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
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- Axon Guidance and Neuronal Signaling 2
- Co-authors
- Michel Bouvier (5 shared papers)Arthur Christopoulos (1 shared paper)Emma T. van der Westhuizen (2 shared papers)Martin Audet (2 shared papers)Jonas F. Dorn (1 shared paper)Jeremy E. Purvis (6 shared papers)Yannick Brüggemann (3 shared papers)Philippe I. H. Bastiaens (3 shared papers)
- Journals
- Science Signaling (2 papers)Nature Communications (2 papers)Cell Systems (2 papers)Proceedings of the National Academy of Sciences (2 papers)FEBS Letters (1 paper)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Wayne Stallaert
14 papers receiving 476 citations
Peers
Comparison fields: 5 of 77
- Cellular and Molecular Neuroscience 184
- Molecular Biology 367
- Biophysics 25
- Cell Biology 65
- 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 | 81 | |
| 2 | 2011 | 62 | |
| 3 | 2017 | 55 | |
| 4 | 2017 | 53 | |
| 5 | 2018 | 41 | |
| 6 | 2018 | 36 | |
| 7 | 2022 | 36 | |
| 8 | 2021 | 28 | |
| 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, Cellular and Molecular Neuroscience, Oncology, Biophysics and Cell Biology, having authored 16 papers that have together received 481 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), Advanced Fluorescence Microscopy Techniques (2 papers), Cancer Cells and Metastasis (2 papers), Microtubule and mitosis dynamics (2 papers), Cancer-related Molecular Pathways (2 papers) and Axon Guidance and Neuronal Signaling (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (184 citations), Molecular Biology (367 citations), Biophysics (25 citations), Cell Biology (65 citations) and Physiology (14 citations). Wayne Stallaert has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Michel Bouvier, Arthur Christopoulos, Emma T. van der Westhuizen, Martin Audet, Jonas F. Dorn, Jeremy E. Purvis, Yannick Brüggemann, Philippe I. H. Bastiaens, Katarzyna M. Kedziora and Christian Le Gouill. Their work appears in journals such as Science Signaling, Nature Communications, Cell Systems, Proceedings of the National Academy of Sciences and FEBS Letters.
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.