Vera van Noort
Impact in
- Microbiology top 1%
- Microbial infections and disease research
- Molecular Biology top 2%
- Bioinformatics and Genomic Networks
- Genomics and Phylogenetic Studies
- RNA and protein synthesis mechanisms
- Gene expression and cancer classification
- Microbial Metabolic Engineering and Bioproduction
Papers in
- Microbiology 10
- Microbial infections and disease research 7
- Ecology 25
- Bacteriophages and microbial interactions 19
- Microbial Community Ecology and Physiology 5
- Co-authors
- Peer BorkMartijn A. HuynenBerend SnelMurat IskarCédric LoodRob LavigneAnne‐Claude GavinPedro Beltrão
- Journals
- Bioinformatics (7 papers)Molecular Systems Biology (5 papers)PLoS Computational Biology (4 papers)PLoS ONE (3 papers)Scientific Reports (2 papers)
- Partner nations
- BelgiumNetherlandsGermany
In The Last Decade
Vera van Noort
75 papers receiving 4.5k citations
Hit Papers
Peers
Comparison fields: 5 of 152
- Microbiology 344
- Molecular Biology 3.3k
- Computational Theory and Mathematics 493
- Ecology 796
- Molecular Medicine 140
Countries citing papers authored by Vera van Noort
This map shows the geographic impact of Vera van Noort'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 Vera van Noort with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vera van Noort more than expected).
Fields of papers citing papers by Vera van Noort
This network shows the impact of papers produced by Vera van Noort. 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 Vera van Noort. The network helps show where Vera van Noort may publish in the future.
Co-authors
The 25 scholars most cited alongside Vera van Noort, 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 | 2024 | 6 | |
| 2 | 2024 | 9 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 0 | |
| 5 | 2021 | 15 | |
| 6 | 2021 | 25 | |
| 7 | 2021 | 29 | |
| 8 | 2021 | 32 | |
| 9 | 2020 | 17 | |
| 10 | 2020 | 38 | |
| 11 | 2019 | 13 | |
| 12 | 2019 | 51 | |
| 13 | 2019 | 38 | |
| 14 | 2015 | 9 | |
| 15 | 2014 | 81 | |
| 16 | 2011 | 208 | |
| 17 | 2009 | 324 | |
| 18 | 2008 | 168 | |
| 19 | 2007 | 4 | |
| 20 | The yeast coexpression network has a small-world, scale-free architecture and can be explained by a simple model | 2004 | 4 |
About Vera van Noort
Vera van Noort is a scholar working on Microbiology, Ecology, Molecular Biology, Molecular Medicine and Aging, having authored 78 papers that have together received 4.5k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (27 papers), Bacteriophages and microbial interactions (19 papers), Bioinformatics and Genomic Networks (12 papers), RNA and protein synthesis mechanisms (11 papers), Computational Drug Discovery Methods (8 papers), Microbial infections and disease research (7 papers), Protein Structure and Dynamics (5 papers) and Microbial Community Ecology and Physiology (5 papers). The work is most often cited by research in Microbiology (344 citations), Molecular Biology (3.3k citations), Computational Theory and Mathematics (493 citations), Ecology (796 citations) and Molecular Medicine (140 citations). Vera van Noort has collaborated with scholars based in Belgium, Netherlands and Germany. Frequent co-authors include Peer Bork, Martijn A. Huynen, Berend Snel, Murat Iskar, Cédric Lood, Rob Lavigne, Anne‐Claude Gavin, Pedro Beltrão, Georg Zeller and Nevan J. Krogan. Their work appears in journals such as Bioinformatics, Molecular Systems Biology, PLoS Computational Biology, PLoS ONE and Scientific Reports.
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.