Arjun Krishnaswamy

1.2k total citations
24 papers, 745 citations indexed

About

Arjun Krishnaswamy is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, Arjun Krishnaswamy has authored 24 papers receiving a total of 745 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 17 papers in Cellular and Molecular Neuroscience and 3 papers in Cognitive Neuroscience. Recurrent topics in Arjun Krishnaswamy's work include Neuroscience and Neuropharmacology Research (12 papers), Retinal Development and Disorders (10 papers) and Photoreceptor and optogenetics research (9 papers). Arjun Krishnaswamy is often cited by papers focused on Neuroscience and Neuropharmacology Research (12 papers), Retinal Development and Disorders (10 papers) and Photoreceptor and optogenetics research (9 papers). Arjun Krishnaswamy collaborates with scholars based in Canada, United States and Japan. Arjun Krishnaswamy's co-authors include Joshua R. Sanes, Xin Duan, Ellis Cooper, Irina De la Huerta, Verónica A. Campanucci, Masahito Yamagata, Y. Kate Hong, Yi‐Rong Peng, Mallory A. Laboulaye and Jinyue Liu and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Arjun Krishnaswamy

23 papers receiving 741 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Arjun Krishnaswamy Canada 12 525 399 115 76 69 24 745
Tyler C. Brown United States 10 400 0.8× 458 1.1× 277 2.4× 66 0.9× 49 0.7× 11 702
Margarethe Bittins Norway 10 413 0.8× 307 0.8× 114 1.0× 114 1.5× 58 0.8× 10 728
Satoshi Kamijo Japan 8 394 0.8× 421 1.1× 57 0.5× 146 1.9× 51 0.7× 10 743
Jeanne Ster Switzerland 12 330 0.6× 412 1.0× 122 1.1× 99 1.3× 60 0.9× 18 630
Luca Della Santina United States 16 1.1k 2.1× 664 1.7× 94 0.8× 118 1.6× 124 1.8× 38 1.4k
Kristin L. Arendt United States 12 422 0.8× 421 1.1× 157 1.4× 128 1.7× 67 1.0× 13 696
Evanna Gleason United States 17 613 1.2× 599 1.5× 77 0.7× 65 0.9× 25 0.4× 34 834
Régine Hepp France 18 524 1.0× 475 1.2× 234 2.0× 69 0.9× 62 0.9× 27 888
Luxiang Cao United States 11 401 0.8× 300 0.8× 80 0.7× 79 1.0× 57 0.8× 14 724
Joshua Barry United States 14 299 0.6× 370 0.9× 83 0.7× 34 0.4× 52 0.8× 24 550

Countries citing papers authored by Arjun Krishnaswamy

Since Specialization
Citations

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

Fields of papers citing papers by Arjun Krishnaswamy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arjun Krishnaswamy

