Dafna Ben Bashat

5.0k total citations
117 papers, 3.3k citations indexed

About

Dafna Ben Bashat is a scholar working on Radiology, Nuclear Medicine and Imaging, Pediatrics, Perinatology and Child Health and Genetics. According to data from OpenAlex, Dafna Ben Bashat has authored 117 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Radiology, Nuclear Medicine and Imaging, 30 papers in Pediatrics, Perinatology and Child Health and 17 papers in Genetics. Recurrent topics in Dafna Ben Bashat's work include Advanced Neuroimaging Techniques and Applications (35 papers), Advanced MRI Techniques and Applications (27 papers) and MRI in cancer diagnosis (20 papers). Dafna Ben Bashat is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (35 papers), Advanced MRI Techniques and Applications (27 papers) and MRI in cancer diagnosis (20 papers). Dafna Ben Bashat collaborates with scholars based in Israel, United States and United Kingdom. Dafna Ben Bashat's co-authors include Talma Hendler, Moran Artzi, Liat Ben‐Sira, Rafael Malach, Itamar Kahn, Gilad Liberman, Orna Aizenstein, Felix Bokstein, Ricardo Tarrasch and Michal Ben‐Shachar and has published in prestigious journals such as Neuron, PLoS ONE and NeuroImage.

In The Last Decade

Dafna Ben Bashat

115 papers receiving 3.2k citations

Peers

Dafna Ben Bashat
Comparison fields: 5 of 143
  • Radiology, Nuclear Medicine and Imaging 1.4k
  • Cognitive Neuroscience 1.2k
  • Pediatrics, Perinatology and Child Health 477
  • Genetics 445
  • Psychiatry and Mental health 388
Replace Michela Tosetti with:
Michela Tosetti Italy
Paulina Due‐Tønnessen Norway
Massimo Caulo Italy
Tsutomu Nakada Japan
Atle Bjørnerud Norway
Christophe Destrieux France
Irina Mader Germany
Deqiang Qiu United States
Jonathan D. Clayden United Kingdom
Antoni Capdevila Spain
Michela Tosetti Italy View profile →
Citations per field, relative to Dafna Ben Bashat
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Citations per year, relative to Dafna Ben Bashat
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Countries citing papers authored by Dafna Ben Bashat

Since Specialization
Citations

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

Fields of papers citing papers by Dafna Ben Bashat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dafna Ben Bashat. 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 Dafna Ben Bashat. The network helps show where Dafna Ben Bashat may publish in the future.

Co-authorship network of co-authors of Dafna Ben Bashat

This figure shows the co-authorship network connecting the top 25 collaborators of Dafna Ben Bashat. A scholar is included among the top collaborators of Dafna Ben Bashat 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 Dafna Ben Bashat. Dafna Ben Bashat 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
# Work Indexed citations
1 2
2 0
3 3
4 8
5 3
6 3
7 6
8 16
9 15
10 1
11 13
12 77
13 25
14 15
15
The application of Compressed Sensing for Longitudinal MRI.
7
16 12
17 67
18 21
19 7
20 231

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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