Andrew Jo

852 total citations
21 papers, 662 citations indexed

About

Andrew Jo is a scholar working on Molecular Biology, Sensory Systems and Cellular and Molecular Neuroscience. According to data from OpenAlex, Andrew Jo has authored 21 papers receiving a total of 662 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 9 papers in Sensory Systems and 7 papers in Cellular and Molecular Neuroscience. Recurrent topics in Andrew Jo's work include Ion Channels and Receptors (9 papers), Connexins and lens biology (6 papers) and Photoreceptor and optogenetics research (4 papers). Andrew Jo is often cited by papers focused on Ion Channels and Receptors (9 papers), Connexins and lens biology (6 papers) and Photoreceptor and optogenetics research (4 papers). Andrew Jo collaborates with scholars based in United States, Denmark and Japan. Andrew Jo's co-authors include David Križaj, Daniel A. Ryskamp, Oleg Yarishkin, Nanna MacAulay, Tam T. T. Phuong, Mónika Lakk, Sarah N. Redmon, Amber M. Frye, A. S. Verkman and Wallace B. Thoreson and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Neuroscience.

In The Last Decade

Andrew Jo

20 papers receiving 658 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrew Jo United States 11 412 248 174 146 124 21 662
Sarah N. Redmon United States 11 247 0.6× 168 0.7× 89 0.5× 101 0.7× 111 0.9× 16 430
Karen Ho United States 8 223 0.5× 141 0.6× 124 0.7× 116 0.8× 67 0.5× 13 503
Lian Cui South Korea 14 133 0.3× 50 0.2× 135 0.8× 62 0.4× 191 1.5× 22 532
Priya Martina Gomes Belgium 10 274 0.7× 35 0.1× 120 0.7× 32 0.2× 97 0.8× 12 633
Tongrong Zhou United States 13 350 0.8× 26 0.1× 281 1.6× 95 0.7× 69 0.6× 21 726
Suzhen Gong United States 11 114 0.3× 36 0.1× 149 0.9× 40 0.3× 49 0.4× 14 381
Walid Jalabi United States 10 202 0.5× 62 0.3× 245 1.4× 26 0.2× 136 1.1× 13 1.0k
Lindsey A. Chew United States 16 287 0.7× 30 0.1× 291 1.7× 20 0.1× 302 2.4× 23 644
Kazuhito Ikeda Japan 14 242 0.6× 24 0.1× 219 1.3× 112 0.8× 77 0.6× 31 627
Kurt Stephan Austria 10 479 1.2× 366 1.5× 300 1.7× 6 0.0× 38 0.3× 17 949

Countries citing papers authored by Andrew Jo

Since Specialization
Citations

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

Fields of papers citing papers by Andrew Jo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew Jo

