Onkar S. Dhande

1.4k total citations
19 papers, 963 citations indexed

About

Onkar S. Dhande is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Endocrine and Autonomic Systems. According to data from OpenAlex, Onkar S. Dhande has authored 19 papers receiving a total of 963 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cellular and Molecular Neuroscience, 15 papers in Molecular Biology and 2 papers in Endocrine and Autonomic Systems. Recurrent topics in Onkar S. Dhande's work include Retinal Development and Disorders (13 papers), Neuroscience and Neuropharmacology Research (7 papers) and Photoreceptor and optogenetics research (6 papers). Onkar S. Dhande is often cited by papers focused on Retinal Development and Disorders (13 papers), Neuroscience and Neuropharmacology Research (7 papers) and Photoreceptor and optogenetics research (6 papers). Onkar S. Dhande collaborates with scholars based in United States, Japan and Paraguay. Onkar S. Dhande's co-authors include Andrew D. Huberman, Phong L. Nguyen, Rana N. El‐Danaf, Benjamin K. Stafford, Edward M. Callaway, Balaji Sriram, Alberto Cruz‐Martín, Fumitaka Osakada, Anirvan Ghosh and Michael C. Crair and has published in prestigious journals such as Nature, Neuron and Journal of Neuroscience.

In The Last Decade

Onkar S. Dhande

18 papers receiving 954 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Onkar S. Dhande United States 11 667 655 359 73 67 19 963
Keisuke Yonehara Denmark 17 862 1.3× 818 1.2× 615 1.7× 61 0.8× 59 0.9× 36 1.3k
Stuart Trenholm Canada 18 812 1.2× 754 1.2× 468 1.3× 43 0.6× 65 1.0× 26 1.2k
Ethan J. Mohns United States 10 394 0.6× 314 0.5× 330 0.9× 50 0.7× 86 1.3× 10 730
Timothy J. Burbridge United States 9 544 0.8× 386 0.6× 392 1.1× 42 0.6× 27 0.4× 10 847
Margaret A. MacNeil United States 13 838 1.3× 957 1.5× 310 0.9× 87 1.2× 93 1.4× 20 1.3k
Atomu Sawatari Australia 16 484 0.7× 396 0.6× 305 0.8× 110 1.5× 23 0.3× 27 853
Christine L. Torborg United States 9 697 1.0× 493 0.8× 225 0.6× 71 1.0× 23 0.3× 11 862
Rana N. El‐Danaf United States 15 872 1.3× 917 1.4× 542 1.5× 80 1.1× 239 3.6× 17 1.4k
Jena Yamada United States 9 599 0.9× 456 0.7× 166 0.5× 143 2.0× 37 0.6× 9 796
Ben K. Stafford United States 6 489 0.7× 452 0.7× 191 0.5× 53 0.7× 47 0.7× 7 682

Countries citing papers authored by Onkar S. Dhande

Since Specialization
Citations

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

Fields of papers citing papers by Onkar S. Dhande

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Onkar S. Dhande. 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 Onkar S. Dhande. The network helps show where Onkar S. Dhande may publish in the future.

