Kurt C. Marsden

1.2k total citations
23 papers, 790 citations indexed

About

Kurt C. Marsden is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cell Biology. According to data from OpenAlex, Kurt C. Marsden has authored 23 papers receiving a total of 790 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 10 papers in Cellular and Molecular Neuroscience and 6 papers in Cell Biology. Recurrent topics in Kurt C. Marsden's work include Neuroscience and Neuropharmacology Research (6 papers), Zebrafish Biomedical Research Applications (5 papers) and Congenital heart defects research (3 papers). Kurt C. Marsden is often cited by papers focused on Neuroscience and Neuropharmacology Research (6 papers), Zebrafish Biomedical Research Applications (5 papers) and Congenital heart defects research (3 papers). Kurt C. Marsden collaborates with scholars based in United States, United Kingdom and India. Kurt C. Marsden's co-authors include Reed C. Carroll, Michael Granato, Jenna Friedenthal, Karl Bayer, Jason G. Weinger, Kakuri M. Omari, Bridget Shafit‐Zagardo, Cedric S. Raine, Marc A. Wolman and Roshan A. Jain and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Neuron and Journal of Neuroscience.

In The Last Decade

Kurt C. Marsden

23 papers receiving 783 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kurt C. Marsden United States 15 384 340 216 116 83 23 790
Christina Lillesaar Germany 18 393 1.0× 351 1.0× 406 1.9× 80 0.7× 95 1.1× 33 1.1k
Oliver Braubach United States 15 365 1.0× 287 0.8× 511 2.4× 135 1.2× 79 1.0× 35 1.1k
Swati Banerjee United States 14 387 1.0× 462 1.4× 245 1.1× 89 0.8× 40 0.5× 27 905
Victoria Connaughton United States 21 393 1.0× 680 2.0× 476 2.2× 75 0.6× 107 1.3× 81 1.4k
Andrew Prendergast United States 16 244 0.6× 356 1.0× 415 1.9× 81 0.7× 50 0.6× 24 920
Richard Kollmar United States 18 199 0.5× 521 1.5× 139 0.6× 114 1.0× 145 1.7× 30 1.0k
Samuel Sidi United States 15 248 0.6× 1.0k 3.0× 357 1.7× 122 1.1× 119 1.4× 24 1.5k
Tetsuya Koide Japan 15 259 0.7× 517 1.5× 223 1.0× 82 0.7× 50 0.6× 20 996
Eric A. Mosser United States 10 272 0.7× 482 1.4× 206 1.0× 142 1.2× 97 1.2× 10 926
Xesús M. Abalo Spain 19 329 0.9× 541 1.6× 250 1.2× 34 0.3× 63 0.8× 27 902

Countries citing papers authored by Kurt C. Marsden

Since Specialization
Citations

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

Fields of papers citing papers by Kurt C. Marsden

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kurt C. Marsden. 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 Kurt C. Marsden. The network helps show where Kurt C. Marsden may publish in the future.

