Pragya Goel

1.3k total citations
24 papers, 729 citations indexed

About

Pragya Goel is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cell Biology. According to data from OpenAlex, Pragya Goel has authored 24 papers receiving a total of 729 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Cellular and Molecular Neuroscience, 14 papers in Molecular Biology and 10 papers in Cell Biology. Recurrent topics in Pragya Goel's work include Neurobiology and Insect Physiology Research (16 papers), Neuroscience and Neuropharmacology Research (9 papers) and Cellular transport and secretion (9 papers). Pragya Goel is often cited by papers focused on Neurobiology and Insect Physiology Research (16 papers), Neuroscience and Neuropharmacology Research (9 papers) and Cellular transport and secretion (9 papers). Pragya Goel collaborates with scholars based in United States, Germany and Bulgaria. Pragya Goel's co-authors include Dion Dickman, Changliang Liu, Pascal S. Kaeser, Xiling Li, Stephan J. Sigrist, Mathias A. Böhme, Catherine Chen, Alexander M. Walter, Martin Lehmann and Christopher Buser 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

Pragya Goel

23 papers receiving 725 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pragya Goel United States 14 542 381 205 132 45 24 729
Christian Pawlu Germany 4 564 1.0× 444 1.2× 342 1.7× 80 0.6× 41 0.9× 4 863
Yulia Akbergenova United States 19 609 1.1× 622 1.6× 550 2.7× 70 0.5× 45 1.0× 26 977
Shanker Karunanithi Australia 18 766 1.4× 576 1.5× 334 1.6× 120 0.9× 65 1.4× 30 1.1k
Cordelia Imig Germany 16 542 1.0× 634 1.7× 471 2.3× 86 0.7× 19 0.4× 22 959
Radhakrishnan Narayanan United States 11 620 1.1× 624 1.6× 280 1.4× 120 0.9× 27 0.6× 13 1.1k
Timothy J. Mosca United States 14 621 1.1× 509 1.3× 221 1.1× 66 0.5× 51 1.1× 22 935
Sidney Cambridge Germany 14 718 1.3× 609 1.6× 109 0.5× 223 1.7× 12 0.3× 24 1.3k
Chad P. Grabner United States 17 616 1.1× 637 1.7× 281 1.4× 174 1.3× 9 0.2× 23 999
Richard Sando United States 15 628 1.2× 830 2.2× 186 0.9× 120 0.9× 25 0.6× 22 1.2k
Martin Schwärzel Germany 13 746 1.4× 521 1.4× 158 0.8× 59 0.4× 57 1.3× 20 1.0k

Countries citing papers authored by Pragya Goel

Since Specialization
Citations

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

Fields of papers citing papers by Pragya Goel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pragya Goel

This figure shows the co-authorship network connecting the top 25 collaborators of Pragya Goel. A scholar is included among the top collaborators of Pragya Goel 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 Pragya Goel. Pragya Goel 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.
Perry, Sarah, Christine Y. Chen, Jiawen Chen, et al.. (2025). Nonionic signaling rapidly remodels postsynaptic DLG to induce retrograde homeostatic plasticity. Proceedings of the National Academy of Sciences. 122(48). e2502997122–e2502997122.
2.
Goel, Pragya, et al.. (2023). Excess glutamate release triggers subunit-specific homeostatic receptor scaling. Cell Reports. 42(7). 112775–112775. 10 indexed citations
3.
4.
Perry, Sarah L., Chun Chien, Pragya Goel, et al.. (2022). A glutamate receptor C-tail recruits CaMKII to suppress retrograde homeostatic signaling. Nature Communications. 13(1). 7656–7656. 8 indexed citations
5.
Goel, Pragya & Dion Dickman. (2021). Synaptic homeostats: latent plasticity revealed at the Drosophila neuromuscular junction. Cellular and Molecular Life Sciences. 78(7). 3159–3179. 23 indexed citations
6.
Liu, Changliang, Pragya Goel, & Pascal S. Kaeser. (2021). Spatial and temporal scales of dopamine transmission. Nature reviews. Neuroscience. 22(6). 345–358. 161 indexed citations
7.
Goel, Pragya, et al.. (2020). The auxiliary glutamate receptor subunit dSol-1 promotes presynaptic neurotransmitter release and homeostatic potentiation. Proceedings of the National Academy of Sciences. 117(41). 25830–25839. 10 indexed citations
8.
Perry, Sarah L., Pragya Goel, Christopher Buser, et al.. (2020). Developmental arrest of Drosophila larvae elicits presynaptic depression and enables prolonged studies of neurodegeneration. Development. 147(10). 8 indexed citations
9.
Goel, Pragya, et al.. (2020). Distinct Target-Specific Mechanisms Homeostatically Stabilize Transmission at Pre- and Post-synaptic Compartments. Frontiers in Cellular Neuroscience. 14. 196–196. 10 indexed citations
10.
Goel, Pragya, Mathias A. Böhme, Martin Lehmann, et al.. (2019). Homeostatic scaling of active zone scaffolds maintains global synaptic strength. The Journal of Cell Biology. 218(5). 1706–1724. 50 indexed citations
11.
Goel, Pragya, et al.. (2019). A Screen for Synaptic Growth Mutants Reveals Mechanisms That Stabilize Synaptic Strength. Journal of Neuroscience. 39(21). 4051–4065. 23 indexed citations
12.
Li, Xiling, Sarah L. Perry, Qiuling Li, et al.. (2019). Cul3 and insomniac are required for rapid ubiquitination of postsynaptic targets and retrograde homeostatic signaling. Nature Communications. 10(1). 2998–2998. 36 indexed citations
13.
Gratz, Scott J., Pragya Goel, Joseph Bruckner, et al.. (2019). Endogenous tagging reveals differential regulation of Ca 2+ channels at single AZs during presynaptic homeostatic potentiation and depression. Journal of Neuroscience. 39(13). 3068–18. 62 indexed citations
14.
Goel, Pragya, Xiling Li, & Dion Dickman. (2019). Estimation of the Readily Releasable Synaptic Vesicle Pool at the Drosophila Larval Neuromuscular Junction. BIO-PROTOCOL. 9(1). 13 indexed citations
15.
Goel, Pragya & Dion Dickman. (2018). Distinct homeostatic modulations stabilize reduced postsynaptic receptivity in response to presynaptic DLK signaling. Nature Communications. 9(1). 27 indexed citations
16.
Li, Xiling, et al.. (2018). Synapse-specific and compartmentalized expression of presynaptic homeostatic potentiation. eLife. 7. 36 indexed citations
17.
Li, Xiling, et al.. (2018). A Glutamate Homeostat Controls the Presynaptic Inhibition of Neurotransmitter Release. Cell Reports. 23(6). 1716–1727. 32 indexed citations
18.
Goel, Pragya, Xiling Li, & Dion Dickman. (2017). Disparate Postsynaptic Induction Mechanisms Ultimately Converge to Drive the Retrograde Enhancement of Presynaptic Efficacy. Cell Reports. 21(9). 2339–2347. 43 indexed citations
19.
Goel, Pragya, et al.. (2013). Uterine granuloma involving the myometrium: Two case reports. Journal of Mid-life Health. 4(1). 60–60. 2 indexed citations
20.
Gupta, Manu & Pragya Goel. (2010). Normalized Microarrays for Analysis and Prediction (NMAP): An SOA Solution for Biomedical Research.. 140–145. 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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