Peter Ulz
Impact in
- Cancer Research top 0.5%
- Cancer Genomics and Diagnostics
- Oncology top 2%
- Cancer Cells and Metastasis
- Pancreatic and Hepatic Oncology Research
- Cutaneous Melanoma Detection and Management
Papers in
-
- Cancer Genomics and Diagnostics 24
- Oncology 14
- Cancer Cells and Metastasis 3
- Co-authors
- Ellen Heitzer (27 shared papers)Jochen B. Geigl (23 shared papers)Michael R. Speicher (24 shared papers)Martina Auer (16 shared papers)Martin Pichler (5 shared papers)Thomas Bauernhofer (9 shared papers)Sigurd Lax (6 shared papers)Florian Eisner (3 shared papers)
- Journals
- International Journal of Cancer (4 papers)Nature Communications (4 papers)Clinical Chemistry (4 papers)Nature Genetics (3 papers)Genome Medicine (3 papers)
- Partner nations
- AustriaGermanyUnited States
In The Last Decade
Peter Ulz
41 papers receiving 4.1k citations
Peter Ulz's Hit Papers
Peers
Comparison fields: 5 of 106
- Cancer Research 2.6k
- Oncology 1.6k
- Pulmonary and Respiratory Medicine 1.1k
- Pathology and Forensic Medicine 552
- Molecular Biology 1.6k
Countries citing papers authored by Peter Ulz
This map shows the geographic impact of Peter Ulz'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 Ulz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Ulz more than expected).
Fields of papers citing papers by Peter Ulz
This network shows the impact of papers produced by Peter Ulz. 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 Ulz. The network helps show where Peter Ulz may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter Ulz, 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Circulating Tumor DNA as a Liquid Biopsy for Cancer Hit paper breakdown → | 2014 | 646 |
| 2 | Germline mutations in BAP1 predispose to melanocytic tumors Hit paper breakdown → | 2011 | 583 |
| 3 | 2013 | 446 | |
| 4 | 2016 | 337 | |
| 5 | 2013 | 303 | |
| 6 | 2019 | 186 | |
| 7 | 2013 | 155 | |
| 8 | 2014 | 149 | |
| 9 | 2016 | 133 | |
| 10 | 2013 | 113 | |
| 11 | 2014 | 110 | |
| 12 | 2015 | 97 | |
| 13 | 2012 | 92 | |
| 14 | 2012 | 84 | |
| 15 | 2015 | 75 | |
| 16 | 2015 | 59 | |
| 17 | 2014 | 51 | |
| 18 | 2010 | 48 | |
| 19 | 2017 | 48 | |
| 20 | 2017 | 48 |
About Peter Ulz
Peter Ulz is a scholar working on Cancer Research, Oncology, Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine and Molecular Biology, having authored 42 papers that have together received 4.2k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (24 papers), Genetic factors in colorectal cancer (9 papers), Lung Cancer Treatments and Mutations (4 papers), Prostate Cancer Treatment and Research (4 papers), Epigenetics and DNA Methylation (3 papers), Acute Myeloid Leukemia Research (3 papers), RNA modifications and cancer (3 papers) and Cancer Cells and Metastasis (3 papers). The work is most often cited by research in Cancer Research (2.6k citations), Oncology (1.6k citations), Pulmonary and Respiratory Medicine (1.1k citations), Pathology and Forensic Medicine (552 citations) and Molecular Biology (1.6k citations). Peter Ulz has collaborated with scholars based in Austria, Germany and United States. Frequent co-authors include Ellen Heitzer, Jochen B. Geigl, Michael R. Speicher, Martina Auer, Martin Pichler, Thomas Bauernhofer, Sigurd Lax, Florian Eisner, Edgar Petru and Sabine Riethdorf. Their work appears in journals such as International Journal of Cancer, Nature Communications, Clinical Chemistry, Nature Genetics and Genome Medicine.
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.