Co-authorship network of co-authors of Onkar S. Dhande

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

All Works

19 of 19 papers shown
2.
Rege, Sanket, Arnaud Teichert, Onkar S. Dhande, et al.. (2023). CCR3 plays a role in murine age-related cognitive changes and T-cell infiltration into the brain. Communications Biology. 6(1). 292–292. 14 indexed citations
3.
Varadarajan, Supraja G., et al.. (2023). Postsynaptic neuronal activity promotes regeneration of retinal axons. Cell Reports. 42(5). 112476–112476. 7 indexed citations
4.
Kowal, Tia J., Onkar S. Dhande, Biao Wang, et al.. (2022). Distribution of prototypical primary cilia markers in subtypes of retinal ganglion cells. The Journal of Comparative Neurology. 530(12). 2176–2187. 6 indexed citations
5.
Alvarado, Jorge A., Onkar S. Dhande, Tia J. Kowal, et al.. (2020). Developmental distribution of primary cilia in the retinofugal visual pathway. The Journal of Comparative Neurology. 529(7). 1442–1455. 10 indexed citations
6.
Dhande, Onkar S., Benjamin K. Stafford, Katrin Franke, et al.. (2018). Molecular Fingerprinting of On–Off Direction-Selective Retinal Ganglion Cells Across Species and Relevance to Primate Visual Circuits. Journal of Neuroscience. 39(1). 78–95. 32 indexed citations
7.
Seabrook, Tania A., et al.. (2017). Strict Independence of Parallel and Poly-synaptic Axon-Target Matching during Visual Reflex Circuit Assembly. Cell Reports. 21(11). 3049–3064. 6 indexed citations
8.
Tang, Jonathan C. Y., Stephanie Rudolph, Onkar S. Dhande, et al.. (2015). Cell type–specific manipulation with GFP-dependent Cre recombinase. Nature Neuroscience. 18(9). 1334–1341. 56 indexed citations
9.
Sun, Lu, Hugh Cahill, Timour Al‐Khindi, et al.. (2015). Functional Assembly of Accessory Optic System Circuitry Critical for Compensatory Eye Movements. Neuron. 86(4). 971–984. 70 indexed citations
10.
Dhande, Onkar S., et al.. (2015). Contributions of Retinal Ganglion Cells to Subcortical Visual Processing and Behaviors. Annual Review of Vision Science. 1(1). 291–328. 105 indexed citations
11.
Cruz‐Martín, Alberto, Rana N. El‐Danaf, Fumitaka Osakada, et al.. (2014). A dedicated circuit links direction-selective retinal ganglion cells to the primary visual cortex. Nature. 507(7492). 358–361. 225 indexed citations
12.
Estevez, Maureen E., Lauren E. Quattrochi, Onkar S. Dhande, et al.. (2013). Form and function of the three ON-type direction-selective retinal ganglion cells in the Hoxd10 mouse. Investigative Ophthalmology & Visual Science. 54(15). 1298–1298. 2 indexed citations
13.
Dhande, Onkar S., Maureen E. Estevez, Lauren E. Quattrochi, et al.. (2013). Genetic Dissection of Retinal Inputs to Brainstem Nuclei Controlling Image Stabilization. Journal of Neuroscience. 33(45). 17797–17813. 128 indexed citations
14.
Dhande, Onkar S. & Andrew D. Huberman. (2013). Retinal ganglion cell maps in the brain: implications for visual processing. Current Opinion in Neurobiology. 24(1). 133–142. 139 indexed citations
15.
Dhande, Onkar S., Shivani Bhatt, Justin Elstrott, et al.. (2011). Role of adenylate cyclase 1 in retinofugal map development. The Journal of Comparative Neurology. 520(7). 1562–1583. 30 indexed citations
16.
Zhang, Jiayi, James B. Ackman, Onkar S. Dhande, & Michael C. Crair. (2011). Visualization and Manipulation of Neural Activity in the Developing Vertebrate Nervous System. Frontiers in Molecular Neuroscience. 4. 43–43. 5 indexed citations
17.
Dhande, Onkar S. & Michael C. Crair. (2011). Transfection of Mouse Retinal Ganglion Cells by <em>in vivo</em> Electroporation. Journal of Visualized Experiments. 5 indexed citations
18.
Dhande, Onkar S., Shivani Bhatt, Yueyi Zhang, et al.. (2011). Development of Single Retinofugal Axon Arbors in Normal and β2 Knock-Out Mice. Journal of Neuroscience. 31(9). 3384–3399. 93 indexed citations
19.
Dhande, Onkar S., Deepa Murali, Christina Thaller, et al.. (2008). Bone Morphogenetic Proteins, Eye Patterning, and Retinocollicular Map Formation in the Mouse. Journal of Neuroscience. 28(28). 7057–7067. 30 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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