Stan J. J. Brouns
- Endocrinology top 0.2%
- Aging top 0.5%
- Molecular Biology top 0.2%
- CRISPR and Genetic Engineering 55
- RNA and protein synthesis mechanisms 31
- Genomics and Phylogenetic Studies 11
- Ecology top 0.5%
- Bacteriophages and microbial interactions 35
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- Insect symbiosis and bacterial influences 19
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- Evolution and Genetic Dynamics 16
- Bacterial Genetics and Biotechnology 15
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- Enzyme Structure and Function 9
- Co-authors
- John van der OostEdze R. WestraMatthijs M. JoreEugene V. KooninKira S. MakarovaMagnus LundgrenAmbrosius P. SnijdersMark J. Dickman
- Partner nations
- NetherlandsUnited StatesUnited Kingdom
In The Last Decade
Stan J. J. Brouns
100 papers receiving 12.0k citations
Hit Papers
Peers
Comparison fields: 5 of 163
- Business and International Management 898
- Endocrinology 1.1k
- Aging 355
- Molecular Biology 10.4k
- Ecology 3.3k
Countries citing papers authored by Stan J. J. Brouns
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
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
The 25 scholars most cited alongside Stan J. J. Brouns, 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 | 7 | |
| 2 | 2025 | 2 | |
| 3 | 2025 | 2 | |
| 4 | 2023 | 13 | |
| 5 | 2022 | 5 | |
| 6 | 2022 | 53 | |
| 7 | Mechanisms and clinical importance of bacteriophage resistancebreakdown → | 2021 | 182 |
| 8 | 2021 | 19 | |
| 9 | 2021 | 18 | |
| 10 | 2021 | 34 | |
| 11 | 2021 | 17 | |
| 12 | 2021 | 7 | |
| 13 | 2020 | 33 | |
| 14 | 2020 | 4 | |
| 15 | 2020 | 19 | |
| 16 | 2019 | 20 | |
| 17 | 2014 | 201 | |
| 18 | DNA-guided DNA interference by a prokaryotic Argonautebreakdown → | 2014 | 359 |
| 19 | 2011 | 142 | |
| 20 | 2006 | 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), RNA and protein synthesis mechanisms (31 papers), Insect symbiosis and bacterial influences (19 papers), Evolution and Genetic Dynamics (16 papers), Bacterial Genetics and Biotechnology (15 papers), Genomics and Phylogenetic Studies (11 papers) and Enzyme Structure and Function (9 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.