Co-authorship network of co-authors of Kurt C. Marsden

This figure shows the co-authorship network connecting the top 25 collaborators of Kurt C. Marsden. A scholar is included among the top collaborators of Kurt C. Marsden 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 Kurt C. Marsden. Kurt C. Marsden 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
2.
Marsden, Kurt C., et al.. (2023). Morphological and sensorimotor phenotypes in a zebrafish CHARGE syndrome model are domain‐dependent. Genes Brain & Behavior. 22(3). 5 indexed citations
3.
4.
Bereman, Michael S., et al.. (2022). The Cyanotoxin 2,4-DAB Reduces Viability and Causes Behavioral and Molecular Dysfunctions Associated with Neurodegeneration in Larval Zebrafish. Neurotoxicity Research. 40(2). 347–364. 14 indexed citations
5.
Nelson, Jessica C., Kurt C. Marsden, Jerry Y. Hsu, et al.. (2021). A forward genetic screen identifies Dolk as a regulator of startle magnitude through the potassium channel subunit Kv1.1. PLoS Genetics. 17(6). e1008943–e1008943. 12 indexed citations
6.
Nichols, Ev L., et al.. (2021). Pioneer Axons Utilize a Dcc Signaling-Mediated Invasion Brake to Precisely Complete Their Pathfinding Odyssey. Journal of Neuroscience. 41(31). 6617–6636. 5 indexed citations
7.
Ijaz, Sundas, Jennifer Carlisle Michel, Elizabeth A. Martin, et al.. (2021). Electrical synaptic transmission requires a postsynaptic scaffolding protein. eLife. 10. 18 indexed citations
8.
Bereman, Michael S., et al.. (2020). BMAA and MCLR Interact to Modulate Behavior and Exacerbate Molecular Changes Related to Neurodegeneration in Larval Zebrafish. Toxicological Sciences. 179(2). 251–261. 22 indexed citations
9.
Bremer, Juliane, Kurt C. Marsden, Adam C. Miller, & Michael Granato. (2019). The ubiquitin ligase PHR promotes directional regrowth of spinal zebrafish axons. Communications Biology. 2(1). 195–195. 11 indexed citations
10.
Marsden, Kurt C., Roshan A. Jain, Marc A. Wolman, et al.. (2018). A Cyfip2-Dependent Excitatory Interneuron Pathway Establishes the Innate Startle Threshold. Cell Reports. 23(3). 878–887. 36 indexed citations
11.
Jain, Roshan A., Marc A. Wolman, Kurt C. Marsden, et al.. (2018). A Forward Genetic Screen in Zebrafish Identifies the G-Protein-Coupled Receptor CaSR as a Modulator of Sensorimotor Decision Making. Current Biology. 28(9). 1357–1369.e5. 34 indexed citations
12.
Miller, Adam C., Arish N Shah, Kurt C. Marsden, et al.. (2017). A genetic basis for molecular asymmetry at vertebrate electrical synapses. eLife. 6. 27 indexed citations
13.
Marsden, Kurt C. & Michael Granato. (2015). In Vivo Ca2+ Imaging Reveals that Decreased Dendritic Excitability Drives Startle Habituation. Cell Reports. 13(9). 1733–1740. 49 indexed citations
14.
Wolman, Marc A., Roshan A. Jain, Kurt C. Marsden, et al.. (2015). A Genome-wide Screen Identifies PAPP-AA-Mediated IGFR Signaling as a Novel Regulator of Habituation Learning. Neuron. 85(6). 1200–1211. 64 indexed citations
15.
Wolman, Marc A., Roshan A. Jain, Kurt C. Marsden, et al.. (2015). A Genome-wide Screen Identifies PAPP-AA-Mediated IGFR Signaling as a Novel Regulator of Habituation Learning. Neuron. 87(4). 906–907. 3 indexed citations
16.
Uzunova, Genoveva, et al.. (2011). mGluR and NMDAR activation internalize distinct populations of AMPARs. Molecular and Cellular Neuroscience. 48(2). 161–170. 22 indexed citations
17.
Marsden, Kurt C., et al.. (2010). Selective translocation of Ca 2+ /calmodulin protein kinase IIα (CaMKIIα) to inhibitory synapses. Proceedings of the National Academy of Sciences. 107(47). 20559–20564. 116 indexed citations
18.
Weinger, Jason G., Kakuri M. Omari, Kurt C. Marsden, Cedric S. Raine, & Bridget Shafit‐Zagardo. (2009). Up-Regulation of Soluble Axl and Mer Receptor Tyrosine Kinases Negatively Correlates with Gas6 in Established Multiple Sclerosis Lesions. American Journal Of Pathology. 175(1). 283–293. 87 indexed citations
19.
Marsden, Kurt C., et al.. (2007). NMDA Receptor Activation Potentiates Inhibitory Transmission through GABA Receptor-Associated Protein-Dependent Exocytosis of GABAAReceptors. Journal of Neuroscience. 27(52). 14326–14337. 152 indexed citations
20.
Clarke, Raymond D., Edward J. Buskey, & Kurt C. Marsden. (2004). Effects of water motion and prey behavior on zooplankton capture by two coral reef fishes. Marine Biology. 146(6). 1145–1155. 39 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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