Timothy J. Mosca

1.4k total citations
22 papers, 935 citations indexed

About

Timothy J. Mosca is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cell Biology. According to data from OpenAlex, Timothy J. Mosca has authored 22 papers receiving a total of 935 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cellular and Molecular Neuroscience, 12 papers in Molecular Biology and 11 papers in Cell Biology. Recurrent topics in Timothy J. Mosca's work include Neurobiology and Insect Physiology Research (15 papers), Cellular transport and secretion (10 papers) and Neuroscience and Neuropharmacology Research (4 papers). Timothy J. Mosca is often cited by papers focused on Neurobiology and Insect Physiology Research (15 papers), Cellular transport and secretion (10 papers) and Neuroscience and Neuropharmacology Research (4 papers). Timothy J. Mosca collaborates with scholars based in United States, Canada and China. Timothy J. Mosca's co-authors include Liqun Luo, Weizhe Hong, Thomas L. Schwarz, Vincenzo Favaloro, Vardhan S. Dani, Haig Keshishian, Robert A. Carrillo, Benjamin H. White, Irving E. Wang and David J. Luginbuhl and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Neuron.

In The Last Decade

Timothy J. Mosca

22 papers receiving 931 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Timothy J. Mosca United States 14 621 509 221 102 87 22 935
David J. Luginbuhl United States 16 546 0.9× 620 1.2× 227 1.0× 144 1.4× 140 1.6× 27 1.1k
Martin Schwärzel Germany 13 746 1.2× 521 1.0× 158 0.7× 144 1.4× 45 0.5× 20 1.0k
Carol M. Singh United States 13 864 1.4× 558 1.1× 231 1.0× 207 2.0× 108 1.2× 27 1.4k
Nina Vogt United States 14 437 0.7× 506 1.0× 293 1.3× 128 1.3× 54 0.6× 58 1.1k
Radhakrishnan Narayanan United States 11 620 1.0× 624 1.2× 280 1.3× 144 1.4× 51 0.6× 13 1.1k
Gaia Tavosanis Germany 20 610 1.0× 571 1.1× 427 1.9× 230 2.3× 73 0.8× 35 1.2k
Javier Morante Spain 15 836 1.3× 660 1.3× 175 0.8× 182 1.8× 94 1.1× 24 1.2k
Subhabrata Sanyal United States 23 767 1.2× 729 1.4× 298 1.3× 190 1.9× 117 1.3× 35 1.5k
Jaeda Coutinho‐Budd United States 11 354 0.6× 548 1.1× 289 1.3× 147 1.4× 63 0.7× 20 1.0k
Harald Depner Germany 12 743 1.2× 652 1.3× 520 2.4× 89 0.9× 34 0.4× 16 1.1k

Countries citing papers authored by Timothy J. Mosca

Since Specialization
Citations

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

Fields of papers citing papers by Timothy J. Mosca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Timothy J. Mosca. 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 Timothy J. Mosca. The network helps show where Timothy J. Mosca may publish in the future.

