Marco Dal Maschio

2.8k total citations
48 papers, 1.8k citations indexed

About

Marco Dal Maschio is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Cell Biology. According to data from OpenAlex, Marco Dal Maschio has authored 48 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Cellular and Molecular Neuroscience, 14 papers in Cognitive Neuroscience and 13 papers in Cell Biology. Recurrent topics in Marco Dal Maschio's work include Neuroscience and Neural Engineering (14 papers), Neural dynamics and brain function (12 papers) and Zebrafish Biomedical Research Applications (12 papers). Marco Dal Maschio is often cited by papers focused on Neuroscience and Neural Engineering (14 papers), Neural dynamics and brain function (12 papers) and Zebrafish Biomedical Research Applications (12 papers). Marco Dal Maschio collaborates with scholars based in Italy, Germany and United States. Marco Dal Maschio's co-authors include Herwig Baier, Fabio Benfenati, Diego Ghezzi, Fumi Kubo, Tommaso Fellin, Thomas O. Helmbrecht, Joseph C. Donovan, Guglielmo Lanzani, Maria Rosa Antognazza and Erica Lanzarini and has published in prestigious journals such as Nature Communications, Neuron and Nature Neuroscience.

In The Last Decade

Marco Dal Maschio

45 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marco Dal Maschio Italy 21 923 592 497 458 243 48 1.8k
Thomas Frank Germany 16 445 0.5× 534 0.9× 523 1.1× 296 0.6× 174 0.7× 26 1.6k
Gareth B. Miles United Kingdom 23 979 1.1× 314 0.5× 866 1.7× 367 0.8× 314 1.3× 53 2.3k
Alexander A. Chubykin United States 19 1.1k 1.2× 645 1.1× 923 1.9× 305 0.7× 92 0.4× 34 2.0k
Min Jee Jang South Korea 15 1.0k 1.1× 339 0.6× 1.2k 2.5× 190 0.4× 341 1.4× 28 2.5k
Wei Xiong China 26 706 0.8× 410 0.7× 1.5k 3.0× 208 0.5× 373 1.5× 109 3.1k
Giuliano Iurilli Italy 12 637 0.7× 699 1.2× 169 0.3× 107 0.2× 165 0.7× 14 1.4k
Daniel R. Hochbaum United States 11 842 0.9× 397 0.7× 774 1.6× 53 0.1× 127 0.5× 17 1.6k
Aaron Marley United States 11 885 1.0× 237 0.4× 987 2.0× 301 0.7× 62 0.3× 12 1.6k
Ann M. Rajnicek United Kingdom 21 1.5k 1.6× 186 0.3× 1.5k 3.0× 345 0.8× 942 3.9× 40 3.1k
Thierry Nieus Italy 25 1.3k 1.4× 866 1.5× 448 0.9× 106 0.2× 249 1.0× 50 1.8k

Countries citing papers authored by Marco Dal Maschio

Since Specialization
Citations

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

Fields of papers citing papers by Marco Dal Maschio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marco Dal Maschio. 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 Marco Dal Maschio. The network helps show where Marco Dal Maschio may publish in the future.

Co-authorship network of co-authors of Marco Dal Maschio

This figure shows the co-authorship network connecting the top 25 collaborators of Marco Dal Maschio. A scholar is included among the top collaborators of Marco Dal Maschio 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 Marco Dal Maschio. Marco Dal Maschio 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.
Nicoletti, Giorgio, Matteo Bruzzone, Samir Suweis, Marco Dal Maschio, & Daniel Maria Busiello. (2025). Optimal information gain at the onset of habituation to repeated stimuli. eLife. 13.
2.
Gatto, Elia, et al.. (2024). Exploring the Importance of Environmental Complexity for Newly Hatched Zebrafish. Animals. 14(7). 1031–1031. 1 indexed citations
3.
Bruzzone, Matteo, et al.. (2024). Optokinetic response in D. melanogaster reveals the nature of common repellent odorants. Scientific Reports. 14(1). 22277–22277.
4.
5.
Svara, Fabian, Dominique Förster, Fumi Kubo, et al.. (2022). Automated synapse-level reconstruction of neural circuits in the larval zebrafish brain. Nature Methods. 19(11). 1357–1366. 49 indexed citations
6.
Maschio, Marco Dal, et al.. (2021). Aberrant Patterns of Sensory-Evoked Activity in the Olfactory Bulb of LRRK2 Knockout Mice. Cells. 10(11). 3212–3212. 4 indexed citations
7.
Bruzzone, Matteo, et al.. (2021). Whole brain functional recordings at cellular resolution in zebrafish larvae with 3D scanning multiphoton microscopy. Scientific Reports. 11(1). 11048–11048. 20 indexed citations
8.
Maschietto, Marta, Marco Dal Maschio, Stefano Girardi, & Stefano Vassanelli. (2021). In situ electroporation of mammalian cells through SiO2 thin film capacitive microelectrodes. Scientific Reports. 11(1). 15126–15126. 6 indexed citations
9.
Fernandes, António M., Joseph C. Donovan, Johannes Larsch, et al.. (2020). Neural circuitry for stimulus selection in the zebrafish visual system. Neuron. 109(5). 805–822.e6. 36 indexed citations
10.
Maschio, Marco Dal, et al.. (2020). An Optical Illusion Pinpoints an Essential Circuit Node for Global Motion Processing. Neuron. 108(4). 722–734.e5. 23 indexed citations
11.
Helmbrecht, Thomas O., et al.. (2018). Topography of a Visuomotor Transformation. Neuron. 100(6). 1429–1445.e4. 74 indexed citations
12.
Förster, Dominique, Marco Dal Maschio, Eva Laurell, & Herwig Baier. (2017). An optogenetic toolbox for unbiased discovery of functionally connected cells in neural circuits. Nature Communications. 8(1). 116–116. 46 indexed citations
13.
Szczurkowska, Joanna, Andrzej Cwetsch, Marco Dal Maschio, et al.. (2016). Targeted in vivo genetic manipulation of the mouse or rat brain by in utero electroporation with a triple-electrode probe. Nature Protocols. 11(3). 399–412. 61 indexed citations
14.
Maschio, Marco Dal, et al.. (2012). Two-Photon Calcium Imaging in the Intact Brain. Advances in experimental medicine and biology. 740. 83–102. 9 indexed citations
15.
Maschio, Marco Dal, Diego Ghezzi, Guillaume Bony, et al.. (2012). High-performance and site-directed in utero electroporation by a triple-electrode probe. Nature Communications. 3(1). 960–960. 103 indexed citations
16.
Quarta, Marco, Michele Scorzeto, Marta Canato, et al.. (2011). The modulation of myogenic cells differentiation using a semiconductor-muscle junction. Biomaterials. 32(18). 4228–4237. 4 indexed citations
17.
Halassa, Michael M., Marco Dal Maschio, Riccardo Beltramo, et al.. (2010). Integrated brain circuits: Neuron-astrocyte interaction in sleep-related rhythmogenesis. CINECA IRIS Institutial Research Information System (University of Genoa). 19 indexed citations
18.
19.
Cellere, G., et al.. (2007). Electrical measurement of adhesion and viability of living cells with a silicon chip. 90. 855–858. 1 indexed citations
20.
Bisello, D., Marco Dal Maschio, P. Giubilato, et al.. (2004). A novel sensor for ion electron emission microscopy. Nuclear Instruments and Methods in Physics Research Section B Beam Interactions with Materials and Atoms. 219-220. 1000–1004. 3 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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