Marco Dal Maschio

2.8k citations
48 papers · 1.8k indexed · h-index 21
Topics
Neuroscience and Neural Engineering (14 papers)Neural dynamics and brain function (12 papers)Zebrafish Biomedical Research Applications (12 papers)

In The Last Decade

Marco Dal Maschio

45 papers receiving 1.8k citations

Peers

Marco Dal Maschio
Comparison fields: 5 of 123
  • Cellular and Molecular Neuroscience 923
  • Cognitive Neuroscience 592
  • Molecular Biology 497
  • Cell Biology 458
  • Biomedical Engineering 243
Replace Aristides B. Arrenberg with:
Aristides B. Arrenberg Germany
Kazuki Horikawa Japan
Min Jee Jang South Korea
Masakazu Agetsuma Japan
Timothy Dunn United States
Hyung-Bae Kwon United States
Takuma Mori Japan
Emre Aksay United States
Jesse D. Marshall United States
Stéphanie Bissière Singapore
Marco Dal Maschio relative to Aristides B. Arrenberg Germany Aristides B. Arrenberg's profile →
Citations per field
00.5×1.6×
Aristides B. Arrenberg · 1×
Citations per year

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
#WorkIndexed citations
1 1
2 0
3 4
4 0
5 49
6 6
7 20
8 36
9 23
10 74
11 104
12 46
13 61
14 9
15 103
16 4
17 241
18 19
19 41
20 55

About Marco Dal Maschio

Marco Dal Maschio is a scholar working on Biophysics, Cellular and Molecular Neuroscience and Biotechnology, having authored 48 papers that have together received 1.8k indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (14 papers), Neural dynamics and brain function (12 papers) and Zebrafish Biomedical Research Applications (12 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (923 citations), Biophysics (202 citations) and Cognitive Neuroscience (592 citations). Marco Dal Maschio has collaborated with scholars based in Italy, Germany and United States. Frequent co-authors include Herwig Baier, Fabio Benfenati, Diego Ghezzi, Fumi Kubo, Tommaso Fellin, Joseph C. Donovan, Thomas O. Helmbrecht, Maria Rosa Antognazza, Guglielmo Lanzani and Erica Lanzarini. Their work appears in journals such as Nature Communications, Neuron and Nature Neuroscience.

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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