Sandhya P. Koushika

3.5k total citations
52 papers, 2.6k citations indexed

About

Sandhya P. Koushika is a scholar working on Cell Biology, Molecular Biology and Aging. According to data from OpenAlex, Sandhya P. Koushika has authored 52 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Cell Biology, 27 papers in Molecular Biology and 27 papers in Aging. Recurrent topics in Sandhya P. Koushika's work include Genetics, Aging, and Longevity in Model Organisms (27 papers), Cellular transport and secretion (18 papers) and Microtubule and mitosis dynamics (15 papers). Sandhya P. Koushika is often cited by papers focused on Genetics, Aging, and Longevity in Model Organisms (27 papers), Cellular transport and secretion (18 papers) and Microtubule and mitosis dynamics (15 papers). Sandhya P. Koushika collaborates with scholars based in India, United States and Japan. Sandhya P. Koushika's co-authors include Michael L. Nonet, Yamuna Krishnan, Sunaina Surana, K. Andrew White, Susan Parrish, Julie Ahringer, Ronald H.A. Plasterk, Marcel Tijsterman, Andrew Fire and Femke Simmer 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

Sandhya P. Koushika

49 papers receiving 2.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sandhya P. Koushika India 24 1.7k 885 757 506 334 52 2.6k
Marc Hammarlund United States 29 1.5k 0.9× 1.1k 1.2× 716 0.9× 943 1.9× 394 1.2× 47 2.8k
Keiko Gengyo‐Ando Japan 36 2.0k 1.1× 1.3k 1.5× 1.0k 1.3× 810 1.6× 511 1.5× 70 3.8k
Harald Hutter Canada 30 1.4k 0.8× 1.6k 1.8× 451 0.6× 393 0.8× 373 1.1× 62 2.8k
Massimo A. Hilliard Australia 28 1.0k 0.6× 1.3k 1.4× 390 0.5× 750 1.5× 315 0.9× 44 2.6k
Erik A. Lundquist United States 24 980 0.6× 881 1.0× 578 0.8× 678 1.3× 138 0.4× 56 1.8k
Alexandr Goncharov United States 20 888 0.5× 816 0.9× 543 0.7× 521 1.0× 138 0.4× 24 1.7k
Hannes E. Bülow United States 26 1.2k 0.7× 889 1.0× 829 1.1× 570 1.1× 182 0.5× 50 2.5k
Christopher Rongo United States 23 1.4k 0.8× 964 1.1× 610 0.8× 498 1.0× 292 0.9× 44 2.3k
Stefan Eimer Germany 32 1.8k 1.1× 522 0.6× 988 1.3× 862 1.7× 482 1.4× 51 3.2k
Noelle D. Dwyer United States 18 1.8k 1.0× 559 0.6× 678 0.9× 618 1.2× 105 0.3× 24 2.9k

Countries citing papers authored by Sandhya P. Koushika

Since Specialization
Citations

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

Fields of papers citing papers by Sandhya P. Koushika

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sandhya P. Koushika. 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 Sandhya P. Koushika. The network helps show where Sandhya P. Koushika may publish in the future.

