Sanne Moorman

429 total citations
9 papers, 290 citations indexed

About

Sanne Moorman is a scholar working on Developmental Biology, Ecology, Evolution, Behavior and Systematics and Ecology. According to data from OpenAlex, Sanne Moorman has authored 9 papers receiving a total of 290 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Developmental Biology, 6 papers in Ecology, Evolution, Behavior and Systematics and 5 papers in Ecology. Recurrent topics in Sanne Moorman's work include Animal Vocal Communication and Behavior (7 papers), Animal Behavior and Reproduction (6 papers) and Marine animal studies overview (5 papers). Sanne Moorman is often cited by papers focused on Animal Vocal Communication and Behavior (7 papers), Animal Behavior and Reproduction (6 papers) and Marine animal studies overview (5 papers). Sanne Moorman collaborates with scholars based in Netherlands, United States and United Kingdom. Sanne Moorman's co-authors include Johan J. Bolhuis, Matthijs A. Zandbergen, Sharon M. H. Gobes, Claudio V. Mello, Alister U. Nicol, Amber Kerkhofs, Mathijs Raemaekers, Martin J. Lankheet, Zoe Kourtzi and Richard van Wezel and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and Current Biology.

In The Last Decade

Sanne Moorman

9 papers receiving 288 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sanne Moorman Netherlands 8 153 123 103 82 41 9 290
Yayoi Teramoto United Kingdom 6 143 0.9× 67 0.5× 49 0.5× 84 1.0× 72 1.8× 7 285
Pavel A. Puzerey United States 8 137 0.9× 126 1.0× 79 0.8× 89 1.1× 39 1.0× 9 317
Michael S. Osmanski United States 10 198 1.3× 82 0.7× 73 0.7× 269 3.3× 69 1.7× 15 429
Melissa L. Caras United States 11 128 0.8× 112 0.9× 106 1.0× 218 2.7× 39 1.0× 16 426
Andreas R. Pfenning United States 4 129 0.8× 111 0.9× 66 0.6× 43 0.5× 72 1.8× 4 265
Erin Hisey United States 6 141 0.9× 125 1.0× 87 0.8× 43 0.5× 27 0.7× 9 277
Morgan Wirthlin United States 12 165 1.1× 167 1.4× 119 1.2× 28 0.3× 34 0.8× 18 379
Scott Husband United States 7 173 1.1× 166 1.3× 46 0.4× 87 1.1× 164 4.0× 14 322
Mingxue Zuo China 13 204 1.3× 214 1.7× 167 1.6× 25 0.3× 45 1.1× 33 390
Richard L. Hyson United States 13 248 1.6× 170 1.4× 175 1.7× 88 1.1× 17 0.4× 18 381

Countries citing papers authored by Sanne Moorman

Since Specialization
Citations

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

Fields of papers citing papers by Sanne Moorman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sanne Moorman

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

All Works

9 of 9 papers shown
1.
Bolhuis, Johan J., et al.. (2021). Vocal learning in songbirds: the role of syllable order in song recognition. Philosophical Transactions of the Royal Society B Biological Sciences. 376(1836). 20200248–20200248. 7 indexed citations
2.
Moorman, Sanne, et al.. (2021). Plasticity of stereotyped birdsong driven by chronic manipulation of cortical-basal ganglia activity. Current Biology. 31(12). 2619–2632.e4. 8 indexed citations
3.
Moorman, Sanne, et al.. (2015). Learning-related brain hemispheric dominance in sleeping songbirds. Scientific Reports. 5(1). 9041–9041. 20 indexed citations
4.
Bolhuis, Johan J. & Sanne Moorman. (2014). Birdsong memory and the brain: In search of the template. Neuroscience & Biobehavioral Reviews. 50. 41–55. 51 indexed citations
5.
Moorman, Sanne & Alister U. Nicol. (2014). Memory-related brain lateralisation in birds and humans. Neuroscience & Biobehavioral Reviews. 50. 86–102. 23 indexed citations
6.
Moorman, Sanne, et al.. (2012). Human-like brain hemispheric dominance in birdsong learning. Proceedings of the National Academy of Sciences. 109(31). 12782–12787. 70 indexed citations
7.
Moorman, Sanne, Claudio V. Mello, & Johan J. Bolhuis. (2011). From songs to synapses: Molecular mechanisms of birdsong memory. BioEssays. 33(5). 377–385. 43 indexed citations
8.
Johnstone, Andrea L., Ali Ertürk, Ying Hu, et al.. (2010). A Chemical Screen Identifies Novel Compounds That Overcome Glial-Mediated Inhibition of Neuronal Regeneration. Journal of Neuroscience. 30(13). 4693–4706. 44 indexed citations
9.
Raemaekers, Mathijs, Martin J. Lankheet, Sanne Moorman, Zoe Kourtzi, & Richard van Wezel. (2009). Directional anisotropy of motion responses in retinotopic cortex. Human Brain Mapping. 30(12). 3970–3980. 24 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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