Lucy M. Palmer

2.1k total citations
26 papers, 1.3k citations indexed

About

Lucy M. Palmer is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Nature and Landscape Conservation. According to data from OpenAlex, Lucy M. Palmer has authored 26 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Cognitive Neuroscience, 17 papers in Cellular and Molecular Neuroscience and 3 papers in Nature and Landscape Conservation. Recurrent topics in Lucy M. Palmer's work include Neural dynamics and brain function (18 papers), Neuroscience and Neuropharmacology Research (17 papers) and Neuroscience and Neural Engineering (9 papers). Lucy M. Palmer is often cited by papers focused on Neural dynamics and brain function (18 papers), Neuroscience and Neuropharmacology Research (17 papers) and Neuroscience and Neural Engineering (9 papers). Lucy M. Palmer collaborates with scholars based in Australia, United States and Germany. Lucy M. Palmer's co-authors include Greg J. Stuart, Matthew E. Larkum, Masanori Murayama, Sean C. Murphy, Jan M. Schulz, Allen F. Mensinger, Debora Ledergerber, Adam Shai, James E. Reeve and Ole Paulsen and has published in prestigious journals such as Science, Nature Communications and Journal of Neuroscience.

In The Last Decade

Lucy M. Palmer

24 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lucy M. Palmer Australia 15 873 824 185 149 102 26 1.3k
Sebastian Haidarliu Israel 20 1.0k 1.2× 1.3k 1.6× 123 0.7× 77 0.5× 85 0.8× 35 1.6k
Fernando R. Fernandez United States 20 663 0.8× 518 0.6× 299 1.6× 124 0.8× 61 0.6× 38 978
Robert N. S. Sachdev United States 25 1.2k 1.4× 1.5k 1.8× 204 1.1× 161 1.1× 81 0.8× 48 2.0k
Megan R. Carey Portugal 17 534 0.6× 475 0.6× 238 1.3× 310 2.1× 35 0.3× 25 1.1k
Gilad A. Jacobson Israel 8 512 0.6× 533 0.6× 162 0.9× 133 0.9× 20 0.2× 9 877
Gonçalo Lopes Portugal 9 471 0.5× 395 0.5× 136 0.7× 33 0.2× 77 0.8× 17 967
Johann H. Bollmann Germany 12 899 1.0× 556 0.7× 729 3.9× 52 0.3× 39 0.4× 13 1.4k
Alberto E. Pereda United States 20 880 1.0× 480 0.6× 708 3.8× 64 0.4× 46 0.5× 33 1.4k
Mark A. Masino United States 20 802 0.9× 567 0.7× 395 2.1× 46 0.3× 75 0.7× 29 1.7k
Simon Peron United States 12 1.2k 1.4× 1.3k 1.6× 215 1.2× 74 0.5× 139 1.4× 17 1.7k

Countries citing papers authored by Lucy M. Palmer

Since Specialization
Citations

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

Fields of papers citing papers by Lucy M. Palmer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lucy M. Palmer. 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 Lucy M. Palmer. The network helps show where Lucy M. Palmer may publish in the future.

