Bas van Steensel
Impact in
- Aging top 0.1%
- Molecular Biology top 0.05%
- Genomics and Chromatin Dynamics
- RNA Research and Splicing
- CRISPR and Genetic Engineering
- Epigenetics and DNA Methylation
- Nuclear Structure and Function
- DNA Repair Mechanisms
Papers in
-
- Genomics and Chromatin Dynamics 100
- RNA Research and Splicing 55
- RNA and protein synthesis mechanisms 25
- Nuclear Structure and Function 22
- Epigenetics and DNA Methylation 20
- CRISPR and Genetic Engineering 18
- DNA Repair Mechanisms 11
- Aging 2
- Co-authors
- Titia de LangeAgata SmogorzewskaMario AmendolaEva K. BrinkmanElzo de WitTao ChenSteven HenikoffLudo Pagie
- Journals
- Cell (12 papers)Nucleic Acids Research (7 papers)Nature Genetics (7 papers)Genome Research (7 papers)Molecular Cell (6 papers)
- Partner nations
- NetherlandsUnited StatesUnited Kingdom
In The Last Decade
Bas van Steensel
128 papers receiving 21.9k citations
Hit Papers
Peers
Comparison fields: 5 of 150
- Aging 991
- Molecular Biology 19.4k
- Physiology 3.5k
- Plant Science 4.2k
- Genetics 2.7k
Countries citing papers authored by Bas van Steensel
This map shows the geographic impact of Bas van Steensel'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 Bas van Steensel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bas van Steensel more than expected).
Fields of papers citing papers by Bas van Steensel
This network shows the impact of papers produced by Bas van Steensel. 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 Bas van Steensel. The network helps show where Bas van Steensel may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Bas van Steensel, 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 | 2025 | 3 | |
| 2 | 2025 | 2 | |
| 3 | 2024 | 27 | |
| 4 | 2024 | 4 | |
| 5 | 2023 | 42 | |
| 6 | 2022 | 12 | |
| 7 | 2022 | 41 | |
| 8 | 2021 | 11 | |
| 9 | 2020 | 77 | |
| 10 | 2017 | 65 | |
| 11 | 2015 | 332 | |
| 12 | Systematic Protein Location Mapping Reveals Five Principal Chromatin Types in Drosophila Cells Hit paper breakdown → | 2010 | 693 |
| 13 | 2009 | 84 | |
| 14 | 2009 | 46 | |
| 15 | 2008 | 48 | |
| 16 | 2006 | 152 | |
| 17 | Nuclear organization of active and inactive chromatin domains uncovered by chromosome conformation capture–on-chip (4C) Hit paper breakdown → | 2006 | 1020 |
| 18 | Genomewide analysis of Drosophila GAGA factor target genes reveals context-dependent DNA binding. | 2003 | 7 |
| 19 | 2003 | 334 | |
| 20 | 1991 | 20 |
About Bas van Steensel
Bas van Steensel is a scholar working on Molecular Biology, Aging, Behavioral Neuroscience, Plant Science and Genetics, having authored 131 papers that have together received 22.1k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (100 papers), RNA Research and Splicing (55 papers), RNA and protein synthesis mechanisms (25 papers), Nuclear Structure and Function (22 papers), Chromosomal and Genetic Variations (21 papers), Epigenetics and DNA Methylation (20 papers), CRISPR and Genetic Engineering (18 papers) and DNA Repair Mechanisms (11 papers). The work is most often cited by research in Aging (991 citations), Molecular Biology (19.4k citations), Physiology (3.5k citations), Plant Science (4.2k citations) and Genetics (2.7k citations). Bas van Steensel has collaborated with scholars based in Netherlands, United States and United Kingdom. Frequent co-authors include Titia de Lange, Agata Smogorzewska, Mario Amendola, Eva K. Brinkman, Elzo de Wit, Tao Chen, Steven Henikoff, Ludo Pagie, Andrew S. Belmont and Wendy Talhout. Their work appears in journals such as Cell, Nucleic Acids Research, Nature Genetics, Genome Research and Molecular 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.