Leila Nabulsi

1.9k total citations
21 papers, 150 citations indexed

About

Leila Nabulsi is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Psychiatry and Mental health. According to data from OpenAlex, Leila Nabulsi has authored 21 papers receiving a total of 150 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Radiology, Nuclear Medicine and Imaging, 14 papers in Cognitive Neuroscience and 7 papers in Psychiatry and Mental health. Recurrent topics in Leila Nabulsi's work include Advanced Neuroimaging Techniques and Applications (18 papers), Functional Brain Connectivity Studies (14 papers) and Bipolar Disorder and Treatment (7 papers). Leila Nabulsi is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (18 papers), Functional Brain Connectivity Studies (14 papers) and Bipolar Disorder and Treatment (7 papers). Leila Nabulsi collaborates with scholars based in United States, Ireland and United Kingdom. Leila Nabulsi's co-authors include Colm McDonald, Dara M. Cannon, Liam Kilmartin, Brian Hallahan, Genevieve McPhilemy, Fiona M. Martyn, Theophilus N. Akudjedu, Stefani O’Donoghue, Kevin Murphy and Joseph R. Whittaker and has published in prestigious journals such as Biological Psychiatry, Cerebral Cortex and Neuropsychopharmacology.

In The Last Decade

Leila Nabulsi

21 papers receiving 149 citations

Peers

Leila Nabulsi
Comparison fields: 5 of 42
  • Cognitive Neuroscience 80
  • Radiology, Nuclear Medicine and Imaging 65
  • Psychiatry and Mental health 61
  • Experimental and Cognitive Psychology 26
  • Pediatrics, Perinatology and Child Health 14
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Citations per field, relative to Leila Nabulsi
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Citations per year, relative to Leila Nabulsi
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Countries citing papers authored by Leila Nabulsi

Since Specialization
Citations

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

Fields of papers citing papers by Leila Nabulsi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leila Nabulsi

This figure shows the co-authorship network connecting the top 25 collaborators of Leila Nabulsi. A scholar is included among the top collaborators of Leila Nabulsi 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 Leila Nabulsi. Leila Nabulsi 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 3
3 9
4 1
5 2
6 4
7 1
8 3
9 11
10 9
11 1
12 2
13 2
14 14
15 3
16 2
17 5
18
Using Magnetic Resonance Imaging to Distinguish a Healthy Brain from a Bipolar Brain: A Transfer Learning Approach.
1
19 12
20 17

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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