Sarah McFarlane

2.4k citations
78 papers · 2.0k · h-index 24

Impact in

Papers in

Sarah McFarlane

76 papers receiving 1.9k citations

Peers

Sarah McFarlane
Comparison fields: 5 of 97
  • Developmental Neuroscience 279
  • Cellular and Molecular Neuroscience 1.0k
  • Cell Biology 588
  • Endocrine and Autonomic Systems 103
  • Molecular Biology 1.1k
Replace Matthias Gesemann with:
Matthias Gesemann Switzerland
Till Marquardt Germany
José M. Frade Spain
G. Giacomo Consalez Italy
Solon Thanos Germany
Camilla Eliasson Sweden
Barbara J. Fredette United States
Artur Kania Canada
Lynda Erskine United Kingdom
Linda K. Barthel United States
Sarah McFarlane relative to Matthias Gesemann Switzerland Matthias Gesemann's profile →
Citations per field
00.5×2.8×
Matthias Gesemann · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Sarah McFarlane, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sarah McFarlane Line = papers co-authored together Sarah McFarlane links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995153
2 1996129
3 1997124
4 2014123
5 200498
6 200384
7 199866
8 199863
9 200261
10 200556
11 201044
12 200742
13 200538
14 200736
15 200335
16 200035
17 200034
18 200733
19 200928
20 201727

About Sarah McFarlane

Sarah McFarlane is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Cell Biology, Endocrine and Autonomic Systems and Developmental Neuroscience, having authored 78 papers that have together received 2.0k indexed citations. Recurring topics across this work include Axon Guidance and Neuronal Signaling (35 papers), Retinal Development and Disorders (23 papers), Zebrafish Biomedical Research Applications (15 papers), Circadian rhythm and melatonin (13 papers), Neurobiology and Insect Physiology Research (10 papers), Hippo pathway signaling and YAP/TAZ (9 papers), Neurogenesis and neuroplasticity mechanisms (8 papers) and Developmental Biology and Gene Regulation (8 papers). The work is most often cited by research in Developmental Neuroscience (279 citations), Cellular and Molecular Neuroscience (1.0k citations), Cell Biology (588 citations), Endocrine and Autonomic Systems (103 citations) and Molecular Biology (1.1k citations). Sarah McFarlane has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include Christine E. Holt, Carrie L. Hehr, Gabriel E. Bertolesi, Jennifer C. Hocking, Christine A. Webber, Jacqui Morris, Stephen MacGillivray, Karen Atkinson‐Leadbeater, Enrique Amaya and Michael E. Zuber. Their work appears in journals such as Developmental Dynamics, Pigment Cell & Melanoma Research, Journal of Neuroscience, Development and Developmental Biology.

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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