Sebastian Nijman
- Cancer Research top 1%
- Cancer Genomics and Diagnostics 5
- Molecular Biology top 1%
- CRISPR and Genetic Engineering 9
- Ubiquitin and proteasome pathways 8
- DNA Repair Mechanisms 5
- Epigenetics and DNA Methylation 5
- Histone Deacetylase Inhibitors Research 4
- PI3K/AKT/mTOR signaling in cancer 3
- Oncology top 1%
- Cancer-related Molecular Pathways 4
- Hepatology top 2%
- Cell Biology top 1%
- Co-authors
- Thijn R. BrummelkampRené BernardsAnnette M.G. DiracFried ZwartkruisJohannes L. BosAlfred WittinghoferRobbert H. CoolMark H. G. Verheijen
- Partner nations
- AustriaUnited KingdomNetherlands
In The Last Decade
Sebastian Nijman
40 papers receiving 7.2k citations
Hit Papers
Peers
Comparison fields: 5 of 125
- Cancer Research 1.4k
- Molecular Biology 5.7k
- Oncology 1.7k
- Hepatology 429
- Cell Biology 775
Countries citing papers authored by Sebastian Nijman
This map shows the geographic impact of Sebastian Nijman'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 Sebastian Nijman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sebastian Nijman more than expected).
Fields of papers citing papers by Sebastian Nijman
This network shows the impact of papers produced by Sebastian Nijman. 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 Sebastian Nijman. The network helps show where Sebastian Nijman may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sebastian Nijman, 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 | 2021 | 4 | |
| 2 | 2020 | 19 | |
| 3 | 2017 | 1 | |
| 4 | 2017 | 33 | |
| 5 | 2016 | 35 | |
| 6 | 2016 | 30 | |
| 7 | 2016 | 33 | |
| 8 | 2015 | 57 | |
| 9 | 2014 | 5 | |
| 10 | 2014 | 37 | |
| 11 | 2013 | 17 | |
| 12 | 2011 | 32 | |
| 13 | 2011 | 33 | |
| 14 | 2011 | 173 | |
| 15 | Integrative Transcriptome Analysis Reveals Common Molecular Subclasses of Human Hepatocellular Carcinomabreakdown → | 2009 | 872 |
| 16 | 2006 | 466 | |
| 17 | 2006 | 24 | |
| 18 | 2005 | 458 | |
| 19 | A Genomic and Functional Inventory of Deubiquitinating Enzymesbreakdown → | 2005 | 1514 |
| 20 | 2005 | 7 |
About Sebastian Nijman
Sebastian Nijman is a scholar working on Cancer Research, Molecular Biology and Biophysics, having authored 40 papers that have together received 7.3k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (9 papers), Ubiquitin and proteasome pathways (8 papers), DNA Repair Mechanisms (5 papers), Cancer Genomics and Diagnostics (5 papers), Epigenetics and DNA Methylation (5 papers), Histone Deacetylase Inhibitors Research (4 papers), Cancer-related Molecular Pathways (4 papers) and PI3K/AKT/mTOR signaling in cancer (3 papers). The work is most often cited by research in Cancer Research (1.4k citations), Molecular Biology (5.7k citations) and Oncology (1.7k citations). Sebastian Nijman has collaborated with scholars based in Austria, United Kingdom and Netherlands. Frequent co-authors include Thijn R. Brummelkamp, René Bernards, Annette M.G. Dirac, Fried Zwartkruis, Johannes L. Bos, Alfred Wittinghofer, Robbert H. Cool, Mark H. G. Verheijen, Johan de Rooij and Titia K. Sixma. Their work appears in journals such as Nature, Science and Cell.
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.