This figure shows the co-authorship network connecting the top 25 collaborators of Arjun Krishnaswamy. A scholar is included among the top collaborators of Arjun Krishnaswamy 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 Arjun Krishnaswamy. Arjun Krishnaswamy 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.
Waxman, Stephen G., et al.. (2025). Retinal glia regulate development of the circadian photoentrainment circuit. Cell Reports. 44(11). 116464–116464.
2.
Cayouette, Michel, et al.. (2025). Cadherin 4 assembles a family of color-preferring retinal circuits that respond to light offset. Current Biology. 35(6). 1298–1310.e7. 2 indexed citations
3.
Shiga, Yukihiro, Nicolás Belforte, Heberto Quintero, et al.. (2024). Endoplasmic reticulum stress-related deficits in calcium clearance promote neuronal dysfunction that is prevented by SERCA2 gene augmentation. Cell Reports Medicine. 5(12). 101839–101839. 4 indexed citations
4.
Miraucourt, Loïs S., Mengyi Xu, Erik P. Cook, et al.. (2024). ElecFeX is a user-friendly toolbox for efficient feature extraction from single-cell electrophysiological recordings. Cell Reports Methods. 4(6). 100791–100791. 1 indexed citations
5.
Khadra, Anmar, et al.. (2023). Visual attention to features and space in mice using reverse correlation. Current Biology. 33(17). 3690–3701.e4. 4 indexed citations
6.
Trenholm, Stuart & Arjun Krishnaswamy. (2020). An Annotated Journey through Modern Visual Neuroscience. Journal of Neuroscience. 40(1). 44–53. 4 indexed citations
7.
Krishnaswamy, Arjun, et al.. (2020). New Optical Tools to Study Neural Circuit Assembly in the Retina. Frontiers in Neural Circuits. 14. 44–44. 4 indexed citations
8.
Zhao, Jiaying, Meghan B. Azad, Erin M. Bertrand, et al.. (2020). Canadian Science Meets Parliament: Building relationships between scientists and policymakers. Science and Public Policy. 48(4). 447–450. 2 indexed citations
9.
Duan, Xin, Arjun Krishnaswamy, Mallory A. Laboulaye, et al.. (2018). Cadherin Combinations Recruit Dendrites of Distinct Retinal Neurons to a Shared Interneuronal Scaffold. Neuron. 99(6). 1145–1154.e6. 67 indexed citations
10.
Liu, Jinyue, Mallory A. Laboulaye, Shristi Pandey, et al.. (2018). Tbr1 instructs laminar patterning of retinal ganglion cell dendrites. Nature Neuroscience. 21(5). 659–670. 47 indexed citations
11.
Peng, Yi‐Rong, et al.. (2017). Satb1 Regulates Contactin 5 to Pattern Dendrites of a Mammalian Retinal Ganglion Cell. Neuron. 95(4). 869–883.e6. 78 indexed citations
12.
Krishnaswamy, Arjun, Masahito Yamagata, Xin Duan, Y. Kate Hong, & Joshua R. Sanes. (2015). Sidekick 2 directs formation of a retinal circuit that detects differential motion. Nature. 524(7566). 466–470. 117 indexed citations
13.
Duan, Xin, Arjun Krishnaswamy, Irina De la Huerta, & Joshua R. Sanes. (2014). Type II Cadherins Guide Assembly of a Direction-Selective Retinal Circuit. Cell. 158(4). 793–807. 162 indexed citations
14.
15.
Davisson, Muriel T., Roderick T. Bronson, Abigail L. D. Tadenev, et al.. (2011). A Spontaneous Mutation in Contactin 1 in the Mouse. PLoS ONE. 6(12). e29538–e29538. 16 indexed citations
16.
Campanucci, Verónica A., Arjun Krishnaswamy, & Ellis Cooper. (2010). Diabetes Depresses Synaptic Transmission in Sympathetic Ganglia by Inactivating nAChRs through a Conserved Intracellular Cysteine Residue. Neuron. 66(6). 827–834. 54 indexed citations
17.
Krishnaswamy, Arjun & Ellis Cooper. (2009). An Activity-Dependent Retrograde Signal Induces the Expression of the High-Affinity Choline Transporter in Cholinergic Neurons. Neuron. 61(2). 272–286. 28 indexed citations
18.
Krishnaswamy, Arjun, et al.. (2009). Engineering neuronal nicotinic acetylcholine receptors with functional sensitivity to α‐bungarotoxin: a novel α3‐knock‐in mouse. European Journal of Neuroscience. 30(11). 2064–2076. 11 indexed citations
19.
Campanucci, Verónica A., Arjun Krishnaswamy, & Ellis Cooper. (2008). Mitochondrial Reactive Oxygen Species Inactivate Neuronal Nicotinic Acetylcholine Receptors and Induce Long-Term Depression of Fast Nicotinic Synaptic Transmission. Journal of Neuroscience. 28(7). 1733–1744. 45 indexed citations
20.

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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