Robert H. Cudmore

2.9k total citations · 1 hit paper
20 papers, 2.2k citations indexed

About

Robert H. Cudmore is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Robert H. Cudmore has authored 20 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cellular and Molecular Neuroscience, 9 papers in Cognitive Neuroscience and 7 papers in Molecular Biology. Recurrent topics in Robert H. Cudmore's work include Neuroscience and Neuropharmacology Research (12 papers), Neural dynamics and brain function (9 papers) and Neuroscience and Neural Engineering (5 papers). Robert H. Cudmore is often cited by papers focused on Neuroscience and Neuropharmacology Research (12 papers), Neural dynamics and brain function (9 papers) and Neuroscience and Neural Engineering (5 papers). Robert H. Cudmore collaborates with scholars based in United States, France and China. Robert H. Cudmore's co-authors include Kenneth F. Manly, Gina G. Turrigiano, Niraj S. Desai, Sacha B. Nelson, David J. Linden, Richard L. Huganir, Yong Zhang, Laure Fronzaroli‐Molinières, Dominique Debanne and Pierre Giraud and has published in prestigious journals such as Neuron, Journal of Neuroscience and Nature Neuroscience.

In The Last Decade

Robert H. Cudmore

18 papers receiving 2.2k citations

Hit Papers

Map Manager QTX, cross-platform software for genetic mapping 2001 2026 2009 2017 2001 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Robert H. Cudmore United States 14 909 717 615 607 493 20 2.2k
Manuel Megı́as Spain 25 1.2k 1.3× 563 0.8× 792 1.3× 672 1.1× 192 0.4× 72 2.7k
P K Ghosh United States 27 484 0.5× 457 0.6× 532 0.9× 1.6k 2.7× 769 1.6× 37 3.5k
Josh Dubnau United States 25 1.8k 2.0× 563 0.8× 263 0.4× 1.6k 2.6× 926 1.9× 47 3.5k
Sheriar G. Hormuzdi Germany 27 1.7k 1.9× 373 0.5× 937 1.5× 2.3k 3.9× 249 0.5× 40 3.8k
Priyamvada Rajasethupathy United States 12 526 0.6× 236 0.3× 394 0.6× 932 1.5× 166 0.3× 17 1.7k
Erika Sasaki Japan 32 457 0.5× 275 0.4× 421 0.7× 2.2k 3.7× 653 1.3× 175 4.0k
Sha Liu China 20 779 0.9× 220 0.3× 377 0.6× 302 0.5× 291 0.6× 50 1.8k
Jesse Gillis United States 30 446 0.5× 301 0.4× 417 0.7× 2.2k 3.7× 578 1.2× 72 3.1k
Atsushi Matsubara Japan 23 832 0.9× 831 1.2× 329 0.5× 1.1k 1.8× 373 0.8× 83 3.2k

Countries citing papers authored by Robert H. Cudmore

Since Specialization
Citations

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

Fields of papers citing papers by Robert H. Cudmore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert H. Cudmore. 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 Robert H. Cudmore. The network helps show where Robert H. Cudmore may publish in the future.

