Wayne Stallaert
Impact in
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- Neuropeptides and Animal Physiology
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- Receptor Mechanisms and Signaling
- Protein Kinase Regulation and GTPase Signaling
- Single-cell and spatial transcriptomics
Papers in
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- Receptor Mechanisms and Signaling 5
- Single-cell and spatial transcriptomics 4
- Oncology 5
- Cancer-related Molecular Pathways 2
- Cancer Cells and Metastasis 2
- Co-authors
- Michel Bouvier (5 shared papers)Emma T. van der Westhuizen (2 shared papers)Martin Audet (2 shared papers)Arthur Christopoulos (1 shared paper)Jonas F. Dorn (1 shared paper)Jeremy E. Purvis (6 shared papers)Katarzyna M. Kedziora (5 shared papers)Yannick Brüggemann (3 shared papers)
- Journals
- Nature Communications (2 papers)Cell Systems (2 papers)Proceedings of the National Academy of Sciences (2 papers)Science Signaling (2 papers)Current Opinion in Pharmacology (1 paper)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Wayne Stallaert
14 papers receiving 487 citations
Peers
Comparison fields: 5 of 76
- Cellular and Molecular Neuroscience 183
- Molecular Biology 356
- Cell Biology 63
- Biophysics 22
- Physiology 14
Countries citing papers authored by Wayne Stallaert
This map shows the geographic impact of Wayne Stallaert'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 Wayne Stallaert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wayne Stallaert more than expected).
Fields of papers citing papers by Wayne Stallaert
This network shows the impact of papers produced by Wayne Stallaert. 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 Wayne Stallaert. The network helps show where Wayne Stallaert may publish in the future.
Co-authors
The 25 scholars most cited alongside Wayne Stallaert, 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 | 2012 | 82 | |
| 2 | 2011 | 62 | |
| 3 | 2017 | 58 | |
| 4 | 2017 | 55 | |
| 5 | 2018 | 41 | |
| 6 | 2022 | 37 | |
| 7 | 2018 | 36 | |
| 8 | 2021 | 31 | |
| 9 | 2014 | 28 | |
| 10 | 2019 | 22 | |
| 11 | 2021 | 16 | |
| 12 | 2024 | 9 | |
| 13 | 2024 | 7 | |
| 14 | 2024 | 7 | |
| 15 | 2024 | 0 | |
| 16 | 2024 | 0 |
About Wayne Stallaert
Wayne Stallaert is a scholar working on Molecular Biology, Oncology, Cellular and Molecular Neuroscience, Biophysics and Cell Biology, having authored 16 papers that have together received 491 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (5 papers), Single-cell and spatial transcriptomics (4 papers), Cell Image Analysis Techniques (4 papers), Microtubule and mitosis dynamics (2 papers), Cancer-related Molecular Pathways (2 papers), Axon Guidance and Neuronal Signaling (2 papers), Advanced Fluorescence Microscopy Techniques (2 papers) and Cancer Cells and Metastasis (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (183 citations), Molecular Biology (356 citations), Cell Biology (63 citations), Biophysics (22 citations) and Physiology (14 citations). Wayne Stallaert has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Michel Bouvier, Emma T. van der Westhuizen, Martin Audet, Arthur Christopoulos, Jonas F. Dorn, Jeremy E. Purvis, Katarzyna M. Kedziora, Yannick Brüggemann, Philippe I. H. Bastiaens and Christian Le Gouill. Their work appears in journals such as Nature Communications, Cell Systems, Proceedings of the National Academy of Sciences, Science Signaling and Current Opinion in Pharmacology.
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.