Mark Opdam
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- Breast Cancer Treatment Studies
- Oncology top 10%
- Cancer Immunotherapy and Biomarkers
- HER2/EGFR in Cancer Research
Papers in
-
- PI3K/AKT/mTOR signaling in cancer 8
- Oncology 9
- Cancer Immunotherapy and Biomarkers 3
- HER2/EGFR in Cancer Research 3
- Co-authors
- Sabine C. Linn (26 shared papers)Karin Beelen (9 shared papers)P. J. van Diest (8 shared papers)Jelle Wesseling (10 shared papers)Joyce Sanders (8 shared papers)Andrew Vincent (6 shared papers)Tesa Severson (5 shared papers)Vincent van der Noort (5 shared papers)
- Journals
- Annals of Oncology (4 papers)Breast Cancer Research (4 papers)European Journal of Cancer (3 papers)Cancer Research (2 papers)Breast Cancer Research and Treatment (2 papers)
- Partner nations
- NetherlandsBelgiumGermany
In The Last Decade
Mark Opdam
31 papers receiving 574 citations
Peers
Comparison fields: 5 of 71
- Cancer Research 157
- Oncology 217
- Molecular Biology 257
- Pulmonary and Respiratory Medicine 74
- Genetics 67
Countries citing papers authored by Mark Opdam
This map shows the geographic impact of Mark Opdam'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 Mark Opdam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Opdam more than expected).
Fields of papers citing papers by Mark Opdam
This network shows the impact of papers produced by Mark Opdam. 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 Mark Opdam. The network helps show where Mark Opdam may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark Opdam, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 87 | |
| 2 | 2022 | 58 | |
| 3 | 2014 | 47 | |
| 4 | 2015 | 43 | |
| 5 | 2014 | 36 | |
| 6 | 2015 | 33 | |
| 7 | 2016 | 27 | |
| 8 | 2014 | 26 | |
| 9 | 2019 | 23 | |
| 10 | 2015 | 22 | |
| 11 | 2013 | 21 | |
| 12 | 2018 | 18 | |
| 13 | 2020 | 18 | |
| 14 | 2016 | 17 | |
| 15 | 2020 | 16 | |
| 16 | 2015 | 14 | |
| 17 | 2022 | 11 | |
| 18 | 2018 | 10 | |
| 19 | 2020 | 9 | |
| 20 | 2022 | 7 |
About Mark Opdam
Mark Opdam is a scholar working on Molecular Biology, Oncology, Genetics, Cancer Research and Pulmonary and Respiratory Medicine, having authored 32 papers that have together received 583 indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (8 papers), Estrogen and related hormone effects (5 papers), Breast Cancer Treatment Studies (4 papers), Cancer Immunotherapy and Biomarkers (3 papers), HER2/EGFR in Cancer Research (3 papers), Cancer Genomics and Diagnostics (2 papers), Advanced Proteomics Techniques and Applications (2 papers) and BRCA gene mutations in cancer (2 papers). The work is most often cited by research in Cancer Research (157 citations), Oncology (217 citations), Molecular Biology (257 citations), Pulmonary and Respiratory Medicine (74 citations) and Genetics (67 citations). Mark Opdam has collaborated with scholars based in Netherlands, Belgium and Germany. Frequent co-authors include Sabine C. Linn, Karin Beelen, P. J. van Diest, Jelle Wesseling, Joyce Sanders, Andrew Vincent, Tesa Severson, Vincent van der Noort, Michael Hauptmann and Rutger H.T. Koornstra. Their work appears in journals such as Annals of Oncology, Breast Cancer Research, European Journal of Cancer, Cancer Research and Breast Cancer Research and Treatment.
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.