Josh Morgan

3.1k total citations
27 papers, 1.2k citations indexed

About

Josh Morgan is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, Josh Morgan has authored 27 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 14 papers in Cellular and Molecular Neuroscience and 6 papers in Cognitive Neuroscience. Recurrent topics in Josh Morgan's work include Retinal Development and Disorders (17 papers), Neuroscience and Neuropharmacology Research (11 papers) and Photoreceptor and optogenetics research (8 papers). Josh Morgan is often cited by papers focused on Retinal Development and Disorders (17 papers), Neuroscience and Neuropharmacology Research (11 papers) and Photoreceptor and optogenetics research (8 papers). Josh Morgan collaborates with scholars based in United States, Switzerland and Sweden. Josh Morgan's co-authors include Rachel Wong, Jeff W. Lichtman, Daniel R. Berger, Daniel Kerschensteiner, Arthur W. Wetzel, Timm Schubert, Richard Schalek, Noga Vardi, Anuradha Dhingra and Kenneth J. Hayworth and has published in prestigious journals such as Nature, Cell and Nature Communications.

In The Last Decade

Josh Morgan

23 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Josh Morgan United States	14	772	737	308	176	158	27	1.2k
Carl B. Watt United States	25	2.1k 2.7×	1.7k 2.4×	200 0.6×	103 0.6×	52 0.3×	61	2.7k
Adrian Wanner Switzerland	12	176 0.2×	187 0.3×	161 0.5×	126 0.7×	106 0.7×	20	566
Maximilian Joesch Germany	14	502 0.7×	995 1.4×	356 1.2×	100 0.6×	23 0.1×	23	1.3k
Sergey Yurgenson United States	5	183 0.2×	483 0.7×	650 2.1×	174 1.0×	92 0.6×	7	924
John K. Stevens Canada	16	371 0.5×	397 0.5×	435 1.4×	82 0.5×	31 0.2×	29	1.1k
Sandhiya Kalyanasundaram Switzerland	3	485 0.6×	288 0.4×	171 0.6×	682 3.9×	57 0.4×	4	1.4k
Sarada Viswanathan United States	9	829 1.1×	795 1.1×	639 2.1×	211 1.2×	92 0.6×	9	1.8k
Peter H. Li United States	13	324 0.4×	317 0.4×	241 0.8×	124 0.7×	64 0.4×	24	672
Brad Busse United States	12	255 0.3×	278 0.4×	102 0.3×	115 0.7×	57 0.4×	17	696
Kurt Sätzler Germany	15	468 0.6×	636 0.9×	386 1.3×	152 0.9×	107 0.7×	21	1.1k

Countries citing papers authored by Josh Morgan

Since Specialization

Citations

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

Fields of papers citing papers by Josh Morgan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Josh Morgan

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

All Works

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20 of 20 papers shown

Morgan, Josh. (2025). Alternative to the statistical mass confusion of testing for “no effect”. The Journal of Cell Biology. 224(8). 1 indexed citations

Friedrichsen, Karl A., et al.. (2024). Subcellular pathways through VGluT3-expressing mouse amacrine cells provide locally tuned object-motion-selective signals in the retina. Nature Communications. 15(1). 2965–2965.

Hall, Allison, et al.. (2023). Diversity in homeostatic calcium set points predicts retinal ganglion cell survival following optic nerve injury in vivo. Cell Reports. 42(10). 113165–113165. 1 indexed citations

Friedrichsen, Karl A., et al.. (2022). Reconstructing neural circuits using multiresolution correlated light and electron microscopy. Frontiers in Neural Circuits. 16. 753496–753496. 4 indexed citations

Morgan, Josh & Jeff W. Lichtman. (2020). An Individual Interneuron Participates in Many Kinds of Inhibition and Innervates Much of the Mouse Visual Thalamus. Neuron. 106(3). 468–481.e2. 26 indexed citations

Soto, Florentina, Rithwick Rajagopal, Kisha Piggott, et al.. (2020). Efficient Coding by Midget and Parasol Ganglion Cells in the Human Retina. Neuron. 107(4). 656–666.e5. 34 indexed citations

Liang, Liang, Alex Fratzl, Rohan N. Ramesh, et al.. (2018). A Fine-Scale Functional Logic to Convergence from Retina to Thalamus. Cell. 173(6). 1343–1355.e24. 61 indexed citations

Morgan, Josh. (2017). A connectomic approach to the lateral geniculate nucleus. Visual Neuroscience. 34. E014–E014. 1 indexed citations

Morgan, Josh & Jeff W. Lichtman. (2017). Digital tissue and what it may reveal about the brain. BMC Biology. 15(1). 101–101. 8 indexed citations

10.

Morgan, Josh, Daniel R. Berger, Arthur W. Wetzel, & Jeff W. Lichtman. (2016). The Fuzzy Logic of Network Connectivity in Mouse Visual Thalamus. Cell. 165(1). 192–206. 155 indexed citations

11.

Morgan, Josh, et al.. (2016). A STUDY OF THE IMAGE QUALITY OF COMPUTED TOMOGRAPHY ADAPTIVE STATISTICAL ITERATIVE RECONSTRUCTED BRAIN IMAGES USING SUBJECTIVE AND OBJECTIVE METHODS. Radiation Protection Dosimetry. 169(1-4). 92–99. 3 indexed citations

12.

Battista, Jerry, et al.. (2016). Automatic landmark generation for deformable image registration evaluation for 4D CT images of lung. Physics in Medicine and Biology. 61(20). 7236–7245. 8 indexed citations

13.

Hayworth, Kenneth J., Josh Morgan, Richard Schalek, et al.. (2014). Imaging ATUM ultrathin section libraries with WaferMapper: a multi-scale approach to EM reconstruction of neural circuits. Frontiers in Neural Circuits. 8. 68–68. 173 indexed citations

14.

Schwartz, Gregory W., Haruhisa Okawa, Felice A. Dunn, et al.. (2012). The spatial structure of a nonlinear receptive field. Nature Neuroscience. 15(11). 1572–1580. 159 indexed citations

15.

Kerschensteiner, Daniel, Josh Morgan, Edward D. Parker, Renate Lewis, & Rachel Wong. (2009). Neurotransmission selectively regulates synapse formation in parallel circuits in vivo. Nature. 460(7258). 1016–1020. 141 indexed citations

16.

Huckfeldt, Rachel M., Timm Schubert, Josh Morgan, et al.. (2008). Transient neurites of retinal horizontal cells exhibit columnar tiling via homotypic interactions. Nature Neuroscience. 12(1). 35–43. 78 indexed citations

17.

Morgan, Josh, Timm Schubert, & Rachel Wong. (2008). Developmental patterning of glutamatergic synapses onto retinal ganglion cells. Neural Development. 3(1). 8–8. 73 indexed citations

18.

Morgan, Josh & Rachel Wong. (2007). Development of Cell Types and Synaptic Connections in the Retina. Europe PMC (PubMed Central). 245(1). 274–9. 11 indexed citations

19.

Morgan, Josh, Rachel M. Huckfeldt, & Rachel Wong. (2005). Imaging techniques in retinal research. Experimental Eye Research. 80(3). 297–306. 20 indexed citations

20.

Mumm, Jeff S., Leanne Godinho, Josh Morgan, et al.. (2004). Laminar circuit formation in the vertebrate retina. Progress in brain research. 147. 155–169. 40 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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