Cameron Wyatt

578 total citations
9 papers, 402 citations indexed

About

Cameron Wyatt is a scholar working on Molecular Biology, Developmental Neuroscience and Cell Biology. According to data from OpenAlex, Cameron Wyatt has authored 9 papers receiving a total of 402 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Developmental Neuroscience and 3 papers in Cell Biology. Recurrent topics in Cameron Wyatt's work include Neurogenesis and neuroplasticity mechanisms (4 papers), Hippo pathway signaling and YAP/TAZ (2 papers) and Zebrafish Biomedical Research Applications (2 papers). Cameron Wyatt is often cited by papers focused on Neurogenesis and neuroplasticity mechanisms (4 papers), Hippo pathway signaling and YAP/TAZ (2 papers) and Zebrafish Biomedical Research Applications (2 papers). Cameron Wyatt collaborates with scholars based in United Kingdom, United States and Belgium. Cameron Wyatt's co-authors include Emre Yaksi, Luis M. Franco, Florence Kermen, Catherina G. Becker, Thomas Becker, Michell M. Reimer, Veronika Kuscha, Rebecca Frank, Inga Sörensen and E. Elizabeth Patton and has published in prestigious journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and Developmental Cell.

In The Last Decade

Cameron Wyatt

9 papers receiving 397 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Cameron Wyatt United Kingdom	8	177	144	140	138	49	9	402
Milka Radmilovich Uruguay	11	103 0.6×	172 1.2×	169 1.2×	87 0.6×	15 0.3×	18	356
Francisco Javier Arenzana Spain	11	256 1.4×	120 0.8×	143 1.0×	273 2.0×	12 0.2×	12	560
Elim Hong United States	12	221 1.2×	103 0.7×	139 1.0×	319 2.3×	10 0.2×	20	572
Asanka Karunaratne Australia	5	96 0.5×	169 1.2×	176 1.3×	304 2.2×	21 0.4×	6	494
Verona Villar‐Cerviño Spain	16	253 1.4×	146 1.0×	379 2.7×	204 1.5×	36 0.7×	24	590
Romain Madelaine France	12	191 1.1×	194 1.3×	126 0.9×	289 2.1×	34 0.7×	15	600
Arun G. Jadhao India	15	107 0.6×	81 0.6×	228 1.6×	86 0.6×	47 1.0×	34	520
Hao‐Gang Xue Japan	14	166 0.9×	60 0.4×	94 0.7×	212 1.5×	17 0.3×	22	539
Arminda Suli United States	12	258 1.5×	89 0.6×	374 2.7×	494 3.6×	67 1.4×	21	820
Kersti Lilleväli Estonia	18	117 0.7×	91 0.6×	160 1.1×	448 3.2×	93 1.9×	32	746

Countries citing papers authored by Cameron Wyatt

Since Specialization

Citations

This map shows the geographic impact of Cameron Wyatt'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 Cameron Wyatt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cameron Wyatt more than expected).

Fields of papers citing papers by Cameron Wyatt

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cameron Wyatt. 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 Cameron Wyatt. The network helps show where Cameron Wyatt may publish in the future.

Co-authorship network of co-authors of Cameron Wyatt

This figure shows the co-authorship network connecting the top 25 collaborators of Cameron Wyatt. A scholar is included among the top collaborators of Cameron Wyatt 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 Cameron Wyatt. Cameron Wyatt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

Trávníčková, Jana, Alessandro Brombin, Zhiqiang Zeng, et al.. (2022). Fate mapping melanoma persister cells through regression and into recurrent disease in adult zebrafish. Disease Models & Mechanisms. 15(9). 6 indexed citations

Zeng, Zhiqiang, Cameron Wyatt, Witold M. Rybski, et al.. (2018). Notochord Injury Assays that Stimulate Transcriptional Responses in Zebrafish Larvae. BIO-PROTOCOL. 8(23). e3100–e3100. 7 indexed citations

Bergboer, Judith G.M., Cameron Wyatt, Christina Austin‐Tse, Emre Yaksi, & Iain A. Drummond. (2018). Assaying sensory ciliopathies using calcium biosensor expression in zebrafish ciliated olfactory neurons. SHILAP Revista de lepidopterología. 7(1). 2–2. 15 indexed citations

Simpson, Daniel J., Zhiqiang Zeng, Angela Salzano, et al.. (2018). Wilms Tumor 1b defines a wound-specific sheath cell subpopulation associated with notochord repair. eLife. 7. 17 indexed citations

Wyatt, Cameron, et al.. (2015). Methods for studying the zebrafish brain: past, present and future. European Journal of Neuroscience. 42(2). 1746–1763. 41 indexed citations

Kermen, Florence, Luis M. Franco, Cameron Wyatt, & Emre Yaksi. (2013). Neural circuits mediating olfactory-driven behavior in fish. Frontiers in Neural Circuits. 7. 62–62. 93 indexed citations

Reimer, Michell M., Jochen Ohnmacht, Rickie Patani, et al.. (2013). Dopamine from the Brain Promotes Spinal Motor Neuron Generation during Development and Adult Regeneration. Developmental Cell. 25(5). 478–491. 97 indexed citations

Wyatt, Cameron, Michell M. Reimer, Melissa Hardy, et al.. (2010). Analysis of theastray/robo2Zebrafish Mutant Reveals that Degenerating Tracts Do Not Provide Strong Guidance Cues for Regenerating Optic Axons. Journal of Neuroscience. 30(41). 13838–13849. 22 indexed citations

Reimer, Michell M., Veronika Kuscha, Cameron Wyatt, et al.. (2009). Sonic Hedgehog Is a Polarized Signal for Motor Neuron Regeneration in Adult Zebrafish. Journal of Neuroscience. 29(48). 15073–15082. 104 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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