Peter W. Eide
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- Cancer Genomics and Diagnostics
- MicroRNA in disease regulation
- Oncology top 5%
- Colorectal Cancer Treatments and Studies
- Cancer Cells and Metastasis
- Cancer Immunotherapy and Biomarkers
Papers in
- Oncology 12
- Colorectal Cancer Treatments and Studies 9
- Cancer Cells and Metastasis 2
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- Cancer Genomics and Diagnostics 6
- Cancer-related molecular mechanisms research 2
- Co-authors
- Ragnhild A. Lothe (19 shared papers)Stine A. Danielsen (7 shared papers)Ina A. Eilertsen (12 shared papers)Guro E. Lind (3 shared papers)Anita Sveen (13 shared papers)Jarle Bruun (9 shared papers)Merete Hektoen (3 shared papers)M. Eknæs (1 shared paper)
In The Last Decade
Peter W. Eide
19 papers receiving 2.0k citations
Peter W. Eide's Hit Papers
Peers
Comparison fields: 5 of 93
- Cancer Research 521
- Oncology 692
- Pathology and Forensic Medicine 328
- Molecular Biology 1000
- Biotechnology 67
Countries citing papers authored by Peter W. Eide
This map shows the geographic impact of Peter W. Eide'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 W. Eide with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter W. Eide more than expected).
Fields of papers citing papers by Peter W. Eide
This network shows the impact of papers produced by Peter W. Eide. 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 W. Eide. The network helps show where Peter W. Eide may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter W. Eide, 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 | Epigenetic and genetic features of 24 colon cancer cell lines Hit paper breakdown → | 2013 | 698 |
| 2 | Multi-omics of 34 colorectal cancer cell lines - a resource for biomedical studies Hit paper breakdown → | 2017 | 288 |
| 3 | 2014 | 263 | |
| 4 | 2017 | 199 | |
| 5 | 2017 | 175 | |
| 6 | 2015 | 86 | |
| 7 | 2012 | 63 | |
| 8 | 2021 | 42 | |
| 9 | 2018 | 36 | |
| 10 | 2018 | 33 | |
| 11 | 2020 | 29 | |
| 12 | 2021 | 26 | |
| 13 | 2019 | 22 | |
| 14 | 2017 | 20 | |
| 15 | 2019 | 13 | |
| 16 | 2021 | 10 | |
| 17 | 2021 | 9 | |
| 18 | 2021 | 4 | |
| 19 | 2018 | 1 |
About Peter W. Eide
Peter W. Eide is a scholar working on Oncology, Cancer Research, Pathology and Forensic Medicine, Molecular Biology and Genetics, having authored 19 papers that have together received 2.0k indexed citations. Recurring topics across this work include Colorectal Cancer Treatments and Studies (9 papers), Genetic factors in colorectal cancer (7 papers), Cancer Genomics and Diagnostics (6 papers), Heat shock proteins research (2 papers), Cancer Cells and Metastasis (2 papers), RNA modifications and cancer (2 papers), Cancer-related molecular mechanisms research (2 papers) and Ferroptosis and cancer prognosis (1 paper). The work is most often cited by research in Cancer Research (521 citations), Oncology (692 citations), Pathology and Forensic Medicine (328 citations), Molecular Biology (1000 citations) and Biotechnology (67 citations). Peter W. Eide has collaborated with scholars based in Norway, Finland and Sweden. Frequent co-authors include Ragnhild A. Lothe, Stine A. Danielsen, Ina A. Eilertsen, Guro E. Lind, Anita Sveen, Jarle Bruun, Merete Hektoen, M. Eknæs, Arild Nesbakken and Edward Leithe. Their work appears in journals such as ESMO Open, Genome Medicine, Molecular Oncology, Oncogenesis 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.