Marius Nap

66 papers receiving 2.5k citations

Marius Nap's Hit Papers

Immunocytochemical detection and mapping of a cytokeratin 18 neo-epitope exposed during early apoptosis 1999 · 562 citations
5620+9+18Years since publication100200300400500

Peers

Marius Nap
Comparison fields: 5 of 127
  • Oncology 536
  • Reproductive Medicine 165
  • Cancer Research 240
  • Family Practice 27
  • Radiology, Nuclear Medicine and Imaging 319
Replace Trivadi S. Ganesan with:
Trivadi S. Ganesan India
K Koretz Germany
A. Schauer Germany
Kristin C. Jensen United States
Brian Rous United Kingdom
Yan Zhou United States
Burkhard Greve Germany
Eric Kaldjian United States
Mara H. Rendi United States
Eric A. Van Marck Belgium
Marius Nap relative to Trivadi S. Ganesan India Trivadi S. Ganesan's profile →
Citations per field
00.5×3.9×
Trivadi S. Ganesan · 1×
Citations per year

Countries citing papers authored by Marius Nap

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Marius Nap Line = papers co-authored together Marius Nap links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

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 →
1999562
2 2005263
3 2004231
4 2004173
5 198896
6 198790
7 198754
8 198352
9 201251
10 200048
11 201542
12 199942
13 201441
14 201139
15 201339
16 200336
17 201834
18 200033
19 201333
20 198631

About Marius Nap

Marius Nap is a scholar working on Oncology, Molecular Biology, Surgery, Radiology, Nuclear Medicine and Imaging 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 (9 papers), Ovarian cancer diagnosis and treatment (7 papers), Breast Cancer Treatment Studies (5 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Skin and Cellular Biology Research (5 papers), Esophageal Cancer Research and Treatment (4 papers), Cancer Cells and Metastasis (3 papers) and HER2/EGFR in Cancer Research (3 papers). The work is most often cited by research in Oncology (536 citations), Reproductive Medicine (165 citations), Cancer Research (240 citations), Family Practice (27 citations) and Radiology, Nuclear Medicine and Imaging (319 citations). Marius Nap has collaborated with scholars based in Netherlands, Germany and United States. Frequent co-authors include Mathie P.G. Leers, Gert Jan Fleuren, Bert Schutte, Frans C. S. Ramaekers, Tomas Bergman, Bengt Persson, Gordon Tribbick, P Burtin, G. J. Fleuren and R. Einarsson. Their work appears in journals such as American Journal of Clinical Pathology, Tumor Biology, Cancer, Gynecologic Oncology and Journal of Pathology Informatics.

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.

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