Marius Nap
Impact in
- Oncology top 5%
- Cancer Cells and Metastasis
- Reproductive Medicine top 5%
- Ovarian cancer diagnosis and treatment
Papers in
- Oncology 24
- Cancer Cells and Metastasis 5
- Co-authors
- Mathie P.G. Leers (20 shared papers)Bert Schutte (5 shared papers)Frans C. S. Ramaekers (3 shared papers)Gert Jan Fleuren (6 shared papers)Bengt Persson (1 shared paper)Gordon Tribbick (1 shared paper)Tomas Bergman (1 shared paper)P Burtin (4 shared papers)
- Journals
- American Journal of Clinical Pathology (8 papers)Tumor Biology (7 papers)Cancer (3 papers)Histopathology (2 papers)Human Pathology (2 papers)
- Partner nations
- NetherlandsSwedenUnited States
In The Last Decade
Marius Nap
66 papers receiving 2.5k citations
Marius Nap's Hit Papers
Peers
Comparison fields: 5 of 130
- Oncology 733
- Reproductive Medicine 194
- Cancer Research 330
- Radiology, Nuclear Medicine and Imaging 418
- Immunology 370
Countries citing papers authored by Marius Nap
This map shows the geographic impact of Marius Nap'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 Marius Nap with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marius Nap more than expected).
Fields of papers citing papers by Marius Nap
This network shows the impact of papers produced by Marius Nap. 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 Marius Nap. The network helps show where Marius Nap may publish in the future.
Co-authors
The 25 scholars most cited alongside Marius Nap, 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 68 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Immunocytochemical detection and mapping of a cytokeratin 18 neo-epitope exposed during early apoptosis Hit paper breakdown → | 1999 | 564 |
| 2 | 2005 | 263 | |
| 3 | 2004 | 231 | |
| 4 | 2004 | 171 | |
| 5 | 1988 | 95 | |
| 6 | 1987 | 90 | |
| 7 | 1987 | 54 | |
| 8 | 1983 | 52 | |
| 9 | 2012 | 51 | |
| 10 | 2000 | 47 | |
| 11 | 1999 | 43 | |
| 12 | 2015 | 41 | |
| 13 | 2014 | 40 | |
| 14 | 2011 | 39 | |
| 15 | 2013 | 38 | |
| 16 | 2003 | 36 | |
| 17 | 2018 | 34 | |
| 18 | 2013 | 33 | |
| 19 | 2000 | 33 | |
| 20 | 1986 | 31 |
About Marius Nap
Marius Nap is a scholar working on Oncology, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Surgery and Artificial Intelligence, having authored 68 papers that have together received 2.6k indexed citations. Recurring topics across this work include AI in cancer detection (11 papers), Ovarian cancer diagnosis and treatment (7 papers), Breast Cancer Treatment Studies (6 papers), Cancer Cells and Metastasis (5 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Esophageal Cancer Research and Treatment (5 papers), Skin and Cellular Biology Research (5 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). The work is most often cited by research in Oncology (733 citations), Reproductive Medicine (194 citations), Cancer Research (330 citations), Radiology, Nuclear Medicine and Imaging (418 citations) and Immunology (370 citations). Marius Nap has collaborated with scholars based in Netherlands, Sweden and United States. Frequent co-authors include Mathie P.G. Leers, Bert Schutte, Frans C. S. Ramaekers, Gert Jan Fleuren, Bengt Persson, Gordon Tribbick, Tomas Bergman, P Burtin, G. J. Fleuren and R. Einarsson. Their work appears in journals such as American Journal of Clinical Pathology, Tumor Biology, Cancer, Histopathology and Human Pathology.
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.