Wayne Stallaert

767 total citations
16 papers, 481 citations indexed

About

Wayne Stallaert is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Oncology. According to data from OpenAlex, Wayne Stallaert has authored 16 papers receiving a total of 481 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 5 papers in Cellular and Molecular Neuroscience and 5 papers in Oncology. Recurrent topics in Wayne Stallaert's work include Receptor Mechanisms and Signaling (5 papers), Single-cell and spatial transcriptomics (4 papers) and Cell Image Analysis Techniques (4 papers). Wayne Stallaert is often cited by papers focused on Receptor Mechanisms and Signaling (5 papers), Single-cell and spatial transcriptomics (4 papers) and Cell Image Analysis Techniques (4 papers). Wayne Stallaert collaborates with scholars based in United States, Canada and Germany. Wayne Stallaert's co-authors include Michel Bouvier, Martin Audet, Emma T. van der Westhuizen, Arthur Christopoulos, Jonas F. Dorn, Jeremy E. Purvis, Philippe I. H. Bastiaens, Katarzyna M. Kedziora, Yannick Brüggemann and Christian Le Gouill and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and PLoS ONE.

In The Last Decade

Wayne Stallaert

14 papers receiving 476 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Wayne Stallaert United States	11	367	184	65	62	45	16	481
Darlaine Pétrin Canada	15	432 1.2×	218 1.2×	53 0.8×	25 0.4×	55 1.2×	30	586
Yuki Ono Japan	8	544 1.5×	238 1.3×	44 0.7×	45 0.7×	68 1.5×	15	682
Madeleine Héroux Canada	10	467 1.3×	271 1.5×	42 0.6×	32 0.5×	47 1.0×	11	577
Lauren K. Rochelle United States	12	332 0.9×	155 0.8×	54 0.8×	74 1.2×	20 0.4×	16	484
Shu Z. Wiley United States	8	344 0.9×	99 0.5×	21 0.3×	79 1.3×	41 0.9×	10	454
Tivadar Orban United States	16	552 1.5×	256 1.4×	47 0.7×	29 0.5×	68 1.5×	28	704
Stephen W. Young United States	11	297 0.8×	107 0.6×	33 0.5×	60 1.0×	33 0.7×	27	486
Kuang-Yui Michael Chen United States	11	396 1.1×	125 0.7×	19 0.3×	50 0.8×	70 1.6×	12	531
Konstantin E. Komolov Russia	13	506 1.4×	313 1.7×	65 1.0×	23 0.4×	55 1.2×	19	591
Keng Lin China	5	390 1.1×	146 0.8×	87 1.3×	61 1.0×	14 0.3×	9	524

Countries citing papers authored by Wayne Stallaert

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Wayne Stallaert

This figure shows the co-authorship network connecting the top 25 collaborators of Wayne Stallaert. A scholar is included among the top collaborators of Wayne Stallaert based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Wayne Stallaert. Wayne Stallaert is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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16 of 16 papers shown

Ranek, Jolene S., Wayne Stallaert, J. Justin Milner, et al.. (2024). DELVE: feature selection for preserving biological trajectories in single-cell data. Nature Communications. 15(1). 2765–2765. 7 indexed citations

Ranek, Jolene S., Katarzyna M. Kedziora, Wayne Stallaert, et al.. (2024). Cell cycle plasticity underlies fractional resistance to palbociclib in ER+/HER2− breast tumor cells. Proceedings of the National Academy of Sciences. 121(7). e2309261121–e2309261121. 9 indexed citations

Nasrazadani, Azadeh, Julia Foldi, Jennifer M. Atkinson, et al.. (2024). Spatial molecular profiling of mixed invasive ductal and lobular breast cancers reveals heterogeneity in intrinsic molecular subtypes, oncogenic signatures, and mutations. Proceedings of the National Academy of Sciences. 121(31). e2322068121–e2322068121. 7 indexed citations

Kedziora, Katarzyna M. & Wayne Stallaert. (2024). Cell Cycle Mapping Using Multiplexed Immunofluorescence. Methods in molecular biology. 2740. 243–262.

Stallaert, Wayne, et al.. (2024). Spherical Manifolds Capture Drug-Induced Changes in Tumor Cell Cycle Behavior. PubMed. 30. 473–487.

Stallaert, Wayne, et al.. (2022). The molecular architecture of cell cycle arrest. Molecular Systems Biology. 18(9). e11087–e11087. 36 indexed citations

Stallaert, Wayne, et al.. (2021). The structure of the human cell cycle. Cell Systems. 13(3). 230–240.e3. 28 indexed citations

Brüggemann, Yannick, et al.. (2021). Growth factor–dependent ErbB vesicular dynamics couple receptor signaling to spatially and functionally distinct Erk pools. Science Signaling. 14(683). 16 indexed citations

Stallaert, Wayne, Katarzyna M. Kedziora, Hui Chao, & Jeremy E. Purvis. (2019). Bistable switches as integrators and actuators during cell cycle progression. FEBS Letters. 593(20). 2805–2816. 22 indexed citations

10.

Stanoev, Angel, Klaus C. Schuermann, Hernán E. Grecco, et al.. (2018). Interdependence between EGFR and Phosphatases Spatially Established by Vesicular Dynamics Generates a Growth Factor Sensing and Responding Network. Cell Systems. 7(3). 295–309.e11. 36 indexed citations

11.

Stallaert, Wayne, et al.. (2018). Contact inhibitory Eph signaling suppresses EGF-promoted cell migration by decoupling EGFR activity from vesicular recycling. Science Signaling. 11(541). 41 indexed citations

12.

Stallaert, Wayne, Emma T. van der Westhuizen, Bianca Plouffe, et al.. (2017). Purinergic Receptor Transactivation by the β2-Adrenergic Receptor Increases Intracellular Ca2+ in Nonexcitable Cells. Molecular Pharmacology. 91(5). 533–544. 55 indexed citations

13.

Picard, Louis-Philippe, Angela D. Wilkins, Christian Le Gouill, et al.. (2017). Evolutionary action and structural basis of the allosteric switch controlling β2AR functional selectivity. Nature Communications. 8(1). 2169–2169. 53 indexed citations

14.

Stallaert, Wayne, et al.. (2014). Ligand bias prevents class equality among beta-blockers. Current Opinion in Pharmacology. 16. 50–57. 28 indexed citations

15.

Stallaert, Wayne, Jonas F. Dorn, Emma T. van der Westhuizen, Martin Audet, & Michel Bouvier. (2012). Impedance Responses Reveal β2-Adrenergic Receptor Signaling Pluridimensionality and Allow Classification of Ligands with Distinct Signaling Profiles. PLoS ONE. 7(1). e29420–e29420. 81 indexed citations

16.

Stallaert, Wayne, Arthur Christopoulos, & Michel Bouvier. (2011). Ligand functional selectivity and quantitative pharmacology at G protein-coupled receptors. Expert Opinion on Drug Discovery. 6(8). 811–825. 62 indexed citations

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.

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