Layla Banihashemi

60 total papers · 836 total citations
38 papers, 627 citations indexed

About

Layla Banihashemi is a scholar working on Cognitive Neuroscience, Clinical Psychology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Layla Banihashemi has authored 38 papers receiving a total of 627 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Cognitive Neuroscience, 10 papers in Clinical Psychology and 9 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Layla Banihashemi's work include Functional Brain Connectivity Studies (15 papers), Stress Responses and Cortisol (9 papers) and Neonatal and fetal brain pathology (7 papers). Layla Banihashemi is often cited by papers focused on Functional Brain Connectivity Studies (15 papers), Stress Responses and Cortisol (9 papers) and Neonatal and fetal brain pathology (7 papers). Layla Banihashemi collaborates with scholars based in United States, Brazil and Germany. Layla Banihashemi's co-authors include Linda Rinaman, Lei K. Sheu, Howard Aizenstein, Carmen Andreescu, Mary L. Phillips, Michael J. Travis, Stefanie Hassel, Jorge Almeida, Natalie C. Kerr and Dana Tudorascu and has published in prestigious journals such as Journal of Neuroscience, NeuroImage and Brain.

In The Last Decade

Layla Banihashemi

35 papers receiving 621 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Layla Banihashemi 220 169 155 132 121 38 627
Shigeru Toki 315 1.4× 124 0.7× 90 0.6× 85 0.6× 191 1.6× 19 657
David A. A. Baranger 218 1.0× 171 1.0× 178 1.1× 139 1.1× 77 0.6× 37 740
G Charles 163 0.7× 155 0.9× 130 0.8× 181 1.4× 229 1.9× 41 721
Masayuki Kanehisa 82 0.4× 112 0.7× 228 1.5× 149 1.1× 222 1.8× 37 736
Katherine S. F. Damme 310 1.4× 203 1.2× 199 1.3× 297 2.3× 63 0.5× 61 749
Harold Dadomo 100 0.5× 95 0.6× 200 1.3× 82 0.6× 154 1.3× 23 617
Taiga Ninomiya 84 0.4× 107 0.6× 152 1.0× 76 0.6× 215 1.8× 29 568
Kirstin L. Purves 197 0.9× 197 1.2× 285 1.8× 150 1.1× 59 0.5× 28 701
Mauro F. Larra 269 1.2× 96 0.6× 55 0.4× 110 0.8× 189 1.6× 34 657
Yoshinobu Ishitobi 77 0.3× 109 0.6× 151 1.0× 77 0.6× 217 1.8× 31 583

Countries citing papers authored by Layla Banihashemi

Since Specialization
Citations

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

Fields of papers citing papers by Layla Banihashemi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Layla Banihashemi

This figure shows the co-authorship network connecting the top 25 collaborators of Layla Banihashemi. A scholar is included among the top collaborators of Layla Banihashemi 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 Layla Banihashemi. Layla Banihashemi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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