Co-authorship network of co-authors of Lucy M. Palmer

This figure shows the co-authorship network connecting the top 25 collaborators of Lucy M. Palmer. A scholar is included among the top collaborators of Lucy M. Palmer 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 Lucy M. Palmer. Lucy M. Palmer 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.
Haidar, Mouna, Doris Tomas, Samuel A. Mills, et al.. (2025). Cortical hyperexcitability drives dying forward amyotrophic lateral sclerosis symptoms and pathology in mice. Progress in Neurobiology. 252. 102809–102809.
2.
Wang, Xiaoyu, Verena C. Wimmer, Hongyan Guan, et al.. (2025). Increased neural excitability and glioma synaptic activity drives glioma proliferation in human cortex. Nature Neuroscience. 29(2). 350–357.
3.
Palmer, Lucy M., et al.. (2024). The plasticity of pyramidal neurons in the behaving brain. Philosophical Transactions of the Royal Society B Biological Sciences. 379(1906). 20230231–20230231. 3 indexed citations
4.
Palmer, Lucy M., et al.. (2023). A thalamocortical pathway controlling impulsive behavior. Trends in Neurosciences. 46(12). 1018–1024. 4 indexed citations
5.
Tang, V., Brendan A. Bicknell, Christine Grienberger, et al.. (2022). Dendritic Mechanisms forIn VivoNeural Computations and Behavior. Journal of Neuroscience. 42(45). 8460–8467. 7 indexed citations
6.
Palmer, Lucy M., et al.. (2022). Neural basis of anticipation and premature impulsive action in the frontal cortex. Nature Neuroscience. 25(12). 1683–1692. 7 indexed citations
7.
Testa-Silva, Guilherme, Chris French, James King, et al.. (2022). High synaptic threshold for dendritic NMDA spike generation in human layer 2/3 pyramidal neurons. Cell Reports. 41(11). 111787–111787. 17 indexed citations
8.
Stuart, Greg J., et al.. (2021). Auditory input enhances somatosensory encoding and tactile goal-directed behavior. Nature Communications. 12(1). 4509–4509. 16 indexed citations
9.
Palmer, Lucy M., et al.. (2021). Local and Global Dynamics of Dendritic Activity in the Pyramidal Neuron. Neuroscience. 489. 176–184. 12 indexed citations
10.
Palmer, Lucy M., et al.. (2020). Probing Cortical Activity During Head-Fixed Behavior. Frontiers in Molecular Neuroscience. 13. 30–30. 8 indexed citations
11.
Takahashi, Naoya, et al.. (2017). A Reward-Based Behavioral Platform to Measure Neural Activity during Head-Fixed Behavior. Frontiers in Cellular Neuroscience. 11. 156–156. 11 indexed citations
12.
Murphy, Sean C., Lucy M. Palmer, Thomas Nyffeler, René M. Müri, & Matthew E. Larkum. (2016). Transcranial magnetic stimulation (TMS) inhibits cortical dendrites. eLife. 5. 77 indexed citations
13.
Palmer, Lucy M., Adam Shai, James E. Reeve, et al.. (2014). NMDA spikes enhance action potential generation during sensory input. Nature Neuroscience. 17(3). 383–390. 196 indexed citations
14.
Palmer, Lucy M., Jan M. Schulz, & Matthew E. Larkum. (2013). Layer-specific regulation of cortical neurons by interhemispheric inhibition. Communicative & Integrative Biology. 6(3). e23545–e23545. 17 indexed citations
15.
Palmer, Lucy M.. (2013). Dendritic integration in pyramidal neurons during network activity and disease. Brain Research Bulletin. 103. 2–10. 25 indexed citations
16.
Palmer, Lucy M., Masanori Murayama, & Matthew E. Larkum. (2012). Inhibitory Regulation of Dendritic Activity in vivo. Frontiers in Neural Circuits. 6. 26–26. 67 indexed citations
17.
Granato, Alberto, Lucy M. Palmer, Andrea De Giorgio, Daniela Tavian, & Matthew E. Larkum. (2012). Early Exposure to Alcohol Leads to Permanent Impairment of Dendritic Excitability in Neocortical Pyramidal Neurons. Journal of Neuroscience. 32(4). 1377–1382. 37 indexed citations
18.
Palmer, Lucy M. & Greg J. Stuart. (2009). Membrane Potential Changes in Dendritic Spines during Action Potentials and Synaptic Input. Journal of Neuroscience. 29(21). 6897–6903. 110 indexed citations
19.
Palmer, Lucy M., Max Deffenbaugh, & Allen F. Mensinger. (2005). Sensitivity of the anterior lateral line to natural stimuli in the oyster toadfish,Opsanus tau(Linnaeus). Journal of Experimental Biology. 208(18). 3441–3450. 26 indexed citations
20.
Palmer, Lucy M., et al.. (2003). Neural Recordings From the Lateral Line in Free-Swimming Toadfish, Opsanus tau. Biological Bulletin. 205(2). 216–218. 14 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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