Henk P.J. Buermans
- Cancer Research top 2%
- MicroRNA in disease regulation 5
- Cancer-related molecular mechanisms research 5
- Molecular Biology top 5%
- RNA modifications and cancer 7
- Congenital heart defects research 4
- Genomics and Phylogenetic Studies 3
- CRISPR and Genetic Engineering 3
- Molecular Biology Techniques and Applications 3
- Circular RNAs in diseases 3
- Genetics top 10%
- Immunology and Allergy top 10%
- Co-authors
- Johan T. den DunnenPeter A.C. ’t HoenMarca H. M. WaubenEsther N. M. Nolte‐‘t HoenMaaike WaasdorpWillem StoorvogelYavuz AriyürekKen Kraaijeveld
- Partner nations
- NetherlandsUnited KingdomUnited States
In The Last Decade
Henk P.J. Buermans
32 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 132
- Cancer Research 789
- Molecular Biology 1.8k
- Genetics 310
- Cardiology and Cardiovascular Medicine 228
- Immunology and Allergy 60
Countries citing papers authored by Henk P.J. Buermans
This map shows the geographic impact of Henk P.J. Buermans'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 Henk P.J. Buermans with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Henk P.J. Buermans more than expected).
Fields of papers citing papers by Henk P.J. Buermans
This network shows the impact of papers produced by Henk P.J. Buermans. 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 Henk P.J. Buermans. The network helps show where Henk P.J. Buermans may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Henk P.J. Buermans, 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 | 3 | |
| 2 | 2018 | 12 | |
| 3 | 2018 | 55 | |
| 4 | 2018 | 27 | |
| 5 | 2018 | 14 | |
| 6 | 2017 | 26 | |
| 7 | 2016 | 8 | |
| 8 | 2015 | 89 | |
| 9 | 2014 | 26 | |
| 10 | 2014 | 15 | |
| 11 | Next generation sequencing technology: Advances and applicationsbreakdown → | 2014 | 452 |
| 12 | 2013 | 176 | |
| 13 | Deep sequencing of RNA from immune cell-derived vesicles uncovers the selective incorporation of small non-coding RNA biotypes with potential regulatory functionsbreakdown → | 2012 | 588 |
| 14 | 2012 | 20 | |
| 15 | 2012 | 108 | |
| 16 | 2012 | 98 | |
| 17 | 2011 | 105 | |
| 18 | 2010 | 14 | |
| 19 | 2010 | 85 | |
| 20 | 2008 | 22 |
About Henk P.J. Buermans
Henk P.J. Buermans is a scholar working on Cancer Research, Molecular Biology and Genetics, having authored 32 papers that have together received 2.5k indexed citations. Recurring topics across this work include RNA modifications and cancer (7 papers), MicroRNA in disease regulation (5 papers), Cancer-related molecular mechanisms research (5 papers), Congenital heart defects research (4 papers), Genomics and Phylogenetic Studies (3 papers), CRISPR and Genetic Engineering (3 papers), Molecular Biology Techniques and Applications (3 papers) and Circular RNAs in diseases (3 papers). The work is most often cited by research in Cancer Research (789 citations), Molecular Biology (1.8k citations) and Genetics (310 citations). Henk P.J. Buermans has collaborated with scholars based in Netherlands, United Kingdom and United States. Frequent co-authors include Johan T. den Dunnen, Peter A.C. ’t Hoen, Marca H. M. Wauben, Esther N. M. Nolte‐‘t Hoen, Maaike Waasdorp, Willem Stoorvogel, Yavuz Ariyürek, Ken Kraaijeveld, Gert‐Jan B. van Ommen and Pieter S. Hiemstra. Their work appears in journals such as Nucleic Acids Research, Nature Biotechnology and Bioinformatics.
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.