Stan J. J. Brouns

22.4k citations
105 papers · 12.1k indexed · 10 hit papers · h-index 45
Topics
CRISPR and Genetic Engineering (55 papers)Bacteriophages and microbial interactions (35 papers)RNA and protein synthesis mechanisms (31 papers)

In The Last Decade

Stan J. J. Brouns

100 papers receiving 12.0k citations

Hit Papers

Small CRISPR RNAs Guide Antiviral Defense in Prokaryotes20082026201420202008201120112011201250010001.5k

Peers

Stan J. J. Brouns
Comparison fields: 5 of 163
  • Molecular Biology 10.4k
  • Ecology 3.3k
  • Genetics 2.6k
  • Insect Science 1.5k
  • Plant Science 1.2k
Replace Edze R. Westra with:
Edze R. Westra United Kingdom
Christophe Fremaux France
Philippe Horvath United States
Dennis Romero United States
Konstantin Severinov United States
David Bikard France
Francisco J. M. Mojica Spain
Peter C. Fineran New Zealand
Blake Wiedenheft United States
Cynthia M. Sharma Germany
Stan J. J. Brouns relative to Edze R. Westra United Kingdom Edze R. Westra's profile →
Citations per field
00.5×1.5×
Edze R. Westra · 1×
Citations per year

Countries citing papers authored by Stan J. J. Brouns

Since Specialization
Citations

This map shows the geographic impact of Stan J. J. Brouns'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 Stan J. J. Brouns with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stan J. J. Brouns more than expected).

Fields of papers citing papers by Stan J. J. Brouns

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stan J. J. Brouns. 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 Stan J. J. Brouns. The network helps show where Stan J. J. Brouns may publish in the future.

Co-authorship network of co-authors of Stan J. J. Brouns

This figure shows the co-authorship network connecting the top 25 collaborators of Stan J. J. Brouns. A scholar is included among the top collaborators of Stan J. J. Brouns based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Stan J. J. Brouns. Stan J. J. Brouns is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 7
2 2
3 2
4 13
5 5
6 53
7
Mechanisms and clinical importance of bacteriophage resistancebreakdown →
182
8 19
9 18
10 34
11 17
12 7
13 33
14 4
15 19
16 20
17 201
18
DNA-guided DNA interference by a prokaryotic Argonautebreakdown →
359
19 142
20 92

About Stan J. J. Brouns

Stan J. J. Brouns is a scholar working on Insect Science, Ecology and Molecular Biology, having authored 105 papers that have together received 12.1k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (55 papers), Bacteriophages and microbial interactions (35 papers) and RNA and protein synthesis mechanisms (31 papers). The work is most often cited by research in Business and International Management (898 citations), Endocrinology (1.1k citations) and Aging (355 citations). Stan J. J. Brouns has collaborated with scholars based in Netherlands, United States and United Kingdom. Frequent co-authors include John van der Oost, Edze R. Westra, Matthijs M. Jore, Eugene V. Koonin, Kira S. Makarova, Magnus Lundgren, Ambrosius P. Snijders, Mark J. Dickman, Daan C. Swarts and Franklin L. Nóbrega. 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.

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