Arnout Schepers
Impact in
- Oncology top 2%
- Cancer Cells and Metastasis
- Cancer Research top 5%
- Cancer Genomics and Diagnostics
Papers in
-
- Advanced biosensing and bioanalysis techniques 4
- CRISPR and Genetic Engineering 3
- Single-cell and spatial transcriptomics 2
- Oncology 6
- Cancer Cells and Metastasis 5
- Co-authors
- Hans Clevers (6 shared papers)Johan H. van Es (3 shared papers)Marc van de Wetering (3 shared papers)Hugo J.G. Snippert (3 shared papers)Maaike van den Born (2 shared papers)Daniel E. Stange (2 shared papers)Sangeeta N. Bhatia (5 shared papers)Benjamin D. Simons (1 shared paper)
- Journals
- The EMBO Journal (2 papers)Carcinogenesis (1 paper)Cell Reports (1 paper)Nature Protocols (1 paper)EMBO Reports (1 paper)
- Partner nations
- NetherlandsUnited StatesAustralia
In The Last Decade
Arnout Schepers
15 papers receiving 2.3k citations
Arnout Schepers's Hit Papers
Peers
Comparison fields: 5 of 101
- Oncology 1.1k
- Cancer Research 392
- Aging 40
- Molecular Biology 1.3k
- Hepatology 108
Countries citing papers authored by Arnout Schepers
This map shows the geographic impact of Arnout Schepers'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 Arnout Schepers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arnout Schepers more than expected).
Fields of papers citing papers by Arnout Schepers
This network shows the impact of papers produced by Arnout Schepers. 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 Arnout Schepers. The network helps show where Arnout Schepers may publish in the future.
Co-authors
The 25 scholars most cited alongside Arnout Schepers, 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 | Lineage Tracing Reveals Lgr5 + Stem Cell Activity in Mouse Intestinal Adenomas Hit paper breakdown → | 2012 | 828 |
| 2 | The Lgr5 intestinal stem cell signature: robust expression of proposed quiescent ‘+4’ cell markers Hit paper breakdown → | 2012 | 567 |
| 3 | 2013 | 179 | |
| 4 | 2011 | 165 | |
| 5 | 2016 | 161 | |
| 6 | 2016 | 139 | |
| 7 | 2021 | 129 | |
| 8 | 2019 | 85 | |
| 9 | 2011 | 36 | |
| 10 | 2016 | 29 | |
| 11 | 2013 | 27 | |
| 12 | 2022 | 12 | |
| 13 | 2021 | 10 | |
| 14 | 2021 | 6 | |
| 15 | 2021 | 2 |
About Arnout Schepers
Arnout Schepers is a scholar working on Molecular Biology, Oncology, Physiology, Cancer Research and Pathology and Forensic Medicine, having authored 15 papers that have together received 2.4k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (5 papers), Advanced biosensing and bioanalysis techniques (4 papers), Cancer Genomics and Diagnostics (3 papers), Telomeres, Telomerase, and Senescence (3 papers), CRISPR and Genetic Engineering (3 papers), Single-cell and spatial transcriptomics (2 papers), Photochromic and Fluorescence Chemistry (2 papers) and Genetic factors in colorectal cancer (2 papers). The work is most often cited by research in Oncology (1.1k citations), Cancer Research (392 citations), Aging (40 citations), Molecular Biology (1.3k citations) and Hepatology (108 citations). Arnout Schepers has collaborated with scholars based in Netherlands, United States and Australia. Frequent co-authors include Hans Clevers, Johan H. van Es, Marc van de Wetering, Hugo J.G. Snippert, Maaike van den Born, Daniel E. Stange, Sangeeta N. Bhatia, Benjamin D. Simons, Robert G. Vries and Javier Muñoz. Their work appears in journals such as The EMBO Journal, Carcinogenesis, Cell Reports, Nature Protocols and EMBO Reports.
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.