Peter Krippl
Impact in
- Cancer Research top 5%
- Cancer, Hypoxia, and Metabolism
- Oncology top 5%
- Cutaneous Melanoma Detection and Management
Papers in
-
- Angiogenesis and VEGF in Cancer 5
- Kruppel-like factors research 4
- Oncology 13
- HER2/EGFR in Cancer Research 4
- Co-authors
- Hellmut Samonigg (26 shared papers)Uwe Langsenlehner (31 shared papers)Wilfried Renner (31 shared papers)Babak Yazdani‐Biuki (18 shared papers)Thomas C. Wascher (16 shared papers)Bernhard Paulweber (13 shared papers)Gerald Wolf (12 shared papers)Armin Gerger (14 shared papers)
- Journals
- Breast Cancer Research and Treatment (11 papers)Leukemia Research (2 papers)Journal of Cancer Research and Clinical Oncology (2 papers)European Journal of Cancer (2 papers)Clinical Cancer Research (2 papers)
- Partner nations
- AustriaGermanySwitzerland
In The Last Decade
Peter Krippl
58 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 109
- Cancer Research 339
- Oncology 519
- Hematology 145
- Rheumatology 186
- Molecular Biology 630
Countries citing papers authored by Peter Krippl
This map shows the geographic impact of Peter Krippl'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 Krippl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Krippl more than expected).
Fields of papers citing papers by Peter Krippl
This network shows the impact of papers produced by Peter Krippl. 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 Krippl. The network helps show where Peter Krippl may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter Krippl, 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 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 276 | |
| 2 | 2006 | 165 | |
| 3 | 2006 | 156 | |
| 4 | 2005 | 82 | |
| 5 | 2006 | 69 | |
| 6 | 2005 | 66 | |
| 7 | 2014 | 64 | |
| 8 | 2007 | 60 | |
| 9 | 2005 | 51 | |
| 10 | 2004 | 50 | |
| 11 | 2003 | 50 | |
| 12 | 2003 | 47 | |
| 13 | 2004 | 46 | |
| 14 | 2003 | 44 | |
| 15 | 2013 | 44 | |
| 16 | 2010 | 39 | |
| 17 | 2007 | 39 | |
| 18 | 2009 | 39 | |
| 19 | 2006 | 35 | |
| 20 | 2011 | 34 |
About Peter Krippl
Peter Krippl is a scholar working on Molecular Biology, Oncology, Hematology, Cancer Research and Genetics, having authored 59 papers that have together received 2.0k indexed citations. Recurring topics across this work include Myeloproliferative Neoplasms: Diagnosis and Treatment (6 papers), Acute Myeloid Leukemia Research (6 papers), Angiogenesis and VEGF in Cancer (5 papers), Estrogen and related hormone effects (5 papers), Kruppel-like factors research (4 papers), HER2/EGFR in Cancer Research (4 papers), Cell Adhesion Molecules Research (3 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). The work is most often cited by research in Cancer Research (339 citations), Oncology (519 citations), Hematology (145 citations), Rheumatology (186 citations) and Molecular Biology (630 citations). Peter Krippl has collaborated with scholars based in Austria, Germany and Switzerland. Frequent co-authors include Hellmut Samonigg, Uwe Langsenlehner, Wilfried Renner, Babak Yazdani‐Biuki, Thomas C. Wascher, Bernhard Paulweber, Gerald Wolf, Armin Gerger, Günter Hofmann and Josef Haas. Their work appears in journals such as Breast Cancer Research and Treatment, Leukemia Research, Journal of Cancer Research and Clinical Oncology, European Journal of Cancer and Clinical Cancer 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.