 | 41 |
About Peter Würl
Peter Würl is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Molecular Biology, Cancer Research and Surgery, having authored 108 papers that have together received 2.9k indexed citations. Recurring topics across this work include Sarcoma Diagnosis and Treatment (41 papers), Cancer-related Molecular Pathways (26 papers), Cancer Research and Treatments (9 papers), Cancer Genomics and Diagnostics (7 papers), Epigenetics and DNA Methylation (6 papers), Colorectal and Anal Carcinomas (5 papers), RNA Interference and Gene Delivery (4 papers) and Cancer Diagnosis and Treatment (4 papers). The work is most often cited by research in Cancer Research (735 citations), Oncology (890 citations), Molecular Biology (1.5k citations), Pulmonary and Respiratory Medicine (577 citations) and Cell Biology (253 citations). Peter Würl has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Helge Täubert, Axel Meye, Thomas Greither, Matthias Bache, Andrej Udelnow, Lukasz F. Grochola, Frank Bartel, Christine Lautenschläger, Hannelore Schmidt and Matthias Kappler. Their work appears in journals such as International Journal of Cancer, BMC Cancer, International Journal of Oncology, Cancer Letters and Oncogene.
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.