Henk P.J. Buermans

6.4k citations
32 papers · 2.5k indexed · 2 hit papers · h-index 21

Henk P.J. Buermans

32 papers receiving 2.5k citations

Hit Papers

Next generation sequencing technology: Advances and appli...4522012202620162021100200300400500

Peers

Henk P.J. Buermans
Comparison fields: 5 of 132
  • Cancer Research 789
  • Molecular Biology 1.8k
  • Genetics 310
  • Cardiology and Cardiovascular Medicine 228
  • Immunology and Allergy 60
Replace Masami Hayashi with:
Masami Hayashi Japan
Tetuo Mikami Japan
Agnes Hotz‐Wagenblatt Germany
Lin Miao China
Ian Sudbery United Kingdom
Ralph Stadhouders Netherlands
Rolf H. A. M. Vossen Netherlands
Karen A. Vincent United States
Jacob Giehm Mikkelsen Denmark
Xiao Chen China
Henk P.J. Buermans relative to Masami Hayashi Japan Masami Hayashi's profile →
Citations per field
00.5×4.7×
Masami Hayashi · 1×
Citations per year

Countries citing papers authored by Henk P.J. Buermans

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Henk P.J. Buermans Line = papers co-authored together Henk P.J. Buermans links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20213
2 201812
3 201855
4 201827
5 201814
6 201726
7 20168
8 201589
9 201426
10 201415
11
Next generation sequencing technology: Advances and applicationsbreakdown →
2014452
12 2013176
13
Deep sequencing of RNA from immune cell-derived vesicles uncovers the selective incorporation of small non-coding RNA biotypes with potential regulatory functionsbreakdown →
2012588
14 201220
15 2012108
16 201298
17 2011105
18 201014
19 201085
20 200822

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.

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