Maj Petersen
Impact in
- Oncology top 10%
- Cancer Cells and Metastasis
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
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- Hemophilia Treatment and Research 6
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- TGF-β signaling in diseases 4
- Co-authors
- Aristidis Moustakas (1 shared paper)Ulrich Valcourt (1 shared paper)Guidalberto Manfioletti (1 shared paper)Sylvie Thuault (1 shared paper)Carl‐Henrik Heldin (1 shared paper)Peter ten Dijke (2 shared papers)Geertje van der Horst (4 shared papers)Gabri van der Pluijm (4 shared papers)
- Journals
- Haemophilia (3 papers)Journal of Thrombosis and Haemostasis (2 papers)Oncogene (2 papers)The Journal of Cell Biology (1 paper)International Journal of Molecular Sciences (1 paper)
- Partner nations
- DenmarkNetherlandsSweden
In The Last Decade
Maj Petersen
16 papers receiving 936 citations
Peers
Comparison fields: 5 of 73
- Oncology 338
- Cancer Research 162
- Nephrology 71
- Molecular Biology 599
- Immunology and Allergy 32
Countries citing papers authored by Maj Petersen
This map shows the geographic impact of Maj Petersen'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 Maj Petersen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maj Petersen more than expected).
Fields of papers citing papers by Maj Petersen
This network shows the impact of papers produced by Maj Petersen. 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 Maj Petersen. The network helps show where Maj Petersen may publish in the future.
Co-authors
The 25 scholars most cited alongside Maj Petersen, 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 | 2006 | 419 | |
| 2 | 2007 | 187 | |
| 3 | 2009 | 160 | |
| 4 | 2011 | 104 | |
| 5 | 2010 | 31 | |
| 6 | 2016 | 9 | |
| 7 | 2019 | 9 | |
| 8 | 2018 | 8 | |
| 9 | 2020 | 5 | |
| 10 | 2020 | 4 | |
| 11 | 2020 | 4 | |
| 12 | 2020 | 2 | |
| 13 | 2008 | 2 | |
| 14 | 2024 | 1 | |
| 15 | 2020 | 1 | |
| 16 | 2020 | 1 |
About Maj Petersen
Maj Petersen is a scholar working on Hematology, Molecular Biology, Oncology, Pathology and Forensic Medicine and Rheumatology, having authored 16 papers that have together received 947 indexed citations. Recurring topics across this work include Hemophilia Treatment and Research (6 papers), TGF-β signaling in diseases (4 papers), Cancer Cells and Metastasis (2 papers), Genetic factors in colorectal cancer (2 papers), Osteoarthritis Treatment and Mechanisms (1 paper), Ovarian function and disorders (1 paper), Hormonal and reproductive studies (1 paper) and Chronic Kidney Disease and Diabetes (1 paper). The work is most often cited by research in Oncology (338 citations), Cancer Research (162 citations), Nephrology (71 citations), Molecular Biology (599 citations) and Immunology and Allergy (32 citations). Maj Petersen has collaborated with scholars based in Denmark, Netherlands and Sweden. Frequent co-authors include Aristidis Moustakas, Ulrich Valcourt, Guidalberto Manfioletti, Sylvie Thuault, Carl‐Henrik Heldin, Peter ten Dijke, Geertje van der Horst, Gabri van der Pluijm, Hiu Wing Cheung and Christel van den Hoogen. Their work appears in journals such as Haemophilia, Journal of Thrombosis and Haemostasis, Oncogene, The Journal of Cell Biology and International Journal of Molecular Sciences.
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.