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew Jo. A scholar is included among the top collaborators of Andrew Jo 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 Andrew Jo. Andrew Jo 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.
Soto, Florentina, Chin-I Lin, Andrew Jo, et al.. (2025). Molecular mechanism establishing the OFF pathway in vision. Nature Communications. 16(1). 3708–3708.
2.
Jo, Andrew, et al.. (2023). A sign-inverted receptive field of inhibitory interneurons provides a pathway for ON-OFF interactions in the retina. Nature Communications. 14(1). 5937–5937. 4 indexed citations
3.
Jo, Andrew, et al.. (2023). Modular interneuron circuits control motion sensitivity in the mouse retina. Nature Communications. 14(1). 7746–7746. 1 indexed citations
4.
Xu, Jian, Andrew Jo, J. Marshall, et al.. (2022). Intersectional mapping of multi-transmitter neurons and other cell types in the brain. Cell Reports. 40(1). 111036–111036. 17 indexed citations
5.
Jo, Andrew, et al.. (2022). TRPV4 and TRPC1 channels mediate the response to tensile strain in mouse Müller cells. Cell Calcium. 104. 102588–102588. 19 indexed citations
6.
Redmon, Sarah N., Oleg Yarishkin, Mónika Lakk, et al.. (2021). TRPV4 channels mediate the mechanoresponse in retinal microglia. Glia. 69(6). 1563–1582. 42 indexed citations
7.
Wall, Emily, et al.. (2019). A Markov Model of Users’ Interactive Behavior in Scatterplots. 81–85. 10 indexed citations
8.
Jo, Andrew, et al.. (2018). Intersectional Strategies for Targeting Amacrine and Ganglion Cell Types in the Mouse Retina. Frontiers in Neural Circuits. 12. 66–66. 12 indexed citations
9.
Lakk, Mónika, et al.. (2018). Polymodal TRPV1 and TRPV4 Sensors Colocalize but Do Not Functionally Interact in a Subpopulation of Mouse Retinal Ganglion Cells. Frontiers in Cellular Neuroscience. 12. 353–353. 41 indexed citations
10.
Jo, Andrew, Hiofan Hoi, Hang Zhou, Manisha Gupta, & Carlo Montemagno. (2017). Single-molecule study of full-length NaChBac by planar lipid bilayer recording. PLoS ONE. 12(11). e0188861–e0188861. 4 indexed citations
11.
Jo, Andrew, Jennifer Noel, Mónika Lakk, et al.. (2017). Mouse retinal ganglion cell signalling is dynamically modulated through parallel anterograde activation of cannabinoid and vanilloid pathways. The Journal of Physiology. 595(20). 6499–6516. 30 indexed citations
12.
Iuso, Anthony, et al.. (2016). Membrane Cholesterol Differentially Regulates TRPV4 Drug-Channel Efficacy and Osmotic-Evoked Swelling in Müller Astroglia. Investigative Ophthalmology & Visual Science. 57(12). 6425–6425. 1 indexed citations
13.
Ryskamp, Daniel A., Amber M. Frye, Tam T. T. Phuong, et al.. (2016). TRPV4 regulates calcium homeostasis, cytoskeletal remodeling, conventional outflow and intraocular pressure in the mammalian eye. Scientific Reports. 6(1). 30583–30583. 100 indexed citations
14.
Jo, Andrew, et al.. (2015). TRPV4 channels regulate the inflow pathway in the anterior eye. Investigative Ophthalmology & Visual Science. 56(7). 1298–1298. 1 indexed citations
15.
Jo, Andrew, Daniel A. Ryskamp, Tam T. T. Phuong, et al.. (2015). TRPV4 and AQP4 Channels Synergistically Regulate Cell Volume and Calcium Homeostasis in Retinal Müller Glia. Journal of Neuroscience. 35(39). 13525–13537. 183 indexed citations
16.
Jo, Andrew, et al.. (2014). NONRETROGRADE ENDOCANNABINOID SIGNALING MODULATES RETINAL GANGLION CELL CALCIUM HOMEOSTASIS THROUGH THE TRPV1 CATION CHANNEL. Investigative Ophthalmology & Visual Science. 55(13). 3021–3021. 3 indexed citations
17.
Ryskamp, Daniel A., Andrew Jo, Amber M. Frye, et al.. (2014). Swelling and Eicosanoid Metabolites Differentially Gate TRPV4 Channels in Retinal Neurons and Glia. Journal of Neuroscience. 34(47). 15689–15700. 92 indexed citations
18.
Redmon, Sarah N., et al.. (2014). TRPV1 and Endocannabinoids: Emerging Molecular Signals that Modulate Mammalian Vision. Cells. 3(3). 914–938. 52 indexed citations
19.
Križaj, David, Daniel A. Ryskamp, Andrew Jo, A. S. Verkman, & Nanna MacAulay. (2013). Molecular coupling between TRPV4 and aquaporin 4 channels mediates osmosensation in Müller glia. Investigative Ophthalmology & Visual Science. 54(15). 2673–2673. 1 indexed citations
20.
Frye, Amber M., et al.. (2012). Overstimulation of TRPV4 in vivo Induces Selective Apoptosis of Retinal Ganglion Cells. An Acute in vivo Experimental Model for Glaucoma. Investigative Ophthalmology & Visual Science. 53(14). 6944–6944. 1 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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