Sarah McFarlane

2.2k total citations
76 papers, 1.8k citations indexed

About

Sarah McFarlane is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cell Biology. According to data from OpenAlex, Sarah McFarlane has authored 76 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Cellular and Molecular Neuroscience, 50 papers in Molecular Biology and 40 papers in Cell Biology. Recurrent topics in Sarah McFarlane's work include Axon Guidance and Neuronal Signaling (38 papers), Retinal Development and Disorders (28 papers) and Zebrafish Biomedical Research Applications (19 papers). Sarah McFarlane is often cited by papers focused on Axon Guidance and Neuronal Signaling (38 papers), Retinal Development and Disorders (28 papers) and Zebrafish Biomedical Research Applications (19 papers). Sarah McFarlane collaborates with scholars based in Canada, United States and France. Sarah McFarlane's co-authors include Christine E. Holt, Carrie L. Hehr, Gabriel E. Bertolesi, Jennifer C. Hocking, Christine A. Webber, Karen Atkinson‐Leadbeater, Enrique Amaya, Michael E. Zuber, Barbara Lom and Victor Nurcombe and has published in prestigious journals such as Journal of Biological Chemistry, Neuron and Journal of Neuroscience.

In The Last Decade

Sarah McFarlane

73 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sarah McFarlane Canada 24 1.1k 1.1k 626 294 116 76 1.8k
Matthias Gesemann Switzerland 25 1.4k 1.2× 826 0.8× 673 1.1× 112 0.4× 88 0.8× 49 1.9k
Camilla Eliasson Sweden 15 1.0k 0.9× 669 0.6× 410 0.7× 565 1.9× 66 0.6× 15 2.0k
Mingwan Su Canada 21 917 0.8× 789 0.7× 688 1.1× 288 1.0× 95 0.8× 37 2.3k
Thomas S. Vihtelic United States 22 1.5k 1.3× 389 0.4× 748 1.2× 147 0.5× 59 0.5× 34 1.8k
Ichiro Masai Japan 23 1.9k 1.7× 633 0.6× 854 1.4× 252 0.9× 53 0.5× 50 2.3k
Barbara J. Fredette United States 12 776 0.7× 579 0.5× 361 0.6× 239 0.8× 36 0.3× 12 1.4k
Robert Hindges United Kingdom 24 1.4k 1.2× 1.1k 1.0× 598 1.0× 361 1.2× 176 1.5× 37 2.2k
Lynda Erskine United Kingdom 29 1.8k 1.6× 1.8k 1.7× 719 1.1× 757 2.6× 73 0.6× 50 2.9k
José M. Frade Spain 28 2.0k 1.8× 1.5k 1.4× 400 0.6× 776 2.6× 220 1.9× 60 3.2k
Fanny Mann France 25 1.3k 1.2× 1.9k 1.8× 787 1.3× 594 2.0× 65 0.6× 40 2.5k

Countries citing papers authored by Sarah McFarlane

Since Specialization
Citations

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

Fields of papers citing papers by Sarah McFarlane

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sarah McFarlane

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

All Works

20 of 20 papers shown
1.
Bertolesi, Gabriel E., et al.. (2025). Evolutionary adaptations of TRPA1 thermosensitivity and skin thermoregulation in vertebrates. iScience. 28(9). 113369–113369.
2.
Bertolesi, Gabriel E., et al.. (2023). TRPM8 thermosensation in poikilotherms mediates both skin colour and locomotor performance responses to cold temperature. Communications Biology. 6(1). 127–127. 7 indexed citations
3.
Hehr, Carrie L., et al.. (2022). Semaphorin3f as a cardiomyocyte derived regulator of heart chamber development. Cell Communication and Signaling. 20(1). 126–126. 5 indexed citations
4.
Hehr, Carrie L., et al.. (2022). Spatial regulation of amacrine cell genesis by Semaphorin 3f. Developmental Biology. 491. 66–81. 2 indexed citations
5.
McFarlane, Sarah, et al.. (2021). Endothelial Semaphorin 3fb regulates Vegf pathway-mediated angiogenic sprouting. PLoS Genetics. 17(8). e1009769–e1009769. 8 indexed citations
6.
Bertolesi, Gabriel E., et al.. (2020). The regulation of skin pigmentation in response to environmental light by pineal Type II opsins and skin melanophore melatonin receptors. Journal of Photochemistry and Photobiology B Biology. 212. 112024–112024. 18 indexed citations
7.
Bertolesi, Gabriel E., et al.. (2020). Lhx2/9 and Etv1 Transcription Factors have Complementary roles in Regulating the Expression of Guidance Genes slit1 and sema3a. Neuroscience. 434. 66–82. 5 indexed citations
8.
Tachibana, Nobuhiko, Rajiv Dixit, Yacine Touahri, et al.. (2016). PtenRegulates Retinal Amacrine Cell Number by Modulating Akt, Tgfβ, and Erk Signaling. Journal of Neuroscience. 36(36). 9454–9471. 19 indexed citations
9.
Hocking, Jennifer C., et al.. (2012). Neural activity and branching of embryonic retinal ganglion cell dendrites. Mechanisms of Development. 129(5-8). 125–135. 8 indexed citations
10.
Atkinson‐Leadbeater, Karen & Sarah McFarlane. (2011). Extrinsic factors as multifunctional regulators of retinal ganglion cell morphogenesis. Developmental Neurobiology. 71(12). 1170–1185. 4 indexed citations
11.
Atkinson‐Leadbeater, Karen, et al.. (2010). Dynamic Expression of Axon Guidance Cues Required for Optic Tract Development Is Controlled by Fibroblast Growth Factor Signaling. Journal of Neuroscience. 30(2). 685–693. 44 indexed citations
12.
Webber, Christine A., et al.. (2005). Multiple signaling pathways regulate FGF-2-induced retinal ganglion cell neurite extension and growth cone guidance. Molecular and Cellular Neuroscience. 30(1). 37–47. 37 indexed citations
13.
Webber, Christine A., et al.. (2003). Fibroblast growth factors redirect retinal axons in vitro and in vivo. Developmental Biology. 263(1). 24–34. 35 indexed citations
14.
McFarlane, Sarah, et al.. (2002). Expression of voltage‐dependent potassium channels in the developing visual system of Xenopus laevis. The Journal of Comparative Neurology. 452(4). 381–391. 24 indexed citations
15.
McFarlane, Sarah, et al.. (2002). GABA and development of the Xenopus optic projection. Journal of Neurobiology. 51(4). 272–284. 14 indexed citations
16.
Patel, Anand G. & Sarah McFarlane. (2000). Overexpression of FGF-2 alters cell fate specification in the developing retina of Xenopus laevis. Developmental Biology. 222(1). 170–180. 35 indexed citations
17.
Lom, Barbara, et al.. (1998). Fibroblast growth factor receptor signaling inXenopus retinal axon extension. Journal of Neurobiology. 37(4). 633–641. 63 indexed citations
18.
McFarlane, Sarah & Christine E. Holt. (1997). Growth factors: a role in guiding axons?. Trends in Cell Biology. 7(11). 424–430. 19 indexed citations
19.
McFarlane, Sarah, et al.. (1996). Inhibition of FGF Receptor Activity in Retinal Ganglion Cell Axons Causes Errors in Target Recognition. Neuron. 17(2). 245–254. 129 indexed citations
20.
McFarlane, Sarah, et al.. (1995). FGF signaling and target recognition in the developing xenopus visual system. Neuron. 15(5). 1017–1028. 153 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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