Domenico Zacà

1.2k citations
29 papers · 888 indexed · h-index 15
Topics
Advanced MRI Techniques and Applications (19 papers)Advanced Neuroimaging Techniques and Applications (14 papers)Functional Brain Connectivity Studies (11 papers)

In The Last Decade

Domenico Zacà

27 papers receiving 887 citations

Peers

Domenico Zacà
Comparison fields: 5 of 60
  • Radiology, Nuclear Medicine and Imaging 717
  • Cognitive Neuroscience 391
  • Materials Chemistry 249
  • Biophysics 110
  • Genetics 68
Replace Geoffrey Sobering with:
Geoffrey Sobering United States
Francesca Frijia Italy
Nicholas P. Blockley United Kingdom
Ralph Noeske Germany
Heidi Gröhn Finland
Peter CM van Zijl United States
Sina Straub Germany
Amy Robichaux‐Viehoever United States
Zhuozhi Dai China
Eric Giacomini France
Domenico Zacà relative to Geoffrey Sobering United States Geoffrey Sobering's profile →
Citations per field
00.5×10×20×34×
Geoffrey Sobering · 1×
Citations per year

Countries citing papers authored by Domenico Zacà

Since Specialization
Citations

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

Fields of papers citing papers by Domenico Zacà

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Domenico Zacà

This figure shows the co-authorship network connecting the top 25 collaborators of Domenico Zacà. A scholar is included among the top collaborators of Domenico Zacà 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 Domenico Zacà. Domenico Zacà 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 3
3 9
4 9
5 6
6 16
7 8
8 5
9 0
10 14
11 27
12 23
13 8
14 80
15 44
16 266
17 50
18 39
19 45
20 15

About Domenico Zacà

Domenico Zacà is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Genetics, having authored 29 papers that have together received 888 indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (19 papers), Advanced Neuroimaging Techniques and Applications (14 papers) and Functional Brain Connectivity Studies (11 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (717 citations), Cognitive Neuroscience (391 citations) and Biophysics (110 citations). Domenico Zacà has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Jay J. Pillai, Jorge Jovicich, Richard A.E. Edden, Jun Hua, Jiadi Xu, Jinyuan Zhou, Michael T. McMahon, Craig Jones, Nikita Oskolkov and Peter C.M. van Zijl. Their work appears in journals such as PLoS ONE, NeuroImage and Journal of neurosurgery.

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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