Daniel L. Rocca

528 total citations
9 papers, 421 citations indexed

About

Daniel L. Rocca is a scholar working on Cell Biology, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Daniel L. Rocca has authored 9 papers receiving a total of 421 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cell Biology, 5 papers in Molecular Biology and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Daniel L. Rocca's work include Neuroscience and Neuropharmacology Research (4 papers), Cellular transport and secretion (4 papers) and Ubiquitin and proteasome pathways (3 papers). Daniel L. Rocca is often cited by papers focused on Neuroscience and Neuropharmacology Research (4 papers), Cellular transport and secretion (4 papers) and Ubiquitin and proteasome pathways (3 papers). Daniel L. Rocca collaborates with scholars based in United Kingdom, Italy and South Korea. Daniel L. Rocca's co-authors include Jonathan G. Hanley, Stéphane Martin, Emma Jenkins, Jeremy M. Henley, Kevin A. Wilkinson, Tim J. Craig, Fatima Girach, Nadia Jaafari, Mascia Amici and Elena Blanco‐Suárez and has published in prestigious journals such as Neuron, Nature Cell Biology and Scientific Reports.

In The Last Decade

Daniel L. Rocca

9 papers receiving 419 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel L. Rocca United Kingdom 9 274 169 159 52 29 9 421
Ksénia Oguievetskaia France 9 242 0.9× 142 0.8× 188 1.2× 54 1.0× 44 1.5× 12 458
Wolfgang Wagner Germany 13 462 1.7× 245 1.4× 316 2.0× 44 0.8× 52 1.8× 17 694
Jason A. Junge United States 10 270 1.0× 158 0.9× 72 0.5× 39 0.8× 34 1.2× 17 454
Michael S. Fernandopulle United States 8 496 1.8× 99 0.6× 134 0.8× 62 1.2× 78 2.7× 9 693
Yunrui Du United States 8 521 1.9× 158 0.9× 456 2.9× 79 1.5× 38 1.3× 8 771
Dennis M. Defoe United States 16 472 1.7× 202 1.2× 123 0.8× 42 0.8× 15 0.5× 27 655
Emma Jenkins United States 7 217 0.8× 120 0.7× 106 0.7× 24 0.5× 23 0.8× 12 393
Atsuko Honda Japan 13 238 0.9× 131 0.8× 124 0.8× 41 0.8× 23 0.8× 16 397
Xingxiu Pan Netherlands 11 229 0.8× 109 0.6× 236 1.5× 25 0.5× 33 1.1× 14 410

Countries citing papers authored by Daniel L. Rocca

Since Specialization
Citations

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

Fields of papers citing papers by Daniel L. Rocca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel L. Rocca. 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 Daniel L. Rocca. The network helps show where Daniel L. Rocca may publish in the future.

Co-authorship network of co-authors of Daniel L. Rocca

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

All Works

9 of 9 papers shown
1.
Napolitano, Sara, Elisa Pedone, Daniel L. Rocca, et al.. (2018). Regulation of Gene Expression and Signaling Pathway Activity in Mammalian Cells by Automated Microfluidics Feedback Control. ACS Synthetic Biology. 7(11). 2558–2565. 38 indexed citations
2.
Rocca, Daniel L., Kevin A. Wilkinson, & Jeremy M. Henley. (2017). SUMOylation of FOXP1 regulates transcriptional repression via CtBP1 to drive dendritic morphogenesis. Scientific Reports. 7(1). 877–877. 38 indexed citations
3.
Rocca, Daniel L. & Jonathan G. Hanley. (2014). PICK1 links AMPA receptor stimulation to Cdc42. Neuroscience Letters. 585. 155–159. 11 indexed citations
4.
Rocca, Daniel L., Mascia Amici, Anna Antoniou, et al.. (2013). The Small GTPase Arf1 Modulates Arp2/3-Mediated Actin Polymerization via PICK1 to Regulate Synaptic Plasticity. Neuron. 79(2). 293–307. 73 indexed citations
5.
Girach, Fatima, Tim J. Craig, Daniel L. Rocca, & Jeremy M. Henley. (2013). RIM1α SUMOylation Is Required for Fast Synaptic Vesicle Exocytosis. Cell Reports. 5(5). 1294–1301. 48 indexed citations
6.
Rocca, Daniel L., et al.. (2013). Genetic variation of resistance of the cultivated strawberry to crown rot caused by Phytophthora cactorum. Journal of Berry Research. 3(2). 79–91. 8 indexed citations
7.
Kantamneni, Sriharsha, Kevin A. Wilkinson, Nadia Jaafari, et al.. (2011). Activity-dependent SUMOylation of the brain-specific scaffolding protein GISP. Biochemical and Biophysical Research Communications. 409(4). 657–662. 16 indexed citations
8.
González‐González, Inmaculada M., Filip A. Konopacki, Daniel L. Rocca, et al.. (2011). Kainate receptor trafficking. 1(1). 31–44. 11 indexed citations
9.
Rocca, Daniel L., Stéphane Martin, Emma Jenkins, & Jonathan G. Hanley. (2008). Inhibition of Arp2/3-mediated actin polymerization by PICK1 regulates neuronal morphology and AMPA receptor endocytosis. Nature Cell Biology. 10(3). 259–271. 178 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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