Co-authorship network of co-authors of Sandhya P. Koushika

This figure shows the co-authorship network connecting the top 25 collaborators of Sandhya P. Koushika. A scholar is included among the top collaborators of Sandhya P. Koushika 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 Sandhya P. Koushika. Sandhya P. Koushika 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.
Kucherak, Oleksandr A., Andrey S. Klymchenko, Sandhya P. Koushika, et al.. (2025). A cell-permeable fluorescent probe reveals temporally diverse PI(4,5)P2 dynamics evoked by distinct GPCR agonists in neurons. Chemical Science. 16(24). 10970–10982.
2.
Koushika, Sandhya P., et al.. (2025). Physical Confinement Regulates Transitions in Nematode Motility. GoeScholar The Publication Server of the Georg-August-Universität Göttingen (Georg-August-Universität Göttingen). 3(4).
3.
Koushika, Sandhya P., et al.. (2024). KLP-7/Kinesin-13 orchestrates axon-dendrite checkpoints for polarized trafficking in neurons. Molecular Biology of the Cell. 35(9). ar115–ar115. 1 indexed citations
4.
Grant, Barth D., et al.. (2024). LRK-1/LRRK2 and AP-3 regulate trafficking of synaptic vesicle precursors through active zone protein SYD-2/Liprin-α. PLoS Genetics. 20(5). e1011253–e1011253. 4 indexed citations
5.
Murthy, Kausalya, et al.. (2023). Transport of synaptic vesicles is modulated by vesicular reversals and stationary cargo clusters. Journal of Cell Science. 136(12). 2 indexed citations
6.
Chakraborty, Kasturi, Palapuravan Anees, Sunaina Surana, et al.. (2021). Tissue-specific targeting of DNA nanodevices in a multicellular living organism. eLife. 10. 11 indexed citations
7.
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Dixit, Anubhuti, et al.. (2020). Neuronal control of lipid metabolism by STR‐2 G protein‐coupled receptor promotes longevity in Caenorhabditis elegans. Aging Cell. 19(6). e13160–e13160. 18 indexed citations
10.
Murthy, Kausalya, et al.. (2017). Cargo crowding at actin‐rich regions along axons causes local traffic jams. Traffic. 19(3). 166–181. 26 indexed citations
11.
Koushika, Sandhya P., et al.. (2017). let-7 miRNA controls CED-7 homotypic adhesion and EFF-1–mediated axonal self-fusion to restore touch sensation following injury. Proceedings of the National Academy of Sciences. 114(47). E10206–E10215. 29 indexed citations
12.
Kowalski, Jennifer R., et al.. (2012). The kinesin-3 family motor KLP-4 regulates anterograde trafficking of GLR-1 glutamate receptors in the ventral nerve cord ofCaenorhabditis elegans. Molecular Biology of the Cell. 23(18). 3647–3662. 27 indexed citations
13.
Mondal, Sudip, et al.. (2012). Simple Microfluidic Devices for <em>in vivo</em> Imaging of <em>C. elegans</em>, <em>Drosophila</em> and Zebrafish. Journal of Visualized Experiments. 26 indexed citations
14.
Fatouros, Chronis, Ghulam Jeelani Pir, Jacek Biernat, et al.. (2012). Inhibition of tau aggregation in a novel Caenorhabditis elegans model of tauopathy mitigates proteotoxicity. Human Molecular Genetics. 21(16). 3587–3603. 148 indexed citations
15.
Surana, Sunaina, et al.. (2011). An autonomous DNA nanomachine maps spatiotemporal pH changes in a multicellular living organism. Nature Communications. 2(1). 340–340. 222 indexed citations
16.
Kumar, Jitendra, Bikash Choudhary, Raghu Metpally, et al.. (2010). The Caenorhabditis elegans Kinesin-3 Motor UNC-104/KIF1A Is Degraded upon Loss of Specific Binding to Cargo. PLoS Genetics. 6(11). e1001200–e1001200. 65 indexed citations
17.
Koushika, Sandhya P., et al.. (2004). Mutations in Caenorhabditis elegans Cytoplasmic Dynein Components Reveal Specificity of Neuronal Retrograde Cargo. Journal of Neuroscience. 24(16). 3907–3916. 89 indexed citations
18.
Koushika, Sandhya P., Janet E. Richmond, Gayla Hadwiger, et al.. (2001). A post-docking role for active zone protein Rim. Nature Neuroscience. 4(10). 997–1005. 257 indexed citations
19.
Koushika, Sandhya P. & Michael L. Nonet. (2000). Sorting and transport in C. elegans: a model system with a sequenced genome. Current Opinion in Cell Biology. 12(4). 517–523. 27 indexed citations
20.
Koushika, Sandhya P., et al.. (1996). ELAV, a Drosophila neuron-specific protein, mediates the generation of an alternatively spliced neural protein isoform. Current Biology. 6(12). 1634–1641. 147 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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