Karl Farrow

1.8k total citations
31 papers, 1.2k citations indexed

About

Karl Farrow is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Karl Farrow has authored 31 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Cellular and Molecular Neuroscience, 15 papers in Cognitive Neuroscience and 14 papers in Molecular Biology. Recurrent topics in Karl Farrow's work include Neural dynamics and brain function (12 papers), Retinal Development and Disorders (12 papers) and Photoreceptor and optogenetics research (11 papers). Karl Farrow is often cited by papers focused on Neural dynamics and brain function (12 papers), Retinal Development and Disorders (12 papers) and Photoreceptor and optogenetics research (11 papers). Karl Farrow collaborates with scholars based in Belgium, United States and Switzerland. Karl Farrow's co-authors include Botond Roska, Juergen Haag, Alexander Borst, Richard H. Masland, Tamás Szikra, Miguel Teixeira, Kamill Bálint, Keisuke Yonehara, Josephine Jüttner and Tim J. Viney and has published in prestigious journals such as Nature, Science and Nature Communications.

In The Last Decade

Karl Farrow

29 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
Karl Farrow Belgium 16 692 600 463 146 77 31 1.2k
Verena Pawlak Germany 13 913 1.3× 503 0.8× 579 1.3× 80 0.5× 110 1.4× 17 1.4k
Conny Kopp‐Scheinpflug Germany 25 951 1.4× 572 1.0× 1.1k 2.4× 160 1.1× 211 2.7× 45 2.2k
Sandra Siegert Austria 13 995 1.4× 1.2k 2.1× 258 0.6× 94 0.6× 228 3.0× 23 1.8k
Kea Joo Lee South Korea 18 417 0.6× 447 0.7× 279 0.6× 117 0.8× 201 2.6× 47 1.1k
Attila Szücs Hungary 21 488 0.7× 321 0.5× 605 1.3× 134 0.9× 56 0.7× 54 1.3k
Abhishek Banerjee United States 13 457 0.7× 918 1.5× 575 1.2× 62 0.4× 61 0.8× 24 1.5k
Emilie Campanac France 13 818 1.2× 545 0.9× 515 1.1× 84 0.6× 135 1.8× 14 1.4k
Juncal González‐Soriano Spain 16 640 0.9× 551 0.9× 267 0.6× 198 1.4× 128 1.7× 35 1.2k
Chinh Dang United States 7 340 0.5× 622 1.0× 355 0.8× 85 0.6× 98 1.3× 10 1.3k
Kazuyuki Imamura Japan 21 607 0.9× 342 0.6× 408 0.9× 51 0.3× 73 0.9× 55 1.2k

Countries citing papers authored by Karl Farrow

Since Specialization
Citations

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

Fields of papers citing papers by Karl Farrow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Karl Farrow

This figure shows the co-authorship network connecting the top 25 collaborators of Karl Farrow. A scholar is included among the top collaborators of Karl Farrow 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 Karl Farrow. Karl Farrow 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.
Baier, Felix, Katja Reinhard, Chen Liu, et al.. (2025). The neural basis of species-specific defensive behaviour in Peromyscus mice. Nature. 645(8080). 439–447. 1 indexed citations
2.
Li, Chen, et al.. (2025). Dendritic architecture enables de novo computation of salient motion in the superior colliculus. Current Biology. 35(16). 3799–3811.e8.
3.
Andries, Lien, et al.. (2025). Developmental trajectories predict dendritic remodeling after injury. iScience. 28(9). 113373–113373.
4.
Hoy, Jennifer L. & Karl Farrow. (2025). The superior colliculus. Current Biology. 35(5). R164–R168. 3 indexed citations
5.
Farrow, Karl, et al.. (2024). Retinal origin of orientation but not direction selective maps in the superior colliculus. Current Biology. 34(6). 1222–1233.e7. 4 indexed citations
6.
Farrow, Karl, et al.. (2024). Local glycolysis supports injury-induced axonal regeneration. The Journal of Cell Biology. 223(12). 6 indexed citations
7.
Reinhard, Katja, et al.. (2023). Pathway-specific inputs to the superior colliculus support flexible responses to visual threat. Science Advances. 9(35). eade3874–eade3874. 12 indexed citations
8.
Reinhard, Katja, et al.. (2021). Optogenetic fUSI for brain-wide mapping of neural activity mediating collicular-dependent behaviors. Neuron. 109(11). 1888–1905.e10. 42 indexed citations
9.
Farrow, Karl, et al.. (2020). Reconsidering the Border between the Visual and Posterior Parietal Cortex of Mice. Cerebral Cortex. 31(3). 1675–1692. 14 indexed citations
10.
Reinhard, Katja, et al.. (2019). A projection specific logic to sampling visual inputs in mouse superior colliculus. eLife. 8. 49 indexed citations
11.
Rice, Heather C., An Schreurs, Samuel Frère, et al.. (2019). Secreted amyloid-β precursor protein functions as a GABA B R1a ligand to modulate synaptic transmission. Science. 363(6423). 206 indexed citations
12.
Aydın, Çağatay, João Couto, Michèle Giugliano, Karl Farrow, & Vincent Bonin. (2018). Locomotion modulates specific functional cell types in the mouse visual thalamus. Nature Communications. 9(1). 4882–4882. 36 indexed citations
13.
Farrow, Karl, et al.. (2018). Retinotopic Separation of Nasal and Temporal Motion Selectivity in the Mouse Superior Colliculus. Current Biology. 28(18). 2961–2969.e4. 29 indexed citations
14.
Jones, Ian L., Tom Russell, Karl Farrow, et al.. (2015). A method for electrophysiological characterization of hamster retinal ganglion cells using a high-density CMOS microelectrode array. Frontiers in Neuroscience. 9. 360–360. 11 indexed citations
15.
Szikra, Tamás, Stuart Trenholm, Antonia Drinnenberg, et al.. (2014). Rods in daylight act as relay cells for cone-driven horizontal cell–mediated surround inhibition. Nature Neuroscience. 17(12). 1728–1735. 54 indexed citations
16.
Busskamp, Volker, Jacek Król, Tamás Szikra, et al.. (2014). miRNAs 182 and 183 Are Necessary to Maintain Adult Cone Photoreceptor Outer Segments and Visual Function. Neuron. 83(3). 586–600. 110 indexed citations
17.
Yonehara, Keisuke, Karl Farrow, Alexander Ghanem, et al.. (2013). The First Stage of Cardinal Direction Selectivity Is Localized to the Dendrites of Retinal Ganglion Cells. Neuron. 79(6). 1078–1085. 110 indexed citations
18.
Szikra, Tamás, Karl Farrow, & Botond Roska. (2011). Cone-mediated Circuit Switch Activates Lateral Inhibition In A Retinal Ganglion Cell. Investigative Ophthalmology & Visual Science. 52(14). 4569–4569. 1 indexed citations
19.
Farrow, Karl, et al.. (2007). Adaptive rescaling of central sensorimotor signals is preserved after unilateral vestibular damage. Brain Research. 1143. 132–142. 6 indexed citations
20.
Farrow, Karl, Alexander Borst, & Juergen Haag. (2005). Sharing Receptive Fields with Your Neighbors: Tuning the Vertical System Cells to Wide Field Motion. Journal of Neuroscience. 25(15). 3985–3993. 43 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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