Neda Jahanshad

36.5k citations
275 papers · 5.2k indexed · h-index 41
Topics
Advanced Neuroimaging Techniques and Applications (165 papers)Functional Brain Connectivity Studies (110 papers)Advanced MRI Techniques and Applications (69 papers)

In The Last Decade

Neda Jahanshad

261 papers receiving 5.2k citations

Peers

Neda Jahanshad
Comparison fields: 5 of 164
  • Radiology, Nuclear Medicine and Imaging 2.3k
  • Cognitive Neuroscience 2.3k
  • Psychiatry and Mental health 855
  • Molecular Biology 779
  • Physiology 652
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Countries citing papers authored by Neda Jahanshad

Since Specialization
Citations

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

Fields of papers citing papers by Neda Jahanshad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neda Jahanshad

This figure shows the co-authorship network connecting the top 25 collaborators of Neda Jahanshad. A scholar is included among the top collaborators of Neda Jahanshad 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 Neda Jahanshad. Neda Jahanshad 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
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3 0
4 9
5 17
6 16
7 47
8 14
9 14
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11 13
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13 17
14 11
15 27
16 23
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Genome-wide association identifies genetic variants associated with lentiform nucleus volume in N = 1345 young and elderly subjects
1
19
Brain network efficiency and topology depend on the fiber tracking method: 11 tractography algorithms compared in 536 subjects
6
20
Sex differences in the human connectome: 4-Tesla high angular resolution diffusion imaging (HARDI) tractography in 234 young adult twins
14

About Neda Jahanshad

Neda Jahanshad is a scholar working on Computational Mathematics, Radiology, Nuclear Medicine and Imaging and Cognitive Neuroscience, having authored 275 papers that have together received 5.2k indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (165 papers), Functional Brain Connectivity Studies (110 papers) and Advanced MRI Techniques and Applications (69 papers). The work is most often cited by research in Computational Mathematics (85 citations), Cognitive Neuroscience (2.3k citations) and Radiology, Nuclear Medicine and Imaging (2.3k citations). Neda Jahanshad has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Paul M. Thompson, Arthur W. Toga, Talia M. Nir, Clifford R. Jack, Michael W. Weiner, Greig I. de Zubicaray, Margaret J. Wright, Katie L. McMahon, Nicholas G. Martin and Madelaine Daianu. Their work appears in journals such as Proceedings of the National Academy of Sciences, Circulation and Nature Communications.

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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