Veerle Janssens
- Cell Biology top 0.5%
- Microtubule and mitosis dynamics 6
- Molecular Biology top 1%
- Protein Kinase Regulation and GTPase Signaling 26
- Ubiquitin and proteasome pathways 20
- Protein Tyrosine Phosphatases 15
- PI3K/AKT/mTOR signaling in cancer 13
- RNA modifications and cancer 8
- Aging top 2%
- Cancer Research top 2%
- Oncology top 2%
- Peptidase Inhibition and Analysis 6
- Cancer-related Molecular Pathways 6
- Co-authors
- Jozef GorisJ. GorisChristine Van HoofSari LonginDorien HaesenWard SentsElitsa IvanovaEtienne Waelkens
- Cited by
- Cell BiologyMolecular BiologyAging
- Journals
- Proceedings of the National Academy of Sciences (3 papers)Journal of Biological Chemistry (5 papers)Nature Communications (2 papers)
- Partner nations
- BelgiumUnited StatesUnited Kingdom
In The Last Decade
Veerle Janssens
89 papers receiving 6.8k citations
Hit Papers
Peers
Comparison fields: 5 of 134
- Cell Biology 1.3k
- Molecular Biology 5.2k
- Aging 98
- Cancer Research 649
- Oncology 1.1k
Countries citing papers authored by Veerle Janssens
This map shows the geographic impact of Veerle Janssens'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 Veerle Janssens with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Veerle Janssens more than expected).
Fields of papers citing papers by Veerle Janssens
This network shows the impact of papers produced by Veerle Janssens. 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 Veerle Janssens. The network helps show where Veerle Janssens may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Veerle Janssens, 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 | 1 | |
| 2 | 2024 | 3 | |
| 3 | 2023 | 1 | |
| 4 | 2023 | 6 | |
| 5 | 2023 | 3 | |
| 6 | 2022 | 15 | |
| 7 | 2022 | 2 | |
| 8 | 2021 | 11 | |
| 9 | 2018 | 5 | |
| 10 | 2017 | 31 | |
| 11 | 2017 | 144 | |
| 12 | 2017 | 16 | |
| 13 | 2016 | 86 | |
| 14 | 2013 | 107 | |
| 15 | 2010 | 271 | |
| 16 | 2007 | 78 | |
| 17 | Genomic structure of the mouse PP2A/PR61 genes and their developmental regulation and tissue distribution | 2003 | 1 |
| 18 | Protein phosphatase 2A: a highly regulated family of serine/threonine phosphatases implicated in cell growth and signallingbreakdown → | 2001 | 1437 |
| 19 | 2000 | 17 | |
| 20 | 1998 | 17 |
About Veerle Janssens
Veerle Janssens is a scholar working on Cell Biology, Molecular Biology and Oncology, having authored 90 papers that have together received 6.9k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (26 papers), Ubiquitin and proteasome pathways (20 papers), Protein Tyrosine Phosphatases (15 papers), PI3K/AKT/mTOR signaling in cancer (13 papers), RNA modifications and cancer (8 papers), Microtubule and mitosis dynamics (6 papers), Peptidase Inhibition and Analysis (6 papers) and Cancer-related Molecular Pathways (6 papers). The work is most often cited by research in Cell Biology (1.3k citations), Molecular Biology (5.2k citations) and Aging (98 citations). Veerle Janssens has collaborated with scholars based in Belgium, United States and United Kingdom. Frequent co-authors include Jozef Goris, J. Goris, Christine Van Hoof, Sari Longin, Dorien Haesen, Ward Sents, Elitsa Ivanova, Etienne Waelkens, Caroline Lambrecht and Rita Derua. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.
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.