Co-authorship network of co-authors of Robert H. Cudmore

This figure shows the co-authorship network connecting the top 25 collaborators of Robert H. Cudmore. A scholar is included among the top collaborators of Robert H. Cudmore 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 Robert H. Cudmore. Robert H. Cudmore 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.
Cudmore, Robert H., et al.. (2024). The Lateral Habenula Is Necessary for Maternal Behavior in the Naturally Parturient Primiparous Mouse Dam. eNeuro. 12(1). ENEURO.0092–24.2024.
2.
3.
Cudmore, Robert H., et al.. (2023). PiE: an open-source pipeline for home cage behavioral analysis. Frontiers in Neuroscience. 17. 1222644–1222644. 3 indexed citations
4.
Cudmore, Robert H. & Luis F. Santana. (2022). Piezo1 Tunes Blood Flow in the Central Nervous System. Circulation Research. 130(10). 1547–1549. 6 indexed citations
5.
Cudmore, Robert H., et al.. (2022). Biological noise is a key determinant of the reproducibility and adaptability of cardiac pacemaking and EC coupling. The Journal of General Physiology. 154(9). 13 indexed citations
6.
Cudmore, Robert H., et al.. (2021). The Organization of the Sinoatrial Node Microvasculature Varies Regionally to Match Local Myocyte Excitability. Function. 2(4). zqab031–zqab031. 19 indexed citations
7.
Tan, Han L., Richard H. Roth, Austin R. Graves, Robert H. Cudmore, & Richard L. Huganir. (2020). Lamina-specific AMPA receptor dynamics following visual deprivation in vivo. eLife. 9. 16 indexed citations
8.
Li, Yuanyuan, Ran Ding, Feifei Wang, et al.. (2020). Transient ischemia-reperfusion induces cortical hyperactivity and AMPAR trafficking in the somatosensory cortex. Aging. 12(5). 4299–4321. 5 indexed citations
9.
Ye, Zengyou, Robert H. Cudmore, & David J. Linden. (2019). Estrogen-Dependent Functional Spine Dynamics in Neocortical Pyramidal Neurons of the Mouse. Journal of Neuroscience. 39(25). 4874–4888. 20 indexed citations
10.
Roth, Richard H., Robert H. Cudmore, Han L. Tan, et al.. (2019). Cortical Synaptic AMPA Receptor Plasticity during Motor Learning. Neuron. 105(5). 895–908.e5. 81 indexed citations
11.
Cudmore, Robert H., Sarah Dougherty, & David J. Linden. (2017). Cerebral vascular structure in the motor cortex of adult mice is stable and is not altered by voluntary exercise. Journal of Cerebral Blood Flow & Metabolism. 37(12). 3725–3743. 42 indexed citations
12.
Jin, Yunju, Sarah Dougherty, Kevin M. Wood, et al.. (2016). Regrowth of Serotonin Axons in the Adult Mouse Brain Following Injury. Neuron. 91(4). 748–762. 65 indexed citations
13.
Zhang, Yong, Robert H. Cudmore, Da‐Ting Lin, David J. Linden, & Richard L. Huganir. (2015). Visualization of NMDA receptor–dependent AMPA receptor synaptic plasticity in vivo. Nature Neuroscience. 18(3). 402–407. 132 indexed citations
14.
Campanac, Emilie, Célia Gasselin, Robert H. Cudmore, et al.. (2011). The role of hyperpolarization‐activated cationic current in spike‐time precision and intrinsic resonance in cortical neurons in vitro. The Journal of Physiology. 589(15). 3753–3773. 50 indexed citations
15.
Cudmore, Robert H.. (2011). Dynamic clamp. Scholarpedia. 6(5). 1470–1470. 5 indexed citations
16.
Cudmore, Robert H., Laure Fronzaroli‐Molinières, Pierre Giraud, & Dominique Debanne. (2010). Spike-Time Precision and Network Synchrony Are Controlled by the Homeostatic Regulation of the D-Type Potassium Current. Journal of Neuroscience. 30(38). 12885–12895. 80 indexed citations
17.
Debanne, Dominique, Sami Boudkkazi, Emilie Campanac, et al.. (2008). Paired-recordings from synaptically coupled cortical and hippocampal neurons in acute and cultured brain slices. Nature Protocols. 3(10). 1559–1568. 64 indexed citations
18.
Cudmore, Robert H. & Gina G. Turrigiano. (2004). Long-Term Potentiation of Intrinsic Excitability in LV Visual Cortical Neurons. Journal of Neurophysiology. 92(1). 341–348. 112 indexed citations
19.
Desai, Niraj S., Robert H. Cudmore, Sacha B. Nelson, & Gina G. Turrigiano. (2002). Critical periods for experience-dependent synaptic scaling in visual cortex. Nature Neuroscience. 5(8). 783–789. 462 indexed citations
20.
Manly, Kenneth F., et al.. (2001). Map Manager QTX, cross-platform software for genetic mapping. Mammalian Genome. 12(12). 930–932. 1070 indexed citations breakdown →

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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