Co-authorship network of co-authors of Timothy J. Mosca

This figure shows the co-authorship network connecting the top 25 collaborators of Timothy J. Mosca. A scholar is included among the top collaborators of Timothy J. Mosca 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 Timothy J. Mosca. Timothy J. Mosca 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.
Dresselhaus, Erica C., Kathryn P. Harris, Kate Koles, et al.. (2024). ESCRT disruption provides evidence against trans-synaptic signaling via extracellular vesicles. The Journal of Cell Biology. 223(9). 2 indexed citations
2.
Bruckner, Joseph, et al.. (2024). Neuronal LRP4 directs the development, maturation and cytoskeletal organization of Drosophila peripheral synapses. Development. 151(11). 2 indexed citations
3.
Parisi, Michael, et al.. (2023). A conditional strategy for cell-type-specific labeling of endogenous excitatory synapses in Drosophila. Cell Reports Methods. 3(5). 100477–100477. 7 indexed citations
4.
Parisi, Michael, et al.. (2023). SynLight: a bicistronic strategy for simultaneous active zone and cell labeling in the Drosophila nervous system. G3 Genes Genomes Genetics. 13(11). 2 indexed citations
5.
Mosca, Timothy J., et al.. (2022). Genetic regulation of central synapse formation and organization in Drosophila melanogaster. Genetics. 221(3). 5 indexed citations
6.
Restrepo, Lucas, et al.. (2022). γ-secretase promotes Drosophila postsynaptic development through the cleavage of a Wnt receptor. Developmental Cell. 57(13). 1643–1660.e7. 17 indexed citations
7.
Restrepo, Lucas, et al.. (2022). Synaptic Development in Diverse Olfactory Neuron Classes Uses Distinct Temporal and Activity-Related Programs. Journal of Neuroscience. 43(1). 28–55. 8 indexed citations
8.
Freund, Emily, Lucas Restrepo, Huanhuan Qiao, et al.. (2020). Zinc Finger RNA-Binding Protein Zn72D Regulates ADAR-Mediated RNA Editing in Neurons. Cell Reports. 31(7). 107654–107654. 18 indexed citations
9.
Mosca, Timothy J., et al.. (2019). The Tenets of Teneurin: Conserved Mechanisms Regulate Diverse Developmental Processes in the Drosophila Nervous System. Frontiers in Neuroscience. 13. 27–27. 12 indexed citations
10.
Mosca, Timothy J., David J. Luginbuhl, Irving E. Wang, & Liqun Luo. (2017). Presynaptic LRP4 promotes synapse number and function of excitatory CNS neurons. eLife. 6. 47 indexed citations
11.
Beier, Kevin T., Christina K. Kim, Paul Hoerbelt, et al.. (2017). Rabies screen reveals GPe control of cocaine-triggered plasticity. Nature. 549(7672). 345–350. 77 indexed citations
12.
Kamimura, Keisuke, et al.. (2016). The Strip-Hippo Pathway Regulates Synaptic Terminal Formation by Modulating Actin Organization at the Drosophila Neuromuscular Synapses. Cell Reports. 16(9). 2289–2297. 32 indexed citations
13.
Mosca, Timothy J.. (2015). On the Teneurin track: a new synaptic organization molecule emerges. Frontiers in Cellular Neuroscience. 9. 204–204. 51 indexed citations
14.
Mosca, Timothy J. & Liqun Luo. (2014). Synaptic organization of the Drosophila antennal lobe and its regulation by the Teneurins. eLife. 3. e03726–e03726. 77 indexed citations
15.
Yu, Xiaomeng, Timothy J. Mosca, Tal Iram, et al.. (2013). Plum, an Immunoglobulin Superfamily Protein, Regulates Axon Pruning by Facilitating TGF-β Signaling. Neuron. 78(3). 456–468. 47 indexed citations
16.
Mosca, Timothy J., Weizhe Hong, Vardhan S. Dani, Vincenzo Favaloro, & Liqun Luo. (2012). Trans-synaptic Teneurin signalling in neuromuscular synapse organization and target choice. Nature. 484(7393). 237–241. 163 indexed citations
17.
Hong, Weizhe, Timothy J. Mosca, & Liqun Luo. (2012). Teneurins instruct synaptic partner matching in an olfactory map. Nature. 484(7393). 201–207. 179 indexed citations
18.
Mosca, Timothy J. & Thomas L. Schwarz. (2010). Drosophila Importin-α2 Is Involved in Synapse, Axon and Muscle Development. PLoS ONE. 5(12). e15223–e15223. 15 indexed citations
19.
20.
Mosca, Timothy J. & Thomas L. Schwarz. (2010). The nuclear import of Frizzled2-C by Importins-β11 and α2 promotes postsynaptic development. Nature Neuroscience. 13(8). 935–943. 74 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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