Kevin Ford

456 total citations
10 papers, 324 citations indexed

About

Kevin Ford is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, Kevin Ford has authored 10 papers receiving a total of 324 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cellular and Molecular Neuroscience, 8 papers in Molecular Biology and 3 papers in Cognitive Neuroscience. Recurrent topics in Kevin Ford's work include Photoreceptor and optogenetics research (8 papers), Retinal Development and Disorders (6 papers) and Neuroscience and Neuropharmacology Research (6 papers). Kevin Ford is often cited by papers focused on Photoreceptor and optogenetics research (8 papers), Retinal Development and Disorders (6 papers) and Neuroscience and Neuropharmacology Research (6 papers). Kevin Ford collaborates with scholars based in United States. Kevin Ford's co-authors include Marla B. Feller, Graeme W. Davis, Michael A. Gaviño, Aaron G. Blankenship, Juliette Johnson, Rebecca P. Seal, Robert H. Edwards, David R. Copenhagen, Richard D. Fetter and J. Nathan Kutz and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Neuron and Journal of Neuroscience.

In The Last Decade

Kevin Ford

10 papers receiving 319 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kevin Ford United States	9	272	205	80	38	21	10	324
Bozena Fyk‐Kolodziej United States	12	297 1.1×	282 1.4×	84 1.1×	32 0.8×	34 1.6×	19	410
Lauren C. Liets United States	9	278 1.0×	312 1.5×	57 0.7×	35 0.9×	23 1.1×	10	423
Hitomi Isago Japan	10	353 1.3×	335 1.6×	51 0.6×	24 0.6×	21 1.0×	12	496
Hong‐Ping Xu United States	8	356 1.3×	291 1.4×	132 1.6×	30 0.8×	17 0.8×	11	461
Franziska Schneider‐Warme Germany	9	337 1.2×	212 1.0×	51 0.6×	21 0.6×	25 1.2×	15	439
Norianne T. Ingram United States	10	253 0.9×	326 1.6×	32 0.4×	30 0.8×	25 1.2×	14	407
Jacqueline Gayet‐Primo United States	8	331 1.2×	360 1.8×	54 0.7×	21 0.6×	13 0.6×	12	426
Sarah Hawes United States	8	188 0.7×	81 0.4×	100 1.3×	18 0.5×	11 0.5×	11	294
Santhosh Sethuramanujam Canada	11	251 0.9×	313 1.5×	115 1.4×	22 0.6×	10 0.5×	15	369
Omar R. Ahmad United States	4	134 0.5×	257 1.3×	29 0.4×	32 0.8×	27 1.3×	7	327

Countries citing papers authored by Kevin Ford

Since Specialization

Citations

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

Fields of papers citing papers by Kevin Ford

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kevin Ford

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

All Works

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10 of 10 papers shown

Hauswirth, Anna G., Kevin Ford, Tingting Wang, et al.. (2018). A postsynaptic PI3K-cII dependent signaling controller for presynaptic homeostatic plasticity. eLife. 7. 20 indexed citations

Gaviño, Michael A., et al.. (2015). Homeostatic synaptic depression is achieved through a regulated decrease in presynaptic calcium channel abundance. eLife. 4. 50 indexed citations

Ford, Kevin & Graeme W. Davis. (2014). Archaerhodopsin Voltage Imaging: Synaptic Calcium and BK Channels Stabilize Action Potential Repolarization at theDrosophilaNeuromuscular Junction. Journal of Neuroscience. 34(44). 14517–14525. 26 indexed citations

Lansdell, Benjamin, Kevin Ford, & J. Nathan Kutz. (2014). A Reaction-Diffusion Model of Cholinergic Retinal Waves. PLoS Computational Biology. 10(12). e1003953–e1003953. 9 indexed citations

Ford, Kevin, Jeremy N. Kay, Eric E. Lloyd, et al.. (2013). A role for TREK1 in generating the slow afterhyperpolarization in developing starburst amacrine cells. Journal of Neurophysiology. 109(9). 2250–2259. 14 indexed citations

Ford, Kevin, et al.. (2012). Cellular Mechanisms Underlying Spatiotemporal Features of Cholinergic Retinal Waves. Journal of Neuroscience. 32(3). 850–863. 61 indexed citations

Ford, Kevin & Marla B. Feller. (2012). Formation of Early Retinal Circuits in the Inner-Plexiform Layer. Europe PMC (PubMed Central). 1 indexed citations

Ford, Kevin & Marla B. Feller. (2011). Assembly and disassembly of a retinal cholinergic network. Visual Neuroscience. 29(1). 61–71. 48 indexed citations

Ford, Kevin, et al.. (2010). Non–cell-autonomous factor induces the transition from excitatory to inhibitory GABA signaling in retina independent of activity. Proceedings of the National Academy of Sciences. 107(51). 22302–22307. 14 indexed citations

10.

Blankenship, Aaron G., Kevin Ford, Juliette Johnson, et al.. (2009). Synaptic and Extrasynaptic Factors Governing Glutamatergic Retinal Waves. Neuron. 62(2). 230–241. 81 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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